IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v36y2004i6p1085-1099.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a36164
    Download Restriction: no
    File URL: https://libkey.io/10.1068/a36164?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Haab, Timothy C. & Hicks, Robert L., 1997. "Accounting for Choice Set Endogeneity in Random Utility Models of Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 34(2), pages 127-147, October.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    3. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    4. Ian Bateman & Andrew Lovett & Julii Brainard, 1999. "Developing a Methodology for Benefit Transfers Using Geographical Information Systems: Modelling Demand for Woodland Recreation," Regional Studies, Taylor & Francis Journals, vol. 33(3), pages 191-205.
    5. George R. Parsons & Michael S. Needelman, 1992. "Site Aggregation in a Random Utility Model of Recreation," Land Economics, University of Wisconsin Press, vol. 68(4), pages 418-433.
    6. George R. Parsons & GAndrew J. Plantinga & GKevin J. Boyle, 2000. "Narrow Choice Sets in a Random Utility Model of Recreation Demand," Land Economics, University of Wisconsin Press, vol. 76(1), pages 86-99.
    7. Scarpa, Riccardo & Chilton, Susan M. & Hutchinson, W. George & Buongiorno, Joseph, 2000. "Valuing the recreational benefits from the creation of nature reserves in Irish forests," Ecological Economics, Elsevier, vol. 33(2), pages 237-250, May.
    8. George R. Parsons & A. Brett Hauber, 1998. "Spatial Boundaries and Choice Set Definition in a Random Utility Model of Recreation Demand," Land Economics, University of Wisconsin Press, vol. 74(1), pages 32-48.
    9. Nick Hanley & W. Douglass Shaw & Robert E. Wright (ed.), 2003. "The New Economics of Outdoor Recreation," Books, Edward Elgar Publishing, number 2712.
    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. Bujosa Bestard, Angel & Font, Antoni Riera, 2009. "Environmental diversity in recreational choice modelling," Ecological Economics, Elsevier, vol. 68(11), pages 2743-2750, September.
    2. 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.
    3. 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.
    4. 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.
    5. Moons, Ellen & Rousseau, Sandra, 2007. "Policy options for afforestation in Flanders," Ecological Economics, Elsevier, vol. 64(1), pages 194-203, October.
    6. 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.
    7. 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.
    8. Marcin Spyra & Nica Claudia Caló & Guillermo J. Martínez Pastur & María Vanessa Lencinas & Daniele La Rosa, 2024. "Ecosystem Service Trade-Offs in Peri-Urban Landscapes: Drivers, Governance Obstacles and Improvements," Land, MDPI, vol. 13(7), pages 1-21, July.
    9. 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.
    10. 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.
    11. 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.
    12. 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.

    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. Phaneuf, Daniel J. & Smith, V. Kerry, 2006. "Recreation Demand Models," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 15, pages 671-761, Elsevier.
    2. Yongjie Ji & Joseph A. Herriges & Catherine L. Kling, 2016. "Modeling Recreation Demand When the Access Point Is Unknown," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 860-880.
    3. Dundas, Steven J. & von Haefen, Roger H., 2019. "The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate," CEnREP Working Papers 283949, North Carolina State University, Department of Agricultural and Resource Economics.
    4. 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.
    5. 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.
    6. 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.
    7. Scrogin, David & Hofler, Richard & Boyle, Kevin J. & Milon, J. Walter, 2004. "On The Frontier Of Generating Revealed Preference Choice Sets: An Efficient Approach," 2004 Annual meeting, August 1-4, Denver, CO 20134, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. von Haefen, Roger H. & Domanski, Adam, 2018. "Estimation and welfare analysis from mixed logit models with large choice sets," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 101-118.
    9. Hicks, Robert L. & Schnier, Kurt E., 2010. "Spatial regulations and endogenous consideration sets in fisheries," Resource and Energy Economics, Elsevier, vol. 32(2), pages 117-134, April.
    10. Backstrom, Jesse D. & Woodward, Richard T., 2017. "Using Qualitative Site Characteristics Data in Marine Recreational Fishing Models: A New Site Aggregation Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258276, Agricultural and Applied Economics Association.
    11. Richard T. Melstrom & Deshamithra H. W. Jayasekera, 2017. "Two-Stage Estimation to Control for Unobservables in a Recreation Demand Model with Unvisited Sites," Land Economics, University of Wisconsin Press, vol. 93(2), pages 328-341.
    12. Hicks, Robert L. & Holland, Daniel S. & Kuriyama, Peter T. & Schnier, Kurt E., 2020. "Choice sets for spatial discrete choice models in data rich environments," Resource and Energy Economics, Elsevier, vol. 60(C).
    13. Stafford, Tess M., 2018. "Accounting for outside options in discrete choice models: An application to commercial fishing effort," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 159-179.
    14. John N. Ng’ombe & B. Wade Brorsen, 2022. "The Effect of Including Irrelevant Alternatives in Discrete Choice Models of Recreation Demand," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 71-97, June.
    15. H. Spencer Banzhaf & V. Kerry Smith, 2007. "Meta-analysis in model implementation: choice sets and the valuation of air quality improvements," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1013-1031.
    16. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    17. Riccardo Scarpa & Mara Thiene, 2004. "Destination Choice Models for Rock Climbing in the Northeast Alps: A Latent-Class Approach Based on Intensity of Participation," Working Papers 2004.131, Fondazione Eni Enrico Mattei.
    18. Hicks, Robert L., 2002. "A Comparison Of Stated And Revealed Preference Methods For Fisheries Management," 2002 Annual meeting, July 28-31, Long Beach, CA 19853, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Gosens, Tom & Rouwendal, Jan, 2018. "Nature-based outdoor recreation trips: Duration, travel mode and location," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 513-530.
    20. Angel Bujosa & Antoni Riera & Robert Hicks, 2010. "Combining Discrete and Continuous Representations of Preference Heterogeneity: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 477-493, December.

    More about this item

    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:sae:envira:v:36:y:2004:i:6:p:1085-1099. 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: SAGE Publications (email available below). General contact details of provider: .

    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.