Author(s)

Jiwei Hou^1,2, Jianhua Liu^1,2*, Siyu Li^1,2, Shiran Song^1,2, Congcong Li^1,2, Yueming Duan², Baoshan Zeng²

¹Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing, China.
²School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing, China.

The effective disposal of daily city infrastructure cases is an important issue for urban management. To more effectively utilize a large amount of historical cases data collected and accumulated in the urban grid management system, and to analyze their spatial distribution pattern information for city managers, this study used the comparative kernel density analysis method in two types of cases (i.e. power facilities and traffic guardrail) in Xicheng District, Beijing for the year 2016 and 2017. This research analyzes them at different scales (300 m, 600 m, 1,200 m), and the experiment results show that the method of comparative kernel density analysis is able to provide an intuitively spatial visualization distribution analysis of city infrastructure related cases. The quantitative information of spatial agglomeration degree is helpful for city managers making decision.

City Management Cases, Spatial Distribution Analysis, Distribution Scale, Hotspot Distribution

Hou, J. , Liu, J. , Li, S. , Song, S. , Li, C. , Duan, Y. and Zeng, B. (2018) The Spatial Distribution Pattern Analysis of City Infrastructure Cases of Urban Management. Journal of Geoscience and Environment Protection, 6, 21-42. doi: 10.4236/gep.2018.612002.