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Computational Process Modeling Of Household Travel Decisions Using A Geographical Information System

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  • Reginald G. Golledge
  • Mei‐Po Kwan
  • Tommy Gärling

Abstract

ABSTRACT Household travel behaviour entails interdependent deliberate decisions, as well as the execution of routines not preceded by deliberate decisions. Furthermore, travel decisions are dependent on choices to participate in activities. Because of the complexity of the decision making process in which individuals are engaged, computational process models (CPMs) are promising means of implementing behavioral principles, which, unlike other disaggregate modeling approaches do not rely on a utility maximizing framework. A conceptual framework is proposed as the basis of a CPM interfaced with the geographical information system Arc/Info. How to model household' travel behaviour is illustrated in a case study of a single household in which one member started telecommuting.

Suggested Citation

  • Reginald G. Golledge & Mei‐Po Kwan & Tommy Gärling, 1994. "Computational Process Modeling Of Household Travel Decisions Using A Geographical Information System," Papers in Regional Science, Wiley Blackwell, vol. 73(2), pages 99-117, April.
    • Handle: RePEc:bla:presci:v:73:y:1994:i:2:p:99-117
    DOI: 10.1111/j.1435-5597.1994.tb00605.x
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    Cited by:

    1. Liu, Xintao & Yan, Wai Yeung & Chow, Joseph Y.J., 2015. "Time-geographic relationships between vector fields of activity patterns and transport systems," Journal of Transport Geography, Elsevier, vol. 42(C), pages 22-33.
    2. Bian, Zheyong & Liu, Xiang & Bai, Yun, 2020. "Mechanism design for on-demand first-mile ridesharing," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 77-117.
    3. Sheila Ferrer & Tomás Ruiz, 2017. "Comparison on travel scheduling between driving and walking trips by habitual car users," Transportation, Springer, vol. 44(1), pages 27-48, January.
    4. Auld, Joshua & Mohammadian, Abolfazl (Kouros) & Doherty, Sean T., 2009. "Modeling activity conflict resolution strategies using scheduling process data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 386-400, May.
    5. Auld, Joshua & Mohammadian, Abolfazl(Kouros), 2012. "Activity planning processes in the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1386-1403.
    6. Chandra Bhat & Frank Koppelman, 1999. "A retrospective and prospective survey of time-use research," Transportation, Springer, vol. 26(2), pages 119-139, May.
    7. Pougala, Janody & Hillel, Tim & Bierlaire, Michel, 2022. "Capturing trade-offs between daily scheduling choices," Journal of choice modelling, Elsevier, vol. 43(C).

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