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Joint Analysis of the Commuting Departure Time and Travel Mode Choice: Role of the Built Environment
16 references·9 citing·42 second hop
Joint Analysis of the Commuting Departure Time and Travel Mode Choice: Role of the Built Environment (2018)Joint Analysis of the Commuting Departure…Sustainable station-level planning: An integrated transport and land use design model for transit-oriented development (2017)Sustainable station-level pla…Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance (2017)Exploring the influence of bu…Understanding commuting patterns using transit smart card data (2016)Understanding commuting patte…Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city (2016)Factors affecting car ownersh…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…How do built-environment factors affect travel behavior? A spatial analysis at different geographic scales (2013)How do built-environment fact…Reducing car use: changing attitudes or relocating? The influence of residential dissonance on travel behavior (2011)Reducing car use: changing at…Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions (2011)Modeling the choice continuum…A joint model for vehicle type and fuel type choice: evidence from a cross-nested logit study (2011)A joint model for vehicle typ…Travel and the Built Environment (2010)Travel and the Built Environm…The influence of built environment to the trends in commuting journeys in the Netherlands (2007)The influence of built enviro…Role of the built environment on mode choice decisions: additional evidence on the impact of density (2007)Role of the built environment…A theoretical analysis of the cross-nested logit model (2006)A theoretical analysis of the…The generalized nested logit model (2001)The generalized nested logit …Analysis of travel mode and departure time choice for urban shopping trips (1998)Analysis of travel mode and d…The flexibility of departure times for work trips (1984)The flexibility of departure …Nonlinear effects of multilevel factors on public transport commuting in China’s cities (2025)Nonlinear effects of multilev…How is the urban built environment associated with commuting carbon emissions during the COVID-19 pandemic: A case study in Hangzhou, China (2025)How is the urban built enviro…Emission analysis of multi-mode public transportation based on joint choice model considering built environment factors (2024)Emission analysis of multi-mo…Spatial Heterogeneity in the Nonlinear Impact of Built Environment on Commuting Time of Active Users: A Gradient Boosting Regression Tree Approach (2023)Spatial Heterogeneity in the …Effects of Individual and Built Environmental Features on Commuting Mode Shifts before and after the COVID‐19 Outbreak in Guangzhou, China (2023)Effects of Individual and Bui…Assessing impacts of the built environment on mobility: A joint choice model of travel mode and duration (2023)Assessing impacts of the buil…How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO2 Emissions? An Empirical Study of Nanjing, China (2022)How Does Perceived Neighborho…Hybrid Bayesian Network Models to Investigate the Impact of Built Environment Experience before Adulthood on Students’ Tolerable Travel Time to Campus: Towards Sustainable Commute Behavior (2021)Hybrid Bayesian Network Model…A Customized Deep Neural Network Approach to Investigate Travel Mode Choice with Interpretable Utility Information (2020)A Customized Deep Neural Netw…Smart card data use in public transit: A literature review (2011)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)Travel demand and the 3Ds: Density, diversity, and design (1997)Travel and the Built Environment: A Synthesis (2001)How the built environment affects physical activity (2002)Fourteen pathways between urban transportation and health: A conceptual model and literature review (2021)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)MODELING THE CHOICE OF RESIDENTIAL LOCATION (1978)THE SCHEDULING OF CONSUMER ACTIVITIES: WORK TRIPS (1982)Discrete Choice Analysis (1985)A mixed spatially correlated logit model: formulation and application to residential choice modeling (2003)Modeling time-dependent travel choice problems in road networks with multiple user classes and multiple parking facilities (2005)Machine Learning Travel Mode Choices: Comparing the Performance of an Extreme Gradient Boosting Model with a Multinomial Logit Model (2018)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning (2002)Correlation or causality between the built environment and travel behavior? Evidence from Northern California (2005)Residential mobility and location choice: a nested logit model with sampling of alternatives (2010)The role of location in residential location choice models: a review of literature (2014)Limited-dependent and qualitative variables in econometrics (1983)Built environmental impacts on commuting mode choice and distance: Evidence from Shanghai (2016)The Urban Transportation Problem (1965)On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit (1977)Accommodating flexible substitution patterns in multi-dimensional choice modeling: formulation and application to travel mode and departure time choice (1998)Existence, Uniqueness, and Trip Cost Function Properties of User Equilibrium in the Bottleneck Model with Multiple User Classes (2004)Conditional logit analysis of qualitative choice behavior (1972)Choice set generation within the generalized extreme value family of discrete choice models (2001)Multilateral resistance to migration (2012)Statistical Methods for Meta-Analysis (1988)Introduction to Meta‐Analysis (2009)Role of Built Environments in Physical Activity, Obesity, and Cardiovascular Disease (2012)City planning and population health: a global challenge (2016)Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities (2021)Introduction to Meta‐Analysis (2021)Multiple Attribute Decision Making: Methods and Applications (1981)Lockdowned: Everyday mobility changes in response to COVID-19 (2020)The impacts of COVID-19 pandemic on public transit demand in the United States (2020)Principles and Practice of Structural Equation Modeling (1998)Principles and Practice of Structural Equation Modeling (2012)Synergistic effects of the built environment and commuting programs on commute mode choice (2018)Predicting the travel mode choice with interpretable machine learning techniques: A comparative study (2022)
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References

  • 2010Travel and the Built Environment5,396 cited
  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2001The generalized nested logit model527 cited
  • 2017Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance386 cited
  • 2016Understanding commuting patterns using transit smart card data351 cited
  • 2007Role of the built environment on mode choice decisions: additional evidence on the impact of density345 cited
  • 1984The flexibility of departure times for work trips248 cited
  • 2013How do built-environment factors affect travel behavior? A spatial analysis at different geographic scales245 cited
  • 2011Modeling the choice continuum: an integrated model of residential location, auto ownership, bicycle ownership, and commute tour mode choice decisions225 cited
  • 1998Analysis of travel mode and departure time choice for urban shopping trips223 cited
  • 2011Reducing car use: changing attitudes or relocating? The influence of residential dissonance on travel behavior210 cited
  • 2016Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city204 cited
  • 2007The influence of built environment to the trends in commuting journeys in the Netherlands171 cited
  • 2006A theoretical analysis of the cross-nested logit model

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166 cited
  • 2011A joint model for vehicle type and fuel type choice: evidence from a cross-nested logit study148 cited
  • 2017Sustainable station-level planning: An integrated transport and land use design model for transit-oriented development123 cited
  • Cited by

    • 2020A Customized Deep Neural Network Approach to Investigate Travel Mode Choice with Interpretable Utility Information16 cited
    • 2023Spatial Heterogeneity in the Nonlinear Impact of Built Environment on Commuting Time of Active Users: A Gradient Boosting Regression Tree Approach15 cited
    • 2021Hybrid Bayesian Network Models to Investigate the Impact of Built Environment Experience before Adulthood on Students’ Tolerable Travel Time to Campus: Towards Sustainable Commute Behavior15 cited
    • 2024Emission analysis of multi-mode public transportation based on joint choice model considering built environment factors14 cited
    • 2022How Does Perceived Neighborhood Environment Affect Commuting Mode Choice and Commuting CO2 Emissions? An Empirical Study of Nanjing, China12 cited
    • 2025Nonlinear effects of multilevel factors on public transport commuting in China’s cities8 cited
    • 2023Assessing impacts of the built environment on mobility: A joint choice model of travel mode and duration8 cited
    • 2023Effects of Individual and Built Environmental Features on Commuting Mode Shifts before and after the COVID‐19 Outbreak in Guangzhou, China6 cited
    • 2025How is the urban built environment associated with commuting carbon emissions during the COVID-19 pandemic: A case study in Hangzhou, China5 cited