OOIR: Observatory of International Research

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 2021-04-01 to 2025-04-01.)

Article	Citations
Evaluating multimodal transportation’s impact on city attractiveness: A machine learning approach	118
Comparative analysis of nonlinear impacts on the built environment within station areas with different metro ridership segments	82
Rating the composition: Deconstructing the demand-side effects on transit use changes in California	81
Modelling car ownership dynamics based on irregularly spaced panel data	79
Editorial Board	75
A novel approach to the investigation and quantification of the stop/start process for pedestrian traffic using motion capture devices	72
The impact of COVID-19 on travel mobility of older passengers on Xi'an urban rail in China	64
Shopping trips and deliveries then and now: How the behavioral shift differs by income level and urban size	63
Learning from user behavior: A survey-assist algorithm for longitudinal mobility data collection	62
Travel time variation and its impact on the elasticity of route choice model parameters	62
Perceived accessibility: How access to dockless bike-sharing impacts activity participation	62
The role of trust and distrust in technology usage: An in-depth investigation of traffic information apps usage for mandatory and non-mandatory trips	61
Exploring effects of introducing a ban on handheld phone use for cyclists – Pre-post results from the Netherlands and Denmark	60
Reactions of the public transport sector to the COVID-19 pandemic. Insights from Belgium	59
Multi-day activity pattern recognition based on semantic embeddings of activity chains	56
Gender differences in travel and everyday life: A data-driven approach to address the intersectional nature of gender as a social construct	55
Exploring the gap in people’s travel behavior between urban villages and commercial housing: The role of built environment	52
A copula-based approach for multi-modal demand dependence modeling: Temporal correlation between demand of subway and bike-sharing	51
Income and commute satisfaction: On the mediating roles of transport poverty and health conditions	50
Changes in commuting mode and the relationship with psychological stress: A quasi-longitudinal analysis in urbanizing China	50
Understanding high-speed rail users in the US – Environmental and sustainability perspectives	49
Unveiling substitution patterns of work trips by teleworking and their associations with physical and virtual accessibility in the Brazilian COVID-19 crisis	48
Residents’ online shopping behavior characteristics in China during COVID-19 pandemic: The case of Guangzhou	48
Incorporating children's views and perceptions about urban mobility: Implementation of the “philosophy with children” inquiry approach with young children	44
Does the squeaky wheel get the complaint? Linking bus performance, sociodemographic characteristics, and customer comments	43

The influence of residential location and public transit options on commuters’ intention to use travel apps for different travel purposes	43
Identifying critical urban intersections from a fine-grained spatio-temporal perspective	42
Rail Transit, for Who? perceptions and factors influencing light rail ridership in Charlotte, NC	40
Do they work? Exploring possible potentials of neighbourhood Telecommuting centres in supporting sustainable travel	39
Assessing traveler compliance with the social optimum: A stated preference study	39
Understanding the attitudes of travelers towards incentive-based travel demand management strategies in Suzhou, China	37
Nowhere to go – Effects on elderly's travel during Covid-19	37
The emergency accessibility analysis based on traffic big data and flood scenario simulation in the context of Shanghai hotel industry	36
Modelling and accelerating the passenger evacuation process in a bi-modal system with bus and e-hailing modes after mass gathering events	35
An evaluation of on-demand transit user and interested-non-user characteristics and the factors that attract the transit-curious to using on-demand transit	34
Rainfall impacts on urban route choices by private vehicle users: insights from São Paulo, Brazil	34