Kernel density hot spot detection and spatial autocorrelation analysis of accessible facility spatial layout: a case study of outdoor public space in central of Beijing

doi:10.13474/j.cnki.11-2246.2020.0301

Bulletin of Surveying and Mapping ›› 2020, Vol. 0 ›› Issue (9): 140-142,147.doi: 10.13474/j.cnki.11-2246.2020.0301

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Kernel density hot spot detection and spatial autocorrelation analysis of accessible facility spatial layout: a case study of outdoor public space in central of Beijing

QIN Fei^1,2, CHEN Pinxiang^1,2, YANG Bogang^1,2, YU Yongxin^1,2, LIU Bowen^1,2, GONG Yun^1,2

1. Beijing Institute of Surveying and Mapping, Beijing 100038, China;
2. Beijing Key Laboratory of Urban Spatial Information Engineering, Beijing 100038, China

Received:2020-03-31 Revised:2020-06-07 Online:2020-09-25 Published:2020-09-28

Abstract

Abstract: Urban accessibility facilities usually present the characteristics of aggregation distribution in regional space. Generally, the kernel density estimation method is used to analyze the overall spatial distribution pattern, study the number difference of regional spatial distribution, and detect the distribution hot spots. At the same time, by analyzing the spatial autocorrelation characteristics of accessibility facilities, the aggregation characteristics of barrier free facilities services are reflected. By introducing spatial analysis method into the assessment of accessibility environment, the development space of accessibility environment can be optimized. The results show that the overall distribution of accessibility facilities in the core area of Beijing appears a trend of “multi-core distribution”. The overall distribution of barrier free facilities has spatial differences, and the party of accessibility facilities spatial distribution has aggregation characteristics.

Key words: kernel density, spatial autocorrelation, accessibility, special analysis, special distribution

CLC Number:

P208

QIN Fei, CHEN Pinxiang, YANG Bogang, YU Yongxin, LIU Bowen, GONG Yun. Kernel density hot spot detection and spatial autocorrelation analysis of accessible facility spatial layout: a case study of outdoor public space in central of Beijing[J]. Bulletin of Surveying and Mapping, 2020, 0(9): 140-142,147.

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Kernel density hot spot detection and spatial autocorrelation analysis of accessible facility spatial layout: a case study of outdoor public space in central of Beijing

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