Travel Behaviour and Society

Papers
(The TQCC of Travel Behaviour and Society is 13. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models182
Dockless E-scooter usage patterns and urban built Environments: A comparison study of Austin, TX, and Minneapolis, MN152
COVID-19, activity and mobility patterns in Bogotá. Are we ready for a ‘15-minute city’?88
Commute satisfaction, neighborhood satisfaction, and housing satisfaction as predictors of subjective well-being and indicators of urban livability86
Ready for Mobility as a Service? Insights from stakeholders and end-users74
Future implementation of mobility as a service (MaaS): Results of an international Delphi study66
Why travelers trust and accept self-driving cars: An empirical study56
The role of habit and the built environment in the willingness to commute by bicycle53
Relationships of the multi-scale built environment with active commuting, body mass index, and life satisfaction in China: A GSEM-based analysis51
Spatial accessibility assessment of COVID-19 patients to healthcare facilities: A case study of Florida51
A big data approach to understanding pedestrian route choice preferences: Evidence from San Francisco50
Who are the potential users of shared e-scooters? An examination of socio-demographic, attitudinal and environmental factors49
Creation of mobility packages based on the MaaS concept48
Modelling work- and non-work-based trip patterns during transition to lockdown period of COVID-19 pandemic in India47
Who is interested in a crowdsourced last mile? A segmentation of attitudinal profiles45
An exploratory investigation of public perceptions towards key benefits and concerns from the future use of flying cars43
Personal and societal impacts of motorcycle ban policy on motorcyclists’ home-to-work morning commute in China41
Measuring spatial mismatch and job access inequity based on transit-based job accessibility for poor job seekers41
Long commutes and transport inequity in China’s growing megacity: New evidence from Beijing using mobile phone data40
Investigating heterogeneity in preferences for Mobility-as-a-Service plans through a latent class choice model40
Predicting the travel mode choice with interpretable machine learning techniques: A comparative study39
Young people's perceived service quality and environmental performance of hybrid electric bus service39
Perception of the built environment and walking in pericentral neighbourhoods in Santiago, Chile38
Understanding user practices in mobility service systems: Results from studying large scale corporate MaaS in practice38
Factors influencing consumer acceptance of vehicle-to-grid by electric vehicle drivers in the Netherlands38
Impacts of personalized accessibility information on residential location choice and travel behavior38
Understanding electric bike riders’ intention to violate traffic rules and accident proneness in China37
Public transit travel choice in the post COVID-19 pandemic era: An application of the extended Theory of Planned behavior36
A comparative analysis of the users of private cars and public transportation for intermodal options under Mobility-as-a-Service in Seoul35
Examining public acceptance of autonomous mobility35
Investigating day-to-day variability of transit usage on a multimonth scale with smart card data. A case study in Lyon34
The impact of shared mobility on trip generation behavior in the US: Findings from the 2017 National Household Travel Survey34
Exploring rider satisfaction with arterial BRT: An application of impact asymmetry analysis34
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 Kong33
Who travels more, and why? A mixed-method study of urban dwellers’ leisure travel32
A framework with efficient extraction and analysis of Twitter data for evaluating public opinions on transportation services32
Urban greenery, active school transport, and body weight among Hong Kong children31
Factors influencing user behaviour in micromobility sharing systems: A systematic literature review and research directions31
Understanding the determinants of young commuters’ metro-bikeshare usage frequency using big data31
Modeling the desire for using public transport31
Travel behaviour changes under Work-from-home (WFH) arrangements during COVID-1930
Aged mobility in the era of transportation disruption: Will autonomous vehicles address impediments to the mobility of ageing populations?30
A Revealed Preference Methodology to Evaluate Regret Minimization with Challenging Choice Sets: A Wildfire Evacuation Case Study29
How the built environment promotes public transportation in Wuhan: A multiscale geographically weighted regression analysis29
Trends in air travel inequality in the UK: From the few to the many?29
Keeping kids safe for active travel to school: A mixed method examination of school policies and practices and children’s school travel behaviour28
The influence of travel attitudes on perceived walking accessibility and walking behaviour28
Are travellers willing to adopt MaaS? Exploring attitudinal and personality factors in the case of Madrid, Spain28
Travellers’ willingness to share rides in autonomous mobility on demand systems depending on travel distance and detour27
What drives the utility of shared transport services for urban travellers? A stated preference survey in German cities27
The formation of passenger loyalty: Differences between ride-hailing and traditional taxi services27
Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction26
Online grocery shopping for the elderly in Quebec, Canada: The role of mobility impediments and past online shopping experience26
A text mining approach to elicit public perception of bike-sharing systems26
Red light running behavior of bicyclists in urban area: Effects of bicycle type and bicycle group size25
Identifying latent shared mobility preference segments in low-income communities: Ride-hailing, fixed-route bus, and mobility-on-demand transit25
Is high-speed rail socially exclusive? An evidence-based worldwide analysis24
Does real-time and perceived environmental exposure to air pollution and noise affect travel satisfaction? evidence from Beijing, China23
Time use and spatial influence on transport-related social exclusion, and mental and social health23
Why individuals choose dockless bike sharing services?23
User interest in on-demand, shared, and driverless mobility: Evidence from stated preference choice experiments in Southern Ontario22
Does flying less harm academic work? Arguments and assumptions about reducing air travel in academia21
Hybrid methodology for improving response rates and data quality in mobility surveys21
Investigating the motivation for pedestrians’ risky crossing behaviour at urban mid-block road sections21
Use of app-based ridehailing services and conventional taxicabs by adults with disabilities21
What role does free-floating car sharing play for changes in car ownership? Evidence from longitudinal survey data and population segments in Copenhagen21
Climate change concern and the desire to travel: How do I justify my flights?21
Hierarchical process of travel mode imputation from GPS data in a motorcycle-dependent area20
Does heavy ICT usage contribute to the adoption of ride-hailing app?20
Analysis of travel characteristics and access mode choice of elderly urban rail riders in Denver, Colorado20
Mode choice and mode commitment in commuters20
Electric bike navigation behaviour in pedestrian crowds20
China’s millennial car travelers’ mode shift responses under congestion pricing and reward policies: A case study in Beijing20
Understanding acceptance of shared autonomous vehicles among people with different mobility and communication needs20
Exploring the asymmetric influences of stop attributes on rider satisfaction with bus stops20
Research on parking app choice behavior based on MNL20
Taking the bus? Barriers and facilitators for adolescent use of public buses to school20
Systematic review of the association between commuting, subjective wellbeing and mental health19
Who will want to use shared autonomous vehicle service and how much? A consumer experiment in South Korea19
Accessibility to opportunities based on public transport gps-monitored data: The case of Santiago, Chile19
Exploring year-to-year changes in station-based bike sharing commuter behaviors with smart card data19
Eliciting preferences of TNC users and drivers: Evidence from the United States19
How much dissatisfaction is too much for transit? Linking transit user satisfaction and loyalty using panel data19
Development of socially sustainable transport research: A bibliometric and visualization analysis19
Ride-hailing, a new mode to commute? Evidence from Tehran, Iran19
An analysis of tripadvisor reviews of 127 urban rail transit networks worldwide19
Towards an electric scooter level of service: A review and framework19
Influence of actual and perceived risks in selecting crossing facilities by pedestrians18
Travel time and bounded rationality in travellers’ route choice behaviour: A computer route choice experiment18
Integrating plug-in electric vehicles (PEVs) into household fleets- factors influencing miles traveled by PEV owners in California18
Impacts of telecommuting on time use and travel: A case study of a neighborhood telecommuting center in Stockholm18
Measuring the perceived need for motorcycle-based ride-hailing services on trip characteristics among university students in Yogyakarta, Indonesia18
Exploring the factors influencing the use of public transport by commuters living in networks of small cities and towns17
Traffic signal optimisation in disrupted networks, to improve resilience and sustainability17
Who you are determines how you travel: Clustering human activity patterns with a Markov-chain-based mixture model17
Did high-speed rail affect the entry of automobile industry start-ups? Empirical evidence from Guangdong Province, China17
Agent-based simulation of hindering effect of small group behavior on elevated interval evacuation time along urban rail transit17
Investigation of factors and their dynamic effects on intercity travel modes competition17
Associations among perceived built environment, attitudes, walking behavior, and physical and mental state of college students during COVID-1917
How do the characteristics of bike lanes influence safety perception and the intention to use cycling as a feeder mode to BRT?16
Spatial behavior of cancer care utilization in distance decay in the Northeast region of the U.S.16
Not my usual trip: Ride-hailing characterization in Mexico City16
Explaining the spread of online taxi services in Semarang, Bogor and Bandung, Indonesia; a discrete choice analysis16
Measuring the dynamic evolution of road network vulnerability to floods: A case study of Wuhan, China16
“Desperately Need a Car”: Analyzing crowdfunding campaigns for car purchases and repairs on Gofundme.com16
Does commute duration attenuate the effect of travel mode choice on commute satisfaction?16
Crowd characterization for crowd management using social media data in city events16
Modeling drivers’ scrambling behavior in China: An application of theory of planned behavior16
What makes consumers reuse ride-hailing services? An investigation of Egyptian consumers’ attitudes towards ride-hailing apps15
Persuasion profiles to promote pedestrianism: Effective targeting of active travel messages15
In-store or online grocery shopping before and during the COVID-19 pandemic15
Impact of road features on shared e-scooter trip volume: A study based on multiple membership multilevel model15
Identifying the factors influencing the choice of different ride-hailing services in Shenzhen, China15
Social media effects on sustainable mobility opinion diffusion: Model framework and implications for behavior change15
Effect of London cycle hire scheme on bicycle safety14
What prompts tourists to become public transportation users at their destination? The case of a Mediterranean city14
Using ‘Big Data’ to understand the impacts of Uber on taxis in New York City14
Gender difference in commuting travel: A comparative study of suburban residents in Beijing and Shanghai14
Towards a mobility transition? Understanding the environmental impact of Millennials and Baby Boomers in Europe14
Using big data for last mile performance evaluation: An accessibility-based approach14
Getting in the path of the robot: Pedestrians acceptance of crossing roads near fully automated vehicles14
A systematic literature review of Mobility as a Service: Examining the socio-technical factors in MaaS adoption and bundling packages14
Understanding the potential of MaaS – An European survey on attitudes14
Long-term impacts of COVID-19 pandemic on travel behaviour14
The decision to start commuting by bicycle in Bogotá, Colombia: Motivations and influences14
Predictors of public transport use among university students during the winter: A MIMIC modelling approach14
Association between built environment characteristics and metro usage at station level with a big data approach14
Traditional taxis vs automated taxis – Does the driver matter for Millennials?14
Car driving, air travel or more sustainable transport? Socio-psychological factors in everyday mobility and long-distance leisure travel13
Gender differences in the user satisfaction and service quality improvement priority of public transit bus system in Porto Alegre and Fortaleza, Brazil13
Quantifying the impact of weather on ride-hailing ridership: Evidence from Haikou, China13
Surveying and analysing mode and route choices in Switzerland 2010–201513
Impacts of the walking environment on mode and departure time shifts in response to travel time change: Case study in the multi-layered Hong Kong metropolis13
The role of numeracy and financial literacy skills in the relationship between information and communication technology use and travel behaviour13
The job of public transport, ride-hailing and delivery drivers: Conditions during the COVID-19 pandemic and implications for a post-pandemic future13
Free-floating carsharing users’ willingness-to-pay/accept for logistics management mechanisms13
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