[1] The decentralization of intrametropolitan business services in the Paris region:patterns, interpretation, consequences[J]. Economic Geography, 80, 381-404(2004).

[2] . Research on the commercial space of big cities(2008).

[3] The future of retailing[J]. Journal of Retailing, 93, 1-6(2017).

[4] A location allocation model for facility planning in a competitive environment[J]. Geographical Analysis, 16, 39-51(1982).

[5] The urban retailing system: Location,cognition,and behaviour[J]. Geographical Journal, 149, 371(1982).

[6] Retail structure of Beijing[J]. Environment & Planning A, 34, 1785-1808(2002).

[7] [7] 许学强, 周素红, 林耿. 广州市大型零售商店布局分析[J]. 城市规划, 2002,26(7):23-28. [ Xu XQ, Zhou SH, LinG. The locational analysis of Guangzhou's large retail emporia[J]. City Planning Review, 2002,26(7):23-28. ] [ Xu X Q, Zhou S H, Lin G. The locational analysis of Guangzhou's large retail emporia[J]. City Planning Review, 2002,26(7): 23-28. ]

[8] [8] 于伟, 杨帅, 郭敏, 等. 功能疏解背景下北京商业郊区化研究[J]. 地理研究, 2012,31(1):123-134. [ YuW, YangS, GuoM, et al. A research on commerical suburbanization in Beijing under the background of urban function dissemination[J]. Geographical Research, 2012,31(1):123-134. ] [ Yu W, Yang S, Guo M, et al. A research on commerical suburbanization in Beijing under the background of urban function dissemination[J]. Geographical Research, 2012,31(1):123-134. ]

[9] Location and agglomeration: The distribution of retail and food businesses in dense urban environments[J]. Journal of Planning Education & Research, 34, 374-393(2014).

[10] [10] 郭崇义. 便利店区位类型研究——以北京、广州等城市便利店周边环境调研为例[J].商业经济与管理,2005(11):38-44. [ Guo CY. A study on lication type for convenience store[J]. Business economics and administration, 2005(11):38-44. ] [ Guo C Y. A study on lication type for convenience store[J]. Business economics and administration, 2005(11):38-44. ]

[11] [11] 柴彦威, 翁桂兰, 沈洁. 基于居民购物消费行为的上海城市商业空间结构研究[J]. 地理研究, 2008,27(4):897-906. [ Chai YW, Weng GL, ShenJ. A study on commercial structure of Shanghai basedon residents' shopping behavior[J]. Geographical Research, 2008,27(4):897-906. ] [ Chai Y W, Weng G L, Shen J. A study on commercial structure of Shanghai basedon residents' shopping behavior[J]. Geographical Research, 2008,27(4):897-906. ]

[12] [12] 何永达, 赵志田. 我国零售业空间分布特征及动力机制的实证分析[J]. 经济地理, 2012,32(10):77-82. [ He YD, Zhao ZT. Empirical study on spatial distribution and dynamic mechanism ofretail industry in China[J]. Economy Geography, 2012,32(10):77-82. ] [ He Y D, Zhao Z T. Empirical study on spatial distribution and dynamic mechanism ofretail industry in China[J]. Economy Geography, 2012,32(10):77-82. ]

[13] [13] 肖琛, 陈雯, 袁丰, 等. 大城市内部连锁超市空间分布格局及其区位选择——以南京市苏果超市为例[J]. 地理研究, 2013,32(3):465-475. [ XiaoC, ChenW, YuanF, et al. Spatial pattern and location decision of chain supermarketswithin large cities:A case study of suguo supermarkets in Nanjing[J]. Geographical Research, 2013,32(3):465-475. ] [ Xiao C, Chen W, Yuan F, et al. Spatial pattern and location decision of chain supermarketswithin large cities:A case study of suguo supermarkets in Nanjing[J]. Geographical Research, 2013,32(3):465-475. ]

[14] [14] 黄晓冰, 陈忠暖. 基于信息熵的地铁站点商圈零售业种结构的研究——以广州15个地铁站点商圈为例[J]. 经济地理, 2014,34(3):38-44. [ Huang XB, Chen ZN. The retail business structure of the metro site based on the information entropy—acase study of the 15 subway site in Guangzhou[J]. Economy Geography, 2014,34(3):38-44. ] [ Huang X B, Chen Z N. The retail business structure of the metro site based on the information entropy—acase study of the 15 subway site in Guangzhou[J]. Economy Geography, 2014,34(3): 38-44. ]

[15] [15] 王芳, 高晓路, 许泽宁. 基于街区尺度的城市商业区识别与分类及其空间分布格局——以北京为例[J]. 地理研究, 2015,34(6):1125-1134. [ WangF, Gao XL, Xu ZN. Identification and classification of urban commercialdistricts at block scale[J]. Geographical Research, 2015,34(6):1125-1134. ] [ Wang F, Gao X L, Xu Z N. Identification and classification of urban commercialdistricts at block scale[J]. Geographical Research, 2015,34(6):1125-1134. ]

[16] [16] 王士君, 浩飞龙, 姜丽丽. 长春市大型商业网点的区位特征及其影响因素[J]. 地理学报, 2015,70(6):893-905. [ Wang SJ, Hao FL, Jiang LL. Locations and their determinants of large-scale commercial sites in Changchun, China[J]. Acta geographica sinica, 2015,70(6):893-905. ] [ Wang S J, Hao F L, Jiang L L. Locations and their determinants of large-scale commercial sites in Changchun, China[J]. Acta geographica sinica, 2015,70(6):893-905. ]

[17] [17] 张小英, 巫细波. 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[J]. 地理科学, 2016,36(2):231-238. [ Zhang XY, Wu XB. Spatial-temporal evolution of malls in Guangzhou city and its impact on urban commercial spatial structure[J]. Scientia Geographica Sinica, 2016,36(2):231-238.] [ Zhang X Y, Wu X B. Spatial-temporal evolution of malls in Guangzhou city and its impact on urban commercial spatial structure[J]. Scientia Geographica Sinica, 2016,36(2):231-238.]

[18] [18] 浩飞龙, 王士君, 冯章献, 等. 基于POI数据的长春市商业空间格局及行业分布[J]. 地理研究, 2018,37(2):366-378. [ Hao FL, Wang SJ, Feng ZX, et al. Spatial pattern and its industrial distribution of commercialspace in Changchun based on POI data[J]. Geographical Research, 2018,37(2):366-378. ] [ Hao F L, Wang S J, Feng Z X, et al. Spatial pattern and its industrial distribution of commercialspace in Changchun based on POI data[J]. Geographical Research, 2018,37(2):366-378. ]

[19] [19] 饶传坤, 蔡异翔. 杭州市大型零售商业设施的空间扩展特征[J]. 经济地理, 2016,36(2):117-124. [ Rao CK, Cai YX. Spatial development characteristics of large-scale retailBusiness facilities in Hangzhou city[J]. Economy Geography, 2016,36(2):117-124. ] [ Rao C K, Cai Y X. Spatial development characteristics of large-scale retailBusiness facilities in Hangzhou city[J]. Economy Geography, 2016,36(2):117-124. ]

[20] [20] 吴康敏, 张虹鸥, 王洋, 等. 广州市零售业态空间分异特征与机制[J]. 热带地理, 2018,38(2):196-207. [ Wu KM, Zhang HO, WangY, et al. Spatial differentiation and formation mechanism of retail industry in Guangzhou[J]. Tropical Geography, 2018,38(2):196-207. ] [ Wu K M, Zhang H O, Wang Y, et al. Spatial differentiation and formation mechanism of retail industry in Guangzhou[J]. Tropical Geography, 2018,38(2):196-207. ]

[21] [21] 吴康敏, 张虹鸥, 王洋, 等. 广州市多类型商业中心识别与空间模式[J]. 地理科学进展, 2016,35(8):963-974. [ Wu KM, Zhang HO, WangY, et al. Identify of the multiple types of commercial center in Guangzhou and its spatial pattern[J]. Progress in Geography, 2016,35(8):963-974. ] [ Wu K M, Zhang H O, Wang Y, et al. Identify of the multiple types of commercial center in Guangzhou and its spatial pattern[J]. Progress in Geography, 2016,35(8):963-974. ]

[22] [22] 周艳, 李妍羲, 黄悦莹, 等. 基于社交媒体数据的城市人群分类与活动特征分析[J]. 地球信息科学学报, 2017,19(9):1238-1244. [ ZhouY, Li YX, Huang YY, et al. Analysis of classification methods and activity characteristics of urban population based on socialmedia data[J]. Journal of Geo-information Science, 2017,19(9):1238-1244. ] [ Zhou Y, Li Y X, Huang Y Y, et al. Analysis of classification methods and activity characteristics of urban population based on socialmedia data[J]. Journal of Geo-information Science, 2017,19(9):1238-1244. ]

[23] [23] 潘碧麟, 王江浩, 葛咏, 等. 基于微博签到数据的成渝城市群空间结构及其城际人口流动研究[J]. 地球信息科学学报, 2019,21(1):68-76. [ Pan BL, Wang JH, GeY, et al. Spatial structure and population flow analysis in Chengdu-Chongqing urban agglomeration basedon Weibocheck-in big data[J]. Journal of Geo-information Science, 2019,21(1):68-76. ] [ Pan B L, Wang J H, Ge Y, et al. Spatial structure and population flow analysis in Chengdu-Chongqing urban agglomeration basedon Weibocheck-in big data[J]. Journal of Geo-information Science, 2019,21(1):68-76. ]

[24] [24] 王楠, 杜云艳, 易嘉伟, 等. 基于手机信令数据的北京市空间品质时空动态分析[J]. 地球信息科学学报, 2019,21(1):86-96. [ WangN, Du YY, Yi JW, et al. Spatial-temporal dynamic analysis of urban space quality based on cellular signaling data[J]. Journal of Geo-information Science, 2019,21(1):86-96. ] [ Wang N, Du Y Y, Yi J W, et al. Spatial-temporal dynamic analysis of urban space quality based on cellular signaling data[J]. Journal of Geo-information Science, 2019,21(1):86-96. ]

[25] [25] 周佳颖, 王俊蓉, 张景秋. 微博用户的中国传统节日感知及区域差异研究[J]. 地球信息科学学报, 2019,21(1):77-85. [ Zhou JY, Wang JR, Zhang JQ. Perception and regional differences of chinese traditional festivals by Weibo users[J]. Journal of Geo-information Science, 2019,21(1):77-85. ] [ Zhou J Y, Wang J R, Zhang J Q. Perception and regional differences of chinese traditional festivals by Weibo users[J]. Journal of Geo-information Science, 2019,21(1):77-85. ]

[26] Citizens as sensors: The world of volunteered geography[M]. John Wiley & Sons, Ltd, 211-221(2007).

[27] Geographic information systems and science: Today and tomorrow[J]. Geographic Information Sciences, 15, 3-9(2009).

[28] Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr[J]. Cartography & Geographic Information Science, 40, 61-77(2013).

[29] et alSocial sensing: A new approach to understanding our socioeconomic environments[J]. Annals of the Association of American Geographers, 105, 512-530(2015).

[30] [30] 徐晓宇, 李梅. 基于开源大数据的北京地区餐饮业空间分布格局[J]. 地球信息科学学报, 2019,21(2):215-225. [ Xu XY, LiM. Analysis on spatial distribution pattern of Beijing restaurants based on open source big data[J]. Journal of Geo-information Science, 2019,21(2):215-225. ] [ Xu X Y, Li M. Analysis on spatial distribution pattern of Beijing restaurants based on open source big data[J]. Journal of Geo-information Science, 2019,21(2):215-225. ]

[31] [31] 胡庆武, 王明, 李清泉. 利用位置签到数据探索城市热点与商圈[J]. 测绘学报, 2014,43(3):314-321. [ Hu QW, WangM, Li QQ. Urban hotspot and commercial area exploration with check-in data[J]. Acta Geodaetica et Cartographica Sinica, 2014,43(3):314-321. ] [ Hu Q W, Wang M, Li Q Q. Urban hotspot and commercial area exploration with check-in data[J]. Acta Geodaetica et Cartographica Sinica, 2014,43(3):314-321. ]

[32] [32] 王芳, 高晓路. 北京市商业空间格局及其与人口耦合关系研究. 城市规划, 2015,39(11):23-29. [ WangF, Gao XL. Structure of commercial space and its coupling relationship with population distribution in Beijing[J]. City Planning Review, 2015,39(11):23-29. ] [ Wang F, Gao X L. Structure of commercial space and its coupling relationship with population distribution in Beijing[J]. City Planning Review, 2015,39(11):23-29. ]

[33] [33] 王洋, 金利霞, 张虹鸥, 等. 广州市居民住房条件的空间分异格局与形成机制. 地理科学, 2017,37(6):868-875. [ WangY, Jin LX, Zhang HO, et al. The spatial differentiation pattern and formation mechanism of housing conditions in Guangzhou City, China[J]. Scientia Geographica Sinica, 2017,37(6):868-875. ] [ Wang Y, Jin L X, Zhang H O, et al. The spatial differentiation pattern and formation mechanism of housing conditions in Guangzhou City, China[J]. Scientia Geographica Sinica, 2017,37(6):868-875. ]

[34] [34] 李苗裔, 马妍, 孙小明, 等. 基于多源数据时空熵的城市功能混合度识别评价[J]. 城市规划, 2018. [ Li MY, MaY, Sun XM, et al. Application of spatial and temporal entropy based on multi-source data for measuring the mix degree of urban functions[J]. City Planning Review, 2018. ] [ Li M Y, Ma Y, Sun X M, et al. Application of spatial and temporal entropy based on multi-source data for measuring the mix degree of urban functions[J]. City Planning Review, 2018. ]

[35] [35] 周素红, 郝新华, 柳林. 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[J]. 地理学报, 2014,69(12):1810-1820. [ Zhou SH, Hao XH, LiuL. 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[J]. Acta geographica sinica, 2014,69(12):1810-1820. ] [ Zhou S H, Hao X H, Liu L. 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[J]. Acta geographica sinica, 2014,69(12):1810-1820. ]

[36] Study on historical changes of retial formats based on consumers behavior. Changsha: Central South University(2012).

[37] et alThe role of big data and predictive analytics in retailing[J]. Journal of Retailing, 93, 79-95(2017).

[38] [38] 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 WS, LiuL, Liang YT. Retail center recognition and spatial aggregating feature analysisof retail formats in Guangzhou based on POI data[J]. Geographical Research, 2016,35(4):703-716. ] [ Chen W S, Liu L, Liang Y T. Retail center recognition and spatial aggregating feature analysisof retail formats in Guangzhou based on POI data[J]. Geographical Research, 2016,35(4):703-716. ]

[39] [39] 陈蔚珊, 柳林, 梁育填. 广州轨道交通枢纽零售业的特征聚类及时空演变[J]. 地理学报, 2015,70(6):879-892. [ Chen WS, LiuL, Liang YT. Characterizing the spatio-temporal evolution of retail businessat transfer hubs of Guangzhou metro[J]. Acta geographica sinica, 2015,70(6):879-892. ] [ Chen W S, Liu L, Liang Y T. Characterizing the spatio-temporal evolution of retail businessat transfer hubs of Guangzhou metro[J]. Acta geographica sinica, 2015,70(6):879-892. ]

[40] [40] 陈晨, 王法辉, 修春亮. 长春市商业网点空间分布与交通网络中心性关系研究[J]. 经济地理, 2013,33(10):40-47. [ ChenC, Wang FH, Xiu CL. The relationship between the spatial distribution of commercial networks and street centrality in Changchun[J]. Econimic Geography, 2013,33(10):40-47. ] [ Chen C, Wang F H, Xiu C L. The relationship between the spatial distribution of commercial networks and street centrality in Changchun[J]. Econimic Geography, 2013,33(10):40-47. ]

[41] et alLocation analysis of retail stores in Changchun, China: A street centrality perspective[J]. Cities, 41, 54-63(2014).

[42] [42] 张景秋, 陈叶龙, 孙颖. 基于租金的北京城市办公活动经济空间结构解析[J]. 地理科学, 2010,17(6):833-838. [ Zhang JQ, Chen YL, SunY. Spatial analysis on urban internal economic spatial structure based on rent of office buildings in Beijing city[J]. Scientia Geographica Sinica, 2010,17(6):833-838. ] [ Zhang J Q, Chen Y L, Sun Y. Spatial analysis on urban internal economic spatial structure based on rent of office buildings in Beijing city[J]. Scientia Geographica Sinica, 2010,17(6):833-838. ]

[43] [43] 武文杰, 张文忠, 董冠鹏, 等. 转型期北京住宅用地投标租金曲线的空间形态与演化[J].地理科学,2011(5):520-527. [ Wu WJ, Zhang WZ, Dong GP, et al. Spatio-temporal variation of residential land bid-rent curvesin transitional Beijing city[J]. Scientia Geographica Sinica, 2011(5):520-527. ] [ Wu W J, Zhang W Z, Dong G P, et al. Spatio-temporal variation of residential land bid-rent curvesin transitional Beijing city[J]. Scientia Geographica Sinica, 2011(5):520-527. ]

[44] The analysis and delimitation of central business district using network kernel density estimation[J]. Journal of Transport Geography, 45, 32-47(2015).

[45] et alIdentifying the determinants of housing prices in China using spatial regression and the geographical detector technique[J]. Applied Geography, 79, 26-36(2017).