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Using spatial microsimulation to account for demographic and spatial factors in environmental benefit transfer

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  • Cullinan, John
  • Hynes, Stephen
  • O'Donoghue, Cathal

Abstract

This paper presents a simulation-based modelling approach for estimating total visitor numbers and amenity values for prospective non-priced open-access outdoor recreation sites. To begin, the geographic extent of the market for recreation at a policy site is estimated using data from a similar study site. The population residing within this geographic area is simulated using a spatial microsimulation model and GIS techniques and an individual-level 'visitor arrival function' is then transferred across this simulated population. This allows the latent demand for visits to the policy site by each simulated individual to be predicted and summed, providing an estimate of the total potential demand for recreation at the site. Combining this with an economic value measure of a visit provides an estimate of the potential amenity value of the policy site. The approach is applied to Moyode Wood, a small-scale forest in the West of Ireland, and estimates the potential total economic value of recreation at [euro]0.4Â million for the site. The research represents the first time that spatial microsimulation has been used in environmental benefit transfer and shows how it can be used to control for differences in demographic and spatial factors between study and policy sites. It also demonstrates how individual-level single-site travel cost models estimated using on-site survey data can be used to predict demand at alternative policy sites.

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  • Cullinan, John & Hynes, Stephen & O'Donoghue, Cathal, 2011. "Using spatial microsimulation to account for demographic and spatial factors in environmental benefit transfer," Ecological Economics, Elsevier, vol. 70(4), pages 813-824, February.
    • Handle: RePEc:eee:ecolec:v:70:y:2011:i:4:p:813-824
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    1. Hynes, Stephen & O'Donoghue, Cathal, 2019. "Estimating the value of achieving good ecological status across Irish water catchments using value transfer," Working Papers 309538, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    2. Jones, Thomas E. & Yang, Yang & Yamamoto, Kiyotatsu, 2017. "Assessing the recreational value of world heritage site inscription: A longitudinal travel cost analysis of Mount Fuji climbers," Tourism Management, Elsevier, vol. 60(C), pages 67-78.
    3. John Cullinan & Darragh Flannery & Sharon Walsh & Selina Mccoy, 2013. "Distance Effects, Social Class and the Decision to Participate in Higher Education in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 44(1), pages 19-51.
    4. Ciesielski, Mariusz & Stereńczak, Krzysztof, 2021. "Using Flickr data and selected environmental characteristics to analyse the temporal and spatial distribution of activities in forest areas," Forest Policy and Economics, Elsevier, vol. 129(C).
    5. Cathal O'Donoghue & Karyn Morrissey & John Lennon, 2014. "Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 26-75.
    6. John Cullinan, 2011. "A Spatial Microsimulation Approach to Estimating the Total Number and Economic Value of Site Visits in Travel Cost Modelling," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 27-47, September.
    7. Sung-Kwon Hong & Ju-Mi Kim & Hyun-Kil Jo & Sang-Woo Lee, 2018. "Monetary Valuation of Urban Forest Attributes in Highly Developed Urban Environments: An Experimental Study Using a Conjoint Choice Model," Sustainability, MDPI, vol. 10(7), pages 1-22, July.

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