IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v33y2013icp146-152.html
   My bibliography  Save this article

The use of space–time constraints for the selection of discretionary activity locations

Author

Listed:
  • Justen, Andreas
  • Martínez, Francisco J.
  • Cortés, Cristián E.

Abstract

The development of methods of studying individuals’ selection of discretionary activity locations remains a challenge for empirical analysts and transport modelers. Time geography and, in particular, the concept of space–time constraints provides a useful framework for these selection processes. In this work we empirically determine space–time constraints from the Chilean household and travel survey. Based on a specific activity pattern example, where trips are made from home to work to a discretionary activity and back home, we estimate detour factors. Detour factors describe the spatial deviations that are made from the home-work axis to conduct the discretionary activity. Using GIS we estimate potential path areas (PPAs), where discretionary activities may be located. Within the PPAs, applying a time constraint that is the maximum daily travel time refines the selection of discretionary activity locations. The thresholds of the daily travel time vary according to the PPA-size and mode combinations. We were able to reproduce between 38% and 72% of the discretionary location choices observed in the survey (according to the rigor of the constraints applied).

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:33:y:2013:i:c:p:146-152
    DOI: 10.1016/j.jtrangeo.2013.10.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692313002068
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2013.10.009?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
    ---><---

    References listed on IDEAS

    as
    1. Schönfelder, Stefan & Axhausen, Kay W., 2003. "Activity spaces: measures of social exclusion?," Transport Policy, Elsevier, vol. 10(4), pages 273-286, October.
    2. Ennio Cascetta, 2009. "Transportation Systems Analysis," Springer Optimization and Its Applications, Springer, number 978-0-387-75857-2, September.
    3. Seo Yoon & Kathleen Deutsch & Yali Chen & Konstadinos Goulias, 2012. "Feasibility of using time–space prism to represent available opportunities and choice sets for destination choice models in the context of dynamic urban environments," Transportation, Springer, vol. 39(4), pages 807-823, July.
    4. Davidson, William & Donnelly, Robert & Vovsha, Peter & Freedman, Joel & Ruegg, Steve & Hicks, Jim & Castiglione, Joe & Picado, Rosella, 2007. "Synthesis of first practices and operational research approaches in activity-based travel demand modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 464-488, June.
    5. Farber, Steven & Páez, Antonio, 2011. "Running to stay in place: the time-use implications of automobile oriented land-use and travel," Journal of Transport Geography, Elsevier, vol. 19(4), pages 782-793.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Tsoleridis, Panagiotis & Choudhury, Charisma F. & Hess, Stephane, 2023. "Probabilistic choice set formation incorporating activity spaces into the context of mode and destination choice modelling," Journal of Transport Geography, Elsevier, vol. 108(C).
    2. Leite Mariante, Gabriel & Ma, Tai-Yu & Van Acker, Véronique, 2018. "Modeling discretionary activity location choice using detour factors and sampling of alternatives for mixed logit models," Journal of Transport Geography, Elsevier, vol. 72(C), pages 151-165.
    3. 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).
    4. 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.
    5. Wang, Yaoli & Winter, Stephan & Tomko, Martin, 2018. "Collaborative activity-based ridesharing," Journal of Transport Geography, Elsevier, vol. 72(C), pages 131-138.

    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. Farber, Steven & Li, Xiao, 2013. "Urban sprawl and social interaction potential: an empirical analysis of large metropolitan regions in the United States," Journal of Transport Geography, Elsevier, vol. 31(C), pages 267-277.
    2. 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.
    3. Rongxiang Su & Somayeh Dodge & Konstadinos G. Goulias, 2022. "Understanding the impact of temporal scale on human movement analytics," Journal of Geographical Systems, Springer, vol. 24(3), pages 353-388, July.
    4. Paola Panuccio, 2019. "Smart Planning: From City to Territorial System," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    5. Zhang, Wen & Susilo, Yusak O. & Ahmad Termida, Nursitihazlin, 2016. "Investigating the interactions between travellers' familiar areas and their multi-day activity locations," Journal of Transport Geography, Elsevier, vol. 53(C), pages 61-73.
    6. Kepaptsoglou, Konstantinos & Stathopoulos, Antony & Karlaftis, Matthew G., 2017. "Ridership estimation of a new LRT system: Direct demand model approach," Journal of Transport Geography, Elsevier, vol. 58(C), pages 146-156.
    7. Piyapong Suwanno & Chaiwat Yaibok & Noriyasu Tsumita & Atsushi Fukuda & Kestsirin Theerathitichaipa & Manlika Seefong & Sajjakaj Jomnonkwao & Rattanaporn Kasemsri, 2023. "Estimation of the Evacuation Time According to Different Flood Depths," Sustainability, MDPI, vol. 15(7), pages 1-23, April.
    8. Di Cataldo, Marco & Rodríguez-Pose, Andrés, 2016. "What drives employment growth and social inclusion in EU regions," LSE Research Online Documents on Economics 68510, London School of Economics and Political Science, LSE Library.
    9. Marina Toger & Karima Kourtit & Peter Nijkamp & John Östh, 2021. "Mobility during the COVID-19 Pandemic: A Data-Driven Time-Geographic Analysis of Health-Induced Mobility Changes," Sustainability, MDPI, vol. 13(7), pages 1-21, April.
    10. Duan, Zhengyu & Zhao, Haoran & Li, Zhenming, 2023. "Non-linear effects of built environment and socio-demographics on activity space," Journal of Transport Geography, Elsevier, vol. 111(C).
    11. Souche, Stéphanie, 2009. "Un exemple d’estimation de la demande de transport urbain," Revue d'économie régionale et urbaine, Editions NecPlus, vol. 2009(04), pages 759-779, December.
    12. Pierluigi Coppola & Fulvio Silvestri, 2021. "Gender Inequality in Safety and Security Perceptions in Railway Stations," Sustainability, MDPI, vol. 13(7), pages 1-15, April.
    13. Helai Huang & Jialing Wu & Fang Liu & Yiwei Wang, 2020. "Measuring Accessibility Based on Improved Impedance and Attractive Functions Using Taxi Trajectory Data," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    14. David Watling & Giulio Cantarella, 2015. "Model Representation & Decision-Making in an Ever-Changing World: The Role of Stochastic Process Models of Transportation Systems," Networks and Spatial Economics, Springer, vol. 15(3), pages 843-882, September.
    15. Rinaldi, Marco & Viti, Francesco, 2017. "Exact and approximate route set generation for resilient partial observability in sensor location problems," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 86-119.
    16. Luís M. Fernandes & Joaquim J. Júdice & Hanif D. Sherali & António P. Antunes, 2011. "Siting and Sizing of Facilities under Probabilistic Demands," Journal of Optimization Theory and Applications, Springer, vol. 149(2), pages 420-440, May.
    17. Jue Wang & Mei-Po Kwan & Yanwei Chai, 2018. "An Innovative Context-Based Crystal-Growth Activity Space Method for Environmental Exposure Assessment: A Study Using GIS and GPS Trajectory Data Collected in Chicago," IJERPH, MDPI, vol. 15(4), pages 1-24, April.
    18. Eva Malichová & Ghadir Pourhashem & Tatiana Kováčiková & Martin Hudák, 2020. "Users’ Perception of Value of Travel Time and Value of Ridesharing Impacts on Europeans’ Ridesharing Participation Intention: A Case Study Based on MoTiV European-Wide Mobility and Behavioral Pattern ," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    19. Federico Benassi & Marica D'Elia & Francesca Petrei, 2021. "The “meso” dimension of territorial capital: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 159-175, February.
    20. Allen, Jeff & Palm, Matthew & Aitken, Ignacio Tiznado & Farber, Steven, 2022. "Inequalities of extreme commuting across Canada," OSF Preprints u72ky, Center for Open Science.

    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:jotrge:v:33:y:2013:i:c:p:146-152. 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: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.