Travel Behaviour and Society

Papers
(The H4-Index of Travel Behaviour and Society is 33. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Learning from user behavior: A survey-assist algorithm for longitudinal mobility data collection114
Modeling evacuation activities amid compound hazards: Insights from hurricane Irma in Southeast Florida106
Impact of traffic campaigns on the average speed of vehicles on urban roads87
Impact of operating speed, roadway curvature, and precipitation on roadway departure risk in rural two-lane roads83
To grab or not? Revealing determinants of drivers’ willingness to grab orders in on-demand ride services79
Using Realtime GTFS to generate easy-to-use transit accessibility measures under travel time uncertainty73
Investigating Opportunities in Crowd-Shipping by Parcel Receivers: A Behavioural Analysis70
Gender difference in commuting travel: A comparative study of suburban residents in Beijing and Shanghai68
Understanding the potential of MaaS – An European survey on attitudes68
Rail Transit, for Who? perceptions and factors influencing light rail ridership in Charlotte, NC65
Identifying the heterogeneous effects of road characteristics on Motorcycle-Involved crash severities64
Editorial Board64
Demand responsive transport: New insights from peri-urban experiences62
Understanding cyclists’ conflicts in the streets of a Latin American metropolis61
Daily trip making during the COVID-19 pandemic: A national survey of older adults in the United States54
Accessible taxi routing strategy based on travel behavior of people with disabilities incorporating vehicle routing problem and Gaussian mixture model53
Nowhere to go – Effects on elderly's travel during Covid-1952
Investigating emotion fluctuations in driving behaviors of online car-hailing drivers using naturalistic driving data49
A deeper look at switching intention to electric moped: Magnitude vs Uncertainty46
Beyond time and cost: exploring the importance of factors in travel mode choices44
Complementary intermodal commuting and resident travel satisfaction: A nonlinear and interaction analysis44
Exploring the diversity of users of digital mobility services by developing personas – A case study of the Barcelona metropolitan area43
Evidence on e-scooter ownership and use in non-urban areas41
Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China39
How daily activities and built environment affect health? A latent segmentation-based random parameter logit modeling approach36
Safety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning35
Dynamic community detection considering daily rhythms of human mobility35
Misinformation and misperception in the market for parking35
Understanding short-distance travel to school in Singapore: A data-driven approach35
Examining cross-cultural patterns in customer citizenship behavior: A cross-cultural exploration between Turkish and British airline passengers34
“I am dependent on others to get there”: Mobility barriers and solutions for societal participation by persons with disabilities34
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 participation34
Accessibility to cultural economy opportunities by high-speed rail34
Exploring the relationships among life satisfaction, neighborhood satisfaction and travel satisfaction in Beijing33
Designing railway transit network with first-mile access via ride-sharing autonomous vehicle service33
Intermodal mobility: A psychometric and behavioural analysis of public transport users in Porto Metropolitan Area33
Moving towards climate-resilient mobility: Challenges and emerging trends33
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