Travel Behaviour and Society

Papers
(The H4-Index of Travel Behaviour and Society is 35. 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
Learning from user behavior: A survey-assist algorithm for longitudinal mobility data collection122
Investigating Opportunities in Crowd-Shipping by Parcel Receivers: A Behavioural Analysis120
Editorial Board94
Impact of traffic campaigns on the average speed of vehicles on urban roads87
Accessible taxi routing strategy based on travel behavior of people with disabilities incorporating vehicle routing problem and Gaussian mixture model84
Impact of operating speed, roadway curvature, and precipitation on roadway departure risk in rural two-lane roads84
Demand responsive transport: New insights from peri-urban experiences76
Daily trip making during the COVID-19 pandemic: A national survey of older adults in the United States72
To grab or not? Revealing determinants of drivers’ willingness to grab orders in on-demand ride services72
Identifying the heterogeneous effects of road characteristics on Motorcycle-Involved crash severities69
Decoding electric vehicle adoption using XGBoost and SHAP analysis68
Gender difference in commuting travel: A comparative study of suburban residents in Beijing and Shanghai67
Modeling evacuation activities amid compound hazards: Insights from hurricane Irma in Southeast Florida66
Rail Transit, for Who? perceptions and factors influencing light rail ridership in Charlotte, NC64
Using Realtime GTFS to generate easy-to-use transit accessibility measures under travel time uncertainty60
Understanding cyclists’ conflicts in the streets of a Latin American metropolis56
Understanding the potential of MaaS – An European survey on attitudes54
Nowhere to go – Effects on elderly's travel during Covid-1951
A deeper look at switching intention to electric moped: Magnitude vs Uncertainty50
Beyond time and cost: exploring the importance of factors in travel mode choices48
Linking accessibility, transportation satisfaction, and destination satisfaction: Evidence from a ten-year longitudinal study in Xishuangbanna, China46
Safety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning44
Evaluating the role of ride-hailing in multimodal travel to maximize travel utility in urban areas43
Investigating emotion fluctuations in driving behaviors of online car-hailing drivers using naturalistic driving data41
Exploring the diversity of users of digital mobility services by developing personas – A case study of the Barcelona metropolitan area39
Evidence on e-scooter ownership and use in non-urban areas38
Dynamic community detection considering daily rhythms of human mobility37
Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China37
Understanding short-distance travel to school in Singapore: A data-driven approach37
How daily activities and built environment affect health? A latent segmentation-based random parameter logit modeling approach36
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 participation36
Complementary intermodal commuting and resident travel satisfaction: A nonlinear and interaction analysis36
Misinformation and misperception in the market for parking36
“I am dependent on others to get there”: Mobility barriers and solutions for societal participation by persons with disabilities36
Commuters’ intention to choose customized bus during COVID-19 pandemic: Insights from a two-phase comparative analysis35
Accessibility to cultural economy opportunities by high-speed rail35
High-Speed railways and the spread of Covid-1935
A single-blinded randomised controlled trial incentivising adults to increase public transport for health gain: The trips4health study35
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