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Estimating motorized travel mode choice using classifiers: An application for high-dimensional multicollinear data
16 references·12 citing·38 second hop
Estimating motorized travel mode choice using classifiers: An application for high-dimensional multicollinear data (2016)Estimating motorized travel mode choice u…Volatility of car ownership, commuting mode and time in the UK (2007)Volatility of car ownership, …Introduction to Data Mining (2007)Introduction to Data MiningAn exploration of the relationship between mode choice and complexity of trip chaining patterns (2006)An exploration of the relatio…A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels (2006)A comprehensive analysis of b…The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips (2005)The influence of socioeconomi…Work Travel Mode Choice Modeling with Data Mining: Decision Trees and Neural Networks (2003)Work Travel Mode Choice Model…Socioeconomics of Urban Travel: Evidence from the 2001 NHTS (2003)Socioeconomics of Urban Trave…The paired combinatorial logit model: properties, estimation and application (2000)The paired combinatorial logi…A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice (2000)A comparison of the predictiv…Examining Trip-Chaining Behavior: Comparison of Travel by Men and Women (1999)Examining Trip-Chaining Behav…A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)A micro-analysis of land use …Transportation, Congestion, and Density: New Insights (1996)Transportation, Congestion, a…Mixed land-uses and commuting: Evidence from the American Housing Survey (1996)Mixed land-uses and commuting…The Travel-Activity Patterns of Urban Residents: Dimensions and Relationships to Sociodemographic Characteristics (1981)The Travel-Activity Patterns …The measurement of urban travel demand (1974)The measurement of urban trav…STRUCTURE OF PASSENGER TRAVEL DEMAND MODELS (1974)STRUCTURE OF PASSENGER TRAVEL…Decoding urban transportation: Trade-offs in mode choices using big data (2025)Decoding urban transportation…Application of Artificial Neural Networks (ANN) in Investigating Travel Mode Choice: A Case Study of Langsa-Penang Passenger Ferry (2025)Application of Artificial Neu…Understanding tourists’ behavior toward transport mode choice by using machine learning methods (2024)Understanding tourists’ behav…Predicting travel mode choice with a robust neural network and Shapley additive explanations analysis (2024)Predicting travel mode choice…Linking short- and long-term impacts of the COVID-19 pandemic on travel behavior and travel preferences in Alabama: A machine learning-supported path analysis (2024)Linking short- and long-term …Modeling the Behavior in Choosing the Travel Mode for Long-Distance Travel Using Supervised Machine Learning Algorithms (2022)Modeling the Behavior in Choo…Strategy to reduce the number of parameters to be estimated in discrete choice models: An approach to large choice sets (2021)Strategy to reduce the number…Modeling Intercity Travel Mode Choice with Data Balance Changes: A Comparative Analysis of Bayesian Logit Model and Artificial Neural Networks (2021)Modeling Intercity Travel Mod…Factors associated with emerging multimodal transportation behavior in the San Francisco Bay Area (2021)Factors associated with emerg…Sustainable modes and violence: Perceived safety and exposure to crimes on trips to and from a Brazilian university campus (2020)Sustainable modes and violenc…All‐stop, skip‐stop, or transfer service: an empirical study on preferences of bus passengers (2018)All‐stop, skip‐stop, or trans…Comparing decision tree algorithms to estimate intercity trip distribution (2017)Comparing decision tree algor…Location and Land Use (1964)Location and Land Use: Toward a General Theory of Land Rent (1964)Cities and Housing. (1970)Travel and the Built Environment (2010)Limited-dependent and qualitative variables in econometrics (1983)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete choice analysis: Theory and application to travel demand (1988)A multiple discrete–continuous extreme value model: formulation and application to discretionary time-use decisions (2004)Factors Correlated with Bicycle Commuting: A Study in Six Small U.S. Cities (2010)Linking modal choice to motility: A comprehensive review (2013)Travel demand and the 3Ds: Density, diversity, and design (1997)The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei (2008)A comparative study of machine learning classifiers for modeling travel mode choice (2017)Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance (2017)Conditional logit analysis of qualitative choice behavior (1972)MODELING THE CHOICE OF RESIDENTIAL LOCATION (1978)Mixed MNL models for discrete response (2000)Choice set generation within the generalized extreme value family of discrete choice models (2001)A general and operational representation of Generalised Extreme Value models (2005)Estimation of Random Utility Models in R: The mlogit Package (2020)Spatial interaction theory and planning models (1979)Impacts of Mixed Use and Density on Utilization of Three Modes of Travel: Single-Occupant Vehicle, Transit, and Walking (1994)Automobile Prices in Market Equilibrium (1995)Travel and the Built Environment: A Synthesis (2001)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship (2009)When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour (2010)Quantal Choice Analaysis: A Survey (1976)Chapter 24 Econometric analysis of qualitative response models (1984)ECONOMETRIC ANALYSIS OF QUALITATIVE RESPONSE MODELS (1984)Urban Growth and Transportation (2012)National Household Travel Survey (2014)Using data mining to improve assessment of credit worthiness via credit scoring models (2011)A Methodology for Direct and Indirect Discrimination Prevention in Data Mining (2012)Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks (2018)On Stochastic Models of Traffic Assignment (1977)Human Capital, Effort, and the Sexual Division of Labor (1985)Human mobility: Models and applications (2018)
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References

  • 1974The measurement of urban travel demand2,554 cited
  • 1997A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area1,045 cited
  • 2007Introduction to Data Mining941 cited
  • 1996Mixed land-uses and commuting: Evidence from the American Housing Survey667 cited
  • 2006A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels623 cited
  • 2003Socioeconomics of Urban Travel: Evidence from the 2001 NHTS511 cited
  • 2005The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips422 cited
  • 1974STRUCTURE OF PASSENGER TRAVEL DEMAND MODELS389 cited
  • 2000The paired combinatorial logit model: properties, estimation and application290 cited
  • 2006An exploration of the relationship between mode choice and complexity of trip chaining patterns273 cited
  • 1999Examining Trip-Chaining Behavior: Comparison of Travel by Men and Women269 cited
  • 2007Volatility of car ownership, commuting mode and time in the UK220 cited
  • 2003Work Travel Mode Choice Modeling with Data Mining: Decision Trees and Neural Networks211 cited
  • 1981The Travel-Activity Patterns of Urban Residents: Dimensions and Relationships to Sociodemographic Characteristics

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205 cited
  • 2000A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice182 cited
  • 1996Transportation, Congestion, and Density: New Insights169 cited
  • Cited by

    • 2017Comparing decision tree algorithms to estimate intercity trip distribution43 cited
    • 2024Predicting travel mode choice with a robust neural network and Shapley additive explanations analysis32 cited
    • 2020Sustainable modes and violence: Perceived safety and exposure to crimes on trips to and from a Brazilian university campus31 cited
    • 2024Linking short- and long-term impacts of the COVID-19 pandemic on travel behavior and travel preferences in Alabama: A machine learning-supported path analysis17 cited
    • 2018All‐stop, skip‐stop, or transfer service: an empirical study on preferences of bus passengers12 cited
    • 2022Modeling the Behavior in Choosing the Travel Mode for Long-Distance Travel Using Supervised Machine Learning Algorithms12 cited
    • 2021Factors associated with emerging multimodal transportation behavior in the San Francisco Bay Area10 cited
    • 2021Modeling Intercity Travel Mode Choice with Data Balance Changes: A Comparative Analysis of Bayesian Logit Model and Artificial Neural Networks9 cited
    • 2025Decoding urban transportation: Trade-offs in mode choices using big data6 cited
    • 2021Strategy to reduce the number of parameters to be estimated in discrete choice models: An approach to large choice sets6 cited
    • 2025Application of Artificial Neural Networks (ANN) in Investigating Travel Mode Choice: A Case Study of Langsa-Penang Passenger Ferry5 cited
    • 2024Understanding tourists’ behavior toward transport mode choice by using machine learning methods5 cited