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Exploring Travel Mode Preference of External Trips for Smart City Transportation Planning: Sejong, Korea
16 references·1 citing·39 second hop
Exploring Travel Mode Preference of External Trips for Smart City Transportation Planning: Sejong, Korea (2022)Exploring Travel Mode Preference of Exter…Active mobility in an Italian city: Mode choice determinants and attitudes before and during the Covid-19 emergency (2021)Active mobility in an Italian…Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)Prediction and behavioral ana…How Have Travelers Changed Mode Choices for First/Last Mile Trips after the Introduction of Bicycle-Sharing Systems: An Empirical Study in Beijing, China (2019)How Have Travelers Changed Mo…Travel mode choices in small cities of China: A case study of Changting (2018)Travel mode choices in small …Machine Learning Travel Mode Choices: Comparing the Performance of an Extreme Gradient Boosting Model with a Multinomial Logit Model (2018)Machine Learning Travel Mode …Exploring factors associated with commute mode choice: An application of city-level general social survey data (2018)Exploring factors associated …Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling (2018)Comparison of Four Types of A…Analysis of mode choice for intercity travel: Application of a hybrid choice model to two distinct US corridors (2018)Analysis of mode choice for i…Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city (2016)Factors affecting car ownersh…Elderly travel frequencies and transport mode choices in Greater Rotterdam, the Netherlands (2016)Elderly travel frequencies an…Built environment and mode choice relationship for commute travel in the city of Rajkot, India (2016)Built environment and mode ch…Latent class model or mixed logit model? A comparison by transport mode choice data (2009)Latent class model or mixed l…Accounting for heterogeneity in the variance of unobserved effects in mixed logit models (2005)Accounting for heterogeneity …The Mixed Logit model: The state of practice (2003)The Mixed Logit model: The st…Stated Choice Methods (2000)Stated Choice MethodsConditional logit analysis of qualitative choice behavior (1972)Conditional logit analysis of…Kampala land passengers transportation planning: Examining consumer behavior through a bottom-up lens (2024)Kampala land passengers trans…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)Stated choice methods analysis and applications (2000)Revealing additional dimensions of preference heterogeneity in a latent class mixed multinomial logit model (2012)Enhancing discrete choice models with representation learning (2020)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. (1987)Travel demand and the 3Ds: Density, diversity, and design (1997)Travel and the Built Environment (2010)Joint analysis of the spatial impacts of built environment on car ownership and travel mode choice (2016)Towards a cycling-friendly city: An updated review of the associations between built environment and cycling behaviors (2007–2017) (2019)Revisiting car dependency: A worldwide analysis of car travel in global metropolitan areas (2021)Discrete choice methods with simulation (2004)Examining the effects of the built environment and residential self-selection on commuting trips and the related CO 2 emissions: An empirical study in Guangzhou, China (2017)Synergistic effects of the built environment and commuting programs on commute mode choice (2018)Nonlinear effect of accessibility on car ownership in Beijing: Pedestrian-scale neighborhood planning (2020)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)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Macroeconomics and Reality (1980)Estimation on stated-preference experiments constructed from revealed-preference choices (2007)Willingness to Pay for Rural Landscape Improvements: Combining Mixed Logit and Random‐Effects Models (2007)Choice experiments in health: the good, the bad, the ugly and toward a brighter future (2009)Incentive and informational properties of preference questions (2007)Validating vignette and conjoint survey experiments against real-world behavior (2015)Examining non-linear built environment effects on elderly’s walking: A random forest approach (2020)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)
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References

  • 1972Conditional logit analysis of qualitative choice behavior14,281 cited
  • 2000Stated Choice Methods3,818 cited
  • 2003The Mixed Logit model: The state of practice2,044 cited
  • 2020Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models406 cited
  • 2005Accounting for heterogeneity in the variance of unobserved effects in mixed logit models235 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
  • 2016Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city204 cited
  • 2016Built environment and mode choice relationship for commute travel in the city of Rajkot, India177 cited
  • 2018Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling174 cited
  • 2021Active mobility in an Italian city: Mode choice determinants and attitudes before and during the Covid-19 emergency127 cited
  • 2018Exploring factors associated with commute mode choice: An application of city-level general social survey data118 cited

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2018
Analysis of mode choice for intercity travel: Application of a hybrid choice model to two distinct US corridors
113 cited
  • 2019How Have Travelers Changed Mode Choices for First/Last Mile Trips after the Introduction of Bicycle-Sharing Systems: An Empirical Study in Beijing, China90 cited
  • 2018Travel mode choices in small cities of China: A case study of Changting77 cited
  • Cited by

    • 2024Kampala land passengers transportation planning: Examining consumer behavior through a bottom-up lens7 cited