IDEAS home Printed from https://ideas.repec.org/p/sur/seedps/112.html
   My bibliography  Save this paper

Food Superstores, Food Deserts and Traffic Generation in the UK: A Semi-Parametric Regression Approach

Author

Listed:
  • Colin Black

    (JMP Consultants Ltd., London)

  • David C Broadstock

    (Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey)

  • Alan Collins

    (Department of Economics, University of Portsmouth)

  • Lester C Hunt

    (Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey)

Abstract

This study contributes another route towards explaining and tackling ‘food desert’ effects. It features the estimation of a (semi-parametric) trip attraction model for food superstores in the UK using a composite dataset. The data comprises information from the UK Census of Population, the NOMIS (National Online Manpower Information System) archive and traffic and site-specific data from the TRICS (Trip Rate Information Computer System) databases. The results indicate that traffic to a given food superstore, ceteris paribus, increases with household car ownership, store parking provision, site size (floor space), and distance to the nearest competitor. Furthermore, increases in public transport provision are shown to be associated with increasing car trips. This latter effect is discussed in the light of planning policy for development control purposes and a role linked to the reinforcement of ‘food deserts’. The results also reveal activity-specific household economies of scope and scale. It is suggested how these may also further perpetuate unsustainable development and ‘food desert’ characteristics.

Suggested Citation

  • Colin Black & David C Broadstock & Alan Collins & Lester C Hunt, 2006. "Food Superstores, Food Deserts and Traffic Generation in the UK: A Semi-Parametric Regression Approach," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 112, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
  • Handle: RePEc:sur:seedps:112
    as

    Download full text from publisher

    File URL: http://www.seec.surrey.ac.uk/Research/SEEDS/SEEDS112.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. James G. MacKinnon, 2002. "Bootstrap inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 35(4), pages 615-645, November.
    2. Mackett, Roger L., 1993. "Structure of linkages between transport and land use," Transportation Research Part B: Methodological, Elsevier, vol. 27(3), pages 189-206, June.
    3. Nelson, Julie A, 1988. "Household Economies of Scale in Consumption: Theory and Evidence," Econometrica, Econometric Society, vol. 56(6), pages 1301-1314, November.
    4. Mokhtarian, Patricia L & Salomon, Ilan & S, Lothlorien, 2001. "Understanding the Demand for Travel: It's Not Purely 'Derived'," University of California Transportation Center, Working Papers qt5bh2d8mh, University of California Transportation Center.
    5. David J. Mckenzie, 2001. "Estimation of AR(1) models with unequally spaced pseudo-panels," Econometrics Journal, Royal Economic Society, vol. 4(1), pages 1-40.
    6. Meyer, Michael D., 1999. "Demand management as an element of transportation policy: using carrots and sticks to influence travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 575-599.
    7. Lazear, Edward P & Michael, Robert T, 1980. "Family Size and the Distribution of Real Per Capita Income," American Economic Review, American Economic Association, vol. 70(1), pages 91-107, March.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Traffic Generation; Food Superstores; Food Deserts; Activity Based Travel; Sustainable Development; Modelling;

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:sur:seedps:112. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mona Chitnis). General contact details of provider: http://edirc.repec.org/data/eesuruk.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.