Travel Behaviour and Society

Papers
(The TQCC of Travel Behaviour and Society is 9. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
How do the characteristics of bike lanes influence safety perception and the intention to use cycling as a feeder mode to BRT?100
Rail Transit, for Who? perceptions and factors influencing light rail ridership in Charlotte, NC67
Joint analysis of mode and travel-based multitasking choices in Mumbai, India62
Recent latinx immigrants to Miami-Dade County, Florida: Characterization of pre- and post-immigration travel60
Rating the composition: Deconstructing the demand-side effects on transit use changes in California58
Editorial Board57
Modelling car ownership dynamics based on irregularly spaced panel data57
Factors associated with commute dissatisfaction and commute time dissonance: A sample selection modeling approach56
Assessing traveler compliance with the social optimum: A stated preference study54
A novel approach to the investigation and quantification of the stop/start process for pedestrian traffic using motion capture devices51
Understanding high-speed rail users in the US – Environmental and sustainability perspectives50
Residents’ online shopping behavior characteristics in China during COVID-19 pandemic: The case of Guangzhou49
The impact of COVID-19 on travel mobility of older passengers on Xi'an urban rail in China49
Understanding the attitudes of travelers towards incentive-based travel demand management strategies in Suzhou, China46
Modelling and accelerating the passenger evacuation process in a bi-modal system with bus and e-hailing modes after mass gathering events46
Mixed land use has opposite associations with subjective well-being through social capital: Spatial heterogeneity in residential and workplace neighborhoods46
The travel-related impacts of telecommuting: An active learning-based systematic review44
Shopping trips and deliveries then and now: How the behavioral shift differs by income level and urban size41
Exploring the gap in people’s travel behavior between urban villages and commercial housing: The role of built environment39
Learning from user behavior: A survey-assist algorithm for longitudinal mobility data collection39
Exploring the role of public transport information sources on perceived service quality in suburban rail38
Travel time variation and its impact on the elasticity of route choice model parameters37
Identifying critical urban intersections from a fine-grained spatio-temporal perspective36
Rainfall impacts on urban route choices by private vehicle users: insights from São Paulo, Brazil35
Changes in commuting mode and the relationship with psychological stress: A quasi-longitudinal analysis in urbanizing China34
Exploring effects of introducing a ban on handheld phone use for cyclists – Pre-post results from the Netherlands and Denmark33
Reactions of the public transport sector to the COVID-19 pandemic. Insights from Belgium32
Exploring the associations between E-shopping and the share of shopping trip frequency and travelled time over total daily travel demand32
Leisure activity variety seeking as an instrumental outcome of social capital31
Differential impacts of autonomous and connected-autonomous vehicles on household residential location30
The formation of passenger loyalty: Differences between ride-hailing and traditional taxi services29
Does the squeaky wheel get the complaint? Linking bus performance, sociodemographic characteristics, and customer comments28
Multi-day activity pattern recognition based on semantic embeddings of activity chains28
Evaluating public transport performance to guide public transport planning: A unified prior method28
Incorporating children's views and perceptions about urban mobility: Implementation of the “philosophy with children” inquiry approach with young children27
Investigating heterogeneity in preferences for Mobility-as-a-Service plans through a latent class choice model27
Reconstructing human activities via coupling mobile phone data with location-based social networks27
Unveiling substitution patterns of work trips by teleworking and their associations with physical and virtual accessibility in the Brazilian COVID-19 crisis26
Estimating short-term travel demand models that incorporate personally owned autonomous vehicles26
Daily trip making during the COVID-19 pandemic: A national survey of older adults in the United States26
Measurement of happiness of daily activity-travel schedules25
Determining causality in travel mode choice25
Gender differences in travel and everyday life: A data-driven approach to address the intersectional nature of gender as a social construct25
Understanding cyclists’ conflicts in the streets of a Latin American metropolis25
Impacts of the built environment on social capital in China: Mediating effects of commuting time and perceived neighborhood safety24
Editorial Board24
A Random Effect Bayesian Neural Network (RE-BNN) for travel mode choice analysis across multiple regions23
Are travellers willing to adopt MaaS? Exploring attitudinal and personality factors in the case of Madrid, Spain23
Unraveling the travel patterns of ride-hailing users: A latent class cluster analysis across income groups in Yogyakarta, Indonesia23
Understanding the potential of MaaS – An European survey on attitudes23
Analysis of user behavior in urban parking under different level of information scenarios provided by smart devices or connected cars23
The role of trust and distrust in technology usage: An in-depth investigation of traffic information apps usage for mandatory and non-mandatory trips22
To what extent does working from home lead to savings in commuting time? A panel analysis using the Australian HILDA Survey21
Social demographics imputation based on similarity in multi-dimensional activity-travel pattern: A two-step approach21
Accessible taxi routing strategy based on travel behavior of people with disabilities incorporating vehicle routing problem and Gaussian mixture model21
Upgrading in ride-sourcing markets with multi-class services21
Willingness-to-pay for shared automated mobility using an adaptive choice-based conjoint analysis during the COVID-19 period20
An evaluation of on-demand transit user and interested-non-user characteristics and the factors that attract the transit-curious to using on-demand transit20
The job of public transport, ride-hailing and delivery drivers: Conditions during the COVID-19 pandemic and implications for a post-pandemic future20
COVID-19, traffic demand, and activity restriction in China: A national assessment20
Nowhere to go – Effects on elderly's travel during Covid-1920
Environmental concern and the determinants of night train use: Evidence from Vienna (Austria)20
The impact of shared mobility on metro ridership: The non-linear effects of bike-sharing and ride-hailing services19
Large truck fatal crash severity segmentation and analysis incorporating all parties involved: A Bayesian network approach19
Motivators and barriers to the widespread adoption of electric four-wheelers in India – A discrete choice analysis of potential electric four-wheeler buyers19
Perceived accessibility: How access to dockless bike-sharing impacts activity participation18
What is significant for engagement in cycling and walking in South Korea? Applying value-belief-norm theory18
Revealing safety impact of bus stops on passenger-cyclist interactions – Evidence from Nanjing, China18
The relevance of social factors in sharing a trip with strangers: Creating travel communities in the autonomous vehicles era18
Decision-making in open carpooling programs: Perspectives of drivers versus passengers18
Social equity analysis of public transit accessibility to healthcare might be erroneous when travel time uncertainty impacts are overlooked18
Demand responsive transport: New insights from peri-urban experiences17
Stereotypes and the public acceptability of shared micromobility17
Understanding acceptance of shared autonomous vehicles among people with different mobility and communication needs17
Gender difference in commuting travel: A comparative study of suburban residents in Beijing and Shanghai16
Does real-time and perceived environmental exposure to air pollution and noise affect travel satisfaction? evidence from Beijing, China16
Travel behaviour changes under Work-from-home (WFH) arrangements during COVID-1916
Exploring year-to-year changes in station-based bike sharing commuter behaviors with smart card data16
The effects of the urban built environment on public transport ridership: similarities and differences16
Identifying the heterogeneous effects of road characteristics on Motorcycle-Involved crash severities16
Are men or women happier commuters? A study on the determinants of travel mode dissonance and travel satisfaction for dual-earner couples with school-age children in Ganyu, China16
Gender differences in the user satisfaction and service quality improvement priority of public transit bus system in Porto Alegre and Fortaleza, Brazil16
Long-distance travel in tension with everyday mobility of urbanites – A classification of leisure travellers16
Expected long-term impacts of the COVID-19 pandemic on travel behaviour and online activities: Evidence from a Czech panel survey16
Safety of walking trips accessing to public transportation: A Bayesian spatial model in Hong Kong15
Varying Built Environment Contexts and Trip Chain Decisions: A Multinomial-Choice Gradient Boosting Decision Trees Analysis15
Factors influencing consumer acceptance of vehicle-to-grid by electric vehicle drivers in the Netherlands15
Towards an electric scooter level of service: A review and framework15
Game theory applications in traffic management: A review of authority-based travel modelling15
Do they work? Exploring possible potentials of neighbourhood Telecommuting centres in supporting sustainable travel15
Does commute duration attenuate the effect of travel mode choice on commute satisfaction?15
Inequalities of extreme commuting across Canada14
Modeling evacuation activities amid compound hazards: Insights from hurricane Irma in Southeast Florida14
Income and commute satisfaction: On the mediating roles of transport poverty and health conditions14
The influence of residential location and public transit options on commuters’ intention to use travel apps for different travel purposes14
The emergency accessibility analysis based on traffic big data and flood scenario simulation in the context of Shanghai hotel industry14
Comparative analysis of nonlinear impacts on the built environment within station areas with different metro ridership segments14
Evaluating multimodal transportation’s impact on city attractiveness: A machine learning approach14
A copula-based approach for multi-modal demand dependence modeling: Temporal correlation between demand of subway and bike-sharing14
Investigating emotion fluctuations in driving behaviors of online car-hailing drivers using naturalistic driving data13
Association between built environment characteristics and metro usage at station level with a big data approach13
Competing or complimentary: Modeling transit ridership at route-level considering inter-route interdependencies13
Exploring the diversity of users of digital mobility services by developing personas – A case study of the Barcelona metropolitan area13
Exploring expectations and lived experiences of Low Traffic Neighbourhoods in Birmingham, UK13
What role does free-floating car sharing play for changes in car ownership? Evidence from longitudinal survey data and population segments in Copenhagen12
A systematic literature review of Mobility as a Service: Examining the socio-technical factors in MaaS adoption and bundling packages12
Campus commute mode choice in a college town: An application of the integrated choice and latent variable (ICLV) model12
Just because I’m a woman: Gender happiness gap in human mobility12
Integrated travel path guidance for metro-bikeshare users considering system operational budget costs using smart card data12
Toward a method for assessing the energy impacts of telecommuting based on time-use data12
Cars in Latin America: An exploration of the urban landscape and street network correlates of motorization in 300 cities12
Why do citizens not prefer to use e-scooters? Views of the public in the Netherlands12
Couples traveling together and long-haul truckers’ transport performance: A theory-based empirical test11
Influence of neighborhood walkability on older adults’ walking trips: Does income matter?11
Analyzing income-based inequality in transit nodal accessibility11
Age-proofing a traffic saturated metropolis – Evaluating the influences on walking behaviour in older adults in Ho Chi Minh City11
User characteristics and preferences for micromobility use in first- and last-mile journeys in Dublin, Ireland11
Examining the impact of station location on dockless bikesharing-metro integration: Evidence from Beijing11
How daily activities and built environment affect health? A latent segmentation-based random parameter logit modeling approach11
Designing pandemic resilient cities: Exploring the impacts of the built environment on infection risk perception and subjective well-being11
A deeper look at switching intention to electric moped: Magnitude vs Uncertainty11
Autonomous shuttle acceptance in an American suburban context: A revealed preference study in Lake Nona, Florida11
How do perceptions of safety and car ownership importance affect autonomous vehicle adoption?11
Mobility as a Service (MaaS) for university communities: Modeling preferences for integrated public transport bundles10
Understanding factors associated with individuals’ non-mandatory activities using machine learning and SHAP interpretation: A case study of Guangzhou, China10
Assessment of weather-driven travel behavior on a small-scale docked bike-sharing system usage10
Campus relocation as a natural experiment to investigate the determinants of commuting satisfaction10
Influence of childhood experiences on walking behavior during adulthood: Long-term panel data analysis10
Emotions as antecedents of sustainable travel behaviour10
Misinformation and misperception in the market for parking10
Acceptance of hyperloop: Developing a model for hyperloop acceptance based on an empirical study in the Netherlands10
The relationship between accessibility and land prices: A focus on accessibility to transit in the 15-min city10
The landscape of contemporary paratransit research: A critical systematic review of the literature in the US and Canada10
Habits and the subexploration of better transportation options: A dual-system approach10
Identifying profiles of ride-sourcing users in the Metro Vancouver Region for a better understanding of ride-sourcing behaviour10
Modeling package delivery acceptance in Crowdshipping systems by Public Transportation Passengers: A latent class approach9
Travel-based residential dissonance as a motivation for relocation: An analysis of movers in Germany9
A behavioural analysis of post-pandemic modality profiles for non-commuting trips in the greater Toronto Area9
Safety or efficiency? Estimating crossing motivations of intoxicated pedestrians by leveraging the inverse reinforcement learning9
Understanding short-distance travel to school in Singapore: A data-driven approach9
Editorial Board9
Investigating the recovery of For-Hire-Vehicle, Taxi, and AirTrain at two New York City airports during the COVID-19 pandemic9
Investigating pedestrian crossing route choice at mid-blocks without crossing facilities: The role of roadside environment9
Exploring the factors affecting women’s intention to drive in Saudi Arabia9
The effect of morning commutes on emotional exhaustion and task performance: Taking mental effort and cognitive appraisal into account9
Information and Communication Technologies (ICT), social media and (un)sustainable mobility9
Unveiling the roles of public bike systems: From leisure to multimodal transportation9
Are Mini and full-size electric vehicle adopters satisfied? An application of the regression with dummy variables9
Using drone technology to collect school transportation data9
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