Tropical Geography ›› 2020, Vol. 40 ›› Issue (1): 88-100.doi: 10.13284/j.cnki.rddl.003164
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Received:
2019-04-19
Revised:
2019-07-04
Online:
2020-01-10
Published:
2020-02-24
Contact:
Li Lixun
E-mail:eesllx@mail.sysu.edu.cn
CLC Number:
Zhou Lina, Li Lixun. Spatial Distribution and Format difference of Large-Scale Retail Business Facilities: A Case Study of Guangzhou Based on POI Data[J].Tropical Geography, 2020, 40(1): 88-100.
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Tab.1
Distribution of three kinds of large-scale retail business facilities in Guangzhou"
区名 | 大型零售 商业设施 | 大型购物中 心和商场 | 大型综合 超市 | 大型专业店 |
---|---|---|---|---|
荔湾区 | 48 | 35 | 2 | 11 |
越秀区 | 109 | 92 | 13 | 4 |
海珠区 | 125 | 73 | 19 | 33 |
天河区 | 234 | 145 | 26 | 63 |
白云区 | 259 | 141 | 28 | 90 |
番禺区 | 195 | 114 | 20 | 61 |
花都区 | 99 | 56 | 13 | 30 |
黄埔区 | 65 | 40 | 6 | 19 |
增城区 | 81 | 34 | 11 | 36 |
南沙区 | 32 | 24 | 4 | 4 |
从化区 | 27 | 10 | 3 | 14 |
中心城区 | 840 | 530 | 91 | 219 |
全市 | 1 274 | 764 | 145 | 365 |
Tab.2
Traffic direction analysis of spatial distribution of large-scale retail business facilities"
指向性 | 区域 | 指标 | 大型零售商业设施总体 | 大型购物中心和商场 | 大型综合超市 | 大型专业店 |
---|---|---|---|---|---|---|
道路交通 指向性 (100 m 缓冲区) | 全市 | 缓冲区内设施数量占比/% | 74.07 | 73.09 | 61.54 | 81.10 |
设施到干道最邻近距离/m | 94.41 | 91.63 | 144.95 | 80.57 | ||
中心城区 | 缓冲区内设施数量占比/% | 76.79 | 77.17 | 63.74 | 81.28 | |
设施到干道最邻近距离/m | 84.83 | 80.98 | 125.86 | 77.09 | ||
轨道交通 指向性 (700 m 缓冲区) | 全市 | 缓冲区内设施数量占比/% | 48.29 | 53.22 | 43.56 | 38.46 |
设施到站点最邻近距离/m | 1 002.68 | 968.98 | 1 137.54 | 1 028.03 | ||
中心城区 | 缓冲区内设施数量占比/% | 60.79 | 65.79 | 56.96 | 56.96 | |
设施到站点最邻近距离/m | 748.39 | 740.06 | 654.20 | 833.81 |
Tab.3
The brands and distribution of large-scale supermarkets in Guangzhou"
区名 | 总计 | 麦德龙 | 沃尔玛 | 家乐福 | 永旺 | 卜蜂莲花 | 世纪华联 | 百佳 | 好又多 | 华润万家 | 广百超市 | 大润发 | 其他 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
荔湾区 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
越秀区 | 13 | 0 | 2 | 1 | 2 | 0 | 1 | 4 | 0 | 2 | 1 | 0 | 0 |
海珠区 | 19 | 0 | 4 | 1 | 0 | 0 | 0 | 7 | 1 | 3 | 0 | 0 | 3 |
天河区 | 26 | 1 | 2 | 1 | 7 | 1 | 1 | 4 | 0 | 4 | 3 | 0 | 2 |
白云区 | 28 | 2 | 5 | 1 | 3 | 2 | 4 | 1 | 3 | 1 | 0 | 0 | 6 |
番禺区 | 20 | 1 | 2 | 1 | 3 | 0 | 1 | 2 | 1 | 2 | 1 | 1 | 5 |
花都区 | 13 | 1 | 0 | 1 | 1 | 0 | 2 | 0 | 1 | 1 | 1 | 1 | 4 |
黄埔区 | 6 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 1 |
增城区 | 11 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 2 | 2 | 2 |
南沙区 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 |
从化区 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
总计 | 145 | 5 | 17 | 6 | 17 | 5 | 11 | 20 | 11 | 15 | 9 | 6 | 23 |
Tab.4
Variables affecting spatial distribution of large-scale retail business facilities in Guangzhou"
变量代码 | 变量名称 | 变量意义及选取原因 | |
---|---|---|---|
A 人口因素 | A1 | 人口规模 | 人口规模与零售商业设施潜在的消费者规模具有密切联系。 |
B 经济因素 | B1 | 国内生产总值 | 经济发展水平在一定程度上影响居民可支配收入和消费性支出水平,进而影响居民商业消费。 |
C 交通因素 | C1 | 路网密度 | 路网密度是衡量区域交通通达性的一项重要指标,在通达性便利的区域往往零售商业设施集聚度高( |
C2 | 地铁站密度 | 快速轨道交通对提高区域交通通达性具有重要作用,拥有轨道站点的区域交通便利性更高,对人口和商业活动的集聚有促进作用( | |
D 区位因素 | D1 | 距市中心的距离* | 距离城市中心越近,该区域在城市空间结构中所处的等级往往越高,具有较好的服务设施配套和商业氛围( |
E 租金因素 | E1 | 平均商铺租金水平 | 不同等级、不同类别零售商业设施的布局选择受其不同盈利能力和不同承租能力的影响和制约( |
Tab.5
Regression result of influencing factors of spatial distribution of large-scale retail business facilities in Guangzhou"
变量代码 | 大型零售商业设施 | ||
---|---|---|---|
OLS | SLM | SEM | |
A1 | 0.788*** | 0.725*** | 0.706*** |
B1 | 0.169** | 0.165** | 0.218*** |
C1 | 0.165 | 0.112 | 0.140 |
C2 | -0.083 | 0.046 | 0.134 |
D1 | 0.132 | 0.135 | 0.148 |
E1 | 0.255** | 0. 253** | 0.247** |
R2 | 0.464 | 0.480 | 0.487 |
AIC | 377.917 | 375.413 | 373.714 |
SC | 399.443 | 400.014 | 395.240 |
LogL | -181.958 | -179.706 | -179.857 |
Tab.6
Regression result of influencing factors of spatial distribution of large-scale retail business facilities in different formats in Guangzhou"
变量 代码 | OLS | ||
---|---|---|---|
大型购物中心和商场 | 大型综合超市 | 大型专业店 | |
A1 | 0.702*** | 0.338*** | 0.466*** |
B1 | 0.206*** | 0.075* | -0.001 |
C1 | 0.106 | 0.269*** | 0.220 |
C2 | -0.176 | 0.170 | -0.053 |
D1 | -0.019 | 0.228*** | 0.443*** |
E1 | 0.177* | 0.077 | —1) |
R2 | 0.497 | 0.334 | 0.280 |
AIC | 337.343 | 229.425 | 362.828 |
SC | 358.869 | 250.951 | 384.354 |
LogL | -161.671 | -107.712 | -174.414 |
[1] | Anselin L . 1988. Spatial Econometrics: Methods and Models. Dordrecht:Kluwer Academic Publishers. |
[2] | Anselin L, Anil K B, Raymond F and Mann J Y . 1996. Simple Diagnostic Tests for Spatial Dependence. Regional Science and Urban Economics, 1:77-104. |
[3] | Bollinger C R and Ihlanfeldt K R . 1997. The Impact of Rapid Rail Transit on Economic Development: The Case of Atlanta’s MARTA. Journal of Urban Economics, 42(2):179-204. |
[4] | Buton K J. 1984. 城市经济学.上海社科院部门经济研究所城市经济研究室. 译. 北京:商务印书馆. |
[ Buton K J. 1984. Urban Economics.Urban Economics Department of National Economy Institute of Shanghai Academy of Social Science. Trans. Beijing: The Commercial Press. ] | |
[5] | Christaller W . 1966. Central Places in Southern German. London:Prentice Hall. |
[6] | Christoph T and Thomas R . 2008. The Evolving Concept of Retail Attractiveness: What Makes Retail Agglomerations Attractive When Customers Shop at Them?. Journal of Retailing and Consumer Services, 15(3):127-143. |
[7] | 柴彦威, 翁桂兰, 沈洁 . 2008. 基于居民购物消费行为的上海城市商业空间结构研究. 地理研究, 17(4):897-906. |
[ Chai Yanwei, Weng Guilan and Shen Jie . 2008. A Study on Commercial Structure of Shanghai Based on Residents &Rsquo Shopping Behavior. Geographical Research, 17(4):897-906. ] | |
[8] | 陈蔚珊, 柳林, 梁育填 . 2016. 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. 地理研究, 35(4):703-716. |
[ Chen Weishan, Liu Lin and Liang Yutian . 2016. Retail Center Recognition and Spatial Aggregating Feature Analysis of Retail Formats in Guangzhou Based on POI Data. Geographical Research, 35(4):703-716. ] | |
[9] | Dawson J A and Kirby D A . 1980. Retailing Geography. London:Croom Helm. |
[10] | Garner B J . 1966. The Internal Structure of Retail Nucleations. Evanston, Ill:Northwestern University. |
[11] | 广州市统计局. 2019. 2018广州市统计年鉴. 北京:中国统计出版社. |
[ Guangzhou Municipal Bureau of Statistics. 2019. 2018 Guangzhou Statistical Yearbook. Beijing: China Statistics Press. ] | |
[12] | Haining R and Zhang J . 2003. Spatial Data Analysis:Theory and Practice. Oxford: Cambridge University Press. |
[13] | Hotelling H . 1929. Stability in Competition. Economic Journal, 39(153):41-57. |
[14] | Huff D L . 1964. Defining and Estimating a Trading Area. The Journal of Marketing, 28(3):34-38. |
[15] | 胡庆武, 王明, 李清泉 . 2014. 利用位置签到数据探索城市热点与商圈. 测绘学报, 43(3):314-321. |
[ Hu Qingwu, Wang Ming and Li Qingquan . 2014. Urban Hotspot and Commercial Area Exploration with Check-in Data. Acta Geodaetica et Cartographica Sinica, 43(3):314-321. ] | |
[16] | Jones K and Simmons J . 1993. Location, Location, Location: Analyzing the Retailing Environment. Canada:Nelson. |
[17] | 林耿, 阎小培 . 2003. 广州市商业功能区空间结构研究. 人文地理, 18(3):37-41. |
[ Lin Geng and Yan Xiaopei . 2003. Study on the Spatial Structure of Commercial Zone in Guangzhou. Human Geography, 18(3):37-41. ] | |
[18] | 刘娜 . 2005. 华南地区家具业发展趋势. 长沙:中南林业科技大学. |
[ Liu Na . 2005. The Research on Development of Furniture Industry in South China: Based on the Aspect of Industrial Cluster. Changsha: Central South University of Forestry and Technology. ] | |
[19] | 马晓龙 . 2007. 西安市大型零售商业空间结构与市场格局研究. 城市规划, 31(2):55-61. |
[ Ma Xiaolong . 2007. Spatial Structure and Marketing Pattern of Large Retail Business in Xi’an. City Planning Review, 31(2):55-61. ] | |
[20] | 毛蒋兴, 闫小培 . 2004. 城市交通干道对土地利用的廊道效应研究——以广州大道为例. 地理与地理信息科学, 20(5):58-61. |
[ Mao Jiangxing and Yan Xiaopei . 2004. Corridor Effect of the Urban Transport Artery on Land Use: A Case Study of Guangzhou Avenue. Geography and Geo-Information Science, 20(5):58-61. ] | |
[21] | Moran P A P . 1950. Notes on Continuous Stochastic Phenomena. Biometrika, 37:17-23. |
[22] | 宁越敏, 黄胜利 . 2005. 上海市区商业中心的等级体系及其变迁特征. 地域研究与开发, 24(2):15-19. |
[ Ning Yuemin and Huang Shengli . 2005. The Hierarchical System and Its Changing Characteristic of the Retail Centers in Shanghai. Areal Research and Development, 24(2):15-19. ] | |
[23] | 饶传坤, 蔡异翔 . 2016. 杭州市大型零售商业设施的空间扩展特征. 经济地理, 36(2):117-124. |
[ Rao Chuankun and Cai Yixiang . 2016. Spatial Characteristics of Large-Scale Business Facilities in Hangzhou City. Economic Geography, 36(2):117-124. ] | |
[24] | Reilly W J. 1931. The Lay of Retail Gravitation. New York:Knickers Blocker Press. |
[25] | 王法辉 . 2009. 基于GIS的数量方法与应用.姜世国,滕骏华. 译. 北京:商务印书馆. |
[ Wang Fahui. 2009. Quantitative Methods and Applications in GIS.Jiang Shiguo, Teng Junhua. Trans.. Beijing: The Commercial Press. ] | |
[26] | 王慧, 黄玖菊, 李永玲, 阎欣, 许旺土 . 2013. 厦门城市空间出行便利性及小汽车依赖度分析. 地理学报, 68(4):477-490. |
[ Wang Hui, Huang Jiuju, Li Yonglin, Yan Xin and Xu Wangtu . 2013. Evaluating and Mapping the Walking Accessibility, Bus Availability and Car Dependence in Urban Space: A Case Study of Xiamen, China. Acta Geographica Sinica, 68(4):477-490. ] | |
[27] | 王珏晗, 周春山 . 2018. 广州市商业型健身房空间分布及其影响因素. 热带地理, 38(1):120-130. |
[ Wang Juehan and Zhou Chunshan . 2018. Spatial Distribution and Its Influential Factors of Commercial Fitness Clubs in Guangzhou. Tropical Geography, 38(1):120-130. ] | |
[28] | 王祥利 . 2011. 长沙市商业网点布局研究. 长沙:湖南大学. |
[ Wang Xiangli . 2011. Research on the Distribution of Commercial Network in Changsha. Changsha: Hunan University. ] | |
[29] | 许学强, 周素红, 林耿 . 2002. 广州市大型零售商店布局分析. 城市规划, 26(7):23-28. |
[ Xu Xueqiang, Zhou Suhong and Lin Geng . 2002. The Locational Analysis of Guangzhou’s Large Retail Emporia. City Planning Review, 26(7):23-28. ] | |
[30] | 杨林川, 张衔春, 洪世键, 林浩韬, 成庚 . 2016. 公共服务设施步行可达性对住宅价格的影响——基于累积机会的可达性度量方法. 南方经济, 34(1):57– 70. |
[ Yang Linchuan, Zhang Xianchun, Hong Shijian, Lin Haotao and Cheng Geng . 2016. The Impact of Walking Accessibility of Public Services on Housing Prices: Based on the Cumulative Opportunities Measure. South China Journal of Economics, 34(1):57-70. ] | |
[31] | 杨吾扬 . 1994. 北京市零售商业与服务业中心和网点的过去、现在和未来. 地理学报, 49(1):9-17. |
[ Yang Wuyang . 1994. The Retailing and Services Center and Network of Beijing: Then, Now and Long Before. Acta Geographica Sinica, 49(1):9-17. ] | |
[32] | 张小英, 巫细波 . 2016. 广州购物中心时空演变及对城市商业空间结构的影响研究. 地理科学, 36(2):231-238. |
[ Zhang Xiaoying and Wu Xibo . 2016. Spatial-Temporal Evolution of Malls in Guangzhou City and Its Impact on Urban Commercial Spatial Structure. Scientia Geographica Sinica, 36(2):231-238. ] | |
[33] | 张燕 . 2010. 广州汽车产业集群发展的实证研究. 广州:暨南大学. |
[ Zhang Yan . 2010. An Empirical Study on Development of Guangzhou Automobile Industrial Cluster. Guangzhou: Jinan University. ] | |
[34] | 周素红, 郝新华, 柳林 . 2014. 多中心化下的城市商业中心空间吸引衰减率验证:深圳市浮动车GPS时空数据挖掘. 地理学报, 69(12):1810-1820. |
[ Zhou Suhong, Hao Xinhua and Liu Lin . 2014. Validation of Spatial Decay Law Caused by Urban Commercial Center’s Mutual Attraction in Polycentric City: Spatio-Temporal Data Mining of Floating Cars’ GPS Data in Shenzhen. Acta Geographica Sinica, 69(12):1810-1820. ] | |
[35] | 周素红, 林耿, 闫小培 . 2008. 广州市消费者行为与商业业态空间及居住空间分析. 地理学报, 63(4):395-404. |
[ Zhou Suhong, Lin Geng and Yan Xiaopei . 2008. The Relationship among Consumer’s Behavior, Urban Commercial and Residential Spatial Structure in Guangzhou, China. Acta Geographica Sinica, 63(4):395-404. ] | |
[36] | 朱枫, 宋小冬 . 2003. 基于GIS的大型百货零售商业设施布局分析——以浦东新区为例. 武汉大学学报(工学版), 36(3):46-52. |
[ Zhu Feng and Song Xiaodong . 2003. Application of GIS in Spatial Location Analysis of Large Retail Stores: A Case Study in Pudong New Area of Shanghai. Engineering Journal of Wuhan University, 36(3):46-52. ] |
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