IDEAS home Printed from https://ideas.repec.org/r/eee/transb/v32y1998i6p361-371.html
   My bibliography  Save this item

Analysis of travel mode and departure time choice for urban shopping trips

Citations

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


Cited by:

  1. Arthur (Yan) Huang & David Levinson, 2015. "Axis of travel: Modeling non-work destination choice with GPS data," Working Papers 000113, University of Minnesota: Nexus Research Group.
  2. Laura Grigolon, 2021. "Blurred boundaries: A flexible approach for segmentation applied to the car market," Quantitative Economics, Econometric Society, vol. 12(4), pages 1273-1305, November.
  3. Rasaizadi, Arash & Farzin, Iman & Hafizi, Fateme, 2022. "Machine learning approach versus probabilistic approach to model the departure time of non-mandatory trips," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
  4. Bellei, Giuseppe & Gentile, Guido & Meschini, Lorenzo & Papola, Natale, 2006. "A demand model with departure time choice for within-day dynamic traffic assignment," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1557-1576, December.
  5. Driscoll, Áine & Lyons, Sean & Morgenroth, Edgar & Nolan, Anne, 2013. "Comparing the Determinants of Mode Choice across Travel Purposes," MPRA Paper 46034, University Library of Munich, Germany.
  6. Daly, Andrew & Bierlaire, Michel, 2006. "A general and operational representation of Generalised Extreme Value models," Transportation Research Part B: Methodological, Elsevier, vol. 40(4), pages 285-305, May.
  7. Peer, Stefanie & Knockaert, Jasper & Koster, Paul & Tseng, Yin-Yen & Verhoef, Erik T., 2013. "Door-to-door travel times in RP departure time choice models: An approximation method using GPS data," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 134-150.
  8. Bwambale, Andrew & Choudhury, Charisma F. & Hess, Stephane, 2019. "Modelling departure time choice using mobile phone data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 424-439.
  9. Sanjana Hossain & Md. Sami Hasnine & Khandker Nurul Habib, 2021. "A latent class joint mode and departure time choice model for the Greater Toronto and Hamilton Area," Transportation, Springer, vol. 48(3), pages 1217-1239, June.
  10. Md Sami Hasnine & Khandker Nurul Habib, 2020. "Modelling the dynamics between tour-based mode choices and tour-timing choices in daily activity scheduling," Transportation, Springer, vol. 47(5), pages 2635-2669, October.
  11. 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.
  12. Peter Davis & Pasquale Schiraldi, 2014. "The flexible coefficient multinomial logit (FC-MNL) model of demand for differentiated products," RAND Journal of Economics, RAND Corporation, vol. 45(1), pages 32-63, March.
  13. Yi Che & Julan Du & Yi Lu & Zhigang Tao, 2023. "Institutional difference and foreign direct investment location choice: Evidence from China," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1934-1956, August.
  14. 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).
  15. Thuy Linh Hoang & Muhammad Adnan & Anh Tuan Vu & Nguyen Hoang-Tung & Bruno Kochan & Tom Bellemans, 2022. "Modeling and Structuring of Activity Scheduling Choices with Consideration of Intrazonal Tours: A Case Study of Motorcycle-Based Cities," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
  16. Francisco Cisternas & Wee Chaimanowong & Alan Montgomery & Timothy Derdenger, 2020. "Influencing Competition Through Shelf Design," Papers 2010.09227, arXiv.org, revised Mar 2024.
  17. Muhammad Irawan & Tomonori Sumi, 2011. "Modeling Departure Time of Students on Public Transports in Yogyakarta, Indonesia," Modern Applied Science, Canadian Center of Science and Education, vol. 5(4), pages 1-3, August.
  18. Kato, Hironori & Kaneko, Yuichiro & Soyama, Yoshihiko, 2014. "Economic benefits of urban rail projects that improve travel-time reliability: Evidence from Tokyo, Japan," Transport Policy, Elsevier, vol. 35(C), pages 202-210.
  19. José Holguín-Veras & Iván Sánchez-Díaz & Benjamin Reim, 2016. "ETC adoption, time-of-travel choice, and comprehensive policies to enhance time-of-day pricing: a stated preference investigation," Transportation, Springer, vol. 43(2), pages 273-299, March.
  20. Peiyu Jing & Ravi Seshadri & Takanori Sakai & Ali Shamshiripour & Andre Romano Alho & Antonios Lentzakis & Moshe E. Ben-Akiva, 2023. "Evaluating congestion pricing schemes using agent-based passenger and freight microsimulation," Papers 2305.07318, arXiv.org.
  21. Khandker Nurul Habib & Sami Hasnine, 2019. "An econometric investigation of the influence of transit passes on transit users’ behavior in Toronto," Public Transport, Springer, vol. 11(1), pages 111-133, June.
  22. Stephane Hess & John Polak & Andrew Daly & Geoffrey Hyman, 2007. "Flexible substitution patterns in models of mode and time of day choice: new evidence from the UK and the Netherlands," Transportation, Springer, vol. 34(2), pages 213-238, March.
  23. Alexander Rossolov & Halyna Rossolova & José Holguín-Veras, 2021. "Online and in-store purchase behavior: shopping channel choice in a developing economy," Transportation, Springer, vol. 48(6), pages 3143-3179, December.
  24. Jason D. Lemp & Kara M. Kockelman & Paul Damien, 2012. "A Bivariate Multinomial Probit Model for Trip Scheduling: Bayesian Analysis of the Work Tour," Transportation Science, INFORMS, vol. 46(3), pages 405-424, August.
  25. Muhammad Ibrahim, 2003. "Car ownership and attitudes towards transport modes for shopping purposes in Singapore," Transportation, Springer, vol. 30(4), pages 435-457, November.
  26. Siliang Luan & Qingfang Yang & Zhongtai Jiang & Huxing Zhou & Fanyun Meng, 2022. "Analyzing Commute Mode Choice Using the LCNL Model in the Post-COVID-19 Era: Evidence from China," IJERPH, MDPI, vol. 19(9), pages 1-26, April.
  27. Bhat, Chandra R. & Guo, Jessica, 2004. "A mixed spatially correlated logit model: formulation and application to residential choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 147-168, February.
  28. Forsyth, Ann & Lytle, Leslie & Van Riper, David, 2010. "Finding food: Issues and challenges in using Geographic Information Systems (GIS) to measure food access," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 43-65.
  29. Zannat, Khatun E. & Choudhury, Charisma F. & Hess, Stephane, 2024. "Modelling time-of-travel preferences capturing correlations between departure times and activity durations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
  30. Tri Basuki Joewono & Ari K. M. Tarigan & Muhamad Rizki, 2019. "Segmentation, Classification, and Determinants of In-Store Shopping Activity and Travel Behaviour in the Digitalisation Era: The Context of a Developing Country," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
  31. Ke Wang & Chandra R. Bhat & Xin Ye, 2023. "A multinomial probit analysis of shanghai commute mode choice," Transportation, Springer, vol. 50(4), pages 1471-1495, August.
  32. Lizana, Pedro & Ortúzar, Juan de Dios & Arellana, Julián & Rizzi, Luis I., 2021. "Forecasting with a joint mode/time-of-day choice model based on combined RP and SC data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 302-316.
  33. Zheng Zhu & Xiqun Chen & Chenfeng Xiong & Lei Zhang, 2018. "A mixed Bayesian network for two-dimensional decision modeling of departure time and mode choice," Transportation, Springer, vol. 45(5), pages 1499-1522, September.
  34. De Witte, Astrid & Hollevoet, Joachim & Dobruszkes, Frédéric & Hubert, Michel & Macharis, Cathy, 2013. "Linking modal choice to motility: A comprehensive review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 329-341.
  35. Che, Yi & Du, Julan & Lu, Yi & Tao, Zhigang, 2017. "Institutional Difference and FDI Location Choice: Evidence from China," MPRA Paper 77158, University Library of Munich, Germany.
  36. Saleh, Wafaa & Farrell, Séona, 2005. "Implications of congestion charging for departure time choice: Work and non-work schedule flexibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 773-791.
  37. Elizabeth Sall & Chandra Bhat, 2007. "An Analysis of Weekend Work Activity Patterns in the San Francisco Bay Area," Transportation, Springer, vol. 34(2), pages 161-175, March.
  38. Nurul Habib, Khandker M. & Day, Nicholas & Miller, Eric J., 2009. "An investigation of commuting trip timing and mode choice in the Greater Toronto Area: Application of a joint discrete-continuous model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 639-653, August.
  39. Aaditya, Bh. & Rahul, T.M., 2021. "Psychological impacts of COVID-19 pandemic on the mode choice behaviour: A hybrid choice modelling approach," Transport Policy, Elsevier, vol. 108(C), pages 47-58.
  40. Andrew Daly & Stephane Hess & Geoff Hyman & John Polak & Charlene Rohr, 2005. "Modelling departure time and mode choice," ERSA conference papers ersa05p688, European Regional Science Association.
  41. Lam, William H.K. & Li, Zhi-Chun & Huang, Hai-Jun & Wong, S.C., 2006. "Modeling time-dependent travel choice problems in road networks with multiple user classes and multiple parking facilities," Transportation Research Part B: Methodological, Elsevier, vol. 40(5), pages 368-395, June.
  42. Ho, Chinh Q. & Hensher, David A. & Wang, Shangbo, 2020. "Joint estimation of mode and time of day choice accounting for arrival time flexibility, travel time reliability and crowding on public transport," Journal of Transport Geography, Elsevier, vol. 87(C).
  43. 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.
  44. Enaux, Christophe & Gerber, Philippe, 2014. "Beliefs about energy, a factor in daily ecological mobility?," Journal of Transport Geography, Elsevier, vol. 41(C), pages 154-162.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.