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Measuring the impact of efficient household travel decisions on potential travel time savings and accessibility gains

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  • Recker, W. W.
  • Chen, C.
  • McNally, M. G.

Abstract

Using the conceptual framework of time-space geography, this paper incorporates both spatio-temporal constraints and household interaction effects into a meaningful measure of the potential of a household to interact with the built environment. Within this context, personal accessibility is described as a measure of the potential ability of individuals within a household not only to reach activity opportunities, but to do so with sufficient time available for participation in those activities, subject to the spatio-temporal constraints imposed by their daily obligations and transportation supply environment. The incorporation of activity-based concepts in the measurement of accessibility as a product of travel time savings not only explicitly acknowledges a temporal dimension in assessing the potential for spatial interaction but also expands the applicability of accessibility consideration to such real-world policy options as the promotion of ride-sharing and trip chaining behaviors. An empirical application of the model system provides an indication of the potential of activity-based modeling approaches to assess the bounds on achievable improvements in accessibility and travel time based on daily household activity patterns. It also provides an assessment of roles for trip chaining and ride-sharing as potentially effective methods to facilitate transportation policy objectives.

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  • Recker, W. W. & Chen, C. & McNally, M. G., 2001. "Measuring the impact of efficient household travel decisions on potential travel time savings and accessibility gains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 339-369, May.
    • Handle: RePEc:eee:transa:v:35:y:2001:i:4:p:339-369
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    References listed on IDEAS

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    Cited by:

    1. Andre De Palma & Fay Dunkerley & Stef Proost, 2010. "Trip Chaining: Who Wins Who Loses?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(1), pages 223-258, March.
    2. Karst T Geurs & Bert van Wee & Piet Rietveld, 2006. "Accessibility Appraisal of Integrated Land-Use — Transport Strategies: Methodology and Case Study for the Netherlands Randstad Area," Environment and Planning B, , vol. 33(5), pages 639-660, October.
    3. Yukuan Dong & Xi Chen & Dongyang Lv & Qiushi Wang, 2023. "Evaluation of Urban Green Space Supply and Demand Based on Mobile Signal Data: Taking the Central Area of Shenyang City as an Example," Land, MDPI, vol. 12(9), pages 1-20, September.
    4. Rivera-Gonzalez, Carlos & Amaral, Julia C., 2024. "Assessment of freight accessibility in New York City: A spatial-temporal approach," Journal of Transport Geography, Elsevier, vol. 114(C).
    5. Marco Alderighi, 2013. "Air accessibility and the export of Italian manufacture in Europe: Evidence at regional level," ERSA conference papers ersa13p1304, European Regional Science Association.
    6. Bautista-Hernández, Dorian Antonio, 2022. "Individual, household, and urban form determinants of trip chaining of non-work travel in México City," Journal of Transport Geography, Elsevier, vol. 98(C).
    7. Cascetta, Ennio & Cartenì, Armando & Montanino, Marcello, 2016. "A behavioral model of accessibility based on the number of available opportunities," Journal of Transport Geography, Elsevier, vol. 51(C), pages 45-58.
    8. Tijs Neutens & Tim Schwanen & Frank Witlox & Philippe De Maeyer, 2010. "Equity of Urban Service Delivery: A Comparison of Different Accessibility Measures," Environment and Planning A, , vol. 42(7), pages 1613-1635, July.
    9. Jesus Gonzalez-Feliu & Aurélie Mercier, 2013. "A combined people-freight accessibility approach for urban retailing and leisure planning at strategic level," Post-Print halshs-00919537, HAL.
    10. Tufayel Chowdhury & Darren M. Scott, 2020. "Role of the built environment on trip-chaining behavior: an investigation of workers and non-workers in Halifax, Nova Scotia," Transportation, Springer, vol. 47(2), pages 737-761, April.
    11. Bindu Panikkar & Qing Ren & Fosca Bechthold, 2023. "Transportation Justice in Vermont Communities of High Environmental Risk," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    12. Cascetta, Ennio & Cartenì, Armando & Henke, Ilaria & Pagliara, Francesca, 2020. "Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 412-428.
    13. Recker, Will W & Duan, J. & Wang, H., 2008. "Development of an estimation procedure for an activity-based travel demand model," University of California Transportation Center, Working Papers qt0rz778v6, University of California Transportation Center.
    14. Aksel Ersoy, 2016. "Impact of Accessibility and Knowledge Creation on Local and Regional Development in Turkey," Growth and Change, Wiley Blackwell, vol. 47(4), pages 648-663, December.
    15. Gan, Li Ping & Recker, Will, 2008. "A mathematical programming formulation of the household activity rescheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 42(6), pages 571-606, July.
    16. Huiying Wen & Yuchen Zeng & Zuogan Tang, 2019. "Sustainability and Resource Equilibrium Evaluation of a Tourism Traffic Network Based on a Tourism Traffic Matching Curve," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    17. Li Ping Gan & Will Recker, 2013. "Stochastic Preplanned Household Activity Pattern Problem with Uncertain Activity Participation (SHAPP)," Transportation Science, INFORMS, vol. 47(3), pages 439-454, August.

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