基于多源大数据的城市居住用地优化研究:以南京城区为例  

Optimization of urban residential land based on multi-source big data:A case study in Nanjing City

作　　者：秦萧[1,2] 李民健 甄峰 Qin Xiao;Li Minjian;Zhen Feng(School of Architecture and Urban Planning,Nanjing University,Nanjing 210093,Jiangsu,China;Jiangsu Engineering Research Center of Smart City Planning and Digital Governance,Nanjing 210093,Jiangsu,China)

机构地区：[1]南京大学建筑与城市规划学院,江苏南京210093 [2]江苏省智慧城市规划与数字治理工程研究中心,江苏南京210093

出　　处：《地理科学》2023年第9期1548-1558,共11页Scientia Geographica Sinica

基　　金：国家自然科学基金面上项目(52078246)资助。

摘　　要：从行为偏好视角来看,为获得更好的居住条件、满足日常生活需求,居民选择住房时通常优先考虑环境品质高或靠近高流动性城市公共中心的小区居住。这导致不同居住用地之上的居住活力产生差异,具有不同流动性强度的公共中心吸引居住活动集聚的能力也产生差异,进而影响城市居住用地利用效果。研究跳出传统根据人口静态分布配置居住用地的思路,从活力和流动性两个维度解读居民实际居住需求,并利用多源大数据和聚类分析、耦合模型、引力模型探讨居住用地优化路径。研究发现:①从活力维度分析,认为居住活力与用地承载力耦合关系能够反映居民实际用地利用情况,活力偏高小区集中在老城及河西片区,外围片区活力整体偏低但也存在局部耦合现象;②从流动性维度分析,认为公共中心流动性对居民就近居住有较大影响,商业中心吸引效果趋同、能够提炼一般配比规模,而交通和文体中心吸引规律不明显。研究得到“以耦合度引导片区优化方向”和“以配比均值推算新增用地规模”两种居住用地优化路径。From the perspective of behavioral preferences,in order to obtain better living conditions and meet the needs of daily life,residents usually give priority to residential areas with high environmental quality or close to urban public centers with high mobility when choosing houses.This leads to differences in the residen-tial vitality of different residential land and the ability of public centers with different mobility intensities to at-tract residential activities,thus affecting the utilization effect of urban residential land.The study breaks away from the traditional idea of allocating residential land according to the static population,interprets the actual residential demand from the perspective of vitality and mobility,measures residential vitality and mobility of public centers by using multi-source big data.What's more,the study explores the coupling relationship of vi-tality and carrying capacity,and the matching relationship of mobility and scale of attracted residential land by utilizing cluster analysis,coupling model and gravity model.Traditional statistics are also used to test the res-ults,so that the optimization paths of residential land could be credibly concluded.The results show that:1)From the perspective of vitality,it is believed that the coupling relationship between residential vitality and land carrying capacity can reflect the actual situation of residents'land use.The communities with high vitality are concentrated in the core city and Hexi Area,while the peripheral areas have low vitality on the whole,but some local coupling phenomenon exists.2)From the perspective of mobility,it is believed that public centers have a great impact on residents'choice of residence.The attraction effect of commercial centers is similar and the general proportion scale can be concluded,while the attraction law of transportation and cultural and sports centers is not obvious.There are two paths of residential land optimization raised from the study:"guiding the optimal direction by the coupling degree"a

关 键 词：土地利用 居住用地布局优化 居住活力 公共中心流动性 大数据 

分 类 号：F129.9[经济管理—世界经济]