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Comparing travel mode and trip chain choices between holidays and weekdays
11 references·16 citing·40 second hop
Comparing travel mode and trip chain choices between holidays and weekdays (2016)Comparing travel mode and trip chain choi…Cross-nested logit model for the joint choice of residential location, travel mode, and departure time (2012)Cross-nested logit model for …A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns (2009)A methodological framework fo…An exploration of the relationship between mode choice and complexity of trip chaining patterns (2006)An exploration of the relatio…A theoretical analysis of the cross-nested logit model (2006)A theoretical analysis of the…BIOGEME: a free package for the estimation of discrete choice models (2003)BIOGEME: a free package for t…The generalized nested logit model (2001)The generalized nested logit …Trip chaining as a barrier to the propensity to use public transport (2000)Trip chaining as a barrier to…A conceptual and methdological framework for the generation of activity-travel patterns (2000)A conceptual and methdologica…A theoretical and empirical model of trip chaining behavior (1979)A theoretical and empirical m…MODELING THE CHOICE OF RESIDENTIAL LOCATION (1978)MODELING THE CHOICE OF RESIDE…Modelling the Choice of Residential Location (1977)Modelling the Choice of Resid…Exploring Associations between the Built Environment and Cycling Behaviour around Urban Greenways from a Human-Scale Perspective (2023)Exploring Associations betwee…Travel behavior on vacation: transport mode choice of tourists at destinations (2022)Travel behavior on vacation: …Telecommuting and trip chaining: Pre-pandemic patterns and implications for the post-pandemic world (2022)Telecommuting and trip chaini…Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data (2021)Revealing correlation pattern…Analysis of Travel Mode Choice in Seoul Using an Interpretable Machine Learning Approach (2021)Analysis of Travel Mode Choic…Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China (2021)Analysis of travel mode choic…What is ‘neighborhood walkability’? 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this work references cited by second hop

References

  • 1978MODELING THE CHOICE OF RESIDENTIAL LOCATION2,442 cited
  • 1977Modelling the Choice of Residential Location890 cited
  • 2003BIOGEME: a free package for the estimation of discrete choice models884 cited
  • 2001The generalized nested logit model527 cited
  • 1979A theoretical and empirical model of trip chaining behavior285 cited
  • 2006An exploration of the relationship between mode choice and complexity of trip chaining patterns273 cited
  • 2000Trip chaining as a barrier to the propensity to use public transport258 cited
  • 2006A theoretical analysis of the cross-nested logit model166 cited
  • 2000A conceptual and methdological framework for the generation of activity-travel patterns130 cited
  • 2009A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns104 cited
  • 2012Cross-nested logit model for the joint choice of residential location, travel mode, and departure time99 cited

Cited by

  • 2019Exploring impacts of the built environment on transit travel: Distance, time and mode choice, for urban villages in Shenzhen, China94 cited
  • 2020What is ‘neighborhood walkability’? How the built environment differently correlates with walking for different purposes and with walking on weekdays and weekends88 cited

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2018
Travel mode choices in small cities of China: A case study of Changting
77 cited
  • 2021Analysis of Travel Mode Choice in Seoul Using an Interpretable Machine Learning Approach76 cited
  • 2022Travel behavior on vacation: transport mode choice of tourists at destinations71 cited
  • 2021Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China57 cited
  • 2020Choice behavior of tourism destination and travel mode: A case study of local residents in Hangzhou, China55 cited
  • 2020Trip chain complexity: a comparison among latent classes of daily mobility patterns52 cited
  • 2018Urban spatial structure and travel patterns: Analysis of workday and holiday travel using inhomogeneous Poisson point process models45 cited
  • 2023Exploring Associations between the Built Environment and Cycling Behaviour around Urban Greenways from a Human-Scale Perspective39 cited
  • 2022Telecommuting and trip chaining: Pre-pandemic patterns and implications for the post-pandemic world37 cited
  • 2020Holiday travel behavior analysis and empirical study with Integrated Travel Reservation Information usage36 cited
  • 2018The built environment and trip chaining behaviour revisited: The joint effects of the modifiable areal unit problem and tour purpose34 cited
  • 2021Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data25 cited
  • 2019Travel mode attitudes, urban context, and demographics: do they interact differently for bicycle commuting and cycling for other purposes?25 cited
  • 2020Exploring Travel Patterns during the Holiday Season—A Case Study of Shenzhen Metro System During the Chinese Spring Festival24 cited