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Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: Application to residential self-selection effects analysis in an activity time-use behavior model

Citations

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Cited by:

  1. Bhat, Chandra R. & Mondal, Aupal & Asmussen, Katherine E. & Bhat, Aarti C., 2020. "A multiple discrete extreme value choice model with grouped consumption data and unobserved budgets," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 196-222.
  2. Astroza, Sebastian & Bhat, Prerna C. & Bhat, Chandra R. & Pendyala, Ram M. & Garikapati, Venu M., 2018. "Understanding activity engagement across weekdays and weekend days: A multivariate multiple discrete-continuous modeling approach," Journal of choice modelling, Elsevier, vol. 28(C), pages 56-70.
  3. Bhat, Chandra R., 2018. "A new flexible multiple discrete–continuous extreme value (MDCEV) choice model," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 261-279.
  4. Leung, Kevin Y.K. & Astroza, Sebastian & Loo, Becky P.Y. & Bhat, Chandra R., 2019. "An environment-people interactions framework for analysing children's extra-curricular activities and active transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 341-358.
  5. Bhat, Chandra R., 2024. "Transformation-based flexible error structures for choice modeling," Journal of choice modelling, Elsevier, vol. 53(C).
  6. Pellegrini, Andrea & Pinjari, Abdul Rawoof & Maggi, Rico, 2021. "A multiple discrete continuous model of time use that accommodates non-additively separable utility functions along with time and monetary budget constraints," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 37-53.
  7. Singh, Abhilash C. & Faghih Imani, Ahmadreza & Sivakumar, Aruna & Luna Xi, Yang & Miller, Eric J., 2024. "A joint analysis of accessibility and household trip frequencies by travel mode," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
  8. Watanabe, Hajime & Maruyama, Takuya, 2024. "A Bayesian sample selection model with a binary outcome for handling residential self-selection in individual car ownership," Journal of choice modelling, Elsevier, vol. 51(C).
  9. Pellegrini, Andrea & Yao, Xusheng & Rose, John M. & Ma, Shoufeng, 2025. "An autoregressive spatial stochastic frontier analysis for quantifying the sales efficiency of the electric vehicle market: An application to 88 pilot cities in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 193(C).
  10. Rafiq, Rezwana & McNally, Michael G., 2021. "Heterogeneity in Activity-travel Patterns of Public Transit Users: An Application of Latent Class Analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 1-18.
  11. Watanabe, Hajime & Maruyama, Takuya, 2026. "A sample selection model with multinomial endogenous switching: Addressing sample selection bias on binary and continuous outcomes of household vehicle miles traveled," Transportation Research Part B: Methodological, Elsevier, vol. 210(C).
  12. Nießen, Johannes & Kuhnimhof, Tobias, 2026. "How public transport costs influence the residential location choice of German commuters," Journal of Transport Geography, Elsevier, vol. 134(C).
  13. Bhat, Chandra R. & Mondal, Aupal, 2022. "A New Flexible Generalized Heterogeneous Data Model (GHDM) with an Application to Examine the Effect of High Density Neighborhood Living on Bicycling Frequency," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 244-266.
  14. Enam, Annesha & Konduri, Karthik C. & Pinjari, Abdul R. & Eluru, Naveen, 2018. "An integrated choice and latent variable model for multiple discrete continuous choice kernels: Application exploring the association between day level moods and discretionary activity engagement choices," Journal of choice modelling, Elsevier, vol. 26(C), pages 80-100.
  15. Lavieri, Patrícia S. & Dai, Qichun & Bhat, Chandra R., 2018. "Using virtual accessibility and physical accessibility as joint predictors of activity-travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 527-544.
  16. Dubey, Subodh & Sharma, Ishant & Mishra, Sabyasachee & Cats, Oded & Bansal, Prateek, 2022. "A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 165(C), pages 63-95.
  17. Mothafer, Ghasak I.M.A. & Yamamoto, Toshiyuki & Shankar, Venkataraman N., 2018. "A multivariate heterogeneous-dispersion count model for asymmetric interdependent freeway crash types," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 84-105.
  18. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.
  19. van Herick, David & Mokhtarian, Patricia L., 2021. "Quantifying the share of total apparent effect that is genuinely due to a treatment: A comparison of methods," Research in Transportation Economics, Elsevier, vol. 90(C).
  20. Guan, Xiaodong & Wang, Donggen, 2020. "The multiplicity of self-selection: What do travel attitudes influence first, residential location or work place?," Journal of Transport Geography, Elsevier, vol. 87(C).
  21. Dong, Chunjiao & Shao, Chunfu & Clarke, David B. & Nambisan, Shashi S., 2018. "An innovative approach for traffic crash estimation and prediction on accommodating unobserved heterogeneities," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 407-428.
  22. Liu, Tiantian & Ding, Chuan, 2024. "Revisiting built environment and travel behavior: A natural experiment accounting for residential self-selection," Journal of Transport Geography, Elsevier, vol. 115(C).
  23. Astroza, Sebastian & Guarda, Pablo & Carrasco, Juan Antonio, 2022. "Modeling the relationship between food purchasing, transport, and health outcomes: Evidence from Concepcion, Chile," Journal of choice modelling, Elsevier, vol. 42(C).
  24. Wang, Jingjing & Fu, Xinli & Lu, Yi & Li, Zhenhua & Yang, Hong & Yang, Linchuan, 2026. "Does residing in central urban areas increase private vehicle use? A double machine learning method to address residential self-selection bias," Journal of Transport Geography, Elsevier, vol. 135(C).
  25. Mondal, Aupal & Bhat, Chandra R., 2021. "A new closed form multiple discrete-continuous extreme value (MDCEV) choice model with multiple linear constraints," Transportation Research Part B: Methodological, Elsevier, vol. 147(C), pages 42-66.
  26. Bhat, Chandra R., 2022. "A closed-form multiple discrete-count extreme value (MDCNTEV) model," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 65-86.
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