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GIS-assisted mapping of landscape suitability for nearby recreation.

机译：GIS辅助的景观适合附近休闲娱乐的地图。

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Green space around settlements is increasingly important for recreation. However recreation managers have limited spatially explicit data on recreation potential around cities, and representative field data are expensive to gather. To support the identification of hot spots for nearby recreation we developed a GIS model based on a representative survey (N=1622). The model was tested for Swiss towns with 10,000-100,000 inhabitants. Respondents indicated (1) outdoor activities, (2) time spent, (3) type of transportation used, (4) preference for given landscape properties, and (5) preferred locations on maps with a cell size of 1 km2. Generalized linear models were applied to link people's declared presence/absence in the 1 km2 cells to "objective" landscape properties of the same cells. The models explain 41-65% (adj. D2) of the variance in the data. Many of the "objective" landscape characteristics found to significantly influence nearby recreation in the model match with "subjective" preferences, i.e. distance to residence, open water, forests, summits with overview and avoidance of major roads. Old people are "subjectively" more sensitive to landscape characteristics than young people, and indeed they visited locations with more distinct landscape properties. In contrast, persons reaching their locations by foot are "subjectively" more sensitive to landscape characteristics than mobile people (access by car, bicycle), but they go to close-by locations with less distinct landscape characteristics. As most people reach their locations by foot, we conclude that measures to improve green space should be concentrated within 5-10 min walking or biking distance in order to be effective.
机译：定居点周围的绿色空间对于休闲娱乐越来越重要。但是，娱乐管理者对于城市周围娱乐潜力的空间显式数据有限，并且收集代表性田野数据的成本很高。为了支持识别附近娱乐场所的热点，我们基于代表性调查（ N = 1622）开发了GIS模型。该模型已在有10,000-100,000居民的瑞士城镇进行了测试。受访者指出（1）户外活动，（2）花的时间，（3）使用的交通工具类型，（4）对给定的景观属性的偏好，以及（5）像元大小为1 km 2的地图上的首选位置。应用广义线性模型将人们在1 km 2 单元格中声明的存在/不存在与相同单元格的“客观”景观属性联系起来。模型解释了数据中的方差的41-65％（调整 D 2 ）。在模型中发现的许多“客观”景观特征均会显着影响附近的休闲活动，并与“主观”偏好相匹配，即与住宅的距离，开阔水域，森林，具有全景并避开主要道路的山顶。与年轻人相比，老年人在“主观上”对景观特征更为敏感，事实上，他们到访的景观特征更为明显。相反，步行到达现场的人比流动的人（驾车，骑自行车）对景观特征更“主观”敏感，但他们到附近的景观特征却不那么明显。当大多数人步行到达其位置时，我们得出结论，改善绿地的措施应集中在步行或骑自行车的距离5-10分钟之内，以使其有效。

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