Subjects -> TRANSPORTATION (Total: 216 journals)
    - AIR TRANSPORT (9 journals)
    - AUTOMOBILES (26 journals)
    - RAILROADS (10 journals)
    - ROADS AND TRAFFIC (9 journals)
    - SHIPS AND SHIPPING (39 journals)
    - TRANSPORTATION (123 journals)

TRANSPORTATION (123 journals)                     

Showing 1 - 53 of 53 Journals sorted alphabetically
Accident Analysis & Prevention     Hybrid Journal   (Followers: 123)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 9)
Applied Mobilities     Hybrid Journal   (Followers: 3)
Archives of Transport     Open Access   (Followers: 18)
Asian Transport Studies     Open Access   (Followers: 1)
Botswana Journal of Technology     Full-text available via subscription   (Followers: 1)
Case Studies on Transport Policy     Hybrid Journal   (Followers: 16)
Cities in the 21st Century     Open Access   (Followers: 17)
Danish Journal of Transportation Research / Dansk Tidsskrift for Transportforskning     Open Access   (Followers: 3)
Decision Making : Applications in Management and Engineering     Open Access   (Followers: 2)
Economics of Transportation     Partially Free   (Followers: 14)
Emission Control Science and Technology     Hybrid Journal   (Followers: 2)
eTransportation     Open Access   (Followers: 2)
EURO Journal of Transportation and Logistics     Hybrid Journal   (Followers: 15)
European Transport Research Review     Open Access   (Followers: 24)
Geosystem Engineering     Hybrid Journal   (Followers: 2)
IATSS Research     Open Access  
IEEE Open Journal of Intelligent Transportation Systems     Open Access   (Followers: 7)
IEEE Vehicular Technology Magazine     Full-text available via subscription   (Followers: 7)
IET Electrical Systems in Transportation     Open Access   (Followers: 11)
IET Intelligent Transport Systems     Open Access   (Followers: 12)
IET Smart Cities     Open Access  
IFAC-PapersOnLine     Open Access   (Followers: 1)
International Journal of Applied Logistics     Full-text available via subscription   (Followers: 11)
International Journal of Crashworthiness     Hybrid Journal   (Followers: 12)
International Journal of e-Navigation and Maritime Economy     Open Access   (Followers: 6)
International Journal of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 11)
International Journal of Electronic Transport     Hybrid Journal   (Followers: 9)
International Journal of Heavy Vehicle Systems     Hybrid Journal   (Followers: 7)
International Journal of Intelligent Transportation Systems Research     Hybrid Journal   (Followers: 16)
International Journal of Mobile Communications     Hybrid Journal   (Followers: 9)
International Journal of Ocean Systems Management     Hybrid Journal   (Followers: 3)
International Journal of Physical Distribution & Logistics Management     Hybrid Journal   (Followers: 14)
International Journal of Services Technology and Management     Hybrid Journal   (Followers: 1)
International Journal of Sustainable Transportation     Hybrid Journal   (Followers: 19)
International Journal of Traffic and Transportation Engineering     Open Access   (Followers: 19)
International Journal of Transportation Engineering     Open Access   (Followers: 2)
International Journal of Transportation Science and Technology     Open Access   (Followers: 12)
International Journal of Vehicle Systems Modelling and Testing     Hybrid Journal   (Followers: 3)
Journal of Advanced Transportation     Hybrid Journal   (Followers: 16)
Journal of Big Data Analytics in Transportation     Hybrid Journal   (Followers: 2)
Journal of Intelligent and Connected Vehicles     Open Access   (Followers: 2)
Journal of KONES     Open Access   (Followers: 1)
Journal of Mechatronics, Electrical Power, and Vehicular Technology     Open Access   (Followers: 6)
Journal of Modern Transportation     Full-text available via subscription   (Followers: 9)
Journal of Navigation     Hybrid Journal   (Followers: 284)
Journal of Sport & Social Issues     Hybrid Journal   (Followers: 12)
Journal of Sustainable Mobility     Full-text available via subscription   (Followers: 3)
Journal of Traffic and Transportation Engineering (English Edition)     Open Access   (Followers: 5)
Journal of Transport & Health     Hybrid Journal   (Followers: 12)
Journal of Transport and Land Use     Open Access   (Followers: 27)
Journal of Transport and Supply Chain Management     Open Access   (Followers: 16)
Journal of Transport Geography     Hybrid Journal   (Followers: 28)
Journal of Transport History     Hybrid Journal   (Followers: 13)
Journal of Transportation Safety & Security     Hybrid Journal   (Followers: 10)
Journal of Transportation Security     Hybrid Journal   (Followers: 2)
Journal of Transportation Systems Engineering and Information Technology     Full-text available via subscription   (Followers: 12)
Journal of Transportation Technologies     Open Access   (Followers: 15)
Journal of Waterway Port Coastal and Ocean Engineering     Full-text available via subscription   (Followers: 8)
Journal on Vehicle Routing Algorithms     Hybrid Journal  
Les Dossiers du Grihl     Open Access   (Followers: 1)
LOGI ? Scientific Journal on Transport and Logistics     Open Access   (Followers: 1)
Logistics     Open Access   (Followers: 3)
Logistics & Sustainable Transport     Open Access   (Followers: 6)
Logistique & Management     Hybrid Journal  
Mobility in History     Full-text available via subscription   (Followers: 5)
Modern Transportation     Open Access   (Followers: 12)
Nonlinear Dynamics     Hybrid Journal   (Followers: 21)
Open Journal of Safety Science and Technology     Open Access   (Followers: 18)
Open Transportation Journal     Open Access   (Followers: 1)
Packaging, Transport, Storage & Security of Radioactive Material     Hybrid Journal   (Followers: 4)
Periodica Polytechnica Transportation Engineering     Open Access  
Pervasive and Mobile Computing     Hybrid Journal   (Followers: 8)
Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit     Hybrid Journal   (Followers: 15)
Promet : Traffic &Transportation     Open Access  
Public Transport     Hybrid Journal   (Followers: 21)
Recherche Transports Sécurité     Hybrid Journal   (Followers: 1)
Research in Transportation Business and Management     Partially Free   (Followers: 8)
Revista Transporte y Territorio     Open Access   (Followers: 1)
Revue Marocaine de Management, Logistique et Transport     Open Access  
Romanian Journal of Transport Infrastructure     Open Access   (Followers: 1)
SourceOCDE Transports     Full-text available via subscription   (Followers: 2)
Sport, Education and Society     Hybrid Journal   (Followers: 13)
Sport, Ethics and Philosophy     Hybrid Journal   (Followers: 3)
Streetnotes     Open Access   (Followers: 1)
Synthesis Lectures on Mobile and Pervasive Computing     Full-text available via subscription   (Followers: 1)
Tire Science and Technology     Full-text available via subscription   (Followers: 3)
Transactions on Transport Sciences     Open Access   (Followers: 7)
Transport     Open Access   (Followers: 17)
Transport and Telecommunication     Open Access   (Followers: 5)
Transport in Porous Media     Hybrid Journal   (Followers: 2)
Transport Problems     Open Access   (Followers: 5)
Transport Reviews: A Transnational Transdisciplinary Journal     Hybrid Journal   (Followers: 10)
Transport technic and technology     Open Access   (Followers: 1)
Transportation     Hybrid Journal   (Followers: 35)
Transportation Engineering     Open Access   (Followers: 1)
Transportation Geotechnics     Full-text available via subscription   (Followers: 1)
Transportation in Developing Economies     Hybrid Journal  
Transportation Infrastructure Geotechnology     Hybrid Journal   (Followers: 8)
Transportation Journal     Full-text available via subscription   (Followers: 17)
Transportation Letters : The International Journal of Transportation Research     Hybrid Journal   (Followers: 6)
Transportation Research Interdisciplinary Perspectives     Open Access   (Followers: 3)
Transportation Research Part A: Policy and Practice     Hybrid Journal   (Followers: 41)
Transportation Research Part B: Methodological     Hybrid Journal   (Followers: 39)
Transportation Research Part C: Emerging Technologies     Hybrid Journal   (Followers: 31)
Transportation Research Procedia     Open Access   (Followers: 7)
Transportation Research Record : Journal of the Transportation Research Board     Full-text available via subscription   (Followers: 36)
Transportation Safety and Environment     Open Access   (Followers: 2)
Transportation Science     Full-text available via subscription   (Followers: 26)
Transportation Systems and Technology     Open Access  
TRANSPORTES     Open Access   (Followers: 6)
Transportmetrica A : Transport Science     Hybrid Journal   (Followers: 9)
Transportmetrica B : Transport Dynamics     Hybrid Journal   (Followers: 1)
Transportrecht     Hybrid Journal   (Followers: 1)
Travel Behaviour and Society     Full-text available via subscription   (Followers: 12)
Travel Medicine and Infectious Disease     Hybrid Journal   (Followers: 4)
Urban Development Issues     Open Access   (Followers: 3)
Urban, Planning and Transport Research     Open Access   (Followers: 33)
Vehicles     Open Access  
Vehicular Communications     Full-text available via subscription   (Followers: 4)
World Electric Vehicle Journal     Open Access   (Followers: 1)
World Review of Intermodal Transportation Research     Hybrid Journal   (Followers: 6)
Транспортні системи та технології перевезень     Open Access  


Similar Journals
Journal Cover
Transportation Research Interdisciplinary Perspectives
Number of Followers: 3  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2590-1982
Published by Elsevier Homepage  [3301 journals]
  • A systematic overview of transportation equity in terms of accessibility,
           traffic emissions, and safety outcomes: From conventional to emerging

    • Abstract: Publication date: Available online 5 February 2020Source: Transportation Research Interdisciplinary PerspectivesAuthor(s): Yujie Guo, Zhiwei Chen, Amy Stuart, Xiaopeng Li, Yu Zhang Emerging transportation technologies (e.g., electric vehicles) and services (e.g., shared mobility) provide efficient, sustainable and cost-effective alternatives to traditional travel modes. However, whether these innovative technologies bring benefits to different population groups in an equal and reasonable manner is still an open question. The various methods applied to evaluate the equity performance of these systems are also not clearly comparable. In this paper, we comprehensively review methods from the existing literature for assessing the equity of a few important system outcomes: accessibility, traffic emissions, and safety. We also identify the existing challenges of analyzing equity for emerging transportation technologies. We unify the existing methodologies into a three-step framework that includes population measurement, cost/benefit measurement and equity assessment, and we summarize the applicable measurements for each step, in detail. A handful of literature focusing on emerging transportation technologies, such as shared mobility and autonomous vehicles, were also identified and surveyed; the methodologies used were found to fit with the three-step framework. We summarize the major findings and discuss promising directions for developing more sophisticated equity assessment methodologies for emerging transportation technologies. Overall, based on a comprehensive review, this paper contributes a framework for assessing the equity of transportation systems that integrates accessibility, traffic emissions, and safety outcomes. The summarized framework can be an overview resource to assist researchers and transportation planners who require equity analysis methods. The research gaps identified also provide directions for equity research on emerging transportation technologies.
  • Drones for parcel and passenger transportation: A literature review

    • Abstract: Publication date: Available online 23 January 2020Source: Transportation Research Interdisciplinary PerspectivesAuthor(s): Robin Kellermann, Tobias Biehle, Liliann Fischer Delivery drones and ‘air taxis’ are currently among the most intensely discussed emerging technologies, likely to expand mobility into the ‘third dimension’ of low-level airspace. This paper presents a systematic literature review of 111 interdisciplinary publications (2013 - 03/2019). The review systematizes the current socio-technical debate on civil drones for transportation purposes allowing for a (critical) interim assessment. To guide the review process four dimensions of analysis were defined. A total of 2581 relevant quotations were subdivided into anticipated barriers (426), potential problems (1037), proposed solutions (737) and expected benefits (381). We found that the debate is characterized by predominantly technical and regulatory problems and barriers which are considered to prevent or impede the use of drones for parcel and passengers transportation. At the same time, definite economic expectations are juxtaposed with quite complex and differentiated concerns regarding societal and environmental impacts. Scrutinizing the most prevalent transportation-related promises of traffic reduction, travel time saving and environmental relief we found that there is a strong need to provide scientific evidence for the promises linked to the use of drones for transportation. We conclude that the debate on drones for transportation needs further qualification, emphasizing societal benefits and public involvement more strongly.
  • Mathematical modeling of air pollution in city tunnels and evaluating
           mitigation strategies

    • Abstract: Publication date: Available online 17 January 2020Source: Transportation Research Interdisciplinary PerspectivesAuthor(s): M.N. Smirnova, V.F. Nikitin, D.A. Pestov, Zuojin Zhu A mаthemаtical model has been developed that is able to describe the environment of the city tunnels being affected by the road traffic, natural and forced air convective flows. The mathematical model describes the peculiarities of the traffic flows on one-lane roads with a satisfactory accuracy. The model well matches experimental data on traffic flows. Multidimensional calculations of the influence of cars on the airflow in tunnels are performed. The numerical model for simulating exhaust gas emissions by automobiles and their accumulation in a tunnel and evolution with traffic induced air flow was developed. The results of numerical investigations make it possible providing recommendations for transport researchers and policy-makers. In particular, it was shown that in the presence of long tunnels on automobile roads it is necessary to choose the traffic arrangement avoiding the necessity for vehicles to come to a full stop and then accelerate in tunnels. This could happen in the presence of traffic lights or other type of traffic regulation near the exit of the tunnel. Thus it is necessary in arranging traffic regulation avoiding placing traffic lights in the proximity of tunnel exit for the waiting cars line to be shorter than the distance from the tunnel exit. In venting the tunnel, the direction of the wind should coincide with the direction of traffic flow. Attempts to arrange venting in the opposite direction for high blockage ratio of a tunnel by vehicles could result in bringing to a worse situation with air pollution.
  • Using social media to evaluate associations between parking supply and
           parking sentiment

    • Abstract: Publication date: Available online 13 January 2020Source: Transportation Research Interdisciplinary PerspectivesAuthor(s): Andrew Mondschein, David A. King, Christopher Hoehne, Zhiqiu Jiang, Mikhail Chester A common complaint against changing parking requirements is that parking is critical for businesses to survive. Such statements are generally taken as a statement of fact by planners and local officials, yet there is little empirical work in support of this claim. This research examines how online business reviews reflect customer sentiment toward parking, and how this sentiment is associated with the supply of parking. The Phoenix, Arizona region is used for this analysis. The parking supply at the parcel level is combined with data from user-generated Yelp business reviews to assess satisfaction or frustration with parking at different types of businesses in commercial districts across the region. Results suggest that parking is mentioned in about 5% of overall reviews, and when mentioned in reviews it is most often as a negative characteristic of the establishment. Reviews that mention parking also give significantly lower ratings to businesses. The analysis shows that parking sentiment may be associated in some cases with parking supply, e.g. districts with more parking spaces per business tend to have more positive parking sentiment. Additionally, in areas with shared parking facilities, parking was generally viewed more positively or mentioned less frequently. These findings suggest that parking supply is part of a customer's overall perception of a business, though not a major component, and that shared parking facilities are not associated with negative reviews. Implications for policy are that shared parking can be part of an overall package of parking reforms that satisfy businesses and customers alike.
  • Evaluating driver cognitive distraction by eye tracking: From simulator to

    • Abstract: Publication date: Available online 18 December 2019Source: Transportation Research Interdisciplinary PerspectivesAuthor(s): Anh Son Le, Tatsuya Suzuki, Hirofumi Aoki Driver cognitive distraction, a critical factor for road safety, is challenging for researchers to evaluate, especially under real conditions. This paper introduces a novel method for simulating involuntary eye movement by combining the vestibulo-ocular reflex model and the optokinetic response. The difference between the predicted and observed eye movements is then assumed to be a measure of the level of cognitive distraction. When this hypothesis was validated under two sets of conditions, in a driving simulator and in a naturalistic situation, our algorithm was able to capture the cognitive distraction event in the naturalistic case. In addition, we also review and discuss the eye-movement sensor, which has a marked effect on the results of the evaluation, and the potential of using eye-movement sensors to evaluate cognitive distraction in drivers.
  • Ranking factors affecting public transport mode choice of commuters in an
           urban city of a developing country using analytic hierarchy process: The
           case of Metro Cebu, Philippines

    • Abstract: Publication date: Available online 13 December 2019Source: Transportation Research Interdisciplinary PerspectivesAuthor(s): Francis L. Mayo, Evelyn B. Taboada Understanding the factors that impact commuter's transport mode choice is one of the important key aspects to consider when aiming for a sustainable transportation system, especially in developing countries where this is still a relatively new concept. This study aims to examine and rank the factors that commuters in selected urban cities in the Philippines perceive to significantly affect their transport mode choice. Data collected from three urban cities in Metro Cebu are used to determine which factors and transport mode choice are prioritized based on demographic and socioeconomic segments as well as reasons for travelling. Factors and modes of transportation are ranked using analytic hierarchy process. Key findings show that regardless of age, gender, income and intent of travel, safety is ranked first over accessibility, cost of travel, comfort and concern for environment. Despite the worsening traffic conditions and increasing cost of travel, private and semi-private for-hire vehicles are highly ranked over various mass transport systems when all factors are simultaneously considered. It is noteworthy to see how factors are ranked 2nd after safety by each group. The results can be used by policymakers to evaluate and develop relevant transport policies that complement a sustainable transport system.
  • From knowledge to action: Measuring the gaps between the evidence and
           adapted driver education services for young adults with disabilities

    • Abstract: Publication date: Available online 6 December 2019Source: Transportation Research Interdisciplinary PerspectivesAuthor(s): Camille Breault, Julien Déry, Maryse Beaudry, Sylvie Chénard, Isabelle Gélinas, Ernesto Morales, Marie-Eve Lamontagne IntroductionDriving is an important activity for the social participation of young people with physical and cognitive disabilities. Learning to drive, however, presents difficulties for this population. Innovative services have been developed in the province of Québec, Canada, but the extent to which they are evidence-based is not known nor are optimal parameters for learning to drive.ObjectivesThe aims of this study were to 1) explore users' views and preferences with respect to learning to drive; 2) create indicators based on science, experience, and users' views and preferences that can be used to evaluate driver education programs; and 3) use these indicators to measure the gaps between knowledge and practice in an existing adapted driver education program.MethodBased on an integrated knowledge translation model, this study used a qualitative and quantitative design consisting of three steps: 1) focus group meeting and telephone interviews with users, 2) definition and validation of criteria and indicators, and 3) chart audit.Results1) Users' needs and expectations were documented from the focus group meeting and three interviews. 2) Building on the results of step 1 and a review of the literature, including expert opinions on adapted driver's education, 34 quality indicators were created. These indicators were supported by information from the literature (42%), expert opinions (33%), and users' views (25%). 3) Forty charts from an existing program were audited and showed that the indicators are relevant to evaluate the quality of this type of program.ConclusionThese preliminary indicators were created to facilitate the implementation of new evidence-based adapted driver education programs. This entire initiative will make it easier for young adults with disabilities to obtain a driver's licence, which will ultimately foster more satisfactory social participation.
  • The impact on neighbourhood residential property valuations of a newly
           proposed public transport project: The Sydney Northwest Metro case study

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Yuer Chen, Maziar Yazdani, Mohammad Mojtahedi, Sidney Newton The development of new and upgraded transport infrastructure projects are driving economic benefits for business, the environment and society. Major transport projects can fundamentally reshape the very fabric of urban development. However, they are also incredibly expensive to build and can represent a significant burden on the public purse. A vexed question is how the broader benefit of improved transport infrastructure in operation might usefully be leveraged to contribute to the capital investment cost. The Transit-Oriented Development impact of new transportation infrastructure on the value of local property is gaining increasing attention as a potential source of capital contribution. This study investigates the extent of value uplift in property brought about by the announcement and construction of a major transport infrastructure development in Sydney, Australia. A Hedonic Price Model approach is used to assess data on the market valuation of nearby properties and relevant Census data over two distinct project stages: project announcement (2008–2012), and project construction (2013–2019). Findings of the case study show that the impact of rail transit on property prices is significant, but are generally negative at the announcement stage and positive at the construction stage. At the construction stage, residential prices rose an average of 0.037% for every 1% reduction in the distance to the nearest metro station. Of the three models considered for the Hedonic Price Model the Log-linear model (elastic model) has been shown to perform best in representing the relationships in this particular case.
  • Identification of trip generators using remote sensing and geographic
           information system

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Cláudia A. Soares Machado, José Alberto Quintanilha The traditional methods of building and updating databases for transport analysis that address origin/destination (O/D) data collection, such as surveys and traffic counting, are generally manual, costly and time-consuming. This serves as an impediment, especially in developing countries, owing to factors such as scarcity of financial resources, lack of skilled personnel, and high rate of urban criminality that dissuades interviewers from making visits and threatens equipment integrity. In this paper, we propose an alternative methodology that is more agile, cheaper, and safer in comparison, which identifies zones with clusters of trip generators (TG), i.e., areas with the highest potential to generate trips. This method utilizes the object-based image analysis approach to extract from satellite images, zones with high potential to generate trips in the city of João Pessoa in Brazil. It aims to map the land use/land cover (LULC) changes through image classification and associate the resulting LULC classes with the urban trip generation (O/D) data. By identifying zones that generate the most number of trips, the results can help to devise guidelines for conducting fieldwork that can facilitate the creation of a comprehensive repository to improve transportation planning. The identification of TG can supplement or provide preliminary measures for scouting prospective O/D zones. This paper constitutes an effort to integrate remote sensing into the urban planning process, primarily in areas where readily accessible data on transportation facilities and performance either does not exist or is rendered obsolete, which is often the norm in developing countries.
  • Link-level travel time measures-based level of service thresholds by the
           posted speed limit

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Swapneel R. Kodupuganti, Srinivas S. Pulugurtha Macroscopic parameters, such as density, volume-to-capacity ratio, and speed, are traditionally used to assess the level of service (LOS) of freeway/expressway or arterial road links. Capturing real-world data pertaining to these macroscopic parameters for all the links in the transportation network is expensive, tedious, and challenging. Additionally, density and volume-to-capacity ratio are not easily perceived by the commuters. Recent trends indicate that large-scale travel time data can be collected anonymously and without the use of field technicians, through global positioning systems (GPS), sensors, smartphones with apps, and other technological devices. The focus of this research is to develop link-level travel time measures-based LOS thresholds for urban areas, using large-scale travel time data from a private data source. The posted speed limit for each selected link in the city of Charlotte, North Carolina was integrated with the raw travel time data for the corresponding link. Travel time measures such as the average travel time, the 95th percentile travel time (planning time, PT), the planning time index (PTI), and the buffer time index (BTI) were computed and categorized by the posted speed limit of each selected link. The relationships between estimated speeds from the regional network model and computed travel time measures were then examined to develop LOS thresholds at link-level by the posted speed limit.
  • Using the abstraction hierarchy to identify how the purpose and structure
           of road transport systems contributes to road trauma

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Paul M. Salmon, Gemma J.M. Read, Nicholas Stevens, Guy H. Walker, Vanessa Beanland, Rod McClure, Brett Hughes, Ian R. Johnston, Neville A. Stanton Research is beginning to demonstrate the merits of considering the broader road transport system when attempting to understand and prevent road trauma. This study involved the use of Work Domain Analysis, a systems analysis method, to develop a model of a road transport system based on Queensland, Australia. The model was subsequently used to identify the system wide contributory factors that play a role in road crashes, and to identify aspects of road transport systems that could be exploited when developing road safety interventions. The findings show that there are a set of crash contributory factors relating to the raison d'etre, values, and functions of road transport systems. This suggests that further significant reductions in road trauma will only be achieved through fundamental changes to the road transport system itself. Examples discussed include reducing the emphasis on the use of road transport for economic growth, reducing motor vehicle use and increasing active transport modes, and overhauling road safety strategies.
  • Factors influencing Pedestrian Speed in Level of Service (LOS) of
           pedestrian facilities

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Sangeeth K., Abhijit Lokre Walking is the major mode of transportation for the pedestrians in their daily life. To provide the pedestrians with good infrastructure facilities we need to know the requirement for it. The requirement can be found only after the evaluation of existing facilities and its impact on pedestrian flow. There are different methods for evaluating Level of Service (LOS) for pedestrian facilities which is given in Highway Capacity Manual (HCM) and Indian Roads Congress (IRC). In this study it was found that different LOS can be obtained for different parameters as discussed in the Highway Capacity Manual (HCM), that has to be questioned which led to a detailed study of one of the parameters, Pedestrian Speed. There are different factors that influence the pedestrians speed. The factors identified for the study are age group, gender, size of the group and trip purpose of the pedestrians. Through the survey, the primary data are collected based on the factors influencing the pedestrian speed. After analysis it was found that, Pedestrian Speed varies with respect to Age Group, Gender, Group Size and Trip Purpose of the pedestrians. At the end of the study a new chart for evaluating pedestrian LOS based on Pedestrian Speed was formulated and validated.
  • How to support cooperative driving by HMI design'

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Ann-Kathrin Kraft, Christian Maag, Martin Baumann Cooperative driving means that drivers coordinate their individual driving in a way that the involved drivers facilitate each others' goal achievement. In cooperation situations, like merging or turning left, one driver on a priority road generates a gap to help a driver on a minor road. This study aimed to investigate what kind of information should be provided to the driver via the Human-Machine-Interface (HMI) to support cooperative driving. Therefore, three different visual HMIs that vary in the type of information presented were developed to examine the drivers' information needs. The HMI focus either on the illustration of the partner and the gap, giving an advice how to drive, or the presentation of the current status of the advanced driver assistance system (ADAS). The results show that the acceptance, comprehensibility of and reliance in the ADAS for cooperative driving are highest when the HMI highlights the partner and gap. From the perspective of the ‘cooperation granting’ driver confirming explicitly a cooperation request and an advice how to generate the gap are perceived as helpful. This clearly indicates that the driver requesting cooperation prefers information about the situation, whereas the driver granting cooperation additionally appreciates support in how to execute the maneuver.
  • The irresistible peak-hour: Instrumental and axiological rationales of
           work hours' synchronisation

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Emmanuel Munch An ever-increasing proportion of the French working population today has working hours that are no longer subject to the explicit diktat of their employer. However, in Île-de-France (Paris region), the problems of morning rush-hour congestion continue to worsen. Before trying to solve peak congestion problems, therefore, we need to understand the underlying reasons behind an individual work schedule choices. Why does a person on flexitime commute during rush hour' Our research adopts an interpretive approach and focuses on daily scheduling demands. It draws on the results of a survey (3202 respondents) and interviews (29) with management level employees working in the Plaine Saint-Denis business district. In describing the temporal strategies that explain voluntary peak-hour commuting, we find results along three dimensions: (I) there are coupling constraints (school times, meeting times) that force workers with flexible hours to commute during peak hours; (II) workers with flexible hours and fewer coupling constraints prefer to arrive before or during rush hour in order to enjoy late afternoon activities with family and friends; (III) there are social norms on working hours (ideal of the disciplined worker or the dedicated executive) that limit flexibility by frowning on those who arrive overly late at the office. In conclusion, by revealing the organic intricacy of the factors that lead to synchronisation, our article is able to generate operational recommendations for reducing congestion at peak hours.
  • TravelBot: Utilising social media dialogue to provide journey
           disruption alerts

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Paul Gault, Caitlin D. Cottrill, David Corsar, Peter Edwards, John D. Nelson, Milan Markovic, Mujtaba Mehdi, Somayajulu Sripada Use of social media in the public transport sector is rapidly increasing, driven by both passenger demand, and recognition by transport operators of the insights that social media enables. This paper explores the potential for utilising social media (specifically, the Twitter platform) to provide personalised information to public transport passengers, drawing from lessons learned from related studies. The Tweeting Travel study developed an understanding of the types of dialogues that can unfold on social media between passengers and a simulated travel advice system and then used this to shape development of the TravelBot system. This system provided users with real-time passenger information, including details of relevant travel disruptions that were automatically extracted from social media posts. A user evaluation of a TravelBot trial is presented, findings of which showed that participants highly valued the service and the information it provided, with most indicating a strong desire for the system to continue operation. These findings reveal the potential offered by social media for more personalised communication between public transport operators and their passengers, as well as indicating an efficient method by which this communication may be enabled.
  • Factors associated with physical, psychological and functional outcomes in
           adult trauma patients following Road Traffic Crash: A scoping literature

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Rayan Alharbi, Ian Mosley, Charne Miller, Stav Hillel, Virginia Lewis ObjectiveRoad Traffic Crashes (RTCs) are a major cause of disability globally, with millions of people being injured or disabled each year. This study aims to identify the factors reported in the literature that are associated with physical, psychological and functional outcomes of adult trauma patients following an RTC.MethodsA scoping literature review was conducted. Peer-reviewed articles were retrieved from MEDLINE, EMBASE, and CINAHL. These databases were chosen as the MeSH and Emtree thesauri allow for high specificity searches. Moreover, these databases index the major biomedical/health journals in the field.ResultsThirty-one studies from 10 countries are reported in a PRISMA chart and summarized in a matrix. This review identified a number of factors that are clustered into six categories; (i.) injury characteristics and hospital predictive factors; (ii.) demographic factors; (iii.) family and social support; (iv.); compensation system process and fault in the RTC (v.); pre-injury health status. A final category was used to represent the range of (vi.) psychological and functional outcomes.ConclusionThese findings highlight the multiple and diverse contributors that influence a person's outcomes following an RTC. These factors are intrinsic and extrinsic and commence from the time of injury as well as highlighting the importance for ongoing support after acute care discharge to enable a quick return to optimal wellbeing. Research examining RTC outcomes must integrate information about the crash response and health care system while simultaneously measuring other factors to appropriately quantify the relative contribution of each variable to psychological and functional outcomes.
  • Embedding aircraft system modeling to ATM safety assessment techniques:
           The runway excursion safety case for runway strips with reduced strength

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Hartmut Fricke, Martin Schlosser, Mario A. Garcia, Michael Kaliske Several concepts were developed over the last years to fit safety assessment (SA) techniques to ATM operational needs. Quantitative SA models proved to achieve robust results if reliable data for hazard modeling and corresponding target levels of safety are available, inducing much effort in historic incident data gathering. Meanwhile, we consider hazard probability determination as a reliable mathematical process whereas consequence modeling as second risk component remains mainly a subjective technique. This paper presents an analytic approach to link a mechanical model of a representative critical aircraft part called TSIM (Tire-Soil Interaction Model) to an FEM (Finite Element Method) tire stress simulation to study critical aircraft part failures (here the landing gear) at high detail level during a hazardous condition. In doing so, we can show to significantly and robustly increase the transparency for allocating a severity category to a given hazard compared to current categories based on EASA and other international standards. The research also shows that risk-based aircraft part certification reveals weaknesses in data and setting of target levels of safety (TLS) as a risk considered to be acceptable in non-nominal situations. We apply the developed concept to a runway excursion scenario where the infrastructure is considered non-compliant to EASA/ICAO regulations.
  • Geoanalysis of park-and-ride facilities for future laboratory-wide
           commuting program

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Amy M. Moore, Scott J. Curran, Melissa V. Lapsa, Amy D. Bittler There is a growing interest in reducing the amount of vehicle miles traveled (VMT) to reduce overall carbon emissions and energy usage. The Oak Ridge National Laboratory (ORNL) has more than 4500 employees, most of which live in and around Knoxville, Tennessee. ORNL is currently developing a pilot commuting program for all employees, which incorporates the use of park-and-ride facilities. This study outlines the methodology behind the preliminary geoanalysis and routing used in developing a lab-wide commuting program. The data used for the study included numbers of employee residences per zip code. Commuting configurations by clustered zip code area and vehicle type were developed. Satellite imagery was used to locate actual, suitable parking facilities to accommodate the specified number of residents involved in each commuting configuration. Routing and estimations of travel times were performed using TransCAD. Energy estimates in kilowatt-hours (kwh) and gallons of gasoline, and gallons of gasoline equivalent, were all determined based on the resulting scenarios. Standard petroleum-fuelled vehicles were used in the initial estimates. Standard electric vehicles were also used in alternative scenarios to estimate potential additional energy and fuel savings. The initial findings from this work will be used to develop a pilot program for ORNL.
  • Innovative scenarios for modeling intra-city freight delivery

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Amy M. Moore There has been a shift in the focus of freight modeling to the short-haul (or last-mile) due to an increase in online shopping. This study considers innovative freight delivery modes and multi-modal shifts, especially for the last-mile portion of intra-city freight delivery. For this study, GPS data were obtained from a truck fleet from a major parcel delivery company's depot near Columbus, Ohio and used to develop a freight delivery demand estimation model. Freight delivery tours were modeled in TransCAD and used to develop scenarios to incorporate various modal shifts to compare energy usage in kilowatt-hour estimates. Innovative modes of freight delivery were considered for the scenarios and were compared to a class six truck: electric class six trucks, electric delivery vans, parcel delivery lockers, drones, and electric passenger vehicles. Initial findings suggest that electric trucks reduce energy usage when the majority of miles traveled are in the long-haul, or stem portion of the route. Parcel delivery lockers reduced energy usage in suburban areas, especially those with large neighborhoods with cul-de-sacs. The findings from this study were intended to provide decision makers, both in government and industry, with information to consider when determining suitable alternatives for energy-efficient intra-city freight transport.
  • Flood evacuation and rescue: The identification of critical road segments
           using whole-landscape features

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Edward Helderop, Tony H. Grubesic When studying real-world infrastructure systems as networks, one common avenue of analysis is the identification of critical network elements. These features are often defined as the nodes or edges in a given network that play an outsized role in the structure and functionality of the system. When network systems are under duress, particularly during (or just after) large-scale natural disasters, the continuity of networks is heavily dependent on these critical elements. If the critical features are vulnerable to disruption, the robustness of the network is compromised. The purpose of this paper is to introduce a novel geocomputational method for detecting critical road segments in a post-disaster landscape, with an eye toward human mobility and emergency response. This method accounts for the impacts of non-road landscape features on the overall traversability of an area and is contrasted with traditional critical feature analysis. The developed method provides several advantages, including the ability to produce higher-resolution, higher-fidelity criticality metrics for individual road segments. The paper concludes with a discussion on potential benefits to strategic urban planning, evacuation, and rescue planning during extreme events.
  • Computing optimum traffic signal cycle length considering vehicle delay
           and fuel consumption

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Alvaro J. Calle-Laguna, Jianhe Du, Hesham A. Rakha Traffic signal cycle lengths are traditionally optimized to minimize vehicle delay at intersections using the Webster formulation. This study continues previous work by the authors to enhance the Webster model and develop new formulations to compute the optimum cycle length, considering vehicle delay, fuel consumption, and tailpipe emissions. The microscopic simulation software INTEGRATION is used to simulate two-phase and four-phase isolated intersections over a wide range of traffic demand levels, traffic demand distributions, cycle lengths, and signal timing lost times. Intersection delay, fuel consumption levels, and emissions of carbon dioxide (CO2), hydrocarbon (HC), carbon monoxide (CO), and oxides of nitrogen (NOx) are derived from the simulation software. The optimum cycle lengths for various measures of effectiveness are then used to develop the proposed formulations. The simulation results demonstrate that the Webster method overestimates the optimum cycle length and produces unrealistically long cycle length estimates when the traffic volume-to-capacity ratio exceeds 50%. A new logarithmic delay model is proposed herein to address the shortcomings of the Webster model. This model is then calibrated to compute the optimum cycle lengths considering vehicle fuel consumption and emission levels. The estimated optimum cycle lengths for emissions are shown to be longer than the optimum cycle lengths for vehicle delay for lower levels of congestion. The paper demonstrates how a multi-objective cycle length can be computed to simultaneously minimize vehicle delays and fuel consumption levels. After computing the optimum cycle length, the optimum phase split can then be computed using the traditional approach of equating the degree of saturation across all phases. It is anticipated that the proposed formulations will produce significant savings in vehicle delay and fuel consumption levels.
  • Introducing a mobility on demand system to prospective users with the help
           of a serious game

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Alexandra König, Niels Kowala, Jan Wegener, Jan Grippenkoven Sustainable mobility concepts are challenged to create a positive users' attitude and a high willingness-to-use to be adopted and survive on the market. Prospective users must not merely be informed about the service but become involved and feel affected. The contribution introduces a digital learning game, a so called serious game, to improve players' knowledge, attitude and willingness to use mobility on demand systems (MODS). The goal of an evaluation study in a high school (N = 71) was to compare the serious game and an online research according to the proposed effects on knowledge, attitude and usage intention. The study demonstrates that pupils' level of knowledge about the operational concepts of MODS increased after playing the game and the retention rate was higher. Playing the game furthermore resulted in a more positive appraisal of MODS concerning their usefulness. No significant effect of the serious game on the later usage behaviour was found. The paper points out the benefits of a gamified approach for introducing mobility services to prospective users and derives recommendations for the application of gamified approaches to facilitate the adoption of new technology or services.
  • Creating a prediction model of passenger preference between low cost and
           legacy airlines

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Rian Mehta, Stephen Rice, John Deaton, Scott R. Winter The airline industry is highly competitive, and in order to increase profits, airlines are always looking to better target key customers. Increased understanding of customers also helps improve the product from the customer's perspective. This study aims to determine which factors predict airline passengers' preference between legacy and low-cost carriers. The correlational design used creates a prediction model for passengers from the United States. Through two stages of this study, 936 participants (379 females) from the US were utilized for the linear multiple regression analyses to build the model. In the first stage, the regression analysis was used to generate a regression model of passenger preference, which was then tested in the second stage, thereby validating the prediction model. Samples for each stage were independent and subjected to a backward stepwise regression analysis. To determine the influencers of passenger preference, nine potential predictors were surveyed. The predictors were age of the participant, gender of the participant, yearly income of the participant, education level of the participant, seat type, purpose of travel, frequency of travel in a year, category of frequent flier program, and risk-taking tendencies of the participant. The results of the data analysis showed frequency of travel in a year, yearly income of the participant, seat type, and education level of the participant as significant predictors of passengers' preference between legacy and low-cost carriers. This research has practical implications for the airline industry in better understanding the consumer base, which could lead to increased profitability for the carriers.
  • Rural Transport Services Indicators: Using a new mixed-methods methodology
           to inform policy in Ghana

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Francis Afukaar, James Damsere-Derry, Krijn Peters, Paul Starkey Rural people need access to markets and services. In developing countries, where private vehicle ownership is limited, villagers depend on public transport services. However, research evidence available to inform policy formulation is often extremely limited. To better understand the characteristics, costs, frequencies and acceptability of rural transport services in Ghana, data was collected using a methodology developed by the International Forum for Rural Transport and Development. This methodology combines traffic count data with structured qualitative interviews with transport users, operators, regulators and local development experts. A key finding concerned motorcycle taxis which, although officially banned in 2012, remain a common sight in rural Ghana and are generally appreciated by transport users and other stakeholders. Following our presentation of findings to an audience of national stakeholders and policy-makers, a consensus emerged to continue restricting commercial motorcycle operations in cities and on highways, but allowing them on rural roads, if combined with appropriate safety training and regulations. These findings feed into an ongoing policy debate about motorcycle taxi transport in Sub-Saharan Africa.
  • Driving performance and specific attentional domains

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Magnus Liebherr, Stephanie Antons, Stephan Schweig, Niko Maas, Dieter Schramm, Matthias Brand Converging evidence from numerous previous studies highlights the relevance of attention in driving. However, these studies mostly conclude from respective situations or use complex tests that tap into further cognitive processes. Aiming a better understanding of specific attentional domains, we investigated the relation between visual selective attention, auditory selective attention, visual divided attention, switching attentional demands, switching between attributes, switching between rules, vigilance and driving performance in a driving simulator. Furthermore, we tested three-way interaction effects with respective attentional domains, inhibition and working memory. In the present study, 123 participants completed a driving scenario as well as commonly used measures of attention (SwAD-task, Oddball-task, MCST, TMT-B, D2), inhibition (Go/NoGo-task), and working memory (visual digit-span-task). Findings indicate no correlations between the tested attentional domains and driving performance. Furthermore, we found no interaction effects with the attentional domains and the two factors of inhibition and working memory on simulator driving performance. The present findings suggest no possibility to transfer findings from specific attentional domains, as well as the used measures for inhibition, and working memory to peoples' simulator driving performance. Along with previous findings we suggest using rather context-specific tasks than basic neuropsychological measures to quantify specific attentional domains, in order to predict peoples' driving performance.
  • An interdisciplinary review to develop guidelines for modeling population
           displacement as a function of infrastructure reconstruction decisions

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Krista Rand, Cody H. Fleming Multiyear population displacement is a feature of natural disasters that have caused widespread infrastructure damage. This interdisciplinary, transportation-centric survey paper offers guidelines for civil infrastructure system (CIS) models supporting recovery managers and transportation system managers who are seeking to reduce displacement duration. Social science and transportation literature describe the linkages between infrastructure and long-term population displacement and identify key infrastructure systems needed to resolve population displacement. Resilience literature, particularly the well-known performance recovery curve, is extended to show how infrastructure interdependencies affect reconstruction timelines, and how repair of key infrastructure therefore forms a lower bound on displacement duration that can be estimated using a CIS. CIS modeling literature describes model types and interdependencies for post-disaster recovery models concerned with displacement. These high-level requirements and design specifications are summarized within a simple scorecard and used to evaluate thirteen recent quantitative, recovery-focused CIS models for potential application to disaster displacement. The most common data gaps are transportation and building systems, and a majority of models neglect jurisdictions, funding constraints, and any mention of people in model goals or outputs. We conclude by identifying urgent research questions, discussing issues of data type and resolution, and suggesting appropriate outputs for decision support.
  • An adaptive big data weather system for surface transportation

    • Abstract: Publication date: December 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 3Author(s): Amanda R. Siems-Anderson, Curtis L. Walker, Gerry Wiener, William P. Mahoney, Sue Ellen Haupt Operating modern multi-modal surface transportation systems are becoming increasingly automated and driven by decision support systems. One aspect necessary for successful, safe, reliable, and efficient operation of any transportation network is real-time and forecasted weather and pavement condition information. Providing such information requires an adaptive system capable of blending large amounts of observational and model data that arrives quickly, in disparate formats and times, and blends and optimizes their use via expert systems and machine-learning algorithms. Quality control of the data is also essential, and historical data is required to both develop expert-based empirical algorithms and train machine learning models. This paper reports on the open-source Pikalert® system that brings together weather information and real-time data from connected vehicles to provide crucial information to enhance the safety and efficiency of surface transportation systems. This robust framework can be applied to a diverse array of user community specifications and is designed to rapidly ingest more, unique data sets as they become available. Ultimately, the developmental framework of this system will provide critical environmental information necessary to promote the development, growth, refinement, and expanded adoption of automated and connected multi-modal vehicular systems globally.
  • Disaggregation of aggregate GPS-based cycling data – How to enrich
           commercial cycling data sets for detailed cycling behaviour analysis

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Stefan Huber, Sven Lißner In order to investigate cycling behaviour, planners and researchers are increasingly using disaggregate data such as GPS data. However, disaggregate data on cycling behaviour is not available for most cities. At first sight, the data collected by (sport) app providers like Strava could help fill the data gap, as they are available for most cities around the globe. Due to data privacy reasons however, this data is usually aggregated before it is sold commercially by data providers. To use the data for detailed analysis, this article presents a multi-step disaggregation approach to synthesise single routes from aggregate data sets. The approach requires aggregate origin-destination data of cycling demand as the primary input. A double-constrained routing algorithm is subsequently used to derive single bicycle routes from this data. This disaggregate route data can then be enriched with further attribute data and can thereafter be used to estimate bicycle route choice models. This article presents the approach developed as well as a proof of concept using a case study. It further illustrates how the results can estimate a route choice model for a case study area in Germany. The overall results show that the presented approach could easily be used to disaggregate available aggregate cycling data to investigate cycling behaviour.
  • Transportation policy profiles of Chinese city clusters: A mixed methods

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Joanna Moody, Shenhao Wang, Jungwoo Chun, Xuenan Ni, Jinhua Zhao Chinese cities have experienced diverse urbanization and motorization trends that present distinct challenges for municipal transportation policymaking. However, there is no systematic understanding of the unique motorization and urbanization trends of Chinese cities and how physical characteristics map to their transportation policy priorities. We adopt a mixed-method approach to address this knowledge gap. We conduct a time-series clustering of 287 Chinese cities using eight indicators of urbanization and motorization from 2001 to 2014, identifying four distinct city clusters. We compile a policy matrix of 21 policy types from 44 representative cities and conduct a qualitative comparison of transportation policies across the four city clusters. We find clear patterns among policies adopted within city clusters and differences across clusters. Wealthy megacities (Cluster 1) are leveraging their existing urban rail with multimodal integration and transit-oriented development, while more car-oriented wealthy cities (Cluster 2) are building urban rail and discounting public transport. Sprawling, medium-wealth cities (Cluster 3) are opting for electric buses and the poorest, dense cities with low mobility levels (Cluster 4) have policies focused on road-building to connect urban cores to rural areas. Transportation policies among Chinese cities are at least partially reflective of urbanization and motorization trends and policy learning needs to account for these distinct patterns in both physical conditions and policy priorities. Our mixed-method approach (involving time-series clustering and qualitative policy profiling) provides a way for government officials to identify peer cities as role models or collaborators in forming more targeted, context-specific, and visionary transportation policies.
  • Effect of social capital on the life satisfaction of paratransit drivers
           in Sri Lanka

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Tomoya Kawasaki, Shinya Hanaoka, Yuri Saito, Yapa Mahinda Bandara, Kumiko Nakamichi The three-wheeler, a Sri Lankan form of paratransit, is a popular and important mode of transport in Sri Lankan cities due to largely insufficient public transport systems. However, knowledge of the three-wheeler industry including the role of drivers' groups and the effect of these groups' social capital related factors on the driver's life satisfaction is scarcely available. Thus, the objectives of this study are to clarify the actual condition of the industry and to identify the social capital related factors that affect drivers' life satisfaction in three cities in Sri Lanka. To this end, extensive interviews were conducted and revealed that national and local governments do not control the numbers or management of three-wheeler drivers and vehicles, but they do receive rent for using public road space for parking. In order to determine the effect of social capital factors, including working conditions and societal trust levels, on three-wheeler drivers' life satisfaction, we developed an ordered logit model based on questionnaire surveys in three target cities. In addition, the differences among the cities examined regarding provincial policies for three-wheelers, the percentage of drivers who have other jobs, and relationships between drivers' societies were revealed. As a result of the analysis, we identified differences between drivers based in the three cities regarding the social capital and work-related variables that have the greatest impact on their life satisfaction. In particular, we found that drivers based in the city of Kandy emphasized general social capital variables over work conditions and salary, but the opposite was obtained for the cities of Colombo and Moratuwa.
  • The role of businesses in facilitating voluntary travel behaviour change -
           Insights from the London 2012 Olympic Games

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Adam Jones, Janet Woolley The organisers of the London 2012 Olympics faced transport congestion challenges whose resolution required travel behaviour change across an entire transport network. This study evaluates the role of Transport for London's (TfL) £30 m business-focussed Travel Demand Management (TDM) programme in achieving significant traveller behaviour change across its entire transport network. The paper argues that soft TDM measures, together with a targeted ‘hard-edge’ message, alongside travel alternatives, can achieve significant voluntary travel behaviour change (VTBC) across a whole transport network, despite such behaviour normally being habitual.Incorporating a longitudinal study comprised of pre-and post-Games qualitative interviews, office attendance data and analysis of TfL's travel survey with Ajzen's (1991) Theory of Planned Behaviour, this research highlights the importance of reliable information, freedom of choice, and faith in the effectiveness of the measures proposed, in eliciting acceptance of the TDM policy. The results also demonstrate the importance of a relevant, hard-edge message in the form of a ‘big scare’—which operates as a ‘catalyst-for-change’ (CfC), breaking habit by increasing cognitive engagement and acceptance—as well as the importance of the role of businesses in delivering significant levels of voluntary travel behavioural change. The findings contribute to the evaluation of methods for achieving actual VTBC, which could be instrumental in enacting the large-scale travel behaviour changes required to meet international environmental objective of reducing carbon resource consumption by both businesses and individuals.
  • Findings from a visibility survey in the construction industry

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Mallorie Leduc, Brandon Vance, Tammy Eger, Alison Godwin The current study documented worker ratings of visibility on common pieces of construction equipment. Participants (n = 57) were recruited from a health and safety training facility to complete a custom visibility survey. Visibility scores around the machinery were consistently ranked lower by participants who reported working around the machine, as opposed to being an operator. Discrepancies between visibility rankings reported by workers who work around machinery and operators may indicate an area of priority for safety training to improve visibility knowledge among all workers.
  • Facilitating practices for sustainable car sharing policies - An
           integrated approach utilizing user data, urban form variables and mobility

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Anu Tuominen, Antti Rehunen, Juha Peltomaa, Kirsi Mäkinen The paper contributes to two research gaps: (1) The need for knowledge on key urban form characteristics promoting the scale-up of car sharing services in a sustainable way, (2) The need for practical approaches in the dialogue between key private and public actors introducing or expanding car sharing in local contexts. These requirements are addressed through a Finnish case study in two locations. By combining car sharing use data, monitoring data on urban form and mobility patterns, and stakeholder interviews, we present a novel approach to promote sustainable car sharing. The approach widens present knowledge on the sustainability potential, role and business potential of shared mobility in future urban transport systems. It also provides a tool for cooperation among urban and transport planners and car sharing providers. Our analysis shows that well-designed car sharing services can provide a sustainable and agile opportunity for the mobility demand of urban residents. However, achieving sustainability demands requires systematic and integrated user profile, daily mobility, and urban form analysis enforced equally by the city or municipality and private service providers.
  • Evaluation of traffic management strategies for special events using probe

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Claude Villiers, Long D. Nguyen, Janusz Zalewski Special events can impose burdens to local roads. As these events are temporary and even seasonal in nature, concerned agencies need to identify cost-effective traffic management strategies to control this increased traffic. The current research empirically investigated the traffic flow, traffic volumes, and traffic management strategies for sporting events in Fort Myers, Florida. Extensive data were collected for over five consecutive years on an arterial road. These data contained traffic volumes from available loop detectors and travel time from Bluetooth sensors. Results showed that, like the experience curve effect, manual traffic control seemed to improve the traffic after the first year but leveled off thereafter. Signal retiming was effective for traffic entering games but not after games. The average travel time on a certain road segment for through traffic before the event starts was reduced by>40% after the signal retiming. Variable message signs (VMS), while appeared to help traffic management, might not considerably improve travel time before and after the events on the road investigated. Although an alternative route was introduced for through traffic, most of drivers still used the arterial road even during peak congestion. With an average penetration rate of>4%, this long-term study confirmed that the use of Bluetooth-based systems in collecting traffic probe data are still feasible in the near future. This current study contributes to the traffic management body of knowledge by empirically investigating the traffic management plans used for sporting events with objective and quantitative data in a five-year period.
  • Assessment of risky behaviours among E-bike users: A comparative study in

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Carole Rodon, Isabelle Ragot-Court In China, E2Ws were compared or equated to traditional bicycles for crash studies and regulation purposes. We compared the similarity in riding behaviours of e-bike riders, riders of traditional bicycles, e-scooter riders and riders of motorized two-wheelers (gasoline and Liquid Petroleum Gas-LPG). In Shanghai, different types of two-wheelers (N = 400) were compared on the basis of frequency of self-reported risky behaviours.Overall, the results show a continuous increase in the incidence of risky behaviours as the weight and power of vehicles increases. Based on these reported behaviours, e-bikes appear to be different from traditional bikes and similar to e-scooters and other motorized two-wheelers. E-scooters are not significantly different from other types of motorized two-wheelers.In terms of prevention and regulation, e-bikes and e-scooters could be brought closer to motorized two-wheelers in order to identify common and other targeted actions according to the type of two-wheeler.
  • Perceived risk of public transport travel during flooding events in Metro
           Manila, Philippines

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Raymund Paolo B. Abad, Alexis M. Fillone Understanding the risks associated with traveling is essential to finding solutions for strengthening transport services, especially during adverse weather conditions. The current study performed an analysis of the perceived risk of public transportation users of Metro Manila travelers during a flood event. Questionnaire data collected among transit users demonstrated that travelers generally perceive low risks (no risk to somewhat not risky) in using public transportation services during a flood event. Furthermore, bivariate analyses and linear regression models revealed that perceived risks primarily depend on the respondent's characteristics and their typical travel situation. Prior travel experience during a flood and beliefs about changes over time in the frequency of flood events also played a role but were less associated with the perceived risk of public transport use during a flood. Recommendations for authorities were derived from the analyses so that public transport users may benefit from a resilient transit system that is prepared for any flood event.
  • Incorporating systems thinking approach in a multilevel framework for
           human-centered crash analysis

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Emmanuel Kofi Adanu, Praveena Penmetsa, Dustin Wood, Steven L. Jones Variations that exist in the frequency and severities of crashes across regions may be due to differences in road user behaviors or indirectly due to differences in regional characteristics. Regional strategies towards “vision zero” road fatalities, consisting of appropriate safety policies and laws, supported with public education and backed by appropriate sanctions, have the ability to shape road user behaviors in the long term. In this paper, certain human-centered crash factors are viewed as the outcome of a hierarchical system made up of road users nested in regions, in a way that regional characteristics like policies and punitive measures influence road user behaviors. Hence, we propose a multilevel framework that captures driver characteristics and regional attributes that directly and indirectly affect crash outcomes. The concept was applied to crash data analysis for the state of Alabama, where it was found that the probability of a fatal crash involving a typical driver is 0.115. About 6.19% of the variability in the fatal crash rate involving drivers from the state is accounted for by the city and 3.84% is accounted for by the county of residence of the causal driver, leaving 89.97% of the variability to be accounted for by driver attributes or other crash contributing factors. Fatal crash rates varied significantly across the state and some crash factors were more pronounced among drivers from particular cities and counties. In view of these findings, specific countermeasures and structural adjustments may be targeted in locations with the highest proportions of risky driver behaviors.
  • Analysis of severe and non-severe traffic crashes on wet and dry highways

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Aschalew Kassu, Michael Anderson This study examined the effects of several variables associated with geometric, environmental, and drivers' demographic factors on the likelihood of occurrences of traffic crashes on two and four-lane urban and rural highways. Among the variables tested, the key factors contributing to the crash are used as input variables to Poisson and negative binomial regression models. Four separate datasets representing severe and non-severe crashes occurred on dry and wet pavement surfaces are used to develop their respective models. The results of the analysis showed that the common principal determinants influencing both severe and non-severe crashes occurred on dry and wet pavement surfaces on the selected highways are AADT (Annual Average Daily Traffic) and TADT (Truck Average Daily Traffic). The posted speed limits were found to be significant only for non-severe crashes occurred on wet pavement surfaces. The urban-rural designation of the segments was found to be a key factor for non-severe crashes occurred on dry pavement surfaces. Macrotexture and IRI (International Roughness Index) were critical determinants for non-severe dry pavement, and severe wet pavement crashes respectively.
  • Scenario-based analysis for intermodal transport in the context of service
           network design models

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Christine Tawfik, Sabine Limbourg In this paper, we discuss service network design models for consolidation-based freight transport systems. Two path-based formulations are presented for the domestic and long-corridor cases, respectively. In the context of intermodal transport as a relevant application, the modelling frameworks are applied in Belgium-related case studies, in order to draw meaningful managerial insights. Several future scenarios are experimented by analysing a number of parameters that have been identified as significant operational factors and policy levers. The results underline the costly position of rail transport and a clear economic favouring of inland waterways (IWW), potentially attributed to the high rail fixed costs. Additionally, it is suggested that intermodal transport can benefit from rail subsidies, especially during the early stages of covering the market. Even in the best-case scenario, the resulting modal shares are far from reaching the figures desired for freight transport in the EU. Thus, more powerful instruments need to be implemented to promote greener transport schemes.
  • Reducing global warming by airline contrail avoidance: A case study of
           annual benefits for the contiguous United States

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Denis Avila, Lance Sherry, Terry Thompson High thin clouds are generated by airliners when hot exhaust gases and water vapor from the jet engines mix with cold, humid air to form high thin clouds. These anthropogenic (human made) condensation trails, or “contrails,” create a green-house effect by absorbing or directing back to Earth approximately 33% of emitted outgoing longwave radiation. Although this effect is estimated to be
  • Driver brake response to sudden unintended acceleration while parking

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): John G. Gaspar, Daniel V. McGehee In the past decade, there has been a rapid increase in reports of sudden unintended acceleration (SUA). While the precipitating conditions for SUA are well known, we know little about how drivers respond in such emergencies and how particular responses might lead to crashes. The goal of this study was to examine how drivers respond to a SUA in a controlled high-fidelity driving simulator experiment that closely replicated the motion cues of real driving. Younger and older drivers encountered a SUA event that mimicked a vehicle malfunction at the end of a simulated drive while executing a parking maneuver. A hierarchical cluster analysis revealed three distinct brake response patterns: hard braking, gradual braking combined with brake pumping, and light or no braking. The critical point in these brake responses, that is, the point at which response types diverged, was about 1 s after the onset of the SUA. Furthermore, older female drivers responded with less brake force than did younger or male drivers. These results indicate that over half of drivers react to SUA with indecisive responses that could lead to crashes. These results have important implications understanding how SUA may lead to crashes. The results also highlight the potential need for advanced driver assistance systems to aid drivers in hazard situations.
  • The “I” in TRIP also stands for International

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Karl Kim
  • Autonomous, connected, electric shared vehicles (ACES) and public finance:
           An explorative analysis

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): M.W. Adler, S. Peer, T. Sinozic This paper discusses the implications of autonomous-connected-electric-shared vehicles (ACES) for public finance, which have so far been widely ignored in the literature. In OECD countries, 5–12% of federal and up to 30% of local tax revenues are currently collected from fuel and vehicle taxation. The diffusion of ACES will significantly reduce these important sources of government revenues and affect transport-related government expenditures, unless additional policies are introduced to align the new technological context with the tax revenue requirements. We argue that the realization of socioeconomic benefits of ACES depends on the implementation of tailored public finance policies, which can take advantage of the increase in data availability from the further digitalization of transportation systems. In particular, the introduction of road tolls in line with ‘user pays’ and ‘polluter pays’ principles will become more feasible for policy. Moreover, innovation in taxation schemes to fit the changing technological circumstances may alter the relative importance of levels of governance in transport policy making, likely shifting power towards local, in particular urban, governmental levels. We finally argue that, given the risk of path-dependencies and lock-in to sub-optimal public finance regimes if policies are implemented late, further research and near-term policy actions taken during the diffusion process of ACES are required.
  • Relationships between aggressive driving behaviors, demographics and

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Alan S. Hoback A survey was conducted that had eighty-nine participants rank whether the front and back end styles of vehicles looked like faces or could be interpreted to convey expressions of anger. A covariance analysis of the data was performed. Correlations were found between demographic information, whether participants saw the vehicles as faces (visual pareidolia), and their self-reported responses to aggressive driving behaviors. The strongest conclusion was that pareidolia, or seeing vehicles anthropomorphically, increased the likelihood of response to other aggressive drivers, whether it be aggressive or defensive action. The results improve the understanding of factors related to aggressive driving situations and road safety, and suggest further work to relate perception and emotional response in drivers.
  • To drive or not to drive' A qualitative comparison of car ownership
           and transport experiences in London and Singapore

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Samuel Chng, Charles Abraham, Mathew P. White, Stephen Skippon Cities are responding to their growing transportation demands in different ways. We interviewed city dwellers in two cities, Singapore and London, with highly developed transport infrastructure to understand individual transport decisions and experiences in the context of two different city cultures that support distinct transport policies. Compared to London, cars and other private transport are valued and priced beyond the reach of most in Singapore. Seventeen adults from London and sixteen from Singapore were interviewed and presented with an overview of the other city's transportation system to elicit their opinions on the differences and whether an alternate system could be applied in their city. Differences were observed in perceptions of, and beliefs concerning, private transport. In Singapore, cars served more than utilitarian purposes and were viewed as socially desirable status and success symbols. In London, car ownership and usage were viewed as a necessity due to a perceived lack of accessible, alternative transport. Both samples valued accessibility, affordability and comfort in relation to transport mode choice. There was also general acknowledgement and support for managing the car population and use in both cities, though how it should be done remains highly context-specific. Our findings suggest that public engagement and effective communication are important components when interventions and policies are introduced to better manage the car population and use in cities.
  • The challenges impeding traffic safety improvements in the Kurdistan
           Region of Iraq

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Hemin Mohammed, Dilshad Jaff, Steven Schrock Due to the stability and economic development in the Kurdistan Region of Iraq (KRI) relative to its neighbors after 2005, the density of the population and number of vehicles have increased dramatically. This situation produced certain undesirable consequences socially, administratively, legislatively, technically, and economically. An increase in the number of traffic crashes was one of the serious challenges that local authorities faced. The objective of this study is to address the challenges of traffic safety improvement in the region. Based upon existing traffic-related situations in the KRI, some fundamental and priority recommendations are proposed such as improving traffic regulations and guidelines, creating a traffic crash database, and starting traffic safety training and education. It is crucial to address the challenges of impeding traffic safety improvement in the KRI.
  • Translation software: An alternative to transit data standards

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Catherine T. Lawson, Paul Tomchik, Alex Muro, Eric Krans Data standardization is recognized in many disciplines as a critical aspect of data stewardship. Establishing and implementing data specifications increases the usefulness of data collection efforts and facilitates analysis techniques. With the advent of large quantities of machine-generated data, the use of standardized data formats feeds opportunities for visualization and advanced applications with machine-learning and Artificial Intelligence (AI). The transportation industry made substantial progress with data format specifications in the late 1990s, primarily for highway traffic. Unfortunately, establishing data standards has been an on-going challenge for the transit community. Archived Intelligent Transportation Systems (ITS) transit data (e.g., Automatic Vehicle Location (AVL), Automatic Passenger Counters (APCs), Automatic Fare Card (AFC)) still lack industry standards for data formats. Recent advancements in electronic transit scheduling (e.g., General Transit Feed Specifications (GTFS)) met a portion of this challenge with Open Data specifications. Now GTFS provides transit riders with agile information on services available at any location where the data is provided to developers of mobile device application (apps). Due to system and vendor limitations, the Metropolitan Transportation Authority (MTA), serving the New York City region, publishes its real-time subway system data in GTFS-R and its bus data in SIRI. This research develops an Application Programming Interface (API) to translate GTFS-R into SIRI to overcome the lack of standards making it possible to harmonize the subway and bus systems for the New York region. This solution offers the opportunity to develop a novel set of analytical tools, including pseudo-surveillance data for performance metrics.
  • Modeling bus passenger boarding/alighting times: A stochastic approach

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Taqwa AlHadidi, Hesham A. Rakha This paper introduces two multilinear models that compute bus passenger boarding/alighting (BA) times at bus stops using empirical data (8341 empirical observations) from King County Metro in Seattle, Washington. The first model is a classical frequentist model, while the second is a stochastic model developed using bootstrapping together with a Cholesky decomposition. Three variables are considered in the aforementioned models to estimate passenger BA times, namely; the number of alighting passengers, the number of boarding passengers, and the number of passengers on board the bus. The models show that passenger BA times increase with an increase in all three variables (i.e. positive model coefficients). The Cholesky decomposition technique was applied to bootstrapped data to capture the model coefficient correlations with the use of only nine parameters (coefficient means, variances, and correlations) while capturing the stochasticity observed in the empirical data.
  • A decision tool for policymakers to foster higher-value perishable
           agricultural exports

    • Abstract: Publication date: September 2019Source: Transportation Research Interdisciplinary Perspectives, Volume 2Author(s): Christina Wiederer, Frank Straube A well-functioning logistics environment is key to a country's opportunities for trade, growth and employment. This is particularly relevant for developing countries, where a weak logistics environment often hampers trade. While logistics services are typically provided by private actors, national governments play a key role in ensuring high logistics performance, e.g. via infrastructure investments and regulatory reform. Given limited monetary resources, identifying the most critical investments is a crucial task for developing nations.We develop a decision framework as to which trade logistics interventions to prioritize in a country wishing to facilitate higher-value exports of perishable agricultural goods. The framework includes product-specific supply chain requirements. It is based on primary and secondary data analysis and a literature review. We apply the framework to the Kyrgyz Republic and present a country-specific gap analysis, using results from semi-structured interviews and secondary data analysis. Our results include policy recommendations for measures to improve the supply chain for agricultural goods in the Kyrgyz Republic. The framework can be applied to similar countries, i.e. middle-income countries, either landlocked or located far away from large export markets, with existing agricultural production but a low share of higher value agricultural exports.
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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