Journal: Transportation Research Part A: Policy and Practice

Abbreviation

Transp. Res., Part A Policy Pract.

Publisher

Elsevier

Journal Volumes

ISSN

0965-8564
1879-2375

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2011 - 2019182020 - 202641
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Publications 1 - 10 of 59
  • Mode choice behavior in a tradable mobility credit scheme
    Item type: Journal Article
    Álvarez-Ossorio Martínez, Santiago; Schatzman, Thomas; Loder, Allister; et al. (2025)
    Transportation Research Part A: Policy and Practice
    Tradable Mobility Credit (TMC) schemes are considered a promising policy instrument to mitigate the production of transport externalities while enhancing equity and preserving social acceptance. Nevertheless, research lacks a disaggregated analysis of their potential impacts on mode choice, while the empirical user behavior has remained largely unstudied. We address this gap by presenting the results of the first large-scale stated-preference (SP) experiment examining the complex trade-offs between travel time, internal and external travel costs, and other level-of-service attributes in a multimodal TMC scheme. Using multinomial logit models, we derive the value of travel time (VTT) and the own- and cross-elasticities under such a scheme to discuss policy implications. Our results confirm the potential of TMC to reduce car usage; despite its complexity, citizens understand the concept of TMCs and make decisions according to the underlying economic theory of TMC. Furthermore, the modeling results suggest the presence of different behavioral effects: loss aversion, and the budget depletion and period effects, which modulate the sensitivity to the credit charges. Our findings and the VTT and elasticity estimates are informative to improve behavioral modeling in future research on TMC schemes. Interestingly, we find that a traditional road user charging scheme would require a 77% tax on the car trips’ internal costs for a comparative modal share impact. Hence, our results support the notion that TMC schemes are promising policy instruments for achieving sustainability goals.
  • Is the London Cycle Hire Scheme becoming more inclusive?
    Item type: Journal Article
    Lovelace, Robin; Beecham, Roger; Heinen, Eva; et al. (2020)
    Transportation Research Part A: Policy and Practice
    Pro-cycling interventions, and cycle hire schemes in particular, are often assumed to primarily benefit the privileged. This framing has played-out in academic research, with many papers exploring the relationship between cycling and existing inequalities. A growing body of evidence suggests that cycle hire schemes tend to serve wealthy areas and young, high income groups, mirroring inequalities in other types of cycling uptake, yet there has been little research into the ‘direction of travel’ and whether such inequalities are growing or ‘levelling up’ over time. This paper explores the uptake of the London Cycle Hire Scheme (LCHS), a large, early and prominent scheme that had the explicit aim of ‘normalising’ cycling. The method involved reproducible analysis (with code documented in the GitHub repo Robinlovelace/cycle-hire-inclusive) of 73.4 million cycle high records spanning 8 years from January 2012 to December 2019, using the geographic location of docking stations alongside official statistics to assess social and spatial inequalities in uptake. The method involved analysis of 73.4 million cycle high records spanning 8 years from January 2012 to December 2019, using the geographic location of docking stations alongside official statistics to assess social and spatial inequalities in uptake. We found that, contrary to the trend for increasing segregation and geographic inequalities, the usage of the LCHS have become increasingly geographically distributed across London over time, with AM peak usage in comparatively low-income areas seeing high levels of growth. Our study shows that cycle hire schemes can be designed and expanded in ways that benefit a wide range of people, including those from low income areas, and that new cycle hire docking stations in poorer areas can succeed.
  • Transportation service bundling – for whose benefit?
    Item type: Journal Article
    Guidon, Sergio; Wicki, Michael; Bernauer, Thomas; et al. (2020)
    Transportation Research Part A: Policy and Practice
  • A novel approach to study the role of social networks in planning joint leisure activities
    Item type: Journal Article
    Jin, Zhuhan; Bansal, Prateek; Axhausen, Kay W. (2025)
    Transportation Research Part A: Policy and Practice
    Incorporating social activities in activity-based models is inherently complex due to their diverse nature and the intricacies involved in social coordination. Traditional stated preference surveys also face challenges in capturing the nuanced negotiation processes among group members while planning the location and timing of these activities. To address these challenges, we design a novel street-intercept survey with a series of stated choice experiments to examine how the individual’s preferences for social activity location are affected by knowing the friend’s preferences and mobility inconveniences. We show the application of the approach to investigate the social dining preferences of a pair of friends in Singapore. Our findings indicate that social network attributes (such as the duration of social relationships) and sociodemographic characteristics (like the gender of friends) substantially influence the weight given to a friend’s preferences and convenience when selecting a location for joint dining activities. The method is adaptable to modeling other social activities and various activity dimensions (e.g., start time and duration).
  • High-speed rail, market access, and the rise of consumer cities: Evidence from China
    Item type: Journal Article
    Zheng, Longfei; Chang, Zheng; Martinez, Andrea González (2022)
    Transportation Research Part A: Policy and Practice
    This study examines the impact of high-speed rail (HSR) on the formation of consumer cities in China. We employ the market access (MA) approach and construct the least-cost path spanning tree network as an instrument to estimate the causal impact of HSR development on the socio-economic changes of counties from 2007 to 2016. Through a set of instrumental variable regressions, we find that districts with high MA growth experienced service sector agglomeration, manufacturing sector decentralization, and land price appreciation. These effects are relatively large for the urban districts of first- and second-tier Chinese cities. Through counterfactual analysis, we find that the absence of an HSR network decreases the growth of the number of service firms and service land price by 6.11% and 52.2%, respectively. These results suggest that HSR plays a key role in the rise of consumer cities by improving market access/integration, which transfers the economic structure from production to consumption.
  • Spatial prediction of traffic accidents with critical driving events – Insights from a nationwide field study
    Item type: Journal Article
    Ryder, Benjamin; Dahlinger, André; Gahr, Bernhard; et al. (2019)
    Transportation Research Part A: Policy and Practice
  • Designing a large-scale public transport network using agent-based microsimulation
    Item type: Journal Article
    Manser, Patrick; Becker, Henrik; Hörl, Sebastian; et al. (2020)
    Transportation Research Part A: Policy and Practice
  • Faster, greener, scooter?
    Item type: Journal Article
    Krauss, Konstantin; Gnann, Till; Burgert, Tobias; et al. (2024)
    Transportation Research Part A: Policy and Practice
    In recent years, few transportation modes have gained so much attention so quickly as shared e-scooters. Debates focus on usage patterns over shift effects to environmental impacts. Previous research has mainly been conducted in Asia and North America and in metropolitan areas. Potential interdependencies have been analysed mostly towards public transport (PT). Surprisingly, investigations concerning the usage of shared e-scooters and other shared mobility services have been scarce. However, understanding possible (inter-)dependencies and potentials for inter- and multimodality is crucial for policymakers and transport planners to design efficient and sustainable transportation systems. This is why we draw on an original data set of 118,047 shared e-scooter trips in Karlsruhe, a non-metropolitan city in southwest Germany and add information about carsharing and PT. Apart from station information for both modes, we add departure information for tramways, and weather data. Shared e-scooter data is retrieved via the local providers from November 2020 to April 2021, information about the stations of carsharing and PT is added via OpenStreetMap, and tramway service data is retrieved via the local authority. We find an average trip distance of 1.40 km and substantially less usage on Sundays. The potential of combining shared e-scooters is higher for PT than for carsharing. Shared e-scooter trips show longer distances in times of lower or none PT service. Negative binomial regression models with fixed effects for the PT or carsharing stations show that the number of tram departures positively affects shared e-scooter usage, particularly at off-peak times. Applying mode shift scenarios and focusing on the usage phase, the energy consumption effect of shared e-scooters is found to be between 5 to +0.5 TWh. However, it requires providers to revisit their operations and policy to rethink regulation to get even close to the multimodal or energy consumption potential.
  • A simultaneous model of residential location, mobility tool ownership and mode choice using latent variables
    Item type: Journal Article
    Schmid, Basil; Becker, Felix; Axhausen, Kay W.; et al. (2023)
    Transportation Research Part A: Policy and Practice
    This paper investigates the interplay between three key choice dimensions in transport modeling: (i) Residential location, (ii) mobility tool (e.g., car and/or public transport season ticket) ownership and (iii) mode choice. We use a unique panel dataset of recently moved Swiss respondents to better assess the impact of changes in the respective dimensions. An expected trend is that the more accessible the residential location, the more likely the respondent owns a public transport season ticket, and the more likely public transport rather than a car is chosen. However, our model allows to disentangle the decision process and provides a more comprehensive picture of respondents’ behavior. For example, our simple mode choice model shows a strong and positive effect of income on the choice of car. In the simultaneous approach, given respondents’ increase in car ownership for increasing income, this effect becomes even more substantial if the residential location is assumed to be constant. With the latter assumption lifted, however, the effect decreases again, since respondents with higher income tend to live in areas with higher accessibility, lowering their car usage. An important general finding is that if the longer-term decisions (i.e., the choice of residential location and mobility tools) are considered, the short-term effects of level-of-service attributes (such as travel time) on mode choice is substantially weakened by more than 20%.
  • Disruptions as catalysts to sustainability? Long-term responses in bike-sharing demand to disruptions during the pandemic
    Item type: Journal Article
    An, Zihao; Mullen, Caroline; Heinen, Eva (2025)
    Transportation Research Part A: Policy and Practice
    Understanding the implications of large-scale, prolonged disruptions on travel demand is important for informing the future design of resilient, efficient, and sustainable transport systems. Major disruptions during the COVID-19 pandemic provide an opportunity to shed light on this issue. While contemporaneous responses in such demand amidst these disruptions have been well documented, insights into long-term post-disruption responses remain limited. This research gap challenges the development of a transport policy agenda capable of adapting to and mitigating the enduring consequences of disruptions. This research contributes to this topic by scrutinising long-term responses in bike-sharing demand to major disruptions during the pandemic. It investigates (1) the characteristics of these long-term responses; (2) the discrepancies between the long-term and contemporaneous responses to these disruptions; and (3) the associations of the long-term responses with docking stations’ contextual characteristics. We use 57-month bike-sharing demand data from London, spanning the pre-, amidst-, and post-disruption phases. Utilising pre-disruption data as a baseline and data in subsequent phases as comparisons, we apply Bayesian time-series models for counterfactual analysis to assess bike-sharing demand's responses. We find that major disruptions during the pandemic contribute, in the long term, to a more than 20% rise in bike-sharing demand in the post-disruption phase, compared to a counterfactual scenario absent such disruptions. The increase in off-peak hour demand is greater than in peak hour demand. Demand for short- and medium-duration trips increases, whilst that for long-duration trips decreases slightly. However, despite the overall increase in demand post-disruption, the magnitude of this increase flattens over time. Moreover, bike-sharing demand's long-term responses surpass its contemporaneous responses. Finally, docking stations located in areas with a more diverse land-use mix, higher intersection density, better accessibility to public transport, and a lower percentage of minority population show a larger long-term response in demand. Our findings remain robust while accounting for the confounding impacts of COVID-19 cases post-disruption and the implementation of active travel interventions during the pandemic. We suggest that prolonged disruptions like those during the pandemic may have functioned as catalysts for the uptake of sustainable transport, such as bike-sharing. Yet, our evidence of a diminishing long-term response over time underscores a need for persistent, proactive actions to support sustainable transport after disruptions subside, if the positive response is to be sustained.
Publications 1 - 10 of 59