OOIR: Observatory of International Research

Papers

(The H4-Index of Travel Behaviour and Society is 32. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models	187
Dockless E-scooter usage patterns and urban built Environments: A comparison study of Austin, TX, and Minneapolis, MN	158
COVID-19, activity and mobility patterns in Bogotá. Are we ready for a ‘15-minute city’?	89
Commute satisfaction, neighborhood satisfaction, and housing satisfaction as predictors of subjective well-being and indicators of urban livability	88
Ready for Mobility as a Service? Insights from stakeholders and end-users	74
Future implementation of mobility as a service (MaaS): Results of an international Delphi study	66
Why travelers trust and accept self-driving cars: An empirical study	60
Who are the potential users of shared e-scooters? An examination of socio-demographic, attitudinal and environmental factors	54
The role of habit and the built environment in the willingness to commute by bicycle	53
A big data approach to understanding pedestrian route choice preferences: Evidence from San Francisco	53
Spatial accessibility assessment of COVID-19 patients to healthcare facilities: A case study of Florida	52
Relationships of the multi-scale built environment with active commuting, body mass index, and life satisfaction in China: A GSEM-based analysis	51
Creation of mobility packages based on the MaaS concept	49
Modelling work- and non-work-based trip patterns during transition to lockdown period of COVID-19 pandemic in India	48
Who is interested in a crowdsourced last mile? A segmentation of attitudinal profiles	47
Long commutes and transport inequity in China’s growing megacity: New evidence from Beijing using mobile phone data	43
Investigating heterogeneity in preferences for Mobility-as-a-Service plans through a latent class choice model	42
Predicting the travel mode choice with interpretable machine learning techniques: A comparative study	41
Understanding electric bike riders’ intention to violate traffic rules and accident proneness in China	40
Young people's perceived service quality and environmental performance of hybrid electric bus service	40
Perception of the built environment and walking in pericentral neighbourhoods in Santiago, Chile	40
Factors influencing consumer acceptance of vehicle-to-grid by electric vehicle drivers in the Netherlands	39
Understanding user practices in mobility service systems: Results from studying large scale corporate MaaS in practice	38
A comparative analysis of the users of private cars and public transportation for intermodal options under Mobility-as-a-Service in Seoul	38
Public transit travel choice in the post COVID-19 pandemic era: An application of the extended Theory of Planned behavior	38

Examining public acceptance of autonomous mobility	36
Public transport users versus private vehicle users: Differences about quality of service, satisfaction and attitudes toward public transport in Madrid (Spain)	34
Determinants of children’s active travel to school: A case study in Hong Kong	33
How the built environment promotes public transportation in Wuhan: A multiscale geographically weighted regression analysis	32
A framework with efficient extraction and analysis of Twitter data for evaluating public opinions on transportation services	32
Factors influencing user behaviour in micromobility sharing systems: A systematic literature review and research directions	32
Travel behaviour changes under Work-from-home (WFH) arrangements during COVID-19	32
Urban greenery, active school transport, and body weight among Hong Kong children	32
Understanding the determinants of young commuters’ metro-bikeshare usage frequency using big data	32