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Recreational Site Choice Modelling Using High-Resolution Spatial Data

Author

Listed:
  • Mette Termansen
  • Colin J McClean
  • Hans Skov-Petersen

    (The Danish Forest and Landscape Research Institute, Hørsholm Kongevej 11, 2970 Hørsholm, Denmark)

Abstract

Geographic information systems (GIS) offer attractive tools for modelling recreational behaviour. In this paper GIS is combined with a discrete choice modelling approach to investigate the importance of landscape attributes for determining forest recreational choices. A new large Danish national dataset (28 947 recreational trips) is used in conjunction with an area information system and information on other site attributes to estimate a recreational choice model. A wide set of landscape characteristics influencing recreational choice is identified. These are the size of the forest patch and adjacency or distance to other land-cover types. The area of the forest patch was found to have a positive marginally declining effect. Adjacency to other seminatural areas was found to have a positive effect. The results show that the parameter estimates depend critically on the choice-set specification and that the size of the choice set needs to be considerably larger than previous research suggests.

Suggested Citation

  • Mette Termansen & Colin J McClean & Hans Skov-Petersen, 2004. "Recreational Site Choice Modelling Using High-Resolution Spatial Data," Environment and Planning A, , vol. 36(6), pages 1085-1099, June.
    • Handle: RePEc:sae:envira:v:36:y:2004:i:6:p:1085-1099
    DOI: 10.1068/a36164
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Bujosa Bestard, Angel & Font, Antoni Riera, 2009. "Environmental diversity in recreational choice modelling," Ecological Economics, Elsevier, vol. 68(11), pages 2743-2750, September.
    2. Zandersen, Marianne & Termansen, Mette & Jensen, Frank S., 2007. "Evaluating approaches to predict recreation values of new forest sites," Journal of Forest Economics, Elsevier, vol. 13(2-3), pages 103-128, August.
    3. Termansen, Mette & Zandersen, Marianne & McClean, Colin J., 2008. "Spatial substitution patterns in forest recreation," Regional Science and Urban Economics, Elsevier, vol. 38(1), pages 81-97, January.
    4. Zandersen, Marianne & Tol, Richard S.J., 2009. "A meta-analysis of forest recreation values in Europe," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 109-130, January.
    5. Zolfaghari, Alireza & Sivakumar, Aruna & Polak, John, 2013. "Simplified probabilistic choice set formation models in a residential location choice context," Journal of choice modelling, Elsevier, vol. 9(C), pages 3-13.
    6. Marianne Zandersen & Mette Termansen & Frank S. Jensen, 2005. "Valuing New Forest Sites over Time: the Case of Afforestation and Recreation in Denmark," Working Papers FNU-80, Research unit Sustainability and Global Change, Hamburg University, revised Aug 2005.
    7. Abildtrup, Jens & Garcia, Serge & Olsen, Søren Bøye & Stenger, Anne, 2013. "Spatial preference heterogeneity in forest recreation," Ecological Economics, Elsevier, vol. 92(C), pages 67-77.
    8. Agimass, Fitalew & Lundhede, Thomas & Panduro, Toke Emil & Jacobsen, Jette Bredahl, 2018. "The choice of forest site for recreation: A revealed preference analysis using spatial data," Ecosystem Services, Elsevier, vol. 31(PC), pages 445-454.
    9. Moons, Ellen & Rousseau, Sandra, 2007. "Policy options for afforestation in Flanders," Ecological Economics, Elsevier, vol. 64(1), pages 194-203, October.
    10. Seo Yoon & Kathleen Deutsch & Yali Chen & Konstadinos Goulias, 2012. "Feasibility of using time–space prism to represent available opportunities and choice sets for destination choice models in the context of dynamic urban environments," Transportation, Springer, vol. 39(4), pages 807-823, July.
    11. Termansen, Mette & McClean, Colin J. & Jensen, Frank Søndergaard, 2013. "Modelling and mapping spatial heterogeneity in forest recreation services," Ecological Economics, Elsevier, vol. 92(C), pages 48-57.

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