武汉市主城区餐饮业空间特征及与动态人口的耦合分析
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摘要
城市餐饮业空间格局研究对城市规划及城市可持续发展具有重要意义.针对现有研究中方法单调,衍生研究以对影响因素定性分析为主的不足,采用POI数据,运用基于核密度的热点指数方法对武汉市主城区的餐饮热点进行识别,并结合工作日和休息日的百度地图热力图数据构建人口活动强度模型,对动态人口与餐饮业空间分布进行耦合分析.分析发现,武汉市主城区餐饮业可显著识别出1个一级中心、3个二级中心和9个三级中心;餐饮业分布与动态人口的空间匹配程度总体较好,工作日时匹配程度高的区域占比稍高于休息日.匹配程度为较差和差的区域依具体类型不同而散布在大型商圈外围、传统中小型商圈、旅游点、复兴街区和新兴街区.
The research on spatial pattern of urban catering industry is of great importance for urban planning and urban sustainable development.This paper focuses on the simplicity of the existing research methods and insufficiency on the qualitative analysis of influencing factors in the derivative studies.Coupling analysis between dynamic population and the spatial distribution of the catering industry is carried out through identifying the hot spots of catering in the main city of Wuhan using POI data and the hot spot index method based on nuclear density,and establishing the model of population activity intensity by combining the heat map of weekday with weekend from Baidu Map.The analysis shows that there are 1 primary center,3 secondary centers and 9 tertiary centers of the catering industry in the Wuhan main city.The spatial distribution of catering industry generally matches the dynamic population with the matching degree of weekday slightly higher than that of weekend The regions with poor and even worse matching degree are scattered on the periphery of the large-scale commercial circles,the traditional small and medium-sized shopping districts,tourist spots,renewed blocks and emerging blocks depending on their specific types.
The research on spatial pattern of urban catering industry is of great importance for urban planning and urban sustainable development.This paper focuses on the simplicity of the existing research methods and insufficiency on the qualitative analysis of influencing factors in the derivative studies.Coupling analysis between dynamic population and the spatial distribution of the catering industry is carried out through identifying the hot spots of catering in the main city of Wuhan using POI data and the hot spot index method based on nuclear density,and establishing the model of population activity intensity by combining the heat map of weekday with weekend from Baidu Map.The analysis shows that there are 1 primary center,3 secondary centers and 9 tertiary centers of the catering industry in the Wuhan main city.The spatial distribution of catering industry generally matches the dynamic population with the matching degree of weekday slightly higher than that of weekend The regions with poor and even worse matching degree are scattered on the periphery of the large-scale commercial circles,the traditional small and medium-sized shopping districts,tourist spots,renewed blocks and emerging blocks depending on their specific types.
引文
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[8]邬伦,刘亮,田原,等.基于网络K函数法的地理对象分布模式分析——以香港岛餐饮业空间格局为例[J].地理与地理信息科学,2013,29(5):7-11.WU L,LIU L,TIAN Y,et al.Spatial pattern analysis of geographic teatures using network K-Function methods with a case study of restaurant distribution in Hong Kong Island[J].Geography and Geo-Information Science,2013,29(5):7-11.(Ch).
[9]陈蔚珊,柳林,梁育填.基于POI数据的广州零售商业中心热点识别与业态集聚特征分析[J].地理研究,2016,35(4):703-716.CHEN W S,LIU L,LIANG Y T.Retail center recognition and spatial aggregating feature analysis of retail formats in Guangzhou based on POI data[J].Geographycal Research,2016,35(4):703-716.(Ch).
[10]赵委托,黄亚林,喻晶琪,等.中国省域环境污染事故的时空热点模式及演化[J].华中师范大学学报(自然科学版),2016,50(2):288-296,302.ZHAO W T,HUANG Y L,YU J Q,et al.Spatial-temporal hotspot model and evolution characteristics of China environmental pollution incidents[J].Journal of Central China Normal University(Nature Sciences),2016,50(2):288-296,302.(Ch).
[11]王钊,杨山,王玉娟,等.基于最小阻力模型的城市空间扩展冷热点格局分析——以苏锡常地区为例[J].经济地理,2016,36(3):57-64.WANG ZH,YANG SH,WANG Y J,et al.Analysis of Cold-Hot Pattern of urban spatial expansion based on Minimum Cumulative Resistance Model—a case study of SuzhouWuxi-Changzhou area[J].Economic Geography,2016,36(3):57-64.(Ch).
[12]舒舍玉,王润,孙艳伟,等.城市餐饮业的空间格局及影响因素分析——以厦门市为例[J].热带地理,2012,32(2):134-140.SHU S Y,WANG R,SUN Y W,et al.Spatial distribution of urban catering industry and its influenced factors:a case study of Xiamen City[J],Tropical Geography,2012,32(2):134-140.(Ch).
[13]王建竹.信息化下城市服务业的空间发展趋势——以北京市餐饮服务业为例[J].城市问题,2014(11):90-95.WANG J Z.The trend of spatial development of urban service industry under informationization-with a case study of catering service industry in Beijing[J].Urban Problems,2014(11):90-95.(Ch).
[14]武汉市统计局,国家统计局武汉调查队.武汉市2016年国民经济和社会发展统计公报[EB/OL].[2017-03-06].http://www.stats-hb.gov.cn/ndtjgb/fzndtjgb/115829.htm.Wuhan Statistics Bureau,Wuhan Investigation Team of National Bureau of Statistics.2016National Economic and Social Development Statistical Bulletin of Wuhan[EB/OL].[2017-03-06]. http://www.stats-hb.gov.cn/ndtjgb/fzndtjgb/115829.htm.(Ch).
[15]禹文豪,艾廷华,杨敏,等.利用核密度与空间自相关进行城市设施兴趣点分布热点探测[J].武汉大学学报(信息科学版),2016,41(2):221-227.YU W H,AI T H,YANG M,et al.Detecting“hot spots”of facility POIs based in kernel density estimation and spatial autocorrelation technique[J],Geomatics and Information Science of Wuhan University,2016,41(2):221-227.(Ch).
[16]谭欣,黄大全,赵星烁,等.基于百度热力图的职住平衡度量研究[J].北京师范大学学报(自然科学版),2016,52(5):622-627+534.TAN X,HUANG D Q,ZHAO X S,et al.Jobs housing balance based on Baidu thermodynamic diagram[J].Journal of Beijing Normal University(Natural Science),2016,52(5):622-627+534.(Ch).
[17]吴志强,叶锺楠.基于百度地图热力图的城市空间结构研究——以上海中心城区为例[J].城市规划,2016,40(4):33-40.WU Z Q,YE Z N.Research on urban spatial structure based on Baidu Heat Map:a case study on the central city of Shanghai[J].City Planning Review,2016,40(4):33-40.(Ch).
[18]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.LI J,LI M Y,LONG Y,et al.Analysis of China's multicenter cities based on Baidu Heat Map[J].Shanghai Urban Planning Review,2016(3):30-36.(Ch).
[19]汪程,黄春晓,李鹏飞,等.城市中心区人群空间利用的时空特征及动因研究——以南京市新街口地区为例[J].现代城市研究,2016(7):59-67.WANG C,HUANG C X,LI P F,et al.A research on spatio-temporal characteristics and motivation of space utilization in the center district of city:a case study of Nanjing Xinjiekou area[J],Modern Urban Research,2016(7):59-67.(Ch).
[20]王波,甄峰,张浩.基于签到数据的城市活动时空间动态变化及区划研究[J].地理科学,2015,35(2):151-160.WANG B,ZHEN F,ZHANG H.The dynamic changes of urban space-time activity and activity zoning based on checkin data in Sina web[J].Scientia Geographica Sinica,2015,35(2):151-160.(Ch).
[21]柯新利,李红艳,刘荣霞.武汉市耕地景观游憩功能与可达性的空间匹配格局[J].长江流域资源与环境,2016,25(5):751-760.KE X L,LI H Y,LIU R X.Research on the spatial mathching pattern of cultivated land landscape recreation function and accessibility in Wuhan[J].Resources and Environment in the Yangtze Basin,2016,25(5):751-760.(Ch).
[2]方嘉雯.北京五道口地区韩国餐饮业空间布局特征与集聚机理分析[J].经济地理,2014,34(12):106-113.FANG J W.The distribution characteristics and clustering mechanism of Korean catering service in Wudaokou district,Beijing[J].Economic Geography,2014,34(12):106-113.(Ch).
[3]周爱华,张远索,付晓,等.北京城区餐饮老字号空间格局及其影响因素研究[J].世界地理研究,2015,24(1):150-158.ZHOU A H,ZHANG Y S,FU X,et al.Study on the spatial distribution of Beijing Time-honored brand snackeries in GIS[J].Journal of Beijing Union University,2015,24(1):150-158.(Ch).
[4]许宽.基于网络评价的长沙城区餐饮业空间分布研究[D].长沙:湖南师范大学,2016.XU K.The Study of Space Distribution of Catering Trade in Changsha Urban Area Based on Online Review[D],Changsha:Hunan Normal University,2016.(Ch).
[5]秦萧,甄峰,朱寿佳,等.基于网络口碑度的南京城区餐饮业空间分布格局研究——以大众点评网为例[J].地理科学,2014,34(7):810-817.QIN X,ZHEN F,ZHU S J,et al.Spatial pattern of catering industry in Nanjing urban area based on the degree of public praise from internet:a case study of Dianping.com[J],Scientia Geographica Sinica,2014,34(7):810-817.(Ch).
[6]刘琪,李星星.基于大数据的深圳市餐饮业空间分布格局研究——以大众点评网为例[C]//中国城市规划学会,东莞市人民政府.持续发展理性规划——2017中国城市规划年会论文集(05城市规划新技术应用),2017:10.LIU Q,LI X X.Spatial Pattern of Catering Industry in Shenzhen Based on the Bigdata:dianping.com as an Example[C]//China urban planning association,The people’s government of dongguan.2017Chinese Urban Planning Annual Conference Proceedings(New Technology Application for Urban Planning),2017:10.(Ch).
[7]张志恒.中国餐饮业空间格局研究[D].兰州:兰州大学,2016.ZHANG Z H.A Research on the Spatial Pattern of Catering Industry in China[D].Lanzhou:Lanzhou University,2016.(Ch).
[8]邬伦,刘亮,田原,等.基于网络K函数法的地理对象分布模式分析——以香港岛餐饮业空间格局为例[J].地理与地理信息科学,2013,29(5):7-11.WU L,LIU L,TIAN Y,et al.Spatial pattern analysis of geographic teatures using network K-Function methods with a case study of restaurant distribution in Hong Kong Island[J].Geography and Geo-Information Science,2013,29(5):7-11.(Ch).
[9]陈蔚珊,柳林,梁育填.基于POI数据的广州零售商业中心热点识别与业态集聚特征分析[J].地理研究,2016,35(4):703-716.CHEN W S,LIU L,LIANG Y T.Retail center recognition and spatial aggregating feature analysis of retail formats in Guangzhou based on POI data[J].Geographycal Research,2016,35(4):703-716.(Ch).
[10]赵委托,黄亚林,喻晶琪,等.中国省域环境污染事故的时空热点模式及演化[J].华中师范大学学报(自然科学版),2016,50(2):288-296,302.ZHAO W T,HUANG Y L,YU J Q,et al.Spatial-temporal hotspot model and evolution characteristics of China environmental pollution incidents[J].Journal of Central China Normal University(Nature Sciences),2016,50(2):288-296,302.(Ch).
[11]王钊,杨山,王玉娟,等.基于最小阻力模型的城市空间扩展冷热点格局分析——以苏锡常地区为例[J].经济地理,2016,36(3):57-64.WANG ZH,YANG SH,WANG Y J,et al.Analysis of Cold-Hot Pattern of urban spatial expansion based on Minimum Cumulative Resistance Model—a case study of SuzhouWuxi-Changzhou area[J].Economic Geography,2016,36(3):57-64.(Ch).
[12]舒舍玉,王润,孙艳伟,等.城市餐饮业的空间格局及影响因素分析——以厦门市为例[J].热带地理,2012,32(2):134-140.SHU S Y,WANG R,SUN Y W,et al.Spatial distribution of urban catering industry and its influenced factors:a case study of Xiamen City[J],Tropical Geography,2012,32(2):134-140.(Ch).
[13]王建竹.信息化下城市服务业的空间发展趋势——以北京市餐饮服务业为例[J].城市问题,2014(11):90-95.WANG J Z.The trend of spatial development of urban service industry under informationization-with a case study of catering service industry in Beijing[J].Urban Problems,2014(11):90-95.(Ch).
[14]武汉市统计局,国家统计局武汉调查队.武汉市2016年国民经济和社会发展统计公报[EB/OL].[2017-03-06].http://www.stats-hb.gov.cn/ndtjgb/fzndtjgb/115829.htm.Wuhan Statistics Bureau,Wuhan Investigation Team of National Bureau of Statistics.2016National Economic and Social Development Statistical Bulletin of Wuhan[EB/OL].[2017-03-06]. http://www.stats-hb.gov.cn/ndtjgb/fzndtjgb/115829.htm.(Ch).
[15]禹文豪,艾廷华,杨敏,等.利用核密度与空间自相关进行城市设施兴趣点分布热点探测[J].武汉大学学报(信息科学版),2016,41(2):221-227.YU W H,AI T H,YANG M,et al.Detecting“hot spots”of facility POIs based in kernel density estimation and spatial autocorrelation technique[J],Geomatics and Information Science of Wuhan University,2016,41(2):221-227.(Ch).
[16]谭欣,黄大全,赵星烁,等.基于百度热力图的职住平衡度量研究[J].北京师范大学学报(自然科学版),2016,52(5):622-627+534.TAN X,HUANG D Q,ZHAO X S,et al.Jobs housing balance based on Baidu thermodynamic diagram[J].Journal of Beijing Normal University(Natural Science),2016,52(5):622-627+534.(Ch).
[17]吴志强,叶锺楠.基于百度地图热力图的城市空间结构研究——以上海中心城区为例[J].城市规划,2016,40(4):33-40.WU Z Q,YE Z N.Research on urban spatial structure based on Baidu Heat Map:a case study on the central city of Shanghai[J].City Planning Review,2016,40(4):33-40.(Ch).
[18]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.LI J,LI M Y,LONG Y,et al.Analysis of China's multicenter cities based on Baidu Heat Map[J].Shanghai Urban Planning Review,2016(3):30-36.(Ch).
[19]汪程,黄春晓,李鹏飞,等.城市中心区人群空间利用的时空特征及动因研究——以南京市新街口地区为例[J].现代城市研究,2016(7):59-67.WANG C,HUANG C X,LI P F,et al.A research on spatio-temporal characteristics and motivation of space utilization in the center district of city:a case study of Nanjing Xinjiekou area[J],Modern Urban Research,2016(7):59-67.(Ch).
[20]王波,甄峰,张浩.基于签到数据的城市活动时空间动态变化及区划研究[J].地理科学,2015,35(2):151-160.WANG B,ZHEN F,ZHANG H.The dynamic changes of urban space-time activity and activity zoning based on checkin data in Sina web[J].Scientia Geographica Sinica,2015,35(2):151-160.(Ch).
[21]柯新利,李红艳,刘荣霞.武汉市耕地景观游憩功能与可达性的空间匹配格局[J].长江流域资源与环境,2016,25(5):751-760.KE X L,LI H Y,LIU R X.Research on the spatial mathching pattern of cultivated land landscape recreation function and accessibility in Wuhan[J].Resources and Environment in the Yangtze Basin,2016,25(5):751-760.(Ch).
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