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基于选线适宜性评价的城镇型绿道规划方法研究
王春晓1, 黄佳雯1, 林广思2
1.深圳大学;2.华南理工大学
摘要:
城镇型绿道受城市建成区限制等影响因素较多,很难通过主观评价判断其选线方案的优劣,为满足规划中的实际需求,需要提出多源数据融合的定量评价方法。以城镇型绿道为研究对象,基于国内外绿道选线相关研究,通过层次分析法、德尔菲法等建立多源数据融合的适宜性评价模型,对城镇型绿道的选线适宜性提出定量的评价方法。以深圳市龙岗区为例,在适宜性评价模型的基础上,通过GIS空间叠加对城镇型绿道的规划布局提出优化方法,同时提出分级规划引导。以期实现多目标相协调的城镇型绿道规划布局,为城镇型绿道选线的评价及规划建设提供科学的借鉴和参考。
关键词:  绿道  绿道游径系统  绿道选线  绿色基础设施  绿色交通
DOI:10.14085/j.fjyl.2020.07.0108.06
分类号:TU986
基金项目:深圳大学新引进教师科研启动项目(编号 2018076);广东省哲学社会科学规划基金项目(编号 GD19YYS09)
Research on Urban Greenway Planning Methods Based on Suitability Evaluation
WANG Chunxiao1, HUANG Jiawen1, LIN Guangsi2
1.Shenzhen University;2.South China University of Technology
Abstract:
Urban greenways are restricted by urban built-up environments and influenced by many factors. It is hard to judge whether the selected greenway route is the best scheme through subjective evaluation. A multi-source data fusion evaluation method is necessary to meet the actual demand in planning. This research, with urban greenway as objective, based on the analysis of domestic and foreign researches and practice of urban greenways planning, apply the analytic hierarchy process(ahp), Delphi method and other methods, establishes the importance weights of multi-factor comprehensive suitability evaluation model. Then, the quantitative evaluation method with the multi-element composite overlay analysis is recommended. In the end, on the basis of suitability evaluation model in the case of the Longgang district of Shenzhen City, the urban greenway planning layout optimization method using space superposition in GIS, as well as the hierarchical planning guidance is put forward, to provide scientific reference for the evaluation, planning and construction of urban greenways.
Key words:  greenway  greenway trail system  greenway selection  green infrastructure  green traffic
引用本文:王春晓,黄佳雯,林广思.基于选线适宜性评价的城镇型绿道规划方法研究[J].风景园林,2020,27(7):108-113.
WANG Chunxiao,HUANG Jiawen,LIN Guangsi.Research on Urban Greenway Planning Methods Based on Suitability Evaluation[J].Landscape Architecture Journal, 2020, 27(7):108-113.