公共交通可达性视角下的城市土地利用评估  

Urban Land Use Evaluation Based on Accessibility of Transport Networks

作　　者：谷岩岩 王维皓 GU Yanyan;WANG Weihao(School of Architecture and Urban Planning,Shenzhen University,Shenzhen 518060,China;Zhuhai Natural Resources&Planning Technology Center,Zhuhai 519099,China)

机构地区：[1]深圳大学建筑与城市规划学院,广东深圳518060 [2]珠海市自然资源与规划技术中心,广东珠海519099

出　　处：《测绘地理信息》2023年第1期77-81,共5页Journal of Geomatics

基　　金：国家自然科学基金(42101464);测绘遥感信息工程国家重点实验室开放研究基金(21I03)。

摘　　要：针对传统土地利用数据更新慢、获取成本高等难题,提出融合兴趣点(point of interest,POI)数据和复合网络可达性的城市土地利用评估方法。先构建公交-地铁复合网络模型,并设计格网复合网络可达性计算方法;再以上海市为例,利用地理加权回归(geographically weighted regression,GWR)模型对研究区域所有格网的复合网络可达性与土地利用类型进行回归建模,从可达性的视角精细化、定量评估城市土地利用现状。与传统的线性回归模型相比,GWR模型拟合效果相对较优,不同类型POI回归系数的空间分布异质性特征可以解释公共交通网络可达性与城市土地利用之间的关系。To address the challenges of slow update and high acquisition cost of traditional land use data,we propose an evaluation method for urban land use,which integrates point of interest(POI)data and the accessibility of composite network.First,we build a bus-metro network model and design a method to calculate the accessibility of composite network for grids.Then,we take Shanghai as an example,and model the accessibility of composite network and land use types of grids in the research area with geographically weighted regression(GWR)model.The spatial distribution of urban land use is evaluated in a quantitative way from the perspective of accessibility.Compared with the traditional linear regression model,GWR model has a relatively better fitting effect.The spatial distribution characteristics of different types of POI regression coefficients can explain the relationship between the accessibility of public transport networks and urban land use types.

关 键 词：兴趣点(point of interest POI) 可达性 地理加权回归 土地利用 

分 类 号：P208[天文地球—地图制图学与地理信息工程]