测绘通报 ›› 2020, Vol. 0 ›› Issue (9): 140-142,147.doi: 10.13474/j.cnki.11-2246.2020.0301

• 技术交流 • 上一篇    下一篇

无障碍设施空间布局核密度热点探测和空间自相关分析——以北京市核心区室外公共空间为例

秦飞1,2, 陈品祥1,2, 杨伯钢1,2, 余永欣1,2, 刘博文1,2, 龚芸1,2   

  1. 1. 北京市测绘设计研究院, 北京 100038;
    2. 城市空间信息工程北京市重点实验室, 北京 100038
  • 收稿日期:2020-03-31 修回日期:2020-06-07 出版日期:2020-09-25 发布日期:2020-09-28
  • 作者简介:秦飞(1985-),女,硕士,高级工程师,研究方向为地理信息系统。E-mail:8311671@qq.com

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 Fei1,2, CHEN Pinxiang1,2, YANG Bogang1,2, YU Yongxin1,2, LIU Bowen1,2, GONG Yun1,2   

  1. 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

摘要: 城市无障碍设施在区域空间中往往呈现聚集分布的特征,通常利用核密度估计方法分析总体空间分布形态,研究区域空间分布的数量差异,探测分布热点;同时通过分析无障碍设施空间自相关性特征,反映无障碍设施服务的聚集特点。将空间分析方法引入到无障碍环境评估当中,可以优化无障碍环境发展空间。结果表明,北京市核心区无障碍设施总体呈现出“多核分布”的态势。无障碍设施的总体分布存在空间差异性,局部无障碍设施空间分布存在聚集特性。

关键词: 核密度分析, 空间自相关, 无障碍, 空间分析, 空间分布

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

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