基于POI大数据的资源型城市功能区识别方法与实证——以辽宁省本溪市为例

doi:10.13959/j.issn.1003-2398.2020.04.011

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摘要精准识别城市功能区对于优化协调城市人地系统，完善城市规划及促进城市可持续发展具有重要意义。选取公众认知度和地物一般面积对行业POI数据核密度进行加权，构建城市功能区定量识别方法，以本溪为例，输出城市功能区分布图并开展分析。结果表明：①考虑公众认识度与一般面积的核密度加权方法具有更高的实际性和准确性；②本溪市中心城区受地块大小、交通等因素影响，形成“多中心”组团、“单一—混合”功能区协同发展的空间格局。应进一步完善本溪新城区公共服务体系、优化旅游业产业链条，推进资源型城市转型进程。

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关键词 ：人地关系, 兴趣点大数据（POI数据）, 城市功能区, 拓扑关系, 资源型城市

Abstract：Accurate identification of urban functional areas is of great significance for optimizing and coordinating urban population and land system, improving urban planning and promoting sustainable urban development. We designed the minimal research unit based on road network and selected the public recognition and feature general area of kernel density weighted POI data of the industry, to create quantitative identification system of urban functional areas, put forward the sustainable development strategy of Benxi city from the optimization of urban industrial structure. The results show that: 1) the full sample POI data can improve the precision of urban functional zoning by providing the spatial location of all kinds of industrial entities in the city; 2) the kernel density weighting method can compensate for the shortcomings of reducing the exposure of POI data as point data in the identification of urban functional areas without geographical entity area and influence range; 3) the downtown area of Benxi is affected by the land parcel size, traffic and other factors, forming a spatial pattern of "multi-center" group and "single-mixed" functional area; 4) the central urban area of Benxi city should further improve the public service system, optimize and extend the tourism industry chain, improve the upgrading efficiency of industrial structure, and promote the transformation process of resource-based cities.

Key words： human-land relationship point of interest urban functional areas topology analysis resourcebased cities

收稿日期: 2019-10-08

PACS:

K901

基金资助:国家自然科学基金项目（41971166）；沈阳市中青年科技创新人才计划（RC180221，RC190444）

通讯作者: 李京忠(1978-),男,山东临沂人,副教授,主要研究方向为地学大数据与地理信息系统。E-mail:zhong.lij@163.com。 E-mail: zhong.lij@163.com

作者简介: 薛冰(1982-),男,江苏连云港人,研究员,教授,博士生导师,主要研究方向为人地关系分析与区域可持续发展。E-mail:xuebing@iae.ac.cn。

引用本文:

薛冰, 赵冰玉, 肖骁, 李京忠, 谢潇, 任婉俠. 基于POI大数据的资源型城市功能区识别方法与实证——以辽宁省本溪市为例[J]. 人文地理, 2020, 35(4): 81-90. XUE Bing, ZHAO Bing-yu, XIAO Xiao, LI Jing-zhong, XIE Xiao, REN Wan-xia. A POI DATA-BASED STUDY ON URBAN FUNCTIONAL AREAS OF THE RESOURCESBASED CITY: A CASE STUDY OF BENXI, LIAONING. HUMAN GEOGRAPHY, 2020, 35(4): 81-90.

链接本文:

http://rwdl.xisu.edu.cn/CN/10.13959/j.issn.1003-2398.2020.04.011 或 http://rwdl.xisu.edu.cn/CN/Y2020/V35/I4/81

[1]	薛冰,张黎明,耿涌,等.基于空间重构视角的老工业区人地关系研究——以沈阳铁西为例[J]. 地理科学,2015,35(7):890-897.[Xue Bing, Zhang Liming, Geng Yong, et al. Spatial-restructuring based analysis on human-land relationship in old industrial area:Case of the Tiexi district, Shenyang[J]. Scientia Geographical Sinica, 2014, 35(7):890-897.]
[2]	池娇,焦利民,董婷,等.基于POI数据的城市功能区定量识别及其可视化[J]. 测绘地理信息,2016,41(2):68-73.[Chi Jiao, Jiao Limin, Dong Ting, et al. Quantitative identification and visualization of urban functional area based on POI data[J]. Journal of Geomatics, 2016,41(2):68-73.]
[3]	陈鸥.城市土地集约利用潜力评价——以长春市为例[D]. 长春:东北师范大学,2004:35.[Chen Ou. Potential Evaluation of Urban Land Intensive Use:The Case of Changchun[D]. Changchun:Northeast Normal University, 2004:35.]
[4]	傅伯杰.地理学综合研究的途径与方法:格局与过程耦合[J]. 地理学报,2014,69(8):1052-1059.[Fu Bojie. The integrated studies of geography:Coupling of patterns and processes[J]. Acta Geographica Sinica, 2014,69(8):1052-1059.]
[5]	刘毅.论中国人地关系演进的新时代特征——"中国人地关系研究" 专辑序言[J]. 地理研究,2018,37(8):1477-1484.[Liu Yi. Preface to the special issue on Chinese man-land relationships in a new era[J]. Geographical Research, 2018,37(8):1477-1484.]
[6]	黄宁,张珞平,刘启明.基于持续发展理念的城市功能区划理论研究[J]. 环境与可持续发展,2009,34(5):62-65.[Huang Ning, Zhang Luoping, Liu Qiming. Study on the theory of urban functional zoning based on the concept of sustainable development[J]. Environment and Sustainable Development, 2009,34(5):62-65.]
[7]	陈浩,张京祥.功能区与行政区"双轨制":城市政府空间管理与创新——以南京市区为例[J]. 经济地理,2017,37(10):59-67.[Chen Hao, Zhang Jingxiang. Rising dual system of functional territory and administrative territory:Unraveling the spatiality of urban state and its transformation based on the case study of the city proper of Nanjing[J]. Economic Geography, 2017,37(10):59-67.]
[8]	王永利,倪师军,张成江,等.城市功能区地质环境风险性分区评价方法[J]. 四川地质学报,2010,30(3):326-329.[Wang Yongli, Ni Shijun, Zhang Chengjiang, et al. A risk assessment method for geological environment of functional region of city[J]. Acta Geologica Sichuan, 2010,30(3):326-329.]
[9]	Zhang X, Du S. A linear dirichlet mixture model for decomposing scenes:Application to analyzing urban functional zonings[J]. Remote Sensing of Environment, 2015,169:37-49.
[10]	徐明珠.基于用地现状图的城市空间格局要素提取研究[D]. 南京:南京师范大学,2014:33-53.[Xu Mingzhu. Research on Urban Spatial Pattern Components Extraction from Land-use Map[D]. Nanjing:Nanjing Normal University, 2014:33-53.]
[11]	张花娟.包头市不同功能区土壤重金属分布特征及污染评价[D]. 包头:内蒙古科技大学,2015:16-18.[Zhang Huajuan. Distributing Characteristic and Pollution Evaluation of Heavy Metals in Different Function Zones of Baotou[D]. Baotou:Inner Mongolia University of Science & Technology, 2015:16-18.]
[12]	Zhai W, Bai X, Shi Y, et al. Beyond Word2vec:An approach for urban functional region extraction and identification by combining Place2vec and POIs[J]. Computers, Environment and Urban Systems, 2019,74:1-12.
[13]	薛冰,肖骁,李京忠,等.基于POI大数据的城市零售业空间热点分析——以辽宁省沈阳市为例[J]. 经济地理,2018,38(5):36-43.[Xue Bing, Xiao Xiao, Li Jingzhong, et al. POI-based analysis on retail's spatial hot blocks at a city level:A case study of Shenyang, China[J]. Economic Geography, 2018,38(5):36-43.]
[14]	薛冰,肖骁,李京忠,等.基于POI大数据的老工业区房价影响因素空间分异与实证[J]. 人文地理,2019,34(4):106-114.[Xue Bing, Xiao Xiao, Li Jingzhong, et al. POI-based analysis on the affecting factors of prices' spatial distribution in the traditional industrial area[J]. Human Geography, 2019,34(4):106-114.]
[15]	邬群勇,张良盼,吴祖飞.利用出租车轨迹数据识别城市功能区[J]. 测绘科学技术学报,2018,35(4):86-90,97.[Wu Qunyong, Zhang Liangpan, Wu Zufei. Identifying city functional areas using taxi trajectory data[J]. Journal of Geomatics Science and Technology, 2018,35(4):86-90,97.]
[16]	赵莹,张朝枝,金钰涵.基于手机数据可靠性分析的旅游城市功能空间识别研究[J]. 人文地理, 2018,33(3):142-149.[Zhao Ying, Zhang Chaozhi, Jin Yuhan. How reliable are cellular positioning data in tourism environments? An exploration of functional regions[J]. Human Geography, 2018,33(3):142-149.]
[17]	王俊珏,叶亚琴,方芳.基于核密度与融合数据的城市功能分区研究[J]. 地理与地理信息科学,2019,35(3):66-71.[Wang Junyu, Ye Yaqin, Fang Fang. A study of urban functional zoning based on kernel density estimation and fusion data[J]. Geography and Geo-Information Science, 2019,35(3):66-71.]
[18]	薛冰,李京忠,肖骁,等.基于兴趣点(POI)大数据的人地关系研究综述:理论、方法与应用[J]. 地理与地理信息科学,2019,35(6):51-60.[Xue Bing, Li Jingzhong, Xiao Xiao, et al. Overview of manland relationship research based on POI data:Theory, method and application[J]. Geography and Geo-Information Science, 2019,35(6):51-60.]
[19]	Li J, Long Y, Dang A R. Live-work-play centers of Chinese cities:Identification and temporal evolution with emerging data[J]. Computers, Environment and Urban Systems, 2018,71:58-66.
[20]	Zhang X, Du S, Wang Q. Hierarchical semantic cognition for urban functional zones with VHR satellite images and POI data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017,132:170-184.
[21]	薛冰,李京忠,肖骁,等.基于大数据的城市人地关系分析与应用计算平台[J]. 全球变化数据学报,2018,2(3):294-298.[Xue Bing, Li Jingzhong, Xiao Xiao, et al. Analysis and application computing platform of urban man-land relationship based on big data[J]. Journal of Global Change Data & Discovery, 2018,2(3):294-298.]
[22]	Shaw S L, Tsou M H, Ye X. Editorial:Human dynamics in the mobile and big data era[J]. International Journal of Geographical Information Science, 2016,30(9):1687-1693.
[23]	刘云刚.大庆市资源型产业结构转型对策研究[J]. 经济地理,2000, 20(5):26-29.[Liu Yungang. Studies on the adjustment of the industrial structure of resource type cities in the northeast area:Daqing as an example[J]. Economic Geography, 2000,20(5):26-29.]
[24]	许吉黎,焦华富.成熟期煤炭资源型城市社会空间结构研究——以安徽省淮南市为例[J]. 经济地理,2014,34(1):61-68.[Xu Jili, Jiao Huafu. Social spatial structure model of coal city in mature period:A case study of Huainan city in Anhui province[J]. Economic Geography, 2014,34(1):61-68.]
[25]	陈雪梅.文化旅游视角下资源型城市空间结构规划研究[D]. 绵阳:西南科技大学,2018:28-66.[Chen Xuemei. Study on the Spatial Structure Planning of Resource:Based Cities from the Perspective of Cultural Tourism:A Case Study of Wangcang County[D]. Mianyang:Southwest University of Science and Technology, 2018:28-66.]
[26]	黄晓军,黄馨.20世纪长春城市社会空间结构演化[J]. 地理科学进展,2013,32(11):1629-1638.[Huang Xiaojun, Huang Xin. Evolution of Changchun's social spatial structure in the 20th century[J]. Progress in Geography, 2013,32(11):1629-1638.]
[27]	于长晖,黄代东.本溪市城市规划与城市形态的演变[J]. 辽宁科技大学学报,2009,32(2):200-205.[Yu Changhui, Huang Daidong. Benxi urban planning and evolvement of urban morphology[J]. Journal of University of Science and Technology Liaoning, 2009,32(2):200-205.]
[28]	栗鸿源.国家发改委出台指导意见——引导培育资源型城市转型发展新动能[J]. 资源导刊,2017(2):38.[Li Hongyuan. The national development and reform commission issued guidelines to foster new drivers of transformation and development of resource-based cities[J]. Resources Guide, 2017(2):38.]
[29]	赵虹,刘宝,范宏斌.辽宁省资源型城市转型驱动因素分析——以辽宁省本溪市为例[J]. 中国集体经济,2010(6):41-43.[Zhao Hong, Liu Bao, Fan Hongbin. Analysis on the driving factors for the transformation of resource-based cities in Liaoning province:A case study of Benxi city in Liaoning province[J]. China Collective Economy, 2010(6):41-43.]
[30]	张玲.POI的分类标准研究[J]. 测绘通报,2012(10):82-84.[Zhang Ling. Research on POI classification standard[J]. Bulletin of Surveying and Mapping, 2012(10):82-84.]
[31]	中国城市规划设计研究院.GB50137-2011, 城市用地分类与规划建设用地标准[S]. 北京:中国建筑工业出版社,2011:4-6.[China Academy of Urban Planning & Design. GB50137-2011, Code for Classification of Urban Land Use and Planning Standards of Development Land[S]. Beijing:China Architecture & Building Press, 2011:4-6.]
[32]	国家统计局,国家质量监督检验检疫总局, 国家标准化管理委员会.GB/T 4754-2017, 国民经济行业分类[S]. 北京:中国标准出版社,2017:9-86.[National Bureau of Statistics, General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration. GB/T 4754-2017, Industrial Classification for National Economic Activities[S]. Beijing:Standards Press of China, 2017:9-86.]
[33]	戴激光,杜阳,方鑫鑫,等.多特征约束的高分辨率光学遥感影像道路提取[J]. 遥感学报,2018,22(5):777-791.[Dai Jiguang, Du Yang, Fang Xinxin, et al. Road extraction method for high resolution optical remote sensing images with multiple feature constraints[J]. Journal of Remote Sensing, 2018,22(5):777-791.]
[34]	薛冰,肖骁,李京忠,等.基于POI大数据的沈阳市住宅与零售业空间关联分析[J]. 地理科学,2019,39(3):442-449.[Xue Bing, Xiao Xiao, Li Jingzhong, et al. POI-based spatial correlation of the residences and retail industry in Shenyang city[J]. Scientia Geographica Sinica, 2019,39(3):442-449.]
[35]	Hinneburg A. An efficient approach to clustering in large multimedia databases with noise[J]. Knowing Discovery and Data Mining, 1998,98:58-65.
[36]	赵卫锋,李清泉,李必军.利用城市POI数据提取分层地标[J]. 遥感学报,2011,15(5):973-988.[Zhao Weifeng, Li Qingquan, Li Bijun. Extracting hierarchical landmarks from urban POI data[J]. Journal of Remote Sensing, 2011,15(5):973-988.]
[37]	李强,郑新奇,晁怡.大数据支持的武汉市功能识别与分布特征研究[J]. 测绘科学,2020,45(5):119-125.[Li Qiang, Zheng Xinqi, Chao Yi. Research on function identification and distribution characteristics of Wuhan supported by big data[J]. Science of Surveying and Mapping, 2020,45(5):115-125.]
[38]	李波.本溪以资源型城市结构为基础进行三大结构调整拉开西迁东进序幕[J]. 财经界,2006(12):76.[Li Bo. Based on the resourcebased city structure, Benxi starts three major structural adjustments, namely, westward migration and eastward migration[J]. Money China, 2006(12):76.]
[39]	赵航.产业集聚效应与城市功能空间演化[J]. 城市问题,2011(3):16-20.[Zhao Hang. Industrial agglomeration effect and urban functional space evolution[J]. Urban Problems, 2011(3):16-20.]
[40]	章锦河,陆林.资源型城市旅游形象设计研究——以淮南市为例[J]. 人文地理,2001,16(1):16-19.[Zhang Jinhe, Lu Lin. A study on the resource city tourism image design:A case study of Huainan city[J]. Human Geography, 2001,16(1):16-19.]