Evaluating urban public facilities of Shenzhen by application of open source data

作者：Miaoxi Zhao,Gaofeng Xu,Yun Li

摘要：This article applies open source data of public facilities through data mining, not only to evaluate the public facilities from an objective dimension, but also to reflect the sensory opinions of the group factually, eventually realizing the evaluation measurement of urban public facilities. The research takes Shenzhen city as an empirical case and chooses typical public facilities to mine data, resolve address and weight to explore the application of public facilities evaluation under dimension reduction of open source data. The empirical study consists of three parts. first, as the objective evaluation, we estimate the density distribution and per capita of public facility through data mining and address resolution. Second, as the subjective evaluation, we carry on the location analysis to high-score public facility through attention and satisfaction data of Internet evaluation. finally, as mentioned above, we calculate the weight of objective and subjective evaluation of public facility, eventually formatting the comprehensive evaluation of public facilities.

發文機構：Department of Urban Planning Department of Geography Department of Urban Planning Department of Urban Planning

關鍵詞：OPENsourceDATABIGDATAPUBLICFACILITYSHENZHENOpen source databig datapublic facilityShenzhen

分類號： R73[醫藥衛生—腫瘤][醫藥衛生—臨床醫學]