IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt7vd6g464.html
   My bibliography  Save this paper

Equity Analysis of Land Use and Transport Plans Using an Integrated Spatial Model

Author

Listed:
  • Rodier, Caroline J.
  • Abraham, John E.
  • Dix, Brenda N.
  • Hunt, John Douglas Dr.

Abstract

This paper describes a study to investigate how a spatial economic model can be used to evaluate the equity effects of land use and transport policies intended to reduce greenhouse gas emissions. The Activity Allocation Module of the PECAS (Production, Exchange, and Consumption Allocation) Model for the Sacramento region is used to simulate two scenarios for the year 2035 arising from a recent planning process, ‘Business-As-Usual’ and ‘Preferred Blueprint.’ Advanced aggregate travel models and activity-based travel models have been applied to evaluate distributions of travel time and cost effects of transport and land use policies across different socio-economic groups. But the PECAS model system, with its representation of the interactions among the transport system and the rest of the spatial economic system, enables an evaluation of the distributions of a wider range of economic impacts, including wages, rents, productivity, and consumer surplus, for segments of households, labor, and industry. In this study, the PECAS model is applied to illustrate the distributional measures that can be obtained from this type of model and to provide insights into the equity effects of different transport and land development patterns. The results show that a more compact urban form designed around transit stations may reduce travel costs, wages, and housing costs by increasing accessibility, which can lead to substantial net benefits for industry categories and lower income households. Higher income households may be net losers, since their incomes are more dependent on reduced wages, they are less willing to switch to higher density dwellings, and they are more likely to own their own home.

Suggested Citation

  • Rodier, Caroline J. & Abraham, John E. & Dix, Brenda N. & Hunt, John Douglas Dr., 2009. "Equity Analysis of Land Use and Transport Plans Using an Integrated Spatial Model," Institute of Transportation Studies, Working Paper Series qt7vd6g464, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt7vd6g464
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/7vd6g464.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Deakin, Elizabeth & Harvey, Greig & Pozdena, Randall & Yarema, Geoffrey, 1996. "Transportation Pricing Strategies for California: An Assessment of Congestion, Emissions, Energy. And Equity Impacts," University of California Transportation Center, Working Papers qt723002kt, University of California Transportation Center.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bills, Tierra S. & Walker, Joan L., 2017. "Looking beyond the mean for equity analysis: Examining distributional impacts of transportation improvements," Transport Policy, Elsevier, vol. 54(C), pages 61-69.
    2. Ricciardi, Anthony Michael & Xia, Jianhong(Cecilia) & Currie, Graham, 2015. "Exploring public transport equity between separate disadvantaged cohorts: a case study in Perth, Australia," Journal of Transport Geography, Elsevier, vol. 43(C), pages 111-122.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. King, David & Manville, Michael & Shoup, Donald, 2007. "The political calculus of congestion pricing," University of California Transportation Center, Working Papers qt9js9z8gz, University of California Transportation Center.
    2. Rodier, Caroline J., 2009. "A Review of the International Modeling Literature: Transit, Land Use, and Auto Pricing Strategies to Reduce Vehicle Miles Traveled and Greenhouse Gas Emissions," Institute of Transportation Studies, Working Paper Series qt2jh2m3ps, Institute of Transportation Studies, UC Davis.
    3. Wenjia Zhang & Ming Zhang, 2018. "Incorporating land use and pricing policies for reducing car dependence: Analytical framework and empirical evidence," Urban Studies, Urban Studies Journal Limited, vol. 55(13), pages 3012-3033, October.
    4. Ho, Chinh Q. & Mulley, Corinne, 2013. "Multiple purposes at single destination: A key to a better understanding of the relationship between tour complexity and mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 206-219.
    5. Souche, Stéphanie, 2009. "Un exemple d’estimation de la demande de transport urbain," Revue d'économie régionale et urbaine, Editions NecPlus, vol. 2009(04), pages 759-779, December.
    6. Roorda, Matthew J. & Miller, Eric J. & Habib, Khandker M.N., 2008. "Validation of TASHA: A 24-h activity scheduling microsimulation model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 360-375, February.
    7. Surabhi Gupta & Sukumar Kalmanje & Kara M. Kockelman, 2005. "Road Pricing Simulations: Traffic, Land Use and Welfare Impacts for Austin, Texas," Transportation Planning and Technology, Taylor & Francis Journals, vol. 29(1), pages 1-23, December.
    8. João De Abreu e Silva, 2018. "The Effects of Land-Use Patterns on Home-Based Tour Complexity and Total Distances Traveled: A Path Analysis," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    9. Pirdavani, Ali & Bellemans, Tom & Brijs, Tom & Kochan, Bruno & Wets, Geert, 2014. "Assessing the road safety impacts of a teleworking policy by means of geographically weighted regression method," Journal of Transport Geography, Elsevier, vol. 39(C), pages 96-110.
    10. Farber, Steven & Bartholomew, Keith & Li, Xiao & Páez, Antonio & Nurul Habib, Khandker M., 2014. "Assessing social equity in distance based transit fares using a model of travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 291-303.
    11. Katrien Ramaekers & Sofie Reumers & Geert Wets & Mario Cools, 2013. "Modelling Route Choice Decisions of Car Travellers Using Combined GPS and Diary Data," Networks and Spatial Economics, Springer, vol. 13(3), pages 351-372, September.
    12. Nuworsoo, Cornelius & Golub, Aaron & Deakin, Elizabeth, 2009. "Analyzing equity impacts of transit fare changes: Case study of Alameda-Contra Costa Transit, California," Evaluation and Program Planning, Elsevier, vol. 32(4), pages 360-368, November.
    13. Harrington, Winston & McConnell, Virginia D. & Cannon, Matthew, 1998. "A Behavioral Analysis of EPA's MOBILE Emission Factor Model," Discussion Papers 10676, Resources for the Future.
    14. Timothy Welch & Sabyasachee Mishra, 2014. "Envisioning an emission diet: application of travel demand mechanisms to facilitate policy decision making," Transportation, Springer, vol. 41(3), pages 611-631, May.
    15. Souche, Stéphanie, 2010. "Measuring the structural determinants of urban travel demand," Transport Policy, Elsevier, vol. 17(3), pages 127-134, May.
    16. Kuehnel, Nico & Ziemke, Dominik & Moeckel, Rolf & Nagel, Kai, 2020. "The end of travel time matrices: Individual travel times in integrated land use/transport models," Journal of Transport Geography, Elsevier, vol. 88(C).
    17. 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.
    18. Chinh Ho & Corinne Mulley, 2013. "Tour-based mode choice of joint household travel patterns on weekend and weekday," Transportation, Springer, vol. 40(4), pages 789-811, July.
    19. Ho, Chinh Q. & Hensher, David A., 2016. "A workplace choice model accounting for spatial competition and agglomeration effects," Journal of Transport Geography, Elsevier, vol. 51(C), pages 193-203.
    20. Ali Najmi & Taha H. Rashidi & Eric J. Miller, 2019. "A novel approach for systematically calibrating transport planning model systems," Transportation, Springer, vol. 46(5), pages 1915-1950, October.

    More about this item

    Keywords

    UCD-ITS-RR-09-46; Engineering;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsdav:qt7vd6g464. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.