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Computational-Process Modelling of Household Travel Decisions Using a Geographical Information System

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  • Golledge, Reginald G.
  • Kwan, Mei-Po
  • Garling, Tommy

Abstract

Household travel behavior 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 modelling 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 households' travel behavior is illustrated in a case study of a single household in which one member started telecommuting.

Suggested Citation

  • Golledge, Reginald G. & Kwan, Mei-Po & Garling, Tommy, 1994. "Computational-Process Modelling of Household Travel Decisions Using a Geographical Information System," University of California Transportation Center, Working Papers qt4kk8w93s, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt4kk8w93s
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    References listed on IDEAS

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    1. T Gärling & E Gärling, 1988. "Distance Minimization in Downtown Pedestrian Shopping," Environment and Planning A, , vol. 20(4), pages 547-554, April.
    2. S Gopal & T R Smith, 1990. "Human Way-Finding in an Urban Environment: A Performance Analysis of a Computational Process Model," Environment and Planning A, , vol. 22(2), pages 169-191, February.
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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. Golledge, Reginald G & Zhou, Jack, 1999. "A GPS-based Analysis of Household Travel Behavior," University of California Transportation Center, Working Papers qt3hg1f5nb, University of California Transportation Center.
    3. Zhou, Jack & Golledge, Reginald, 1999. "A GPS-based Analysis Household Travel Behavior," University of California Transportation Center, Working Papers qt3zf8h075, University of California Transportation Center.
    4. Tommy Gärling & Robert Gillholm & William Montgomery, 1999. "The role of anticipated time pressure in activity scheduling," Transportation, Springer, vol. 26(2), pages 173-191, May.
    5. 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.
    6. Golledge, R. & Costanzo, C. M. & Marston, J., 1996. "Public Transit Use By Non-driving Disabled Persons: The Case Of The Blind And Vision Impaired," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1bm0q1q2, Institute of Transportation Studies, UC Berkeley.
    7. Francois Des Rosiers & Marius Thériault & Paul-Y Villeneuve & Yan Kestens, 2001. "Isolating Spatial from A-spatial Components of Housing Attributes Using Kriging Techniques," ERES eres2001_149, European Real Estate Society (ERES).
    8. 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.
    9. Golledge, Reginald G. & Costanzo, C. Michael & Marston, James R., 1996. "The Mass Transit Needs Of A Non-driving Disabled Population," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5rk1121g, Institute of Transportation Studies, UC Berkeley.
    10. 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.
    11. 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.
    12. 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.
    13. Pougala, Janody & Hillel, Tim & Bierlaire, Michel, 2022. "Capturing trade-offs between daily scheduling choices," Journal of choice modelling, Elsevier, vol. 43(C).
    14. Golledge, Reginald G. & Zhou, Jianyu, 2001. "GPS-Based Tracking of Daily Activities," University of California Transportation Center, Working Papers qt9jb438r2, University of California Transportation Center.
    15. Arentze, Theo A. & Timmermans, Harry J. P., 2004. "A learning-based transportation oriented simulation system," Transportation Research Part B: Methodological, Elsevier, vol. 38(7), pages 613-633, August.
    16. Bian, Zheyong & Liu, Xiang, 2019. "Mechanism design for first-mile ridesharing based on personalized requirements part I: Theoretical analysis in generalized scenarios," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 147-171.

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