基于互联网大数据的小区宜居性评价  

Evaluation of community livability based on Internet big data

作　　者：曾志铧 王会 杨卫军[1,2] 郭亮 何华贵[1,2] Zeng Zhihua;Wang Hui;Yang Weijun;Guo Liang;He Huagui(Guangzhou Urban Planning&Design Survey Research Institute,Guangzhou 510060,China;Guangdong Enterprise Key Laboratory for Urban Sensing,Monitoring and Early Warning,Guangzhou 510060,China)

机构地区：[1]广州市城市规划勘测设计研究院,广州510060 [2]广东省城市感知与监测预警企业重点实验室,广州510060

出　　处：《工程勘察》2023年第7期36-40,共5页Geotechnical Investigation & Surveying

基　　金：广东省重点领域研发计划资助(2020B0101130009);广东省城市感知与监测预警企业重点实验室基金项目(2020B121202019)资助。

摘　　要：随着我国经济的快速发展,民众对居住环境的要求越来越高,宜居的生活环境愈加受到人们的重视。在购房或租房过程中,居民小区是否宜居已经成为人们决策的重要参考依据。传统小区宜居性评价方法所采用数据现势性低,且传统数据无法客观真实反应小区情况。针对以上问题,利用FME从百度地图、链家、大众点评等平台收集了大量互联网数据,以城市居民小区作为研究对象,并利用重力模型对广州小区进行宜居性评价,同时制作小区选址模版,利用FME制作广州互联网交通时空圈,根据所选择的中心点,模型即可给出半小时时空圈内所有小区的宜居性指数。With the rapid development of China′s economy,people′s requirements for living environment are more and more high,and more and more people pay attention to livable living environment.When buying or renting a house,whether the residential area is livable has become an important reference for people to make decisions.The data used in the traditional livability evaluation method of residential areas are of low current status,and the traditional data cannot objectively reflect the situation of residential areas.In view of the above problems,FME is used to collect large amounts of data over the Internet,such as Link-home,Baidu map,Public comments,and so on.Setting urban residential area as the research object,and by using the gravity model in Guangzhou community livability evaluation,creating the village site template at the same time,producing Guangzhou Internet spatiotemporal traffic circle by using FME.According to the selected center,the model can give livability index of all community in half an hour traffic ring.

关 键 词：小区宜居性 地理信息 互联网大数据 

分 类 号：P208[天文地球—地图制图学与地理信息工程]