检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]华南农业大学数学与信息学院,广东 广州 [2]不详
出 处:《数据挖掘》2020年第4期229-239,共11页Hans Journal of Data Mining
摘 要:服务业空间的合理布局是推动城市经济发展、满足居民消费需求的基础,服务业空间与人口的耦合度高低是衡量服务业布局优劣的重要依据。手机信令数据和城市兴趣点(POI)数据能够很好地反映城市人口分布和城市热点分布。本文以中山市为研究对象,利用2018年手机信令数据与POI数据,探究并分析了该市服务业网点的空间布局特征,并提出了基于动态聚类的手机信令数据人口耦合度模型,通过异常分析判断地区人口耦合情况优劣,并根据分析结果提出建议。Reasonable distribution of service industry is the basis to promote urban economic development and meet the consumption demand of residents. The coupling degree of service industry space and population is an important basis to measure the advantages and disadvantages of service industry layout. Mobile phone signaling data and POI data can well reflect the distribution of urban popula-tion and urban hot spots. This paper takes Zhongshan as the research object, using the mobile phone signaling data and POI data in 2018, explores and analyzes the spatial layout characteristics of the city's service industry outlets, puts forward the population coupling model of mobile phone signaling data based on dynamic clustering, judges the advantages and disadvantages of regional population coupling through abnormal analysis, and puts forward suggestions according to the analysis results.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.171