Recreational site choice modelling using high-resolution spatial data

M Termansen; C J McClean; H Skov-Petersen

doi:10.1069/a36164

Recreational site choice modelling using high-resolution spatial data

M Termansen, C J McClean, H Skov-Petersen

Environment and Geography

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1085-1099
Number of pages	15
Journal	Environment and Planning A
Volume	36
Issue number	6
DOIs	https://doi.org/10.1069/a36164
Publication status	Published - Jun 2004

Keywords

RANDOM UTILITY MODEL
GEOGRAPHICAL INFORMATION-SYSTEMS
AGGREGATION
DEMAND
METHODOLOGY
BENEFITS
FOREST
SETS

Access to Document

10.1069/a36164

Cite this

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title = "Recreational site choice modelling using high-resolution spatial data",

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.",

keywords = "RANDOM UTILITY MODEL, GEOGRAPHICAL INFORMATION-SYSTEMS, AGGREGATION, DEMAND, METHODOLOGY, BENEFITS, FOREST, SETS",

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year = "2004",

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AU - Termansen, M

AU - McClean, C J

AU - Skov-Petersen, H

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AB - 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.

KW - RANDOM UTILITY MODEL

KW - GEOGRAPHICAL INFORMATION-SYSTEMS

KW - AGGREGATION

KW - DEMAND

KW - METHODOLOGY

KW - BENEFITS

KW - FOREST

KW - SETS

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DO - 10.1069/a36164

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