IDEAS home Printed from https://ideas.repec.org/r/eee/transb/v39y2005i9p797-823.html

An analysis of multiple interepisode durations using a unifying multivariate hazard model

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Havet, Nathalie & Bayart, Caroline & Bonnel, Patrick, 2021. "Why do Gender Differences in Daily Mobility Behaviours persist among workers?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 34-48.
  2. Donggen Wang & Tao Lin, 2019. "Built environment, travel behavior, and residential self-selection: a study based on panel data from Beijing, China," Transportation, Springer, vol. 46(1), pages 51-74, February.
  3. Meng Zhou & Donggen Wang, 2019. "Investigating inter-generational changes in activity-travel behavior: a disaggregate approach," Transportation, Springer, vol. 46(5), pages 1643-1687, October.
  4. Darren M. Scott & Kenneth Bruce Newbold & Jamie E.L. Spinney & Ruben Mercado & Antonio Páez & Pavlos S. Kanaroglou, 2009. "New Insights into Senior Travel Behavior: The Canadian Experience," Growth and Change, Wiley Blackwell, vol. 40(1), pages 140-168, March.
  5. Yang Cao & Linxing Wang & Hao Wu & Shuqi Yan & Shuwen Shen, 2023. "Identification and Mechanism of Residents’ Regional Non-Commuting Flow Patterns Based on the Gradient Boosting Decision Tree Model: A Case Study of the Shanghai Metropolitan Area," Land, MDPI, vol. 12(9), pages 1-21, August.
  6. Lin, Tao & Wang, Donggen & Zhou, Meng, 2018. "Residential relocation and changes in travel behavior: what is the role of social context change?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 360-374.
  7. Lee, Backjin & Timmermans, Harry J.P., 2007. "A latent class accelerated hazard model of activity episode durations," Transportation Research Part B: Methodological, Elsevier, vol. 41(4), pages 426-447, May.
  8. Elisabetta Cherchi & Cinzia Cirillo, 2014. "Understanding variability, habit and the effect of long period activity plan in modal choices: a day to day, week to week analysis on panel data," Transportation, Springer, vol. 41(6), pages 1245-1262, November.
  9. Liya Yang & Lingqian Hu & Zhenbo Wang, 2019. "The built environment and trip chaining behaviour revisited: The joint effects of the modifiable areal unit problem and tour purpose," Urban Studies, Urban Studies Journal Limited, vol. 56(4), pages 795-817, March.
  10. Arentze, Theo A. & Ettema, Dick & Timmermans, Harry J.P., 2011. "Estimating a model of dynamic activity generation based on one-day observations: Method and results," Transportation Research Part B: Methodological, Elsevier, vol. 45(2), pages 447-460, February.
  11. Baro, Rimpi & Rao, K.V. Krishna & Velaga, Nagendra R., 2025. "Dissecting gender differences in Commute wellbeing and Quality of life interaction in a developing country context," Research in Transportation Economics, Elsevier, vol. 112(C).
  12. Elias, Wafa & Benjamin, Julian & Shiftan, Yoram, 2015. "Gender differences in activity and travel behavior in the Arab world," Transport Policy, Elsevier, vol. 44(C), pages 19-27.
  13. Abdul Rawoof Pinjari & Chandra R. Bhat, 2011. "Activity-based Travel Demand Analysis," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 10, Edward Elgar Publishing.
  14. Tai-Yu Ma & Charles Raux & Eric Cornelis & Iragaël Joly, 2009. "multi-state non-homogeneous semi-markov model of daily activity type, timing and duration sequence," Post-Print halshs-00310900, HAL.
  15. Eisenmann, Christine & Buehler, Ralph, 2018. "Are cars used differently in Germany than in California? Findings from annual car-use profiles," Journal of Transport Geography, Elsevier, vol. 69(C), pages 171-180.
  16. Jara-Díaz, Sergio & Rosales-Salas, Jorge, 2015. "Understanding time use: Daily or weekly data?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 38-57.
  17. Dick Ettema & Tanja Lippe, 2009. "Weekly rhythms in task and time allocation of households," Transportation, Springer, vol. 36(2), pages 113-129, March.
  18. Cho, WooKeol & Chung, Jin-Hyuk & Kim, Jinhee, 2023. "Need-based approach for modeling multiday activity participation patterns and identifying the impact of activity/travel conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
  19. Stephan Brunow & Manuela Gründer, 2013. "The impact of activity chaining on the duration of daily activities," Transportation, Springer, vol. 40(5), pages 981-1001, September.
  20. Kang, Hejun & Scott, Darren M., 2010. "Exploring day-to-day variability in time use for household members," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 609-619, October.
  21. Labee, Pim & Kim, Seheon & Rasouli, Soora, 2025. "Heterogeneity in inter-episode intervals for discretionary activities; covariate-dependent finite mixture models," Journal of Transport Geography, Elsevier, vol. 126(C).
  22. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
  23. Christina Milioti & Konstantinos Kepaptsoglou & Alexandros Deloukas & Gerasimos Prodromitis & Christina Iliopoulou, 2019. "Modeling traveler recovery time following man-made incidents: the case of the Athens metro," Journal of Transportation Security, Springer, vol. 12(3), pages 103-117, December.
  24. Ke Wang & Xin Ye & Jie Ma, 2018. "An empirical analysis of post-work grocery shopping activity duration using modified accelerated failure time model to differentiate time-dependent and time-independent covariates," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-17, November.
  25. Ballis, Haris & Dimitriou, Loukas, 2020. "Revealing personal activities schedules from synthesizing multi-period origin-destination matrices," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 224-258.
  26. Esra Suel & Nicolò Daina & John W. Polak, 2018. "A hazard-based approach to modelling the effects of online shopping on intershopping duration," Transportation, Springer, vol. 45(2), pages 415-428, March.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.