基于时空数据挖掘的城市体检评估方法与实践——以无锡市为例

Methods and implementation of urban physical examination evaluation based on spatio-temporal data mining: a case study of Wuxi city

时空数据挖掘作为当前研究的热点之一,为城市研究提供了新的思路和技术手段。本文以无锡市为例,利用手机信令数据、车辆轨迹实时数据、基础地理信息等多源异构时空数据,构建相应的数据挖掘模型,进行了职住平衡、区域联系度、交通拥堵等城市特征的挖掘与分析,构建多源数据挖掘的城市评估体系,探索了时空数据挖掘在城市体检评估中的应用,为城市规划和运行管理提供了科学评估与决策。

As one of the hotspots of current research, spatiotemporal data mining provides new ideas and technical means for urban research. In this paper we take Wuxi city as an example, and build the corresponding data mining model by using multi-source heterogeneous spatiotemporal data such as the mobile signaling, traffic jam data, POI data and urban planning achievement. Then we do some analysis of urban main characteristics such as human occupation and residence balance, regional contacting degree to build the urban evaluation system based on multi-source data mining, explore the application of spatiotemporal data mining in urban physical examination, in order to provide scientific evaluation and decision-making for urban planning, operation management.