Transportation

Papers
(The H4-Index of Transportation is 19. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Identifying main drivers for students and staff members’ choice or to work/study from home or attend university campus and their transport mode choice: a case study in Australia44
Identifying instant utility using psychophysiological indicators in a transport experiment with ecological validity42
An agent-based fleet management model for first- and last-mile services41
Impacts of mobility and social networks on social activity-travel participation using location-based social network data39
Increasing relative risk taking in a choice context with source-dependent travel time risks32
An agent-based simulation approach to investigate the shift of Switzerland’s inland freight transport from road to rail32
Simulating railway punctuality in three Swedish metropolitan regions30
Does response lag affect travelers’ stated preference? Evidence from a real-time stated adaptation survey27
Mapping cycling-specific infrastructure using object detection on remotely sensed images27
Flow count data-driven static traffic assignment models through network modularity partitioning25
Transit modal complementarity: measuring the access provided by transfers23
Analyzing the importance of network topology in AADT estimation: insights from travel demand models using graph neural networks23
COVID Future panel survey: A unique public dataset documenting how U.S. residents’ travel-related choices changed during the COVID-19 pandemic23
Modeling disease spread: Integrating mobility, awareness, and behavior23
Shared micromobility, perceived accessibility, and social capital23
Retiring meters: a roadmap to encourage wider adoption of parking apps22
Panacea or placebo? Exploring the causal effects of nonlocal vehicle driving restriction policies on traffic congestion using a difference-in-differences approach22
Modeling activity capacity of multimodal transportation network: a bi-level optimization framework with land use constraints20
Who travels more and longer in Switzerland? Insights into mode choice, daily travel time, and trip frequency from GPS-based data20
Assessing the evolution of Public Transportation demand over time based on real data through survival analysis in Bologna, Italy19
Impact of the COVID-19 pandemic on bike-sharing uses in two French towns: the cases of Lyon and Toulouse19
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