Transportation

Papers
(The H4-Index of Transportation is 20. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Increasing relative risk taking in a choice context with source-dependent travel time risks80
Analyzing the importance of network topology in AADT estimation: insights from travel demand models using graph neural networks42
Identifying instant utility using psychophysiological indicators in a transport experiment with ecological validity39
Shared micromobility, perceived accessibility, and social capital39
Does response lag affect travelers’ stated preference? Evidence from a real-time stated adaptation survey35
An agent-based simulation approach to investigate the shift of Switzerland’s inland freight transport from road to rail33
An agent-based fleet management model for first- and last-mile services33
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 Australia28
Let’s walk! The fallacy of urban first- and last-mile public transport25
Flow count data-driven static traffic assignment models through network modularity partitioning25
Modeling activity capacity of multimodal transportation network: a bi-level optimization framework with land use constraints24
Transit modal complementarity: measuring the access provided by transfers24
Can polycentric urban morphology improve transportation carbon emission efficiency? Evidence from 285 Chinese cities, 2005–202024
COVID Future panel survey: A unique public dataset documenting how U.S. residents’ travel-related choices changed during the COVID-19 pandemic23
Impact of the COVID-19 pandemic on bike-sharing uses in two French towns: the cases of Lyon and Toulouse23
Accessibility improvement and interregional trade flows23
Modeling disease spread: Integrating mobility, awareness, and behavior22
What are the multimodal patterns of individual mobility at the day level in the Paris region? A two-stage data-driven approach based on the 2018 Household Travel Survey22
Assessing the evolution of Public Transportation demand over time based on real data through survival analysis in Bologna, Italy21
Who travels more and longer in Switzerland? Insights into mode choice, daily travel time, and trip frequency from GPS-based data21
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