IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v172y2023ics096585642300085x.html
   My bibliography  Save this article

Need-based approach for modeling multiday activity participation patterns and identifying the impact of activity/travel conditions

Author

Listed:
  • Cho, WooKeol
  • Chung, Jin-Hyuk
  • Kim, Jinhee

Abstract

People consume time and space given to them in order to participate in various activities, and the range of time and space that individuals can consume differs according to activity/travel conditions such as the working time, commuting time, the quality of transport infrastructure, etc. The accessibility toward opportunities to participate in these activities may have an impact on individual’s quality of life, and the accessibility to non-work activities has a larger impact than accessibility to mandatory activities. Therefore, the research objective of this paper was to examine how activity/travel conditions affected activity participation patterns.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:transa:v:172:y:2023:i:c:s096585642300085x
    DOI: 10.1016/j.tra.2023.103665
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096585642300085X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2023.103665?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Soora Rasouli & Harry Timmermans, 2014. "Activity-based models of travel demand: promises, progress and prospects," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(1), pages 31-60, March.
    2. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan & Axhausen, Kay W., 2005. "An analysis of multiple interepisode durations using a unifying multivariate hazard model," Transportation Research Part B: Methodological, Elsevier, vol. 39(9), pages 797-823, November.
    3. Lee, Ming S. & McNally, Michael G., 2003. "On the Structure of Weekly Activity/Travel Patterns," University of California Transportation Center, Working Papers qt15w464vp, University of California Transportation Center.
    4. Ruben Cordera & Pierluigi Coppola & Luigi dell’Olio & Ángel Ibeas, 2017. "Is accessibility relevant in trip generation? Modelling the interaction between trip generation and accessibility taking into account spatial effects," Transportation, Springer, vol. 44(6), pages 1577-1603, November.
    5. Arentze, Theo A. & Timmermans, Harry J.P., 2009. "A need-based model of multi-day, multi-person activity generation," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 251-265, February.
    6. 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.
    7. Harry Timmermans & Theo Arentze, 2011. "Transport Models and Urban Planning Practice: Experiences with Albatross," Transport Reviews, Taylor & Francis Journals, vol. 31(2), pages 199-207.
    8. Aschauer, Florian & Hössinger, Reinhard & Jara-Diaz, Sergio & Schmid, Basil & Axhausen, Kay & Gerike, Regine, 2021. "Comprehensive data validation of a combined weekly time use and travel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 66-82.
    9. 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.
    10. Sean T. Doherty & Eric J. Miller & Kay W. Axhausen, 2002. "A conceptual model of the weekly household activity/travel scheduling process," Chapters, in: Eliahu Stern & IIan Salomon & Piet H.L. Bovy (ed.), Travel Behaviour, chapter 12, Edward Elgar Publishing.
    11. Erika Spissu & Abdul Pinjari & Chandra Bhat & Ram Pendyala & Kay Axhausen, 2009. "An analysis of weekly out-of-home discretionary activity participation and time-use behavior," Transportation, Springer, vol. 36(5), pages 483-510, September.
    12. Nurul Habib, Khandker, 2018. "Modelling the choice and timing of acquiring a driver’s license: Revelations from a hazard model applied to the University students in Toronto," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 374-386.
    13. Chandra Bhat & Rajul Misra, 1999. "Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends," Transportation, Springer, vol. 26(2), pages 193-229, May.
    14. Iliescu, Dan C. & Garrow, Laurie A. & Parker, Roger A., 2008. "A hazard model of US airline passengers' refund and exchange behavior," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 229-242, March.
    15. Linda Nijland & Theo Arentze & Harry Timmermans, 2013. "Representing and estimating interactions between activities in a need-based model of activity generation," Transportation, Springer, vol. 40(2), pages 413-430, February.
    16. Allen, Jeff & Farber, Steven, 2020. "Planning transport for social inclusion: An accessibility-activity participation approach," SocArXiv ap7wh, Center for Open Science.
    17. Saphores, Jean-Daniel & Xu, Lu, 2021. "E-shopping changes and the state of E-grocery shopping in the US - Evidence from national travel and time use surveys," Research in Transportation Economics, Elsevier, vol. 87(C).
    18. Haque, Md. Mazharul & Oviedo-Trespalacios, Oscar & Sharma, Anshuman & Zheng, Zuduo, 2021. "Examining the driver-pedestrian interaction at pedestrian crossings in the connected environment: A Hazard-based duration modelling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 33-48.
    19. Bhat, Chandra R., 1996. "A generalized multiple durations proportional hazard model with an application to activity behavior during the evening work-to-home commute," Transportation Research Part B: Methodological, Elsevier, vol. 30(6), pages 465-480, December.
    20. Justen, Andreas & Martínez, Francisco J. & Cortés, Cristián E., 2013. "The use of space–time constraints for the selection of discretionary activity locations," Journal of Transport Geography, Elsevier, vol. 33(C), pages 146-152.
    21. Yasmin, Farhana & Morency, Catherine & Roorda, Matthew J., 2015. "Assessment of spatial transferability of an activity-based model, TASHA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 200-213.
    22. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. WooKeol Cho & Jinhee Kim & Jin-Hyuk Chung, 2023. "A Need-Based Approach for Modeling Recurrent Discretionary Activity Participation Patterns for Travel Demand Analysis," Sustainability, MDPI, vol. 15(21), pages 1-20, October.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Tai-Yu Ma & Iragaël Joly & Charles Raux, 2010. "A shared frailty semi-parametric markov renewal model for travel and activity time-use pattern analysis," Working Papers hal-00477695, HAL.
    7. Nursitihazlin Ahmad Termida & Yusak O. Susilo & Joel P. Franklin, 2016. "Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year," Transportation, Springer, vol. 43(6), pages 997-1021, November.
    8. Allahviranloo, Mahdieh & Recker, Will, 2013. "Daily activity pattern recognition by using support vector machines with multiple classes," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 16-43.
    9. 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.
    10. Ta, Na & Zhao, Ying & Chai, Yanwei, 2016. "Built environment, peak hours and route choice efficiency: An investigation of commuting efficiency using GPS data," Journal of Transport Geography, Elsevier, vol. 57(C), pages 161-170.
    11. Luz, Gregório & Barboza, Matheus H.C. & Portugal, Licinio & Giannotti, Mariana & van Wee, Bert, 2022. "Does better accessibility help to reduce social exclusion? Evidence from the city of São Paulo, Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 186-217.
    12. Luz, Gregorio & Barboza, Matheus Henrique Cunha & da Silva Portugal, Licinio & Giannotti, Mariana & van Wee, Bert, 2022. "Does better accessibility help to reduce social exclusion? Evidence from the City of São Paulo, Brazil," SocArXiv 2p896, Center for Open Science.
    13. Charles Raux & Tai-Yu Ma & Eric Cornelis, 2011. "Variability versus stability in daily travel and activity behaviour. The case of a one week travel diary," Working Papers halshs-00612610, HAL.
    14. Dane, Gamze & Arentze, Theo A. & Timmermans, Harry J.P. & Ettema, Dick, 2014. "Simultaneous modeling of individuals’ duration and expenditure decisions in out-of-home leisure activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 93-103.
    15. Maya Abou-Zeid & Moshe Ben-Akiva, 2012. "Well-being and activity-based models," Transportation, Springer, vol. 39(6), pages 1189-1207, November.
    16. Ruiz, Tomás & Habib, Khandker Nurul, 2016. "Scheduling decision styles on leisure and social activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 304-317.
    17. Fang, Zhixiang & Tu, Wei & Li, Qingquan & Li, Qiuping, 2011. "A multi-objective approach to scheduling joint participation with variable space and time preferences and opportunities," Journal of Transport Geography, Elsevier, vol. 19(4), pages 623-634.
    18. Linda Nijland & Theo Arentze & Harry Timmermans, 2013. "Representing and estimating interactions between activities in a need-based model of activity generation," Transportation, Springer, vol. 40(2), pages 413-430, February.
    19. Yusak Susilo & Kay Axhausen, 2014. "Repetitions in individual daily activity–travel–location patterns: a study using the Herfindahl–Hirschman Index," Transportation, Springer, vol. 41(5), pages 995-1011, September.
    20. Wu, Guoqiang & Hong, Jinhyun, 2022. "An analysis of the role of residential location on the relationships between time spent online and non-mandatory activity-travel time use over time," Journal of Transport Geography, Elsevier, vol. 102(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:172:y:2023:i:c:s096585642300085x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.