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A Random Effect Bayesian Neural Network (RE-BNN) for travel mode choice analysis across multiple regions
16 references·8 citing·46 second hop
A Random Effect Bayesian Neural Network (RE-BNN) for travel mode choice analysis across multiple regions (2022)A Random Effect Bayesian Neural Network (…Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)Prediction and behavioral ana…Applying a random forest method approach to model travel mode choice behavior (2018)Applying a random forest meth…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…A comparative study of machine learning classifiers for modeling travel mode choice (2017)A comparative study of machin…Travel and the Built Environment (2010)Travel and the Built Environm…The role of attitudes toward characteristics of bicycle commuting on the choice to cycle to work over various distances (2010)The role of attitudes toward …A basic introduction to fixed-effect and random-effects models for meta-analysis (2010)A basic introduction to fixed…Attitude-Based Target Groups to Reduce the Ecological Impact of Daily Mobility Behavior (2008)Attitude-Based Target Groups …Role of the built environment on mode choice decisions: additional evidence on the impact of density (2007)Role of the built environment…The effects of attitudes and personality traits on mode choice (2005)The effects of attitudes and …The Mixed Logit model: The state of practice (2003)The Mixed Logit model: The st…Forecasting new product penetration with flexible substitution patterns (1998)Forecasting new product penet…The theory of planned behavior (1991)The theory of planned behaviorDiscrete choice analysis: Theory and application to travel demand (1988)Discrete choice analysis: The…The Choice Theory Approach to Market Research (1986)The Choice Theory Approach to…Econometric Models of Probabilistic Choice (1981)Econometric Models of Probabi…Understanding travel behavior and mode choice prediction for university commuters: insights from discrete choice models and machine learning (2025)Understanding travel behavior…The influence of rural built environment on residents' non-commuting travel mode choices (2025)The influence of rural built …Machine learning in travel mode choice studies: A systematic literature review of applications, methods, and challenges (2025)Machine learning in travel mo…Investigating the factors influencing intercity travel mode choice in urban agglomerations: Insights from a three-phase framework (2025)Investigating the factors inf…Application of Artificial Neural Networks (ANN) in Investigating Travel Mode Choice: A Case Study of Langsa-Penang Passenger Ferry (2025)Application of Artificial Neu…Discrete Choice Models and Artificial Intelligence Techniques for Predicting the Determinants of Transport Mode Choice—A Systematic Review (2024)Discrete Choice Models and Ar…Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization (2024)Deep neural networks for choi…Joint prediction of travel mode choice and purpose from travel surveys: A multitask deep learning approach (2023)Joint prediction of travel mo…Mixed MNL models for discrete response (2000)Discrete Choice Methods with Simulation (2001)Discrete Choice Methods with Simulation (2003)Applications of Simulation Methods in Environmental and Resource Economics (2005)Where do cyclists ride? A route choice model developed with revealed preference GPS data (2012)Contemporary Guidance for Stated Preference Studies (2017)Coefficient Alpha and the Internal Structure of Tests (1951)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Self-efficacy: Toward a unifying theory of behavioral change. 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Examining non-linear effects of streetscape greenery on walking propensity of older adults (2021)Measuring Accessibility: An Exploration of Issues and Alternatives (1997)Understanding Social Preferences with Simple Tests (2002)Group Identity and Social Preferences (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)Experience-weighted Attraction Learning in Normal Form Games (1999)UrbanSim: Modeling Urban Development for Land Use, Transportation, and Environmental Planning (2002)Statistical Methods for the Analysis of Discrete Choice Experiments: A Report of the ISPOR Conjoint Analysis Good Research Practices Task Force (2016)
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References

  • 1991The theory of planned behavior90,729 cited
  • 2010A basic introduction to fixed-effect and random-effects models for meta-analysis6,786 cited
  • 2010Travel and the Built Environment5,396 cited
  • 1988Discrete choice analysis: Theory and application to travel demand3,257 cited
  • 1981Econometric Models of Probabilistic Choice2,052 cited
  • 2003The Mixed Logit model: The state of practice2,044 cited
  • 1986The Choice Theory Approach to Market Research1,307 cited
  • 1998Forecasting new product penetration with flexible substitution patterns852 cited
  • 2005The effects of attitudes and personality traits on mode choice576 cited
  • 2018Applying a random forest method approach to model travel mode choice behavior491 cited
  • 2010The role of attitudes toward characteristics of bicycle commuting on the choice to cycle to work over various distances423 cited
  • 2017A comparative study of machine learning classifiers for modeling travel mode choice423 cited
  • 2020Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models406 cited
  • 2017Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance386 cited

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2007
Role of the built environment on mode choice decisions: additional evidence on the impact of density
345 cited
  • 2008Attitude-Based Target Groups to Reduce the Ecological Impact of Daily Mobility Behavior218 cited
  • Cited by

    • 2023Joint prediction of travel mode choice and purpose from travel surveys: A multitask deep learning approach26 cited
    • 2025Investigating the factors influencing intercity travel mode choice in urban agglomerations: Insights from a three-phase framework20 cited
    • 2024Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization17 cited
    • 2024Discrete Choice Models and Artificial Intelligence Techniques for Predicting the Determinants of Transport Mode Choice—A Systematic Review13 cited
    • 2025The influence of rural built environment on residents' non-commuting travel mode choices9 cited
    • 2025Machine learning in travel mode choice studies: A systematic literature review of applications, methods, and challenges9 cited
    • 2025Application of Artificial Neural Networks (ANN) in Investigating Travel Mode Choice: A Case Study of Langsa-Penang Passenger Ferry5 cited
    • 2025Understanding travel behavior and mode choice prediction for university commuters: insights from discrete choice models and machine learning5 cited