摘要
作者利用公交刷卡数据(Smart Card Data,SCD)和兴趣点(Point of Interest,POI)数据,借助Oracle数据库和地理信息系统对城市街区层面的功能属性识别进行了研究。其中SCD用于刻画街区客流特征的功能属性,POI。数据用于刻画街区设施功能属性。作者首先利用公交站点客流出行规律的功能属性对城市街区进行初步的分类。在此基础之上,利用POI数据的设施功能属性字段进行蚁群聚类,对城市功能进行进一步细分和识别。最后利用遥感影像分析对识别结果进行检验。检验结果表明,综合利用公交刷卡数据和兴趣点数据能较为准确刻画城市街区的功能特征。
Using the SCD ( Smart Card Data) and POI ( Point of Interest) data, the authors identify the functional attribute of urban blocks. The SCD is used to describe the characteristics of pedestrian flow, while the POI data is used to describe the functional properties of the block facilities. First of all, this study makes a preliminary classification of urban blocks by using the functional attributes of public transit stations. On this basis, using the POI data and ant colony clustering algorithm, the authors carry on the further subdivision of urban blocks function. Finally, the recognition results are examined by remote sensing image analysis. The examined results indicate that the complex utilization of the SCD and POI data can precisely describe the functions of urban blocks.
出处
《城市与环境研究》
2016年第3期67-85,共19页
Urban and Environmental Studies
基金
国家社会科学基金青年项目"高速铁路建设对中国区域经济一体化影响的研究"(批准号:15CJL086)