IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa10p1036.html
   My bibliography  Save this paper

Adaptive zoning and its effectiveness in spatial economic activity simulation

Author

Listed:
  • Alex Hagen-Zanker

    ()

  • Ying Jin

    ()

Abstract

In modelling spatial economic interactions such as embodied in the movements of people and goods, the study area is usually subdivided into geographic units, i.e. zones, to represent the origin, destination and any stop-over locations. In most cases, model precision tends to improve as the study area is subdivided into increasingly small zones. Smaller zones however come at the cost of increased run-time. In practice the modeller often has to compromise on the resolution or the geographic coverage, which impinges upon model accuracy and applicability. Current trends in spatial economic interactions are calling for larger study areas and finer spatial details: As transport and telecommunications improve, the realm of spatial interaction continues to expand. Furthermore, the rapid expansion in e-monitoring of the movements of goods and people is offering ever-increasing spatial detail. The combined impact is a strong need to expand spatial model coverage whilst capturing local details. This paper reports on the development of an innovative zoning. The basic idea is to use more detailed zoning where interaction is stronger, e.g. at shorter distance or between higher density areas. Instead of a single zonal division for the whole study area, the zoning scheme consists of one specific zonal division for each respective location (atomic zone) in the study area, adapted to the interaction flows to and from that location. Incorporating this adaptive zoning scheme improves the scaling behaviour of spatial interaction and choice models, as the number of interactions per zone is no longer equal to the number of zones, but - depending on the precise nature of the interaction - logarithmic to it instead. The adaptive zoning scheme will require models to be adjusted to the new geographical representation. This paper will therefore detail the required modifications to a typical doubly-constrained spatial interaction model. Application on commuting patterns in England demonstrates that the adoptive zoning scheme can reduce the number of spatial interactions by as much as 95% whilst maintaining a fine granularity.

Suggested Citation

  • Alex Hagen-Zanker & Ying Jin, 2011. "Adaptive zoning and its effectiveness in spatial economic activity simulation," ERSA conference papers ersa10p1036, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa10p1036
    as

    Download full text from publisher

    File URL: http://www-sre.wu.ac.at/ersa/ersaconfs/ersa10/ERSA2010finalpaper1036.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Juan Carlos Duque & Raúl Ramos & Jordi Suriñach, 2007. "Supervised Regionalization Methods: A Survey," International Regional Science Review, , vol. 30(3), pages 195-220, July.
    2. P B Slater & C Wymer (referee), 1987. "Algorithm 13: Strong component hierarchical clustering," Environment and Planning A, Pion Ltd, London, vol. 19(1), pages 117-125, January.
    3. P B Slater & Referee C Wymer, 1987. "Algorithm 13: Strong Component Hierarchical Clustering," Environment and Planning A, , vol. 19(1), pages 117-125, January.
    4. S Openshaw, 1977. "Optimal Zoning Systems for Spatial Interaction Models," Environment and Planning A, , vol. 9(2), pages 169-184, February.
    5. S Openshaw, 1977. "Optimal zoning systems for spatial interaction models," Environment and Planning A, Pion Ltd, London, vol. 9(2), pages 169-184, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wiw:wiwrsa:ersa10p1036. 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: (Gunther Maier). General contact details of provider: http://www.ersa.org .

    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.