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Using Individualised Choice Maps to Capture the Spatial Dimensions of Value Within Choice Experiments

机译:使用个性化选择图来捕获选择实验中价值的空间维度

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Understanding how the value of environmental goods and services is influenced by their location relative to where people live can help identify the economically optimal spatial distribution of conservation interventions across landscapes. However, capturing these spatial relationships within the confines of a stated preference study has proved challenging. We propose and implement a novel approach to incorporating space within the design and presentation of stated preference choice experiments (CE). Using an investigation of preferences concerning land use change in Great Britain, CE scenarios are presented through individually generated maps, tailored to each respondent's home location. Each choice situation is generated in real time and is underpinned by spatially tailored experimental designs that reflect current British land uses and incorporate locational attributes relating to physical and administrative dimensions of space. To the best of our knowledge, this represents the first CE study to integrate space into both the survey design and presentation of choice tasks in this way. Presented methodology provides means for testing how presentation of spatial information influence stated preferences. We contrast our spatially explicit (mapped) approach with a commonly applied tabular CE approach finding that the former exhibits a number of desirable characteristics relative to the latter.
机译:了解环境商品和服务的价值如何受到其相对于人们居住地的位置的影响,可以帮助确定保护干预措施在景观上的经济最优空间分布。然而,事实证明,要在既定的偏好研究范围内捕捉这些空间关系具有挑战性。我们提出并实施了一种新颖的方法,将空间纳入设计的偏好选择实验(CE)的设计和演示中。通过对英国土地使用变化的偏好调查,CE情景通过针对每个受访者家乡位置量身定制的单独生成的地图来呈现。每种选择情况都是实时生成的,并以空间定制的实验设计为基础,这些实验设计反映了英国当前的土地使用情况,并结合了与空间的物理和行政维度相关的位置属性。据我们所知,这是首项将空间整合到调查设计和选择任务表示中的CE研究。提出的方法学提供了用于测试空间信息表示如何影响陈述的偏好的手段。我们将空间显式(映射)方法与常用的表格CE方法进行对比,发现前者相对于后者具有许多理想的特性。

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