摘要:引入景观感知敏感度模型中的可视范围、最佳观赏距离、最佳观赏方位等视域感知影响因子,和景观类型、资源价值等生态感知影响因子,并增加地形坡度和起伏度因子,建立了生态旅游地观光线路选址综合权重计算模型,用于观光线路的自动选址。以武安国家地质公园奇峡谷景区为例,基于ArcGIS软件平台,实现了景区旅游观光最佳线路自动选址;通过景区野外考察,并综合考虑其它修正因子,对计算结果进行了专家修正,获得了一条旅游者景观感知较好且容易实施的观光线路。观光线路自动选址为微观尺度下的生态旅游地规划、景观设计提供了定量分析方法,为景区管理和生态保护提供了思路和参考。
Abstract: Sight-seeing route is an interactive interface between tourists and ecotourism environments. How to design tourist routes perperly and reduce the interference to the environment is an important issue to be resolved in ecological tourism plannings. Although public attitudes towards landscapes are shaped by many different factors, such as age, sex, social and economic status etc. , there are also some common preferences to landscape types, especially for people with similar education background or environmental value orientations. Ecotourists are just such groups. This paper introduced the visible perception affected by landscape visibility, the best viewing distance and the best viewing orientation, and the ecological perception affected by the landscape types and the resource value into the landscape perception sensitivity model, and built a synthesis-weight computation model of ecotourism destination sight-seeing routes selection with the combination of topographic factors such as slope and relief degree of land surface (RDLS). The main steps are as follows. Firstly, the authors calculated the landscape perception degree of each landscape, then added the results together and divided the results into ten levels from high to low using the reclassification tools of ArcGIS, assigned 1--10 to each level; Secondly, calculated the slope and RDLS using terrain analysis tool of ArcGIS platform, and also divided the results into ten levels from low to high using the reclassification tools of AreGIS, assigned 1--10 to each level; Thirdly, built the suitability computation function of sight-seeing route selection in ecotourism destinations, and calculated the weight results combined with landscape perception degree and terrain factors, then selected the best sight-seeing route using the optimal path analysis of ArcGIS platform; Finally, revised the sight-seeing route acquired automatically with field trips, expert opinionand other factors, so as to the characteristics of scenic landscape to be shown better,