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

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  • 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
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    References listed on IDEAS

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    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, August.
    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.
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    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. 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.
    4. Wang, Yaoli & Winter, Stephan & Tomko, Martin, 2018. "Collaborative activity-based ridesharing," Journal of Transport Geography, Elsevier, vol. 72(C), pages 131-138.
    5. 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).

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