Travel Behaviour and Society

Papers
(The H4-Index of Travel Behaviour and Society is 34. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
Learning from user behavior: A survey-assist algorithm for longitudinal mobility data collection107
Nowhere to go – Effects on elderly's travel during Covid-1998
Editorial Board98
Demand responsive transport: New insights from peri-urban experiences81
Rail Transit, for Who? perceptions and factors influencing light rail ridership in Charlotte, NC80
Accessible taxi routing strategy based on travel behavior of people with disabilities incorporating vehicle routing problem and Gaussian mixture model79
Daily trip making during the COVID-19 pandemic: A national survey of older adults in the United States76
Identifying the heterogeneous effects of road characteristics on Motorcycle-Involved crash severities69
Using Realtime GTFS to generate easy-to-use transit accessibility measures under travel time uncertainty67
Investigating Opportunities in Crowd-Shipping by Parcel Receivers: A Behavioural Analysis67
Modeling evacuation activities amid compound hazards: Insights from hurricane Irma in Southeast Florida63
Understanding cyclists’ conflicts in the streets of a Latin American metropolis63
Impact of traffic campaigns on the average speed of vehicles on urban roads62
Impact of operating speed, roadway curvature, and precipitation on roadway departure risk in rural two-lane roads61
To grab or not? Revealing determinants of drivers’ willingness to grab orders in on-demand ride services60
Gender difference in commuting travel: A comparative study of suburban residents in Beijing and Shanghai60
Are travellers willing to adopt MaaS? Exploring attitudinal and personality factors in the case of Madrid, Spain58
Understanding the potential of MaaS – An European survey on attitudes53
Investigating emotion fluctuations in driving behaviors of online car-hailing drivers using naturalistic driving data51
Misinformation and misperception in the market for parking50
How daily activities and built environment affect health? A latent segmentation-based random parameter logit modeling approach45
A deeper look at switching intention to electric moped: Magnitude vs Uncertainty44
Evidence on e-scooter ownership and use in non-urban areas43
Beyond time and cost: exploring the importance of factors in travel mode choices43
Complementary intermodal commuting and resident travel satisfaction: A nonlinear and interaction analysis43
How does low income affect older people’s travel practices? Findings of a qualitative case study on the links between financial poverty, mobility and social participation40
Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China39
Safety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning37
Exploring the diversity of users of digital mobility services by developing personas – A case study of the Barcelona metropolitan area37
Understanding short-distance travel to school in Singapore: A data-driven approach35
“I am dependent on others to get there”: Mobility barriers and solutions for societal participation by persons with disabilities35
Dynamic community detection considering daily rhythms of human mobility34
Moving towards climate-resilient mobility: Challenges and emerging trends34
Real-time taxi spatial anomaly detection based on vehicle trajectory prediction34
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