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
Shared micromobility, perceived accessibility, and social capital39
Identifying instant utility using psychophysiological indicators in a transport experiment with ecological validity39
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
Who travels more and longer in Switzerland? Insights into mode choice, daily travel time, and trip frequency from GPS-based data21
Assessing the evolution of Public Transportation demand over time based on real data through survival analysis in Bologna, Italy21
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