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Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain
16 references·5 citing·47 second hop
Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain (2021)Exploring Influencing Factors of Intercit…Statistical and Econometric Methods for Transportation Data Analysis (2020)Statistical and Econometric M…Assessing intercity multimodal choice behavior in a Touristy City: A factor analysis (2020)Assessing intercity multimoda…Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research (2019)Impacts of high-speed rail on…The implications of high-speed railways on air passenger flows in China (2018)The implications of high-spee…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…Air Transport versus High-Speed Rail: An Overview and Research Agenda (2017)Air Transport versus High-Spe…Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China (2016)Forecasting passenger travel …Estimation of travel mode choice for domestic tourists to Nha Trang using the multinomial probit model (2013)Estimation of travel mode cho…A Review of Ex-Post Evidence for Mode Substitution and Induced Demand Following the Introduction of High-Speed Rail (2013)A Review of Ex-Post Evidence …Latent class nested logit model for analyzing high-speed rail access mode choice (2011)Latent class nested logit mod…Logit Models for Forecasting Nationwide Intercity Travel Demand in the United States (2007)Logit Models for Forecasting …Accounting for heterogeneity in the variance of unobserved effects in mixed logit models (2005)Accounting for heterogeneity …Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling (1998)Accommodating variations in r…An Endogenous Segmentation Mode Choice Model with an Application to Intercity Travel (1997)An Endogenous Segmentation Mo…A heteroscedastic extreme value model of intercity travel mode choice (1995)A heteroscedastic extreme val…APPLICATION AND INTERPRETATION OF NESTED LOGIT MODELS OF INTERCITY MODE CHOICE (1993)APPLICATION AND INTERPRETATIO…Influences of built environment on intercity travel demand of urban agglomerations: The discrepancies across inferred trip purposes (2025)Influences of built environme…Exploring factors that affect single-mode and multimodal travel preference for commute trips: a case study in Shanghai, China (2025)Exploring factors that affect…Analysis of Spatiotemporal Characteristics of Intercity Travelers Within Urban Agglomeration Based on Trip Chain and K-Prototypes Algorithm (2025)Analysis of Spatiotemporal Ch…Investigating the impact of gender and work profile on attribute importance for mode choice: A Multi-Criteria Decision-Making approach (2023)Investigating the impact of g…Shifting the population mobility of the Ukraine western region on the strength of the COVID-19 pandemic (2022)Shifting the population mobil…Mixed MNL models for discrete response (2000)Discrete Choice Methods with Simulation (2001)The Mixed Logit model: The state of practice (2003)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)Conditional logit analysis of qualitative choice behavior (1972)MODELING THE CHOICE OF RESIDENTIAL LOCATION (1978)Latent class models of international air carrier choice (2009)Taste heterogeneity and market segmentation in freight shippers’ mode choice behaviour (2010)Effectiveness of high-speed railway on regional economic growth for less developed areas (2019)Discrete Choice Analysis: Theory and Application to Travel Demand. 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References

  • 2020Statistical and Econometric Methods for Transportation Data Analysis963 cited
  • 1997An Endogenous Segmentation Mode Choice Model with an Application to Intercity Travel397 cited
  • 1995A heteroscedastic extreme value model of intercity travel mode choice397 cited
  • 2019Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research296 cited
  • 2005Accounting for heterogeneity in the variance of unobserved effects in mixed logit models235 cited
  • 1998Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling199 cited
  • 2013A Review of Ex-Post Evidence for Mode Substitution and Induced Demand Following the Introduction of High-Speed Rail186 cited
  • 2016Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China132 cited
  • 2011Latent class nested logit model for analyzing high-speed rail access mode choice123 cited
  • 2018Analysis of mode choice for intercity travel: Application of a hybrid choice model to two distinct US corridors113 cited
  • 1993APPLICATION AND INTERPRETATION OF NESTED LOGIT MODELS OF INTERCITY MODE CHOICE94 cited
  • 2018The implications of high-speed railways on air passenger flows in China86 cited
  • 2013Estimation of travel mode choice for domestic tourists to Nha Trang using the multinomial probit model85 cited

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  • 2017Air Transport versus High-Speed Rail: An Overview and Research Agenda82 cited
  • 2020Assessing intercity multimodal choice behavior in a Touristy City: A factor analysis69 cited
  • 2007Logit Models for Forecasting Nationwide Intercity Travel Demand in the United States68 cited
  • Cited by

    • 2023Investigating the impact of gender and work profile on attribute importance for mode choice: A Multi-Criteria Decision-Making approach12 cited
    • 2025Influences of built environment on intercity travel demand of urban agglomerations: The discrepancies across inferred trip purposes4 cited
    • 2022Shifting the population mobility of the Ukraine western region on the strength of the COVID-19 pandemic3 cited
    • 2025Exploring factors that affect single-mode and multimodal travel preference for commute trips: a case study in Shanghai, China3 cited
    • 2025Analysis of Spatiotemporal Characteristics of Intercity Travelers Within Urban Agglomeration Based on Trip Chain and K-Prototypes Algorithm2 cited