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A multiple discrete-continuous nested extreme value (MDCNEV) model: Formulation and application to non-worker activity time-use and timing behavior on weekdays

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  1. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
  2. Chandra Bhat & Abdul Pinjari, 2014. "Multiple discrete-continuous choice models: a reflective analysis and a prospective view," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 19, pages 427-454, Edward Elgar Publishing.
  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. Jian, Sisi & Rashidi, Taha Hossein & Dixit, Vinayak, 2017. "An analysis of carsharing vehicle choice and utilization patterns using multiple discrete-continuous extreme value (MDCEV) models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 362-376.
  5. 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.
  6. Rajesh Paleti & Rachel Copperman & Chandra Bhat, 2011. "An empirical analysis of children’s after school out-of-home activity-location engagement patterns and time allocation," Transportation, Springer, vol. 38(2), pages 273-303, March.
  7. Sikder, Sujan & Pinjari, Abdul Rawoof, 2013. "The benefits of allowing heteroscedastic stochastic distributions in multiple discrete-continuous choice models," Journal of choice modelling, Elsevier, vol. 9(C), pages 39-56.
  8. Palma, David & Hess, Stephane, 2022. "Extending the Multiple Discrete Continuous (MDC) modelling framework to consider complementarity, substitution, and an unobserved budget," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 13-35.
  9. Khan, Mubassira & Machemehl, Randy, 2017. "Commercial vehicles time of day choice behavior in urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 68-83.
  10. Han Dong & Cinzia Cirillo & Marco Diana, 2018. "Activity involvement and time spent on computers for leisure: an econometric analysis on the American Time Use Survey dataset," Transportation, Springer, vol. 45(2), pages 429-449, March.
  11. Tho V. Le & Satish V. Ukkusuri, 2018. "Selectivity correction in discrete-continuous models for the willingness to work as crowd-shippers and travel time tolerance," Papers 1810.00985, arXiv.org.
  12. 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 choi," Journal of choice modelling, Elsevier, vol. 26(C), pages 80-100.
  13. Richards, Timothy J. & Mancino, Lisa, 2012. "Demand for Food Away from Home: A Multiple Discrete/Continuous Extreme Value Model," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 127103, International Association of Agricultural Economists.
  14. Ipek Sener & Chandra Bhat, 2012. "Modeling the spatial and temporal dimensions of recreational activity participation with a focus on physical activities," Transportation, Springer, vol. 39(3), pages 627-656, May.
  15. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
  16. Ozonder, Gozde & Miller, Eric J., 2021. "Longitudinal investigation of skeletal activity episode timing decisions – A copula approach," Journal of choice modelling, Elsevier, vol. 40(C).
  17. Chandra R. Bhat & Subodh K. Dubey & Mohammad Jobair Bin Alam & Waleed H. Khushefati, 2015. "A New Spatial Multiple Discrete-Continuous Modeling Approach To Land Use Change Analysis," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 801-841, November.
  18. Calastri, Chiara & Giergiczny, Marek & Zedrosser, Andreas & Hess, Stephane, 2023. "Modelling activity patterns of wild animals - An application of the multiple discrete-continuous extreme value (MDCEV) model," Journal of choice modelling, Elsevier, vol. 47(C).
  19. Matthews, Yvonne, 2023. "A hybrid and hierarchical stated preference study of freshwater restoration in Aotearoa New Zealand," Ecological Economics, Elsevier, vol. 203(C).
  20. Ziqi Zhang & Zhi Qiu, 2020. "Exploring Daily Activity Patterns on the Typical Day of Older Adults for Supporting Aging-in-Place in China’s Rural Environment," IJERPH, MDPI, vol. 17(22), pages 1-20, November.
  21. Calastri, Chiara & Hess, Stephane & Daly, Andrew & Carrasco, Juan Antonio, 2017. "Does the social context help with understanding and predicting the choice of activity type and duration? An application of the Multiple Discrete-Continuous Nested Extreme Value model to activity diary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 1-20.
  22. Kaplan, Sigal & Shiftan, Yoram & Bekhor, Shlomo, 2012. "Development and estimation of a semi-compensatory model with a flexible error structure," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 291-304.
  23. Jara-Díaz, Sergio & Candia, Diego, 2020. "A new look at the value of leisure in two-worker households," Economics of Transportation, Elsevier, vol. 24(C).
  24. Chiara Calastri & Jacek Pawlak & Richard Batley, 2022. "Participation in online activities while travelling: an application of the MDCEV model in the context of rail travel," Transportation, Springer, vol. 49(1), pages 61-87, February.
  25. Jessie Handbury, 2021. "Are Poor Cities Cheap for Everyone? Non‐Homotheticity and the Cost of Living Across U.S. Cities," Econometrica, Econometric Society, vol. 89(6), pages 2679-2715, November.
  26. Sobhani, Anae & Eluru, Naveen & Faghih-Imani, Ahmadreza, 2013. "A latent segmentation based multiple discrete continuous extreme value model," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 154-169.
  27. Chung, Yi-Shih & Lu, Kuan-Hung, 2020. "Investigating passenger behavior in airport terminals with multisource data: Recall bias and time budget effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 410-429.
  28. Ko, Joonho & Kim, Daejin, 2017. "Employer-based travel demand management program: Employer’s choice and effectiveness," Transport Policy, Elsevier, vol. 59(C), pages 1-9.
  29. Morris, Eric A. & Blumenberg, Evelyn & Guerra, Erick, 2020. "Does lacking a car put the brakes on activity participation? Private vehicle access and access to opportunities among low-income adults," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 375-397.
  30. Bernardo, Christina & Paleti, Rajesh & Hoklas, Megan & Bhat, Chandra, 2015. "An empirical investigation into the time-use and activity patterns of dual-earner couples with and without young children," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 71-91.
  31. Annesha Enam & Karthik C. Konduri & Naveen Eluru & Srinath Ravulaparthy, 2018. "Relationship between well-being and daily time use of elderly: evidence from the disabilities and use of time survey," Transportation, Springer, vol. 45(6), pages 1783-1810, November.
  32. Lu, Hui & Hess, Stephane & Daly, Andrew & Rohr, Charlene, 2017. "Measuring the impact of alcohol multi-buy promotions on consumers' purchase behaviour," Journal of choice modelling, Elsevier, vol. 24(C), pages 75-95.
  33. Pinjari, Abdul Rawoof & Bhat, Chandra, 2021. "Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis," Journal of choice modelling, Elsevier, vol. 39(C).
  34. Blom Västberg, Oskar & Karlström, Anders & Jonsson, Daniel & Sundberg, Marcus, 2016. "Including time in a travel demand model using dynamic discrete choice," MPRA Paper 75336, University Library of Munich, Germany, revised 11 Nov 2016.
  35. Alexa Delbosc & Maarten Kroesen & Bert Wee & Mathijs Haas, 2020. "Linear, non-linear, bi-directional? Testing the nature of the relationship between mobility and satisfaction with life," Transportation, Springer, vol. 47(4), pages 2049-2066, August.
  36. Pudāne, Baiba & van Cranenburgh, Sander & Chorus, Caspar G., 2021. "A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey," Journal of choice modelling, Elsevier, vol. 39(C).
  37. Pinjari, Abdul Rawoof, 2011. "Generalized extreme value (GEV)-based error structures for multiple discrete-continuous choice models," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 474-489, March.
  38. Jessie Handbury, 2019. "Are Poor Cities Cheap for Everyone? Non-Homotheticity and the Cost of Living Across U.S. Cities," NBER Working Papers 26574, National Bureau of Economic Research, Inc.
  39. M. Manoj & Ashish Verma, 2017. "A structural equation model based analysis of non-workers’ activity-travel behaviour from a city of a developing country," Transportation, Springer, vol. 44(2), pages 241-269, March.
  40. Pinjari, Abdul Rawoof & Augustin, Bertho & Sivaraman, Vijayaraghavan & Faghih Imani, Ahmadreza & Eluru, Naveen & Pendyala, Ram M., 2016. "Stochastic frontier estimation of budgets for Kuhn–Tucker demand systems: Application to activity time-use analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 117-133.
  41. Balbontin, Camila & Hensher, David A. & Beck, Matthew J., 2024. "The influence of working from home and underlying attitudes on the number of commuting and non-commuting trips by workers during 2020 and 2021 pre- and post-lockdown in Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
  42. Nazneen Ferdous & Abdul Pinjari & Chandra Bhat & Ram Pendyala, 2010. "A comprehensive analysis of household transportation expenditures relative to other goods and services: an application to United States consumer expenditure data," Transportation, Springer, vol. 37(3), pages 363-390, May.
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