Abstract
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.
Highlights
With the rapid development of urbanization, the amount of city infrastructure related cases in urban management has been increasing exponentially
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
Urban grid management system has greatly improved the comprehensive efficiency of urban management
Summary
With the rapid development of urbanization, the amount of city infrastructure related cases in urban management has been increasing exponentially. A large number of urban management cases affect the environment of the city, and cause problems for the residents’ daily life. To solve these problems in an effective way is a key issue for city managers. The urban grid management system has accumulated many historical data of city infrastructure related cases. To take advantage of this digital urban management system, many researchers use spatiotemporal data analysis techniques to dig deep into the temporal and spatial distribution of urban management cases (Hajduk, 2016; Guo et al, 2015). This paper mainly used the comparative kernel density analysis method, and analyzed the kernel density of two main cases (power facilities and traffic guardrail) in the urban grid management system of Xicheng District from January 1st, 2016 to December 31st, 2017
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