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Integration of an Activity-based Model System and a Residential Location Model

Author

Listed:
  • Moshe Ben-Akiva

    (Massachusetts Institute of Technology, Room 1-181, 77 Massachusetts Avenue, Cambridge, Massachusetts, 02139, USA, mba@mit.edu)

  • John L. Bowman

    (Massachusetts Institute of Technology, Room 5-004, 77 Massachusetts Avenue, Cambridge, Massachusetts, 02139, USA, jlbowman@mil.edu)

Abstract

We present an integrated discrete choice model system of a household's residential location choice and its members' activity and travel schedules. A daily schedule consists of tours, characterised by destinations, times of day and travel modes. The activity and travel models supply the residential model with an accessibility measure for each household member, namely the expected maximum utility among available daily activity schedules, conditioned by the chosen pattern of tours and, for workers, the workplace. A nested logit model system is estimated and applied for Boston. It does not fit the data quite as well as a work-trip-based comparison model, but its predictions capture additional effects attributable to the more comprehensive accessibility measure.

Suggested Citation

  • Moshe Ben-Akiva & John L. Bowman, 1998. "Integration of an Activity-based Model System and a Residential Location Model," Urban Studies, Urban Studies Journal Limited, vol. 35(7), pages 1131-1153, June.
    • Handle: RePEc:sae:urbstu:v:35:y:1998:i:7:p:1131-1153
    DOI: 10.1080/0042098984529
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    References listed on IDEAS

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    1. A Anas, 1984. "Discrete Choice Theory and the General Equilibrium of Employment, Housing, and Travel Networks in a Lowry-Type Model of the Urban Economy," Environment and Planning A, , vol. 16(11), pages 1489-1502, November.
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    Cited by:

    1. Guerra, Erick, 2015. "The geography of car ownership in Mexico City: a joint model of households’ residential location and car ownership decisions," Journal of Transport Geography, Elsevier, vol. 43(C), pages 171-180.
    2. Jan U. Becker & Sönke Albers, 2016. "The limits of analyzing service quality data in public transport," Transportation, Springer, vol. 43(5), pages 823-842, September.
    3. Marois, Guillaume & Lord, Sébastien & Morency, Catherine, 2019. "A mixed logit model analysis of residential choices of the young-elderly in the Montreal metropolitan area," Journal of Housing Economics, Elsevier, vol. 44(C), pages 141-149.
    4. Zhai, Wei & Bai, Xueyin & Peng, Zhong-ren & Gu, Chaolin, 2019. "From edit distance to augmented space-time-weighted edit distance: Detecting and clustering patterns of human activities in Puget Sound region," Journal of Transport Geography, Elsevier, vol. 78(C), pages 41-55.
    5. Prashker, Joseph & Shiftan, Yoram & Hershkovitch-Sarusi, Pazit, 2008. "Residential choice location, gender and the commute trip to work in Tel Aviv," Journal of Transport Geography, Elsevier, vol. 16(5), pages 332-341.
    6. Allahviranloo, Mahdieh & Aissaoui, Leila, 2019. "A comparison of time-use behavior in metropolitan areas using pattern recognition techniques," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 271-287.
    7. Ho, Chinh Q. & Hensher, David A. & Ellison, Richard, 2017. "Endogenous treatment of residential location choices in transport and land use models: Introducing the MetroScan framework," Journal of Transport Geography, Elsevier, vol. 64(C), pages 120-131.
    8. Cho, Eun Joo & Rodriguez, Daniel & Song, Yan, 2008. "The Role of Employment Subcenters in Residential Location Decisions," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(2), pages 121-151.
    9. 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.
    10. Le Vine, Scott & Lee-Gosselin, Martin & Sivakumar, Aruna & Polak, John, 2013. "A new concept of accessibility to personal activities: development of theory and application to an empirical study of mobility resource holdings," Journal of Transport Geography, Elsevier, vol. 31(C), pages 1-10.
    11. Khan, Mubassira & Machemehl, Randy, 2017. "Analyzing tour chaining patterns of urban commercial vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 84-97.
    12. Bagley, Michael N, 1999. "Incorporating Residential Choice into Travel Behavior-Land Use Interaction Research: A Conceptual Model with Methodologies for Investigating Causal Relationships," University of California Transportation Center, Working Papers qt2ws1x83f, University of California Transportation Center.
    13. Schirmer, Patrick & van Eggermond, Michael & Axhausen, Kay, 2014. "The role of location in residential location choice models: a review of literature," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 3-21.
    14. Sener, Ipek N. & Pendyala, Ram M. & Bhat, Chandra R., 2011. "Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior," Journal of Transport Geography, Elsevier, vol. 19(2), pages 294-303.
    15. Abdul Rawoof Pinjari & Chandra R. Bhat, 2011. "Activity-based Travel Demand Analysis," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 10, Edward Elgar Publishing.

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