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Modeling the Behavior in Choosing the Travel Mode for Long-Distance Travel Using Supervised Machine Learning Algorithms
16 references·1 citing·40 second hop
Modeling the Behavior in Choosing the Travel Mode for Long-Distance Travel Using Supervised Machine Learning Algorithms (2022)Modeling the Behavior in Choosing the Tra…Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)Prediction and behavioral ana…Machine Learning Travel Mode Choices: Comparing the Performance of an Extreme Gradient Boosting Model with a Multinomial Logit Model (2018)Machine Learning Travel Mode …Applying a random forest method approach to model travel mode choice behavior (2018)Applying a random forest meth…Airline itinerary choice modeling using machine learning (2018)Airline itinerary choice mode…Modeling travel mode and timing decisions: Comparison of artificial neural networks and copula-based joint model (2017)Modeling travel mode and timi…Mode Choice Model for Public Transport with Categorized Latent Variables (2017)Mode Choice Model for Public …Beyond prediction: Using big data for policy problems (2017)Beyond prediction: Using big …A comparative study of machine learning classifiers for modeling travel mode choice (2017)A comparative study of machin…Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands (2016)Elderly travel frequencies an…Predicting Travel Mode of Individuals by Machine Learning (2015)Predicting Travel Mode of Ind…Mode Choice Behavior of Commuters in Thiruvananthapuram City (2012)Mode Choice Behavior of Commu…Latent class model or mixed logit model? A comparison by transport mode choice data (2009)Latent class model or mixed l…Recent Evidence on Car Cost and Time Elasticities of Travel Demand in Europe (2001)Recent Evidence on Car Cost a…Mode choices for trips to work in Geneva: an empirical analysis (2000)Mode choices for trips to wor…A disaggregate Box-Cox Logit mode choice model of intercity passenger travel in Germany and its implications for high-speed rail demand forecasts (1997)A disaggregate Box-Cox Logit …Conditional logit analysis of qualitative choice behavior (1972)Conditional logit analysis of…Machine learning in travel mode choice studies: A systematic literature review of applications, methods, and challenges (2025)Machine learning in travel mo…A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice (2000)Work Travel Mode Choice Modeling with Data Mining: Decision Trees and Neural Networks (2003)Logistics Innovation and Social Sustainability: How to Prevent an Artificial Divide in Human–Computer Interaction (2019)Deep neural networks for choice analysis: Extracting complete economic information for interpretation (2020)Enhancing discrete choice models with representation learning (2020)A Theory of the Allocation of Time (1965)A Theory of the Economics of Time (1971)Economics and Consumer Behavior (1980)Managing Urban Traffic Congestion (2007)A weighted logit freight mode-choice model (2009)Review and meta-analysis of U.K. time elasticities of travel demand (2011)Mixed MNL models for discrete response (2000)Stated choice methods analysis and applications (2000)Discrete Choice Methods with Simulation (2001)Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model (2012)Choice modelling in the age of machine learning - Discussion paper (2021)Econometric Analysis of Cross Section and Panel Data (2001)Quality of life for the elderly: the transport dimension (2004)Impact of Everyday Weather on Individual Daily Travel Behaviours in Perspective: A Literature Review (2012)Natural and built environmental exposures on children's active school travel: A Dutch global positioning system-based cross-sectional study (2016)Weather, transport mode choices and emotional travel experiences (2016)Impacts of disability on daily travel behaviour: A systematic review (2022)Discrete Choice Analysis: Theory and Application to Travel Demand. 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Sample size requirements when using artificial neural networks for discrete choice analysis (2018)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)Discrete choice analysis: Theory and application to travel demand (1988)A systematic review of machine learning classification methodologies for modelling passenger mode choice (2020)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Predicting the travel mode choice with interpretable machine learning techniques: A comparative study (2022)On the measurement of inequality (1970)Built environments and mode choice: toward a normative framework (2002)The effects of attitudes and personality traits on mode choice (2005)Examining non-linear built environment effects on elderly’s walking: A random forest approach (2020)To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults (2021)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Macroeconomics and Reality (1980)Co-Production and Co-Creation (2018)Unleashing the convergence amid digitalization and sustainability towards pursuing the Sustainable Development Goals (SDGs): A holistic review (2020)Artificial intelligence and illusions of understanding in scientific research (2024)
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References

  • 1972Conditional logit analysis of qualitative choice behavior14,281 cited
  • 2017Beyond prediction: Using big data for policy problems575 cited
  • 2018Applying a random forest method approach to model travel mode choice behavior491 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
  • 2009Latent class model or mixed logit model? A comparison by transport mode choice data230 cited
  • 2016Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands214 cited
  • 2018Machine Learning Travel Mode Choices: Comparing the Performance of an Extreme Gradient Boosting Model with a Multinomial Logit Model214 cited
  • 2001Recent Evidence on Car Cost and Time Elasticities of Travel Demand in Europe158 cited
  • 2015Predicting Travel Mode of Individuals by Machine Learning149 cited
  • 2017Modeling travel mode and timing decisions: Comparison of artificial neural networks and copula-based joint model115 cited
  • 2018Airline itinerary choice modeling using machine learning114 cited
  • 2000Mode choices for trips to work in Geneva: an empirical analysis111 cited
  • 2012Mode Choice Behavior of Commuters in Thiruvananthapuram City

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91 cited
  • 2017Mode Choice Model for Public Transport with Categorized Latent Variables75 cited
  • 1997A disaggregate Box-Cox Logit mode choice model of intercity passenger travel in Germany and its implications for high-speed rail demand forecasts72 cited
  • Cited by

    • 2025Machine learning in travel mode choice studies: A systematic literature review of applications, methods, and challenges9 cited