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Modeling Mode Choice Behavior Incorporating Household and Individual Sociodemographics and Travel Attributes Based on Rough Sets Theory
10 references·3 citing·47 second hop
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(1987)Distinguishing taste variation from error structure in discrete choice data (2000)Domestic tourism destination choices — a choice modelling analysis (2003)Efficient stated choice experiments for estimating nested logit models (2008)Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany (2008)Commuting by Bicycle: An Overview of the Literature (2009)Infrastructure, programs, and policies to increase bicycling: An international review (2009)An exploration of the relationships between socioeconomics, land use and daily trip chain pattern among low-income residents (2016)Bicycle mode share in China: a city-level analysis of long term trends (2016)Evaluating the Impacts of Bus Stop Design and Bus Dwelling on Operations of Multitype Road Users (2018)How children view their travel behaviour: a case study from Flanders (Belgium) (2009)Geographic information systems and science (2011)Geographic heterogeneity in cycling under various weather conditions: evidence from Greater Rotterdam (2014)The propensity to cycle tool: An open source online system for sustainable transport planning (2017)‘Complacent Car Addicts’ or ‘Aspiring Environmentalists’? 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(1991)Structural equation modeling for travel behavior research (2002)Car Use of the Carless in Sweden: Everyday Life Conditions for Reducing Car Dependence (2021)Young Saudi Women's travel behavior change over 2015/2020 (2021)Investigating the impact of gender and work profile on attribute importance for mode choice: A Multi-Criteria Decision-Making approach (2023)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Macroeconomics and Reality (1980)Discrete Choice Methods with Simulation (2001)Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling (2018)Machine Learning Travel Mode Choices: Comparing the Performance of an Extreme Gradient Boosting Model with a Multinomial Logit Model (2018)A systematic review of machine learning classification methodologies for modelling passenger mode choice (2020)
this work references cited by second hop

References

  • 1972Conditional logit analysis of qualitative choice behavior14,281 cited
  • 2002Urban Form and Travel Behaviour: Micro-level Household Attributes and Residential Context454 cited
  • 2003Work Travel Mode Choice Modeling with Data Mining: Decision Trees and Neural Networks211 cited
  • 2008Travel-to-school mode choice modelling and patterns of school choice in urban areas206 cited
  • 1998Accommodating flexible substitution patterns in multi-dimensional choice modeling: formulation and application to travel mode and departure time choice197 cited
  • 1998Alternative nested logit models: structure, properties and estimation190 cited
  • 2005Use of non-motorised modes and life stage in Edinburgh142 cited
  • 2004A multidimensional mixed ordered-response model for analyzing weekend activity participation141 cited
  • 2013Exploring the causal relationship between bicycle choice and trip chain pattern43 cited
  • 2013Modeling Gender-Based Differences in Mode Choice considering Time-Use Pattern: Analysis of Bicycle, Public Transit, and Car Use in Suzhou, China36 cited

Cited by

  • 2025A New Breakthrough in Travel Behavior Modeling Using Deep Learning: A High-Accuracy Prediction Method Based on a CNN11 cited
  • 2025The implementation effectiveness of Transit Metropolis policy: A case study of information intervention experiments10 cited
  • 2017Railway passengers travel behavior based on bounded rationality by rough set weight

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7 cited