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       (Followers: 122) Analytic Methods in Accident Research       (Followers: 9) Applied Mobilities       (Followers: 3) Archives of Transport       (Followers: 18) Asian Transport Studies       (Followers: 1) Botswana Journal of Technology       (Followers: 1) Case Studies on Transport Policy       (Followers: 16) Cities in the 21st Century       (Followers: 16) Danish Journal of Transportation Research / Dansk Tidsskrift for Transportforskning       (Followers: 3) Decision Making : Applications in Management and Engineering       (Followers: 2) Economics of Transportation       (Followers: 14) Emission Control Science and Technology       (Followers: 2) eTransportation       (Followers: 2) EURO Journal of Transportation and Logistics       (Followers: 15) European Transport Research Review       (Followers: 24) Geosystem Engineering       (Followers: 2) IATSS Research IEEE Open Journal of Intelligent Transportation Systems       (Followers: 7) IEEE Vehicular Technology Magazine       (Followers: 7) IET Electrical Systems in Transportation       (Followers: 11) IET Intelligent Transport Systems       (Followers: 12) IET Smart Cities       (Followers: 1) IFAC-PapersOnLine       (Followers: 1) International Journal of Applied Logistics       (Followers: 11) International Journal of Crashworthiness       (Followers: 12) International Journal of e-Navigation and Maritime Economy       (Followers: 6) International Journal of Electric and Hybrid Vehicles       (Followers: 11) International Journal of Electronic Transport       (Followers: 9) International Journal of Heavy Vehicle Systems       (Followers: 7) International Journal of Intelligent Transportation Systems Research       (Followers: 16) International Journal of Mobile Communications       (Followers: 9) International Journal of Ocean Systems Management       (Followers: 3) International Journal of Physical Distribution & Logistics Management       (Followers: 12) International Journal of Services Technology and Management       (Followers: 1) International Journal of Sustainable Transportation       (Followers: 19) International Journal of Traffic and Transportation Engineering       (Followers: 19) International Journal of Transportation Engineering       (Followers: 2) International Journal of Transportation Science and Technology       (Followers: 12) International Journal of Vehicle Systems Modelling and Testing       (Followers: 3) Journal of Advanced Transportation       (Followers: 16) Journal of Big Data Analytics in Transportation       (Followers: 2) Journal of Intelligent and Connected Vehicles       (Followers: 2) Journal of KONES Journal of Mechatronics, Electrical Power, and Vehicular Technology       (Followers: 6) Journal of Modern Transportation       (Followers: 9) Journal of Navigation       (Followers: 280) Journal of Sport & Social Issues       (Followers: 12) Journal of Sustainable Mobility       (Followers: 3) Journal of Traffic and Transportation Engineering (English Edition)       (Followers: 5) Journal of Transport & Health       (Followers: 12) Journal of Transport and Land Use       (Followers: 26) Journal of Transport and Supply Chain Management       (Followers: 16) Journal of Transport Geography       (Followers: 28) Journal of Transport History       (Followers: 13) Journal of Transportation Safety & Security       (Followers: 10) Journal of Transportation Security       (Followers: 2) Journal of Transportation Systems Engineering and Information Technology       (Followers: 12) Journal of Transportation Technologies       (Followers: 15) Journal of Waterway Port Coastal and Ocean Engineering       (Followers: 8) Journal on Vehicle Routing Algorithms Les Dossiers du Grihl       (Followers: 1) LOGI ? Scientific Journal on Transport and Logistics       (Followers: 1) Logistics       (Followers: 3) Logistics & Sustainable Transport       (Followers: 6) Logistique & Management Mobility in History       (Followers: 5) Modern Transportation       (Followers: 12) Nonlinear Dynamics       (Followers: 20) Open Journal of Safety Science and Technology       (Followers: 17) Open Transportation Journal       (Followers: 1) Packaging, Transport, Storage & Security of Radioactive Material       (Followers: 4) Periodica Polytechnica Transportation Engineering Pervasive and Mobile Computing       (Followers: 8) Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit       (Followers: 15) Promet : Traffic &Transportation Public Transport       (Followers: 20) Recherche Transports Sécurité       (Followers: 1) Research in Transportation Business and Management       (Followers: 8) Revista Transporte y Territorio       (Followers: 1) Revue Marocaine de Management, Logistique et Transport Romanian Journal of Transport Infrastructure       (Followers: 1) SourceOCDE Transports       (Followers: 2) Sport, Education and Society       (Followers: 13) Sport, Ethics and Philosophy       (Followers: 3) Streetnotes       (Followers: 1) Synthesis Lectures on Mobile and Pervasive Computing       (Followers: 1) Tire Science and Technology       (Followers: 3) Transactions on Transport Sciences       (Followers: 7) Transport       (Followers: 17) Transport and Telecommunication       (Followers: 5) Transport in Porous Media       (Followers: 2) Transport Problems       (Followers: 5) Transport Reviews: A Transnational Transdisciplinary Journal       (Followers: 10) Transport technic and technology       (Followers: 1) Transportation       (Followers: 34) Transportation Engineering       (Followers: 2) Transportation Geotechnics       (Followers: 1) Transportation in Developing Economies Transportation Infrastructure Geotechnology       (Followers: 8) Transportation Journal       (Followers: 17) Transportation Letters : The International Journal of Transportation Research       (Followers: 6) Transportation Research Interdisciplinary Perspectives       (Followers: 3) Transportation Research Part A: Policy and Practice       (Followers: 41) Transportation Research Part B: Methodological       (Followers: 39) Transportation Research Part C: Emerging Technologies       (Followers: 31) Transportation Research Procedia       (Followers: 7) Transportation Research Record : Journal of the Transportation Research Board       (Followers: 37) Transportation Safety and Environment       (Followers: 2) Transportation Science       (Followers: 26) Transportation Systems and Technology TRANSPORTES       (Followers: 6) Transportmetrica A : Transport Science       (Followers: 9) Transportmetrica B : Transport Dynamics       (Followers: 1) Transportrecht       (Followers: 1) Travel Behaviour and Society       (Followers: 12) Travel Medicine and Infectious Disease       (Followers: 4) Urban Development Issues       (Followers: 3) Urban, Planning and Transport Research       (Followers: 33) Vehicles Vehicular Communications       (Followers: 4) World Electric Vehicle Journal World Review of Intermodal Transportation Research       (Followers: 6) Транспортні системи та технології перевезень

Similar Journals
 TransportationJournal Prestige (SJR): 1.911 Citation Impact (citeScore): 3Number of Followers: 34      Hybrid journal (It can contain Open Access articles) ISSN (Print) 1572-9435 - ISSN (Online) 0049-4488 Published by Springer-Verlag  [2656 journals]
• Towards an enriched framework of service evaluation for pedestrian and

• Abstract: More and more cities worldwide are striving for sustainability and livability. Measuring the service or performance of local-scale spaces for pedestrians and bicyclists to better understand how to provide “walkable” and “bikeable” environments is key in this endeavor to enhance active transportation. These pedestrian and bicycle service or performance indicators, such as Level of Traffic Stress or Level of Service, relate measurable characteristics with a perceived proxy of the performance or service, such as comfort, satisfaction, or quality of service (QoS). The purpose of this study is to propose and validate a framework that integrates user-oriented inputs to the existing traditional supply-oriented variables to explain the QoS in segment roadways in urban environments for active modes. The conceptual framework underlying this study considers the contribution of individual perceptions, in addition to the traditionally considered operational and geometry variables, to explain the perceived QoS of pedestrian and bicyclist infrastructure. The framework is tested via two separate and independent surveys for pedestrians and bicyclists. Evidence determined the relative importance of these supply-oriented and user-oriented factors to explain the QoS. The superior explanatory power of the perception variables and in terms of the variables that explain the individuals’ perceived QoS justify the framework for both pedestrians and bicyclists.
PubDate: 2021-05-09

• Sentiment analysis of popular-music references to automobiles, 1950s to
2010s
• Abstract: In recent years, there has been a scholarly debate regarding the decrease in automobile-related mobility indicators (car ownership, driving license holding, VMT, etc.). Broadly speaking, two theories have been put forward to explain this trend: (1) economic factors whose impacts are well-understood in principle, but whose occurrence among young adults as a demographic sub-group had been overlooked, and (2) less well-understood shifts in cultural mores, values and sentiment towards the automobile. This second theory is devilishly difficult to study, due primarily to limitations in standard data resources such as the National Household Travel Survey and international peer datasets. In this study we first compiled a database of lyrics to popular music songs from 1956 to 2015 (defined by inclusion in the annual “top 40”), and subsequently identified references to automobiles within this corpus. We then evaluated whether there is support for theory #2 above within popular music, by looking at changes from the 1950s to the 2010s. We demonstrate that the frequency of references to automobility tended for many years to increase over time, however there has more recently been a decline after the late 2000s (decade). In terms of the sentiment of popular music lyrics that reference automobiles, our results are mixed as to whether the references are becoming increasingly positive or negative (machine analysis suggests increasing negativity, while human analysis did not find a significant association), however a consistent observation is that sentiment of automobile references have over time become more positive relative to sentiment of song lyrics overall. We also show that sentiment towards automobile references differs systematically by genre, e.g. automobile references within ‘Rock’ lyrics are in general more negative than similar references to cars in other music genres). The data generated on this project have been archived and made available open access for use by future researchers; details are in the full paper.
PubDate: 2021-05-02

• Exploring the correlation between ride-hailing and multimodal transit
ridership in toronto
• Abstract: Ride-hailing (RH) services have been growing rapidly and gaining popularity worldwide. However, many transit agencies are experiencing ridership stagnation or even decline. Understanding the correlation between RH trips and transit ridership has become an urgently important matter for transit agencies. This study aimed to explore the relationship between RH and public transit ridership and provide a starting point for future studies. This study benefitted from having access to detailed data on trip-level RH trips, transit supply and transit ridership in Toronto for three years (2016–2018). With this dataset, the study utilized random-effects panel data models and log–log regression models to estimate the correlation of RH pickup/drop-off counts with subway station and surface transit route (buses and streetcars) ridership within transit catchment areas, broken down into five different periods of a non-summer weekday. The results show that RH services generally have a positive association with subway station ridership while negatively correlating with surface transit route ridership. The positive relationship between RH and subway station ridership is the strongest during the mid-day and early evening. In contrast, the negative relationship between surface transit routes and RH ridership is the highest during peak commuting hours. Additionally, RH trip volume is more positively related to ridership at terminal/transfer subway stations in Toronto’s city centre while more negatively associated with routes with relatively poor services (e.g., low on-time performance, low vehicle running speed and low frequency) in the city centre where traffic congestion can be severe. According to the above findings, the degree of the relationship between RH and public transit demand tends to be mixed, varying by transit mode, time of day and transit level-of-service. The gained knowledge about RH and transit can provide insights for transit agencies to improve transit services, which are discussed in this paper.
PubDate: 2021-04-24

• Social distancing in public transport: mobilising new technologies for
demand management under the Covid-19 crisis
• Abstract: Dense urban areas are especially hardly hit by the Covid-19 crisis due to the limited availability of public transport, one of the most efficient means of mass mobility. In light of the Covid-19 pandemic, public transport operators are experiencing steep declines in demand and fare revenues due to the perceived risk of infection within vehicles and other facilities. The purpose of this paper is to explore the possibilities of implementing social distancing in public transport in line with epidemiological advice. Social distancing requires effective demand management to keep vehicle occupancy rates under a predefined threshold, both spatially and temporally. We review the literature of five demand management methods enabled by new information and ticketing technologies: (i) inflow control with queueing, (ii) time and space dependent pricing, (iii) capacity reservation with advance booking, (iv) slot auctioning, and (v) tradeable travel permit schemes. Thus the paper collects the relevant literature into a single point of reference, and provides interpretation from the viewpoint of practical applicability during and after the pandemic.
PubDate: 2021-04-22

• Dynamic pricing of free-floating carsharing networks with sensitivity to
travellers’ attitudes towards risk
• Abstract: Free-floating carsharing (FFCS) systems are characterised by volatile fleet distribution as well as customers’ heterogeneous price sensitivity and spatiotemporal flexibility. There is thus an opportunity for operators to employ dynamic pricing to manage various aspects of fleet allocation: which customer is provided which vehicle, at what time and price, and the agreed pick-up and drop-off location. While there are emerging examples of dynamic pricing in FFCS, there is as yet no general framework for the interaction of consumer and operator behaviours in this context, most particularly consumer response to the inherent risks and uncertainties in the journey characteristics noted above. In this study, we propose a choice-based framework for modelling the supply/demand interaction, drawing on behavioural models of decision-making in risky choice contexts and empirical stated-choice data of user preferences in a dynamically priced FFCS market. In addition to the ‘spot market’ mechanism of dynamic pricing, the proposed framework is capable of evaluating operator strategies of allowing (at an agreed price) customers to make guaranteed advance reservations. We demonstrate that this approach allows the system operator to set an optimal pricing strategy regardless of whether user risk preferences are risk-seeking or risk-averse. We also demonstrate the applicability of the proposed framework when the operator seeks to maximise revenue (as with a private operator) vs social welfare (as with a public operator). In the case study which employs empirical user preferences, we show that users’ risk preferences have a relatively small impact on revenue, however the impacts are much larger if there is a mismatch between users’ actual risk preferences and the system operator’s assumptions regarding users’ risk preferences.
PubDate: 2021-04-15

• The demand impacts of train punctuality in great britain: systematic
review, meta-analysis and some new econometric insights
• Abstract: This paper updates and extends the systematic review and meta-analysis of Wardman and Batley (Transportation 41:1041–1069, 2014), which hitherto was the most comprehensive study of the impacts of punctuality on passenger rail demand in the literature. Whereas the 2014 paper covered 51 elasticities from 6 studies in Great Britain published between 2003 and 2011, this updated paper adds 11 subsequent British studies yielding a further 201 observations. The meta-model recovers a range of significant effects, relating to whether the elasticity was short versus long run, flow type and distance, season versus nonseason tickets, the relevant measure of lateness, and whether the purpose of the study was specifically the estimation of late time elasticities. Allowance was also made for study quality-related issues. The data indicated that, despite dynamic models being commonplace, there is some uncertainty as to how long the long run is. Alongside the meta-model, the paper also reports new econometric evidence that addresses some gaps in existing evidence and knowledge, especially in relation to functional form and non-linearity of effects. Findings from both strands of analysis would seem to suggest that rail industry guidance has tended to overstate the demand impacts of punctuality.
PubDate: 2021-04-05

• Trip chain complexity: a comparison among latent classes of daily mobility
patterns
• Abstract: This paper studies the relationship between trip chain complexity and daily travel behaviour of travellers. While trip chain complexity is conventionally investigated between travel modes, our scope is the more aggregated level of a person’s activity-travel pattern. Using data from the Netherlands Mobility Panel, a latent class cluster analysis was performed to group people with similar mode choice behaviour in distinct mobility pattern classes. All trip chains were assigned to both a travel mode and the mobility pattern class of the traveller. Subsequently, differences in trip chain complexity distributions were analysed between travel modes and between mobility pattern classes. Results indicate considerable differences between travel modes, particularly between multimodal and unimodal trip chains, but also between the unimodal travel modes car, bicycle, walking and public transport trip chains. No substantial differences in trip chain complexity were found between mobility pattern classes. Independently of the included travel modes, the distributions of trip chain complexity degrees were similar across mobility pattern classes. This means that personal circumstances such as the number of working hours or household members are not systematically translated into specific mobility patterns.
PubDate: 2021-04-01

• Using multiple hybrid spatial design network analysis to predict
longitudinal effect of a major city centre redevelopment on pedestrian
flows
• Abstract: Predicting how changes to the urban environment layout will affect the spatial distribution of pedestrian flows is important for environmental, social and economic sustainability. We present longitudinal evaluation of a model of the effect of urban environmental layout change in a city centre (Cardiff 2007–2010), on pedestrian flows. Our model can be classed as regression based direct demand using Multiple Hybrid Spatial Design Network Analysis (MH-sDNA) assignment, which bridges the gap between direct demand models, facility-based activity estimation and spatial network analysis (which can also be conceived as a pedestrian route assignment based direct demand model). Multiple theoretical flows are computed based on retail floor area: everywhere to shops, shop to shop, railway stations to shops and parking to shops. Route assignment, in contrast to the usual approach of shortest path only, is based on a hybrid of shortest path and least directional change (most direct) with a degree of randomization. The calibration process determines a suitable balance of theoretical flows to best match observed pedestrian flows, using generalized cross-validation to prevent overfit. Validation shows that the model successfully predicts the effect of layout change on flows of up to approx. 8000 pedestrians per hour based on counts spanning a 1 km2 city centre, calibrated on 2007 data and validated to 2010 and 2011. This is the first time, to our knowledge, that a pedestrian flow model with assignment has been evaluated for its ability to forecast the effect of urban layout changes over time.
PubDate: 2021-04-01

• Shopping trip mode choice of older adults: an application of activity
space and hybrid choice models in understanding the effects of built
environment and personal goals
• Abstract: Rapid growth of the older population worldwide, coupled with their overreliance on automobile and its negative consequences for the environment and for their wellbeing, has encouraged research on travel behavior of this age group. This study contributes to the literature by providing an integrated analysis of the effects of sociodemographic, built environmental, psycho-social, trip, and activity space attributes on shopping trip mode choice of older adults in Helsinki Metropolitan Area. Data was collected using an online map-based survey. Two person-based activity space models were developed, in addition to the commonly used 500-m buffer, to measure activity space and built environmental attributes. Integrated Choice and Latent Variable (ICLV) models were utilized to explore modal choice. Although the use of activity space models did not significantly increase the fit of ICLV models, it provided different information. Walkability index showed a positive significant effect on walking trips in individualized residential exposure model. A positive effect on transit use or biking was found in individual home range and 500-m buffer. The shape and dispersion of activity spaces affected mode choice as well. Green space influenced the goal of being physically active which in turn affected mode choice. Three personal goals of being physically active, having cultural and social affairs, and caring for others influenced mode choice. Results indicate the priority of the use of activity space and hybrid choice models in understanding travel behavior. Findings of this study can guide policies aiming to increase the use of more sustainable modes among this age group.
PubDate: 2021-04-01

• Development of alternative stochastic frontier models for estimating
time-space prism vertices
• Abstract: This paper develops alternative stochastic frontier models (ASFM) for estimating time-space prism vertices with different distributional assumptions for the inefficiency term that takes a non-negative value. The traditional stochastic frontier model (SFM) assumes that the inefficiency term follows a half-normal or exponential distribution. Under those assumptions, most travelers’ home departure/arrival time will be close to prism vertices, which is not necessarily consistent with actual travel behaviors. To avoid this potential problem, the ASFM adopt alternative distributions for the inefficiency term whose density values can decrease monotonously or vary non-monotonously. Quasi-Monte Carlo simulation method is employed to estimate the ASFM without closed-form likelihood expressions. Simulation experiment results show that SFM needs a substantially greater number of Halton draws for consistent estimators than a typical mixed logit model does. The ASFM are estimated based on the travel data of 1454 Shanghai commuters and 2964 Houston commuters. It is found that models with inefficiency term following a half-normal distribution tend to underestimate the origin vertex of morning prism and overestimate the terminal vertex of evening prism over 50 and 30 min for Shanghai and Houston samples, respectively. The empirical results show the importance of choosing an appropriate distributional assumption for the inefficiency term in the SFM for better understanding the relation between individuals’ departure/arrival time and time-space prism vertices. The SFM based on an appropriate distributional assumption can be applied in activity-based models for big cities to better reflect tighter temporal constraints on metropolitan residents and narrower time-space prisms for outdoor activity arrangement.
PubDate: 2021-04-01

• Examining the effect of life course events on modality type and the
moderating influence of life stage
• Abstract: Previous research has demonstrated the relevance of life events to explain changes in travel behavior. Less clear is the moderating role played by life stages on the relationship between life events and travel behavior. Our goal in this study is to explore how the influence of life events on travel behavior differs by life stage. We use data from a travel survey of faculty, staff and students at a US university. We define four life stages: millennials living in shared apartments or alone, millennials living with partners, parents (of any generation) living with their children, and non-millennial adults living without children. Four modality types were defined: active travelers, car users, transit users, and multimodal travelers. We use a Manifest Markov Model to estimate probabilities of switching modality types between two waves of the survey. Life stage does not significantly moderate effects of life events on change in travel behavior but does affect modality type: the prevalence of active travel modality types, particularly the share of women who are active travelers, decreases throughout the life stages. Millennials living with their partners and parents living with their children relocate to another town more often than those in other life stages, a life event associated with a higher probability of switching to car use only. Our results identify “windows of opportunity”, such as residential relocation, that planners can use to promote sustainable travel behavior.
PubDate: 2021-04-01

• Validation of a unidimensional and probabilistic measurement scale for
pro-environmental behaviour by travellers
• Abstract: In the current debate, ecological themes have become a key element that can influence public policy, as recent events involving green activist groups have shown. Public policies targeted to education, along with focused advertising, can strongly influence people’s beliefs and their emotional reactions. Understanding individual behavioural responses is therefore of the utmost importance for policy makers wishing to encourage more sustainable mobility. They could be greatly assisted by an effective measure of ecological behaviour giving them a better understanding of the determinants of travel behaviour, enabling them to analyse the impact of adopted policies. Ideally, such a measure should be simple to use, and it should be usable across different cultural and geographical contexts so as to allow comparisons between different countries. This paper seeks to determine whether the General Ecological Behaviour (GEB) questionnaire—as a dichotomous multi-items Rasch scale for ecological behaviour measurement—is valid for use in a different cultural context. We refer to the relevant literature, and we describe our approach in detail so that it may easily be adopted by interested practitioners. The research was done in the metropolitan area of Torino (Italy), where a multimodal real-time smartphone application to assist travellers and encourage them towards more sustainable mobility was being developed and trialled. Within this framework, an investigation was done into the pro-environmental behaviour of the participants in the app trial. Our aim was to determine whether a general pro-environmental attitude can legitimately be assessed using Item Response Theory and, notably, the Rasch model. Results suggest that, using an Item Response Theory model, GEB is a questionnaire that is able to effectively measure pro-environmental behaviour by travellers. There are no discrepancies between pro-social behaviour (a trait that is known to correlate with environmentally friendly attitudes and that the GEB questionnaire seeks to measure) and actual environmentally friendly behaviour; one-dimensionality, item reliability, and the absence of simple differential item functioning are all good indicators of a model that functions well. GEB has shown its potential in providing an understanding of people’s attitudes towards environmental issues and of how this information might be used to better tailor public policies in a number of sectors, in particular transport.
PubDate: 2021-04-01

• How does commute duration affect subjective well-being' A case study
of Chinese cities
• Abstract: Previous research on the role of commute duration in subjective well-being (SWB) has paid little attention to developing countries and the possible pathways determining the relationship between them. In this study, we construct a conceptual framework, identifying the possible pathways through which commute duration may affect SWB. Next, we empirically analyse some of these pathways in the context of urban China. We find that although the direct effects of commute duration on life satisfaction and emotional well-being are insignificant, prolonged commute duration has significant and negative indirect effects on life satisfaction and emotional well-being through lowering health, job satisfaction, and community-based social capital. In addition, compared with people who commute by public transport, those who use private cars are more satisfied with their lives. Urban policymakers should give more consideration to reducing traffic congestion, to promoting the housing and labour market, as well as public transport, to reduce the negative influences of commute duration on SWB.
PubDate: 2021-04-01

• Consideration of different travel strategies and choice set sizes in
transit path choice modelling
• Abstract: Path choice modelling is typically conducted by considering a subset of paths, not the universal set of all feasible paths as this is computationally challenging. This study proposes a two-stage modelling approach. In the first stage, it develops a new probabilistic importance sampling protocol by using fuzzy logic. In the second stage, it tested different structures of the discrete choice models, where different strategy attributes are considered along with the traditional variables. The results prove that the new sampling protocol performs better than traditional sampling protocol. Again, the inclusion of the strategy attributes proves to yield better prediction. The results of the study recommend considering different strategy attributes in the path generation process as well as in the transit assignment models. The study also discusses the effect of the choice set size on the model performance. Household travel survey data of south-east Queensland, Australia is used to develop the models.
PubDate: 2021-04-01

• Gender differences in commuting travel in the U.S.: interactive effects of
race/ethnicity and household structure
• Abstract: This research investigates the interactive effects of the household structure and race/ethnicity on gender differences in commuting travel in the United States. Existing research has established that both the household structure and race/ethnicity affect the gender differences, but little has examined if and how the effects of the household structure differ across racial/ethnic groups. Using the 2017 U.S. National Household Travel Survey, I estimate gender differences in commuting distance and in the probability of automobile commute in five household types and in four racial/ethnic groups. Results suggest differing effects of household types across racial/ethnic groups: the effects are particularly large in Hispanic people and small in Black people; the effects are moderate in white and Asian people. The research provides an analytical framework that jointly considers the two important factors that explain gendered commuting travel, and it reveals nuanced findings that can inform people-based and context-sensitive transport policies.
PubDate: 2021-04-01

• Cascading failure analysis and robustness optimization of metro networks
based on coupled map lattices: a case study of Nanjing, China
• Abstract: Cascading failure in metro networks is a dynamic chain process induced by the interaction of passenger flow and network topology. In this paper, a bi-directional coupled map lattice model is proposed to study the cascading failure of metro networks. The model considers the two-way traffic problem, and the results are closer to those of actual metro networks than the previous one-way coupling models. A $$\eta$$ -based flow redistribution method is proposed, and different passenger flow redistribution strategies after station failure can be achieved by changing the flow redistribution coefficient $$\eta$$ from 0 to 1. Moreover, the robustness of metro networks can be optimized by searching for the optimal $$\eta$$ that can maximize the critical perturbation leading to global network failure. We study the actual case of Nanjing metro. The analysis results show that the network is more vulnerable to intentional attacks than to random failures, and global network failure is triggered more easily on the largest strength station than on the stations with the largest betweenness and largest degree. The influence of coupling strengths on the critical perturbation is also investigated. The results show that larger coupling strengths correspond to smaller critical perturbations, but a change in the coupling strengths has a small impact on the optimal $$\eta$$ . Under the given traffic data, the optimal $$\eta$$ for Nanjing metro is approximately in the range (0.3, 0.4). This study provides a reference for developing strategies for dynamic safety evaluation and emergency management of passenger flow in metro networks.
PubDate: 2021-04-01

• What drives the gap' Applying the Blinder–Oaxaca decomposition
method to examine generational differences in transportation-related
attitudes
• Abstract: Considerable recent work suggests that Millennials’ behaviors may be converging with those of Generation X as they enter later life stages, but few have investigated whether attitudes, which are often strong predictors of behavior, are undergoing the same convergence. In this study, we analyze the existing generational gap in four transportation-related attitudes (currently pro-urban, long-term pro-urban, pro-car ownership, and pro-environment), and examine the differential effects of other characteristics, including life-stage variables, on these attitudinal gaps. We apply the threefold Blinder–Oaxaca decomposition method to a statewide (weighted) sample of 1029 Millennials and 946 Generation Xers from California to unravel these effects. The method distinguishes among: (1) effects due to the cohorts having different characteristics (endowments); (2) effects due to those characteristics having different influences on attitudes (coefficients); and (3) the interaction of those two effects. We observe that Millennials’ attitudes: (1) differ from those of Generation X only by small, albeit statistically significant, amounts on average; and (2) are closer to those of Generation X as they gain on a host of life-stage variables such as marital status, income, and education. For example, if Millennials were married, employed, and earning higher incomes at the same rates as Generation X (but retaining their own model coefficients), the generational gap in the currently pro-urban attitude would be reduced by 24%. This study brings an econometric approach to the study of generational divides in transportation-related attitudes, with findings suggesting that Millennials might be leaving part of their uniqueness behind as they enter later life stages.
PubDate: 2021-04-01

• Forecasting bus ridership using a “Blended Approach”
• Abstract: As sources of “Big Data” continue to grow, transportation planners and researchers seek to utilize these new resources. Given the current dependency on traditional transportation data sources and conventional tools (e.g., spreadsheets and propriety models), how can these new resources be used' This research examines a “blended data” approach, using a web-based, open source platform to assist transit agencies to forecast bus ridership. The platform is capable of incorporating new Big Data sources and traditional data sources, using modern processing techniques and tools, particularly Application Programming Interfaces (APIs). This research demonstrates the use of APIs in a transit demand methodology that yields a robust model for bus ridership. The approach uses the Census Transportation Planning Products data, modified with American Community Survey data, to generate origin–destination tables for bus trips in a designated market area. Microsimulation models us a transit scheduling specification (General Transit Feed Specification) and an open source routing engine (OpenTripPlanner). Local farebox data validates the microsimulation models. Analyses of model output and farebox data for the Atlantic City transit market area, and a scenario analysis of service reduction in the Princeton/Trenton transit market area, illustrate the use a “blended approach” for bus ridership forecasting.
PubDate: 2021-04-01

• Modeling dynamics in household car ownership over life courses: a latent
class competing risks model
• Abstract: This study presents a latent class competing risks model to examine the influence of socio-demographics and life course events on car transaction behaviour. The types of car transaction and interval times between car transactions events are incorporated in a competing risk model. To capture unobserved behavioural heterogeneity across the population, the model classifies households into different segments. Results estimated based on retrospective survey data show significant heterogeneity exist in household car ownership decisions. The covariates are found to have different effects on car ownership decisions between different classes. Households in the class labelled “Young households without a car” are more sensitive to life course events related to household composition. Households labelled as “middle-aged and aged households with car(s)” are more sensitive to life course events related to job and house locations.
PubDate: 2021-04-01

• Understanding tourists’ expenditure patterns: a stochastic frontier
approach within the framework of multiple discrete–continuous choices
• Abstract: This article analyzes the determinants of tourists’ expenditure behavior through the joint adoption of two microeconometric approaches, namely, the Stochastic Frontier (SF) and the Multiple Discrete Continuous Extreme Value (MDCEV) model. Despite the attention that analysts have dedicated to consumers’ expenditure behavior in recent years, several limitations concerning the role of budget and the phases of money allocation are still affecting the literature on the topic. In this study, the SF is employed to identify the unobserved individual maximum level of spending allotted for a trip. Once estimated, the frontier is included as a travel budget in the utility-maximizing framework of a MDCEV model. The MDCEV approach allows to simultaneously assess two moments characterizing spending decisions. That is, the decision to allocate the budget to several expenditure categories and the decision concerning the amount to allocate to each category. Data adopted for this research is collected by the Swiss Statistical Office (UST) through a representative Household Budget Survey (Haushaltsbudgeterhebung). Data related to Swiss residents’ leisure travel expenditures are investigated; more specifically, the expenditure categories considered in the analysis are Accommodation, Transportation, Shopping and Food & Beverage.
PubDate: 2021-04-01

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