Subjects -> TRANSPORTATION (Total: 214 journals)
    - AIR TRANSPORT (9 journals)
    - AUTOMOBILES (26 journals)
    - RAILROADS (10 journals)
    - ROADS AND TRAFFIC (9 journals)
    - SHIPS AND SHIPPING (43 journals)
    - TRANSPORTATION (117 journals)

TRANSPORTATION (117 journals)                     

Showing 1 - 53 of 53 Journals sorted by number of followers
Journal of Navigation     Hybrid Journal   (Followers: 203)
Accident Analysis & Prevention     Hybrid Journal   (Followers: 111)
Transportation Research Part B: Methodological     Hybrid Journal   (Followers: 38)
Transportation Research Part A: Policy and Practice     Hybrid Journal   (Followers: 38)
Urban, Planning and Transport Research     Open Access   (Followers: 33)
Transportation     Hybrid Journal   (Followers: 32)
Transportation Research Record : Journal of the Transportation Research Board     Full-text available via subscription   (Followers: 29)
Transportation Research Part C: Emerging Technologies     Hybrid Journal   (Followers: 29)
Journal of Transport and Land Use     Open Access   (Followers: 28)
Transportation Science     Full-text available via subscription   (Followers: 26)
Journal of Transport Geography     Hybrid Journal   (Followers: 22)
European Transport Research Review     Open Access   (Followers: 22)
Public Transport     Hybrid Journal   (Followers: 18)
Nonlinear Dynamics     Hybrid Journal   (Followers: 18)
International Journal of Sustainable Transportation     Hybrid Journal   (Followers: 18)
Cities in the 21st Century     Open Access   (Followers: 17)
Economics of Transportation     Partially Free   (Followers: 16)
Open Journal of Safety Science and Technology     Open Access   (Followers: 16)
Transportation Journal     Full-text available via subscription   (Followers: 16)
Transport     Open Access   (Followers: 16)
Journal of Transportation Technologies     Open Access   (Followers: 13)
IET Electrical Systems in Transportation     Open Access   (Followers: 13)
Case Studies on Transport Policy     Hybrid Journal   (Followers: 13)
International Journal of Intelligent Transportation Systems Research     Hybrid Journal   (Followers: 13)
Journal of Supply Chain Management Science (JSCMS)     Open Access   (Followers: 13)
Journal of Advanced Transportation     Hybrid Journal   (Followers: 12)
International Journal of Traffic and Transportation Engineering     Open Access   (Followers: 12)
Journal of Transport & Health     Hybrid Journal   (Followers: 12)
European Journal of Transport and Infrastructure Research (EJTIR)     Open Access   (Followers: 12)
Journal of Transport History     Hybrid Journal   (Followers: 12)
EURO Journal of Transportation and Logistics     Open Access   (Followers: 12)
Sport, Education and Society     Hybrid Journal   (Followers: 12)
Transport Reviews: A Transnational Transdisciplinary Journal     Hybrid Journal   (Followers: 11)
IET Intelligent Transport Systems     Open Access   (Followers: 11)
Modern Transportation     Open Access   (Followers: 11)
International Journal of Physical Distribution & Logistics Management     Hybrid Journal   (Followers: 11)
Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit     Hybrid Journal   (Followers: 11)
International Journal of Crashworthiness     Hybrid Journal   (Followers: 10)
Journal of Sport & Social Issues     Hybrid Journal   (Followers: 10)
Journal of Transport and Supply Chain Management     Open Access   (Followers: 9)
Travel Behaviour and Society     Full-text available via subscription   (Followers: 9)
Journal of Transportation Safety & Security     Hybrid Journal   (Followers: 9)
International Journal of Transportation Science and Technology     Open Access   (Followers: 9)
Pervasive and Mobile Computing     Hybrid Journal   (Followers: 8)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 8)
International Journal of Mobile Communications     Hybrid Journal   (Followers: 8)
Transportation Infrastructure Geotechnology     Hybrid Journal   (Followers: 8)
Transportmetrica A : Transport Science     Hybrid Journal   (Followers: 7)
Journal of Modern Transportation     Full-text available via subscription   (Followers: 7)
Journal of Waterway Port Coastal and Ocean Engineering     Full-text available via subscription   (Followers: 7)
International Journal of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 7)
IEEE Vehicular Technology Magazine     Full-text available via subscription   (Followers: 7)
Mobility in History     Full-text available via subscription   (Followers: 7)
Transportation Research Procedia     Open Access   (Followers: 6)
International Journal of Heavy Vehicle Systems     Hybrid Journal   (Followers: 6)
Journal of Mechatronics, Electrical Power, and Vehicular Technology     Open Access   (Followers: 6)
Applied Mobilities     Hybrid Journal   (Followers: 5)
World Review of Intermodal Transportation Research     Hybrid Journal   (Followers: 5)
International Journal of Applied Logistics     Full-text available via subscription   (Followers: 5)
Logistics & Sustainable Transport     Open Access   (Followers: 4)
Journal of Traffic and Transportation Engineering (English Edition)     Open Access   (Followers: 4)
Transportation Letters : The International Journal of Transportation Research     Hybrid Journal   (Followers: 4)
Transport and Telecommunication     Open Access   (Followers: 4)
Vehicular Communications     Full-text available via subscription   (Followers: 4)
IEEE Open Journal of Intelligent Transportation Systems     Open Access   (Followers: 4)
Research in Transportation Business and Management     Partially Free   (Followers: 4)
Transport Problems     Open Access   (Followers: 4)
Transactions on Transport Sciences     Open Access   (Followers: 4)
World Electric Vehicle Journal     Open Access   (Followers: 3)
Journal of Transportation and Logistics     Open Access   (Followers: 3)
Journal of Public Transportation     Open Access   (Followers: 3)
TRANSPORTES     Open Access   (Followers: 3)
Journal of Transportation Security     Hybrid Journal   (Followers: 3)
International Journal of Vehicle Systems Modelling and Testing     Hybrid Journal   (Followers: 2)
Packaging, Transport, Storage & Security of Radioactive Material     Hybrid Journal   (Followers: 2)
Sport, Ethics and Philosophy     Hybrid Journal   (Followers: 2)
Streetnotes     Open Access   (Followers: 2)
Journal of Big Data Analytics in Transportation     Hybrid Journal   (Followers: 2)
Travel Medicine and Infectious Disease     Hybrid Journal   (Followers: 2)
International Journal of Transportation Engineering     Open Access   (Followers: 2)
Transportation Research Interdisciplinary Perspectives     Open Access   (Followers: 2)
Journal of Intelligent and Connected Vehicles     Open Access   (Followers: 1)
Open Transportation Journal     Open Access   (Followers: 1)
eTransportation     Open Access   (Followers: 1)
Transportmetrica B : Transport Dynamics     Hybrid Journal   (Followers: 1)
Transportation Safety and Environment     Open Access   (Followers: 1)
Danish Journal of Transportation Research / Dansk Tidsskrift for Transportforskning     Open Access   (Followers: 1)
Asian Transport Studies     Open Access   (Followers: 1)
Transportation Engineering     Open Access   (Followers: 1)
International Journal of Ocean Systems Management     Hybrid Journal   (Followers: 1)
Decision Making : Applications in Management and Engineering     Open Access   (Followers: 1)
Transportation Geotechnics     Full-text available via subscription   (Followers: 1)
Romanian Journal of Transport Infrastructure     Open Access   (Followers: 1)
International Journal of Services Technology and Management     Hybrid Journal   (Followers: 1)
Les Dossiers du Grihl     Open Access   (Followers: 1)
Logistics     Open Access   (Followers: 1)
Synthesis Lectures on Mobile and Pervasive Computing     Full-text available via subscription   (Followers: 1)
Botswana Journal of Technology     Full-text available via subscription   (Followers: 1)
Emission Control Science and Technology     Hybrid Journal   (Followers: 1)
Recherche Transports Sécurité     Hybrid Journal   (Followers: 1)
Maritime Transport Research     Open Access  
Communications in Transportation Research     Open Access  
IET Smart Cities     Open Access  
Journal on Vehicle Routing Algorithms     Hybrid Journal  
Transportation in Developing Economies     Hybrid Journal  
Vehicles     Open Access  
Periodica Polytechnica Transportation Engineering     Open Access  
Transportation Systems and Technology     Open Access  
LOGI ? Scientific Journal on Transport and Logistics     Open Access  
Promet : Traffic &Transportation     Open Access  
IFAC-PapersOnLine     Open Access  
Revista Transporte y Territorio     Open Access  
Транспортні системи та технології перевезень     Open Access  
Geosystem Engineering     Hybrid Journal  
Logistique & Management     Hybrid Journal  
IATSS Research     Open Access  
Transport in Porous Media     Hybrid Journal  

           

Similar Journals
Journal Cover
Transportation
Journal Prestige (SJR): 1.911
Citation Impact (citeScore): 3
Number of Followers: 32  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1572-9435 - ISSN (Online) 0049-4488
Published by Springer-Verlag Homepage  [2469 journals]
  • An innovative supervised learning structure for trajectory reconstruction
           of sparse LPR data

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      Abstract: Abstract The automatic license plate recognition (LPR) system has the advantages of strong continuity, high data accuracy, and large detection samples. The detection data can be used as quasi and full sample sampling of road network vehicles. However, the system has the disadvantage of sparse geographical location, so the data is difficult to be used effectively. In order to obtain the full sample vehicle travel trajectory on an urban road network, this paper investigates the sparse trajectory recovery problem based on LPR data. A trajectory reconstruction algorithm based on the Markov decision process (MDP) in road network space is proposed. The algorithm is divided into two stages, including off-line training and on-line prediction. In the off-line training stage, the LPR data is transformed into the trajectory set represented by the link edge sequence in the road network space. The MDP model is used to describe the vehicle driving behavior, and the design rules of the link reward function in the model are discussed. An unsupervised Bayesian inverse reinforcement learning algorithm is proposed to train the historical vehicle trajectory data and learn the model parameters. In the online prediction stage, the transfer probability between links is calculated according to the trained model. The negative logarithm of the transfer probability modified by the spatio-temporal coefficient is used as the edge weight to construct a directed graph. The shortest path search is used to obtain the path with the highest probability to restore the missing path. The proposed method is implemented on a realistic urban traffic network in Ningbo, China. The comparison with the baseline algorithms indicates that the proposed method has higher accuracy, especially when the coverage rate of the LPR device is low. When the coverage rate is more than 60%, the comprehensive accuracy of the proposed algorithm is more than 85%, and reliable path estimation results can be obtained.
      PubDate: 2022-08-12
       
  • Increasing relative risk taking in a choice context with source-dependent
           travel time risks

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      Abstract: Abstract We use data on travel decision making to estimate a structural model that elicits travellers’ risk attitudes, with a focus on the mode-specific nature of risky travel time. We find notable intra-individual heterogeneity in risk attitudes when a decision maker faces two modes with distinctive risks in terms of different travel time variability shown in the choice experiment. Our empirical results show that, increasing relative risk taking, characterised by a traveller’s stronger risk-taking behaviour towards a more-risky mode with greater travel time variability, plays a statistically and behaviourally significant role in explaining mode choice behaviours. In addition to intra-individual heterogeneity, we allow the individual-specific risk attitude parameters to vary across the sampled population both randomly and systematically with an important observable variable (i.e., trip purpose). The choice dataset is best explained when the model accounts for intra- and inter-individual differences simultaneously. The highly negative correlation between two risk attitude parameters further highlights that ignoring inconsistent behaviour within a decision maker may lead to biased findings, thus misleading policy implications.
      PubDate: 2022-08-11
       
  • E-bikes in rural areas: current and potential users in the Netherlands

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      Abstract: Abstract This study considers how socio-demographic characteristics, mobility situation and attitudes explain current and potential e-bike use in rural areas. Due to longer distances between travel destinations, rural areas in most western societies are characterized by a high car dependence and low use of active modes like walking and cycling. Developing e-bike mobility in these areas can support more healthy and sustainable rural mobility. A large-scale mobility survey conducted among rural residents in the northern parts of the Netherlands provides insight in the determinants of current and potential e-bike use in rural areas. The participant characteristics show that in rural areas also, the e-bike is already used among a broad population of varied ages and backgrounds and for different purposes. Among respondents who did not own an e-bike, especially those with lower socioeconomic status and a household with children showed more willingness to use an e-bike in the future. No evidence was found for current or potential substitution of public transport use. Current e-bike users less likely use a car or regular bicycle as their primary mode of transport. Those who are willing to use an e-bike are less likely to currently use a regular bicycle as their main mode of transport. These findings suggest that the e-bike can substitute both car and bicycle use to some extent. However, bicycle users seem more reluctant towards owning or adopting an e-bike than car users, suggesting greater potential for a shift away from car travel. Furthermore, current and potential e-bike users hold more positive attitudes toward different aspects of e-bike travel than non-users. This provides impetus for future actions to further encourage e-bike use.
      PubDate: 2022-08-08
       
  • Equilibrium or imbalance' Rail Transit and Land Use Mix in Station
           Areas

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      Abstract: Abstract Although it is widely reported that rail transit has the potential to encourage higher density development, it remains unclear whether rail transit leads to more mixed urban development across station areas. This article provides rare quantitative analysis of changes in land use mix around the rail transit system in Tianjin, China through an investigation into the spatial effects of a rail transit line which cuts across both highly developed and less developed areas. By using longitudinal data over a twelve-year period (2004–2016) and by comparing the entropy-based land-use mix index, the study shows that with the operation of rail transit, land use mix has increased in formerly low-mixed station catchments, but the change is not obvious for already highly diverse areas. It also shows that a more balanced development occurs in station areas with higher land use dominance, while the leading functions are intensified in station areas with lower land use dominance. By presenting a clear picture of the spatial distribution and patterns of land use mix changes over time, this article concludes that rail transit leads to more balanced development across different station areas in the context of China’s rapid urbanization. The outcome provides a base for further exploring how the planning of rail transit stations may help tackle the differentiated development in cities.
      PubDate: 2022-08-08
       
  • The impact of online food delivery service on eating-out behavior: a case
           of Multi-Service Transport Platforms (MSTPs) in Indonesia

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      Abstract: Abstract Online food delivery services, provided under the multi-service transport platforms such as Grab and Gojek, could significantly change people’s eating-out behavior, which could also change the spatial distribution of restaurants in the long run. This study attempts to empirically identify factors affecting people’s preference on the use of online food delivery services using stated preference (SP) survey data collected with a multi-day smartphone-based travel diary survey in Jakarta, Indonesia. In the survey, we randomly chose observed eating-out trips (i.e., revealed preference (RP)) from a travel diary and asked whether the respondents would like to shift to an online food delivery service in a hypothetical situation in which the delivery cost, delivery time, food cost, and available food types vary across questions. This RP–SP combination allows us to elicit respondents’ preference under the real time–space constraints they had (e.g., he or she must start to work again from 13:00). Our empirical analysis confirms that delivery time and delivery cost are important factors affecting people’s preference. We also discuss the long-term impact of the behavioral changes on the spatial distribution of online food merchants and its policy implications.
      PubDate: 2022-08-08
       
  • Is it possible to attract private vehicle users towards public
           transport' Understanding the key role of service quality, satisfaction
           and involvement on behavioral intentions

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      Abstract: Abstract This paper contributes to the public transport literature by ascertaining the role of involvement upon the service quality-satisfaction-behavioral intentions paradigm from the point of view of private vehicle users. This is the first study that provides a comprehensive understanding of this framework based on the private vehicle users’ perspective. The added value of this research is that, by using a structural equation modeling approach, it provides a comparison of alternative models and uses data from different samples collected in five large metropolitan areas (Berlin, Lisbon, London, Madrid and Rome) for modeling validation. In addition, a SEM-MIMIC approach was applied for controlling the heterogeneity of data due to specific characteristics of the interviewee (territorial setting, place of residence, demographic and socio-economic characteristics and travel related variables). The findings show that involvement is a full mediator between satisfaction and behavioral intentions, and that satisfaction is a full mediator between service quality and involvement. Furthermore, the SEM-MIMIC results revealed that the four latent factors investigated (service quality, satisfaction, involvement and behavioral intentions) dealt with highly heterogenous data. However, the most important finding is that private vehicle users’ involvement is the factor that contributes most to their behavioral intentions towards public transport. Hence, public transport managers might benefit from these outcomes when establishing detailed policies and specific guidelines for public transport systems to engage private vehicle users in a higher degree of usage of public transport services.
      PubDate: 2022-08-08
       
  • Dissuasive effect of low emission zones on traffic: the case of Madrid
           Central

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      Abstract: Abstract Ambitious goals to combat pollution should be supported in policies that discourage the use of private cars, notably old and more polluting vehicles. Price signals, such as a congestion tax, and traffic restrictions, such as low-emission zones (LEZ), are widely used tools among European cities to limit car use. In this paper, we look at the dissuasive effect of the implementation of the Madrid Central LEZ and analyze how traffic intensity has been affected in both the restricted area and in other zones of the city. Although the ultimate policy goal of LEZ is to reduce pollution, the instrument considered is traffic limitations, so it is important to know whether or not traffic intensity has been affected by traffic restrictions. Despite its limited extension and the adoption of long transitional periods, the LEZ of Madrid has been seriously questioned from its inception. The results show that traffic intensity has been reduced in the Madrid Central zone but has unfortunately increased in bordering areas. Previous studies on the effects of Madrid Central have not taken into account this potential substitution effect. The future design of a mobility policy in the metropolitan area of Madrid should address this undesirable outcome.
      PubDate: 2022-08-04
       
  • Socioeconomic differences in effect size: predicting commuting mode choice
           of migrants and locals using a light gradient boosting approach

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      Abstract: Abstract Hundreds of millions of internal migrants are present in cities in the developing world. Accurately predicting their commuting mode choice and clarifying the effect size of the influencing factors have become increasingly indispensable for formulating and executing socially inclusive transportation plans and policies. Yet, scholarship on internal migrants’ travel mode choice is still scarce, particularly in the context of developing country. This study attempts to partly fill this gap. Using empirical data from Xiamen, China, it applies the Light Gradient Boosting (LightGBM) approach, a high-efficiency and high-performance machine learning framework, to predict the commuting mode choice of both the internal migrants and locals. The results show that (1) The built environment has larger impacts on locals’ mode choice than on migrants’; (2) For both the migrants and locals, the relative importance of the built environment in predicting commuting mode choice exceeds that of socio-demographics and trip characteristics; (3) Distance to the closest commercial center is the most important factor influencing commuting mode choice of both groups, and bus stop density also contributes a great deal; hence, regional accessibility and transit infrastructure can be given higher priority in intervening the commuting behaviors of migrants and locals. (4) The LightGBM models yield rather high prediction accuracy; their results are further compared with those of conventional discrete choice models and are found to be generally consistent with the latter. Those findings can help inform decision-makers about nuanced policies concerning meeting locals’ and migrants’ travel demands.
      PubDate: 2022-08-03
       
  • The value of travel time: a revealed preferences approach using exogenous
           variation in travel costs and automatic traffic count data

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      Abstract: Abstract This paper suggests an alternative approach to estimate the value of travel time (VTT) savings, using a case study with exogenous variation in travel costs and data from automatic traffic counts (ATC). With this revealed preferences approach, we address a possible bias of VTT estimates because of self-selection. Compared to the VTT estimates used in transport appraisals, the results produce substantially higher estimates of VTT. Unfortunately, our analysis does allow us to distinguish the self-selection bias from other possible sources of bias. The cost of using ATC data is that there is no direct information regarding the motorists, and the analysis must be done using aggregated data at an hourly interval. Still, this alternative approach may complement the results with more detailed data.
      PubDate: 2022-08-03
       
  • Predictability of short-term passengers’ origin and destination
           demands in urban rail transit

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      Abstract: Abstract Accurate prediction of short-term passengers’ origin and destination (OD) demands is key to efficient operation and management of urban rail transit (URT), especially in the case of congestion or an incident. However, short-term OD demand forecasting is more challenging than passenger flow forecasting, due to its uncertainty and high dimensions. So far, most OD prediction models capture the spatio-temporal dependencies of OD flow by means of training models on historical data, but what characteristics and laws influence the performance of OD prediction are still unknown. In this paper, we propose temporal Pearson correlation coefficients and approximate entropy, as well as spatial correlations, as indicators to reflect the inherent time–space correlations and complexity of the OD flow. Then, by analyzing automatic fare collection data of the Beijing and Shanghai URT system, this paper deeply discusses the relationships between the spatio-temporal correlations and complexity of the OD flow and the predictive performances of different models with regard to different intervals. Finally, this paper proposes the predictable problem of travel demands and points out that the spatial correlations of the OD matrix are more important than the temporal correlations and complexity in the short-term prediction of travel demands. In particular, the number of principal components of the OD flow can be a key indicator to measure the forecasting performance of a model. A reasonable interval is very important for short-term OD forecasting, and in the Beijing URT system, 30 min is a preferable choice for workdays and 50 min for weekends. All these findings are beneficial to guide users to build a suitable model or improve the existing model to obtain better prediction performances.
      PubDate: 2022-08-01
       
  • Remembering David Hartgen and Martin Wachs

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      PubDate: 2022-08-01
       
  • Vehicle scheduling for on-demand vehicle fleets in macroscopic travel
           demand models

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      Abstract: Abstract The planning of on-demand services requires the formation of vehicle schedules consisting of service trips and empty trips. This paper presents an algorithm for building vehicle schedules that uses time-dependent demand matrices (= service trips) as input and determines time-dependent empty trip matrices and the number of required vehicles as a result. The presented approach is intended for long-term, strategic transport planning. For this purpose, it provides planners with an estimate of vehicle fleet size and distance travelled by on-demand services. The algorithm can be applied to integer and non-integer demand matrices and is therefore particularly suitable for macroscopic travel demand models. Two case studies illustrate potential applications of the algorithm and feature that on-demand services can be considered in macroscopic travel demand models.
      PubDate: 2022-08-01
       
  • Modeling the α-max capacity of transportation networks: a single-level
           mathematical programming formulation

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      Abstract: Abstract Network capacity, defined as the largest sum of origin–destination (O–D) flows that can be accommodated by the network based on link performance function and traffic equilibrium assignment, is a critical indicator of network-wide performance assessment in transportation planning and management. The typical modeling rationale of estimating network capacity is to formulate it as a mathematical programming (MP), and there are two main approaches: single-level MP formulation and bi-level programming (BLP) formulation. Although single-level MP is readily solvable, it treats the transportation network as a physical network without considering level of service (LOS). Albeit BLP explicitly models the capacity and link LOS, solving BLP in large-scale networks is challenging due to its non-convexity. Moreover, the inconsideration of trip LOS makes the existing models difficult to differentiate network capacity under various traffic states and to capture the impact of emerging trip-oriented technologies. Therefore, this paper proposes the α-max capacity model to estimate the maximum network capacity under trip or O–D LOS requirement α. The proposed model improves the existing models on three aspects: (a) it considers trip LOS, which can flexibly estimate the network capacity ranging from zero to the physical capacity including reserve, practical and ultimate capacities; (b) trip LOS can intuitively reflect users’ maximum acceptable O–D travel time or planners’ requirement of O–D travel time; and (c) it is a convex and tractable single-level MP. For practical use, we develop a modified gradient projection solution algorithm with soft constraint technique, and provide methods to obtain discrete trip LOS and network capacity under representative traffic states. Numerical examples are presented to demonstrate the features of the proposed model as well as the solution algorithm.
      PubDate: 2022-08-01
       
  • Inertia effects of past behavior in commuting modal shift behavior:
           interactions, variations and implications for demand estimation

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      Abstract: Abstract This paper focuses on empirically investigating the inertia effects of past behavior in commuting modal shift behavior and contributes to the current state of the art by three aspects. Firstly, this study introduces and tests the potential influences of the inertia effects of past behavior on the traveler’s preferences regarding level-of-service (LOS) variables, besides the impacts of inertia effects on the preference for the frequently used transport mode in the past. Secondly, the mode-specific inertia effects are investigated to distinguish the differences in the inertia effects for different transport modes based on posterior individual-specific parameter estimations. Thirdly, the factors contributing to the heterogeneity of inertia effects including demographics and travel contexts, are quantitatively examined. A joint random parameter logit model using a revealed and stated preference survey regarding commuting behavior is employed to unravel the three aspects. The results reveal significant interactions of inertia terms with LOS variables indicating the influences of past behavior on travelers’ evaluations on attributes of their previous choices. The mean values and variances of inertia effects for different transport modes are significantly and substantially distinct. For instance, the inertia effects of frequently using car are substantially positive representing strong stickiness to the car, while the inertia effects of frequently using the metro have large variances among travelers and mostly appear as dispositions to change. Besides, the effects of personal characteristics and travel contexts on the magnitude of the inertia effects of different transport modes are identified as well. A demand estimation analysis is utilized to investigate the influences of three aspects on predicting travel demands in various contexts. Incorporating the interactions and mode-specific inertia effects can remarkably improve the model performance. The demand estimation will be biased if they are neglected.
      PubDate: 2022-08-01
       
  • Travellers’ perceptions of travel time reliability in the presence
           of rare events

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      Abstract: Abstract Travellers account for variability in transport system performance when they make choices about routes, modes and destinations. Modellers try to quantify travel time reliability through various dispersion measures, most commonly the standard deviation of travel time. However, standard deviation is only one attribute of the nuanced travel time distribution. This paper considers whether standard deviation is sufficient to describe the travellers’ understanding and value of travel time reliability and how we might include other aspects of variability such as the frequency of exceeding a lateness threshold or the likelihood of rare events. Car drivers in New South Wales, Australia, were asked to reconstruct the distribution of their commuting time and identify a lateness threshold. Further, we asked them about their preferences in a series of stated choice experiments using three representations of travel time reliability pivoted around their regular commute. The results show reliability ratios consistent with those in the literature for all three presentations. Moreover, the standard error of the estimated coefficient on the risk of rare events indicates that standard deviation alone may not sufficiently capture travellers’ preferences towards travel time reliability.
      PubDate: 2022-08-01
       
  • Do frequent satisfying trips by public transport impact its intended use
           in later life'

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      Abstract: Abstract Previous studies have indicated that factors such as the built environment, attitudes and past behaviour can influence travel behaviour. However, the possible effect of travel satisfaction on travel mode choice remains underexplored, despite many studies focusing on travel satisfaction over the past years. It is likely that individuals experiencing satisfying trips with a certain travel mode will use this mode (more) frequently for future trips. In this study—using data from 984 students from Laval University, Canada—we analyse how satisfaction with public transport and the frequency of public transport use affect the intention to use public transport in later life stages. Our results indicate that public transport frequency, public transport satisfaction and the interaction between these two factors (i.e., the frequency of (dis)satisfying public transport trips) significantly affect people’s intentions to use public transport in later life, although variations in effect sizes exist between different life stages. Making public transport more pleasant and increasing ridership of children and young adults (e.g., by giving them free public transport passes) may consequently result in a higher public transport frequency in later life stages. We argue that travel satisfaction can play an important role in the formation of habitual mode use, and that satisfying trips (if undertaken frequently) are likely to be repeated in the future.
      PubDate: 2022-08-01
       
  • Reassessing the commuting penalty for immigrants: new evidence from Spain

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      Abstract: Abstract This article examines the differences in commuting length between native and immigrant employees in Spain, a relevant issue since immigrants' longer commuting times may, among other factors, reflect an imperfect spatial matching of their labour supply and demand with negative implications for their relative labour outcomes and their individual well-being. The research differentiates immigrants according to their origin and is based on a rich, nationally representative database. A novel contribution of the research is the use of decomposition econometric techniques that allow quantifying the joint and individual influence of a wide range of explanatory factors. The evidence obtained shows that, although a relevant part of the explanation of the greater commuting observed for immigrants is related to observed elements such as a different use of modes of transport, they make overall significantly longer journeys when comparing with observationally similar natives. This commuting penalty occurs yet only in the case of immigrants from emerging countries as it does not exist for those from advanced economies. Although the penalty is overall rather similar along several sociodemographic and occupational lines, it is much more pronounced for individuals living in large municipalities, which implies that previous analyses focusing on specific densely populated territories could not be nationally representative. To conclude, we offer additional novel evidence about the potential explanations of the commuting penalty of immigrants showing that it does not seem to derive from a hypothetically greater tolerance to commuting.
      PubDate: 2022-08-01
       
  • The value of travel time savings in freight transport: a meta-analysis

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      Abstract: Abstract The value of freight travel time savings (VFTTS) is a monetary value that is considered an important input into cost–benefit analysis and traffic forecasting. The VFTTS is defined as the marginal rate of substitution between travel time and cost and may therefore differ across firms, time and countries. The paper aims to explain variations in the VFTTS by using the meta-analysis method. The analysis covers 106 monetary valuations extracted from 56 studies conducted from 1988 to 2018 in countries across the globe. The meta-analysis method determines the factors that have an impact on these VFTTS variations. The paper briefly introduces the VFTTS concept and describes the adopted meta-analysis methodology, wherein different meta-models are used in VFTTS estimations. The results highlight the necessity of including multiple explanatory variables to ensure adequate explanation of the VFTTS variations. The findings also show that GDP per capita, transport mode and type of survey respondent are statistically significant variables. The paper sheds some light on the variations, thereby advancing the understanding of each factor’s effects on the VFTTS. Furthermore, meta-model outcomes are used to generate new values of travel time savings for different transport modes in freight transport, for several countries. These implied VFTTS can be used as benchmarks to assess existing evidence or provide new evidence to countries where no such values exist.
      PubDate: 2022-08-01
       
  • Households with constrained off-street parking drive fewer miles

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      Abstract: Abstract Parking supply is one of the most neglected elements of the built environment in travel behavior research, despite evidence linking parking with vehicle use. As transportation impacts of new development are increasingly measured by vehicle miles traveled (VMT), explicitly connecting parking characteristics with vehicle travel is necessary to better inform transportation and land use policy. In this paper, we begin to address this research gap and explore the relationship between constrained parking and household VMT. Utilizing the 2017 National Household Travel Survey (NHTS) California add-on sample, we estimate residential parking constraint for households in Los Angeles County. Then, we develop a two-level model framework. Level 1 (Cost) models estimate travel costs, represented by vehicle ownership as a function of parking constraints, the built environment, and demographics. Level 2 (Demand) models regress household-level total and homebased-work VMT on predicted vehicle ownership, controlling for temporal and environmental characteristics. To further explore the relationship between parking and VMT by place type, we applied Level 1 and Level 2 models to develop a suite of scenarios for typical households in Los Angeles County. Our findings support the hypothesis that the built environment (including parking) influences VMT through travel costs (vehicle ownership). Results from scenarios analysis reveal constrained on-site residential parking (< 1 parking space per dwelling unit), accounts for an approximate 10–23 percentage-point decrease in VMT within each place type. Finally, implications for practice and future research are presented.
      PubDate: 2022-07-29
       
  • Framework for designing sample travel surveys for transport demand
           modelling in cities: some comments

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      PubDate: 2022-07-11
       
 
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