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The choice of forest site for recreation: A revealed preference analysis using spatial data
Ecosystem Services ( IF 7.6 ) Pub Date : 2017-11-28 , DOI: 10.1016/j.ecoser.2017.11.016
Fitalew Agimass , Thomas Lundhede , Toke Emil Panduro , Jette Bredahl Jacobsen

In this paper, we investigate the factors that can influence the site choice of forest recreation. Relevant attributes are identified by using spatial data analysis from a questionnaire asking people to indicate their most recent forest visits by pinpointing on a map. The main objectives of the study are (1) to examine the preferences of visitors for different forest attributes using data from actual visits and (2) to illustrate how many alternative sites need to be considered for estimation in case of a large number of potential recreational sites. Estimation is performed using a conditional logit as well as a random parameter logit model. The variables that are found to affect the choice of forest site to a visit for recreation include: forest area, tree species composition, forest density, availability of historical sites, terrain difference, state ownership, and distance. Regarding the second research objective, we empirically show the possibility of getting consistent parameter estimates through random selection of alternatives. We find that increasing the number of alternatives increases consistency of parameter estimates.



中文翻译:

森林休闲场所的选择:利用空间数据进行的偏好分析

在本文中,我们调查了可能影响森林休闲场所选择的因素。通过使用调查表中的空间数据分析来识别相关属性,该调查表要求人们通过在地图上指出来指示他们最近的森林造访。这项研究的主要目标是(1)使用来自实际访问的数据检查游客对不同森林属性的偏好,以及(2)说明在有大量潜在休闲活动的情况下,需要考虑多少个替代站点来进行评估网站。估计是使用条件logit以及随机参数logit模型执行的。发现会影响到休闲娱乐场所的选择的变量包括:森林面积,树木种类组成,森林密度,历史遗址的可利用性,地形差异,国家所有权和距离。关于第二个研究目标,我们从经验上证明了通过随机选择替代方案来获得一致的参数估计值的可能性。我们发现,增加替代项的数量会增加参数估计的一致性。

更新日期:2017-11-28
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