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 2022-05-01 to 2026-05-01.)
ArticleCitations
Learning from user behavior: A survey-assist algorithm for longitudinal mobility data collection138
Understanding cyclists’ conflicts in the streets of a Latin American metropolis132
Modeling evacuation activities amid compound hazards: Insights from hurricane Irma in Southeast Florida107
Editorial Board98
Impact of traffic campaigns on the average speed of vehicles on urban roads93
Gender difference in commuting travel: A comparative study of suburban residents in Beijing and Shanghai90
Daily trip making during the COVID-19 pandemic: A national survey of older adults in the United States85
Accessible taxi routing strategy based on travel behavior of people with disabilities incorporating vehicle routing problem and Gaussian mixture model83
E-scooters in Qatar: Public perception, adoption intentions, and implications for urban mobility policy75
Nowhere to go – Effects on elderly's travel during Covid-1973
To grab or not? Revealing determinants of drivers’ willingness to grab orders in on-demand ride services72
Impact of operating speed, roadway curvature, and precipitation on roadway departure risk in rural two-lane roads58
Investigating Opportunities in Crowd-Shipping by Parcel Receivers: A Behavioural Analysis57
Decoding electric vehicle adoption using XGBoost and SHAP analysis57
Using Realtime GTFS to generate easy-to-use transit accessibility measures under travel time uncertainty53
Demand responsive transport: New insights from peri-urban experiences49
Identifying the heterogeneous effects of road characteristics on Motorcycle-Involved crash severities49
Evaluating the role of ride-hailing in multimodal travel to maximize travel utility in urban areas45
A deeper look at switching intention to electric moped: Magnitude vs Uncertainty45
Evidence on e-scooter ownership and use in non-urban areas43
Understanding short-distance travel to school in Singapore: A data-driven approach43
Misinformation and misperception in the market for parking42
Linking accessibility, transportation satisfaction, and destination satisfaction: Evidence from a ten-year longitudinal study in Xishuangbanna, China42
Modeling travelers’ joint car ownership and car type choice behavior: The role of autonomous vehicle safety-security perceptions41
Safety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning40
Dynamic community detection considering daily rhythms of human mobility40
Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China38
“I am dependent on others to get there”: Mobility barriers and solutions for societal participation by persons with disabilities38
Complementary intermodal commuting and resident travel satisfaction: A nonlinear and interaction analysis38
Investigating emotion fluctuations in driving behaviors of online car-hailing drivers using naturalistic driving data37
How daily activities and built environment affect health? A latent segmentation-based random parameter logit modeling approach37
Beyond time and cost: exploring the importance of factors in travel mode choices36
Exploring the diversity of users of digital mobility services by developing personas – A case study of the Barcelona metropolitan area36
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
A single-blinded randomised controlled trial incentivising adults to increase public transport for health gain: The trips4health study35
Modeling EV charging behavior: The impact of service experience and user heterogeneity35
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