基于空间可达性的南昌市主城区公园绿地空间布局优化  

Spatial Layout Optimization of Park Green Space in the Main Urban Area of Nanchang Based on Spatial Accessibility

作　　者：戴千一 戴建初[5] 吴柏燕 危小建[4] 李朝奎 DAI Qianyi;DAI Jianchu;WU Baiyan;WEI Xiaojian;LI Chaokui(National and Local Joint Engineering Laboratory of Geospatial Information Technology,Hunan University of Science and Technology,Xiangtan 411201,China;Hunan Provincial Key Laboratory of Information Engineering for Surveying,Hunan University of Science and Technology,Xiangtan 411201,China;College of Geoscience and Spatial Information Engineering,Hunan University of Science and Technology,Xiangtan 411201,China;College of Surveying and Mapping Engineering,East China University of Technology,Nanchang 330013,China;The First Surveying and Mapping Institute of Hunan Province,Changsha 410114,China)

机构地区：[1]湖南科技大学地理空间信息技术国家地方联合工程实验室,湖南湘潭411201 [2]湖南科技大学测绘遥感信息工程湖南省重点实验室,湖南湘潭411201 [3]湖南科技大学地球科学与空间信息工程学院,湖南湘潭411201 [4]东华理工大学测绘工程学院,江西南昌330013 [5]湖南省第一测绘院,湖南长沙410114

出　　处：《湖南科技大学学报（自然科学版）》2023年第3期88-96,共9页Journal of Hunan University of Science And Technology：Natural Science Edition

基　　金：湖南省自然科学基金创新研究群体项目资助(2020JJ1003);湖南省教育厅科研项目资助(20C0770);国家自然科学基金资助项目(41201389)。

摘　　要：公园绿地在维持城市生态平衡中具有重要作用,城市公园绿地空间布局应以居民需求为原则,最大化公园服务价值.可达性指标能从人的角度出发衡量公园绿地的服务效率,被用于量化表达公园绿地与居民之间的供需关系.以南昌市主城区为例,运用高斯两步移动搜索法(G2SFCA)开展公园绿地可达性评价,结合南昌市城市绿地系统规划,以2021年为优化时间节点,对可达性较低的公园绿地服务盲区进行新增公园绿地选址.结果表明:(1)高斯两步移动搜索法引入距离缩减函数,可达性评价结果能有效指导公园绿地选址规划.(2)南昌市主城区公园绿地可达性偏低,空间分布表现为自内环向外环递减,行政区内部公园绿地可达性分布不平衡且存在明显差异.第一层级公园绿地可达性低于1 m^(2)/人,第二层级公园绿地可达性高于8 m^(2)/人,但低于南昌市人均公园绿地水平.(3)以均衡分布和高效利用公园绿地为原则,新增公园选址共计18处,第一层级和第二层级公园各9处.Park green space plays an important role in maintaining the ecological balance of the city,and the spatial layout of urban park green space should be based on the principle of residents'needs to maximize the value of park services.Accessibility index can measure the service efficiency of park green space from the perspective of people,and is used to quantitatively express the supply-demand relationship between park green space and residents.Taking the main urban area of Nanchang City as an example,the Gaussian two-step moving search method(G2SFCA)is applied to evaluate the accessibility of park green spaces,which is combined with the urban green space system planning of Nanchang City and with 2021 as the optimization time endpoint to select sites for new park green spaces in the blind areas with low accessibility.Results show that:(1)the Gaussian two-step moving search method introduces a distance reduction function,and the accessibility evaluation results can effectively guide the planning of site selection for park green space,and(2)The accessibility of parkland in the main urban area of Nanchang is low,and the spatial density is decreasing from the inner ring to the outer ring.What's more,the accessibility of parkland within the administrative districts is unbalanced and significantly different.The accessibility of the first level of parkland is lower than 1 m^(2)/per person,while the accessibility of the second level of parkland is higher than 8 m^(2)/person but lower than the per capita level of parkland in Nanchang.(3)Based on the principles of balanced distribution and efficient use of parkland,a total of 18 new park sites are selected,9 for the first tier and 9 for the second.

关 键 词：南昌市主城区 公园绿地 可达性 G2SFCA 布局优化 

分 类 号：TU984.113[建筑科学—城市规划与设计] TU985.11