露营地选址规划集成技术方法实践研究——以麦积山游憩空间优化为例  

Practical Research on Integration Technical Methods for Campsite Selection Planning——Taking the optimization of recreation space in Maiji Mountain as an example

作　　者：贾静[1,2] 吴承照[1] JIA Jing;WU Chengzhao

机构地区：[1]同济大学建筑与城市规划学院 [2]浙江丽水学院生态学院

出　　处：《住宅科技》2019年第8期32-37,共6页Housing Science

基　　金：国家社科基金重点项目“中国国家公园管理规划理论及其标准体系研究”（编号：14AZD107）

摘　　要：文章采用集成技术方法,将GIS空间信息分析与遗传算法、神经网络算法结合,应用于各类露营地及游憩空间优化研究中,并以麦积山景区为例,通过空间信息叠层分析、理想场地描述与休憩地分类决策等关键过程的技术集成,实现各类游憩地空间优化目标,探索露营地科学选址规划的实现途径,为露营地场地设计、建设及可持续管理提供决策依据。This article adopts the integration technical method,combines GIS spatial information analysis with genetic algorithm and neural network algorithm,and applies them to optimization researches on various camping and recreational spaces.Taking Maiji Mountain Scenic Area as an example,through the technical integration of key processes such as spatial information stacking analysis,ideal site description and recreational space classification decision-making,it achieved various recreational space optimization objectives and explored the realization ways for scientific campsite selection and planning to provide decision-making basis for campsite design,construction and sustainable management.

关 键 词：集成技术 空间优化 选址 露营地 游憩空间 

分 类 号：TU984.18[建筑科学—城市规划与设计]