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ANALYSIS ON THE DISTRIBUTION OF VITALITY SPACES IN MAIN URBAN AREAS OF CHENGDU CITY BASED ON POI BIG DATA
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摘要: 空间活力是影响城市发展的重要因素，基于兴趣点（POI）数据，依托ArcGIS平台，从数学空间、现象数据两角度，利用层次分析、变异系数、最邻近系数、核密度分析、空间自相关分析等方法对成都市主城区的活力空间分局进行研究，总结城市活力空间的分局特征，并探讨影响因素。得出：1）成都主城区兴趣点设施的空间分布表现出明显向心性；2）各类设施在空间上的分布形态和集聚中心有所差异；3）成都市空间活力分局为“三圈层”模式；4）活力空间与人口分布、路网密度存在较强的空间正相关关系。Abstract: Spatial vitality is an important factor influencing urban development. Based on POI data, relying on the ArcGIS platform, the distribution of urban vitality spaces in the main urban areas of Chengdu was studied from the perspectives of mathematical spaces and phenomenon data by using the analytic hierarchy process, coefficients of variation, nearest neighbor coefficients, kernel density analysis, spatial autocorrelation analysis and other methods. The distribution characteristics of urban vitality spaces were summarized, and the influencing factors on urban vitality were discussed. The conclusions were as follows:1) the spatial distribution of facilities of interest points in the main urban area of Chengdu was of obvious centripetallity; 2) there were some differences in spatial distribution patterns and agglomeration centers of various facilities; 3) the distribution of Chengdu's spatial vitality was of "three-circle mode"; 4) the vitality space had a strong spatial positive correlation with the population distribution and road-network density.
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Key words:
- point of interest /
- urban vitality /
- spatial distribution /
- Chengdu
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[1] 李娟, 李苗裔, 龙瀛, 等.基于百度热力图的中国多中心城市分析[J].上海城市规划, 2016(3):30-36. [2] JACOBS J.The Death and Life of Great American Cities[M].New York:Random House, 1961. [3] EWING R, CERVERO R.Travel and the Built Environment:A Synthesis[J].Transportation Research Record:Journal of the Transportation Research Board, 2001(1780):87-114. [4] 姜蕾.城市街道活力的定量评估与塑造策略[D].大连:大连理工大学, 2013. [5] 龙瀛.街道城市主义新数据环境下城市研究与规划设计的新思路[J].时代建筑, 2016(2):128-132. [6] 裴昱, 吴灈杭, 唐义琴, 等.基于空间数据的北京二环内夜间街道活力与影响因素分析[J].城市建筑, 2018(9):111-116. [7] 崔真真, 黄晓春, 何莲娜, 等.基于POI数据的城市生活便利度指数研究[J].地理信息世界, 2016, 23(3):27-33. [8] 禹文豪, 艾廷华, 周启.设施POI的局部空间同位模式挖掘及范围界定[J].地理与地理信息科学, 2015, 31(4):6-11. [9] 贾晓婷, 雷军, 武荣伟, 等.基于POI的城市休闲空间格局分析:以乌鲁木齐市为例[J].干旱区地理, 2019, 42(4):943-952. [10] 孙琨, 唐承财, 钟林生.基于人口特征的城市生态游憩空间配置:以常熟市为例[J].地理科学进展, 2016, 35(6):714-723. [11] 成都市统计局.2019年成都市国民经济和社会发展统计公报[EB/OL].(2020-03-31)[2020-08-24].http://www.cdstats.chengdu.gov.cn/htm/detail_180990.html. [12] LIU X, LONG Y.Automated Identification and Characterization of Parcels with Open Street Map and Points of Interest[EB/OL].(2015-05-20)[2016-01-04].http://epb.saqepub.com/content learly 2015/09/02/02658135/5604767.abstract. [13] 汤国安, 杨昕.ArcGIS地理信息系统空间分析实验教程[M].2版.北京:科学出版社, 2012. [14] 王远飞, 何洪林.空间数据分析方法[M].北京:科学出版社, 2007. [15] 湛东升, 张文忠, 党云晓, 等.北京市公共服务设施空间集聚特征分析[J].经济地理, 2018, 38(12):76-82. [16] 马文军, 李亮, 顾娟, 等.上海市15分钟生活圈基础保障类公共服务设施空间布局及可达性研究[J].规划师, 2020, 36(20):11-19. -
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