中国城市网络化物流联系空间格局与结构——基于快递网点数据的研究

doi:10.18306/dlkxjz.2020.11.003

Abstract

Abstract:

As an important form of city relations, express logistics directly involves interurban material flows. Based on the data of multiple express logistics branches in 2019, this study analyzed the spatial pattern, characteristics, and structure of urban networks covering 336 urban administrative regions in China. The data were analyzed using GIS spatial analysis, social network analysis, Zipf law, and so on to reveal the features of China's urban system and regional development under globalization. The conclusions are as follows: 1) The spatial pattern of interurban logistics connection is hierarchical and imbalanced, and it shows the characteristics of westward decline due to the location conditions. 2) With regard to the overall connection, the density of the express logistics network is low and has a core-periphery structure, and the core area presents a small world characteristic with good accessibility and reciprocity. In addition, the intensity of agglomeration indicates the development trend of different urban agglomerations and reflects the radiation effect of core cities. 3) With regard to the local connection, provinces such as Guangdong, Zhejiang, and Jiangsu have formed high-level network connection and clusters, and promoted cross-regional flow of resources. 4) With regard to the individual networks, the degree of urban connectivity conforms to the Zipf law with a double fractal. In addition, economic and population scales have a strong correlation with urban connectivity, and city administrative level also plays an important role. However, express logistics companies still need to strengthen their service capabilities to reduce the risk of under capacity during the peak period.

Key words: urban network, express logistics branches, interlocking world city network model, spatial connection, China

TANG Chenghui, MA Xueguang. Spatial pattern and structure of networked logistics connection of cities in China based on express logistics branch data[J].PROGRESS IN GEOGRAPHY, 2020, 39(11): 1809-1821.

Figures/Tables 7

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References 40

[1]	Castells M. The rise of the network society[M]. Oxford, UK: Basil Blackwell, 1996: 294-302.
[2]	Beaverstock J V, Smith R G, Taylor P J. World-city network: A new metageography?[J]. Annals of the Association of American Geographers, 2000,90(1):123-134.
[3]	Yeung W C. Rethinking relational economic geography[J]. Transactions of the Institute of British Geographers, 2005,30(1):37-51.
[4]	马学广. 全球城市区域的空间生产与跨界治理研究 [M]. 北京: 科学出版社, 2016: 25-45.
	[ Ma Xueguang. Research on spatial production and cross-border governance in global city regions. Beijing,China: Science Press, 2016: 25-45. ]
[5]	马学广, 李贵才. 世界城市网络研究方法论[J]. 地理科学进展, 2012,31(2):255-263.
	[ Ma Xueguang, Li Guicai. Research methods for world city network and relevant inspirations. Progress in Geography, 2012,31(2):255-263. ]
[6]	Mahutga M C, Ma X, Smith D A, et al. Economic globalization and the structure of the world city system: The case of airline passenger data[J]. Urban Studies, 2010,47(9):1925-1947.
[7]	焦敬娟, 王姣娥, 金凤君, 等. 高速铁路对城市网络结构的影响研究: 基于铁路客运班列分析[J]. 地理学报, 2016,71(2):265-280.
	[ Jiao Jingjuan, Wang Jiao'e, Jin Fengjun, et al. Impact of high-speed rail on inter-city network based on the passenger train network in China, 2003-2013. Acta Geographica Sinica, 2016,71(2):265-280. ]
[8]	陈伟, 刘卫东, 柯文前, 等. 基于公路客流的中国城市网络结构与空间组织模式[J]. 地理学报, 2017,72(2):224-241.
	[ Chen Wei, Liu Weidong, Ke Wenqian, et al. The spatial structures and organization patterns of China's city networks based on the highway passenger flows. Acta Geographica Sinica, 2017,72(2):224-241. ]
[9]	Van Meeteren M, Bassens D. World cities and the uneven geographies of financialization: Unveiling stratification and hierarchy in the world city archipelago[J]. International Journal of Urban and Regional Research, 2016,40(1):62-81.
[10]	刘承良, 桂钦昌, 段德忠, 等. 全球科研论文合作网络的结构异质性及其邻近性机理[J]. 地理学报, 2017,72(4):737-752.
	[ Liu Chengliang, Gui Qinchang, Duan Dezhong, et al. Structural heterogeneity and proximity mechanism of global scientific collaboration network based on co-authored papers. Acta Geographica Sinica, 2017,72(4):737-752. ]
[11]	Hoyler M, Watson A. Global media cities in transnational media networks[J]. Tijdschrift voor Economische en Sociale Geografie, 2013,36(1):90-108.
[12]	Taylor P. The new geography of global civil society: NGOs in the world city network[J]. Globalizations, 2004,1(2):265-277.
[13]	甄峰, 王波, 陈映雪. 基于网络社会空间的中国城市网络特征: 以新浪微博为例[J]. 地理学报, 2012,67(8):1031-1043.
	[ Zhen Feng, Wang Bo, Chen Yingxue. China's city network characteristics based on social network space: An empiricalanalysis of Sina Micro-blog. Acta Geographica Sinica, 2012,67(8):1031-1043. ]
[14]	邓楚雄, 宋雄伟, 谢炳庚, 等. 基于百度贴吧数据的长江中游城市群城市网络联系分析[J]. 地理研究, 2018,37(6):1181-1192.
	[ Deng Chuxiong, Song Xiongwei, Xie Binggeng, et al. City network link analysis of urban agglomeration in the middle Yangtze River Basin based on the Baidu Post Bar data. Geographical Research, 2018,37(6):1181-1192. ]
[15]	王垚, 钮心毅, 宋小冬, 等. 人流联系和经济联系视角下区域城市关联比较: 基于手机信令数据和企业关联数据的研究[J]. 人文地理, 2018,33(2):84-91.
	[ Wang Yao, Niu Xinyi, Song Xiaodong, et al. The comparison of regional urban relations between people flow and capital flow: A study based on mobile phone signaling data and firm interlook data. Human Geography, 2018,33(2):84-91. ]
[16]	潘峰华, 方成, 李仙德. 中国城市网络研究评述与展望[J]. 地理科学, 2019,39(7):1093-1101.
	[ Pan Fenghua, Fang Cheng, Li Xiande. The progress and prospect of city network research on China. Scientia Geographica Sinica, 2019,39(7):1093-1101. ]
[17]	Xu Z, Li Y J, Yuan Y B. Behind the scenes: The evolving urban networks of film production in China[J]. Urban Geography, 2018,39(1):1-18.
[18]	Martinus K, Sigler T J, Searle G, et al. Strategic globalizing centers and sub-network geometries: A social network analysis of multi-scalar energy networks[J]. Geoforum, 2015,64(6):78-89.
[19]	马学广, 李鲁奇. 中国城市网络化空间联系结构: 基于银行网点数据的研究[J]. 地理科学进展, 2017,36(4):393-403.
	[ Ma Xueguang, Li Luqi. Network spatial connection structure of Chinese cities based on bank branches data. Progress in Geography, 2017,36(4):393-403. ]
[20]	王成金. 中国物流企业的空间组织网络[J]. 地理学报, 2008,63(2):135-146.
	[ Wang Chengjin. Spatial organizational network of loigsitcs company in China. Acta Geographica Sinica, 2008,63(2):135-146. ]
[21]	叶磊, 段学军. 基于物流企业的长三角地区城市网络结构[J]. 地理科学进展, 2016,35(5):622-631.
	[ Ye Lei, Duan Xuejun. City network structure of the Yangtze River Delta region based on logistics enterprise network. Progress in Geography, 2016,35(5):622-631. ]
[22]	李钢, 陈未雨, 杨兰, 等. 武汉市快递自提点的空间格局与集聚模式研究[J]. 地理科学进展, 2019,38(3):407-416.
	[ Li Gang, Chen Weiyu, Yang Lan, et al. Spatial pattern and agglomeration mode of parcel collection and delivery points in Wuhan City. Progress in Geography, 2019,38(3):407-416. ]
[23]	倪玲霖, 王姣娥, 胡浩. 中国快递企业的空间组织研究: 以顺丰速运为例[J]. 经济地理, 2012,32(2):82-88.
	[ Ni Linglin, Wang Jiao'e, Hu Hao. Spatial organization of express delivery enterprise in China: A case study of Shunfeng Express. Economic Geography, 2012,32(2):82-88. ]
[24]	刘荷, 王健. 基于轴辐理论的区域物流网络构建及实证研究[J]. 经济地理, 2014,34(2):108-113.
	[ Liu He, Wang Jian. The construction of regional logistics networks and its empirical research based on Hub-and-Spoke theory. Economic Geography, 2014,34(2):108-113. ]
[25]	Taylor P, Derudder B, Hoyler M, et al. City-dyad analyses of China's integration into the world city network[J]. Urban Studies, 2012,51(5):868-882. ]
[26]	孙阳, 张落成, 姚士谋. 基于快递企业总—分机构的中国城市网络空间结构[J]. 中国科学院大学学报, 2017,34(5):591-597.
	[ Sun Yang, Zhang Luocheng, Yao Shimou. Spatial structure of urban network in China based on the headquarters and branches of express enterprises. Journal of University of Chinese Academy of Sciences, 2017,34(5):591-597. ]
[27]	李鲁奇, 马学广. 基于运单数据的中国快递型物流网络格局、结构与功能: 以宅急送为例[J]. 地理科学, 2019,39(1):89-97.
	[ Li Luqi, Ma Xueguang. Pattern, structure and function of China's Express logistics network based on waybill data: A case study of ZJS express. Scientia Geographica Sinica, 2019,39(1):89-97. ]
[28]	Thill J C, Lim H. Intermodal containerized shipping in foreign trade and regional accessibility advantages[J]. Journal of Transport Geography, 2010,18(4):530-547.
[29]	Yang H, Nie Y C, Zhang H B, et al. Insight to the express transport network[J]. Computer Physics Communications, 2009,18(9):1511-1515.
[30]	王克强, 万宁娜. 长三角地区城市城际联系度测度: 基于物流数据视角的分析[J]. 城市问题, 2017 (10):25-37.
	[ Wang Keqiang, Wan Ningna. Measurement of urban intercity connections in the Yangtze River Delta region: Based on the perspective of logistics data. Urban Problems, 2017(10):25-37. ]
[31]	董琦, 甄峰. 基于物流企业网络的中国城市网络空间结构特征研究[J]. 人文地理, 2013,28(4):71-76.
	[ Dong Qi, Zhen Feng. The study on spatial structure characteristics of China's city network based on the logistics enterprise network. Human Geography, 2013,28(4):71-76. ]
[32]	龚梦, 祁春节. 城市物流网络空间布局规划研究: 以江苏省为例[J]. 城市发展研究, 2013,20(1):42-48.
	[ Gong Meng, Qi Chunjie. Design on logistics network and nodes layout of cities in Jiangsu Province. Urban Development Studies, 2013,20(1):42-48. ]
[33]	林涛, 谢夏成. 快递网络的要素、结构与上海节点的空间格局[J]. 交通运输研究, 2017,3(5):39-49.
	[ Lin Tao, Xie Xiacheng. Elements, structure of express delivery network and their spatial pattern in Shanghai. Transportation Research, 2017,3(5):39-49. ]
[34]	沈丽珍, 席广亮, 秦萧, 等. 基于快递物流测度的区域流动空间特征: 以江苏省为例[J]. 人文地理, 2018,33(1):102-108.
	[ Shen Lizhen, Xi Guangliang, Qin Xiao, et al. The research on the characteristics of the regional space of flows based on measurement of the express logistic of flows: A case study of Jiangsu Province. Human Geography, 2018,33(1):102-108. ]
[35]	聂晶鑫, 黄亚平, 刘合林, 等. 基于社会网络分析的武汉城市圈城镇生活性关联特征[J]. 经济地理, 2017,37(3):63-70.
	[ Nie Jingxin, Huang Yaping, Liu Helin, et al. The associated features of urban life in Wuhan metropolitan area based on social network analysis. Economic Geography, 2017,37(3):63-70. ]
[36]	Hennemann S, Derudder B. An alternative approach to the calculation and analysis of connectivity in the world city network[J]. Environment and Planning B, 2014,41(3):392-412.
[37]	Zhao M X, Wu K, Liu X J, et al. A novel method for approximating intercity networks: An empirical comparison for validating the city networks in two Chinese city-regions[J]. Journal of Geographical Sciences, 2015,25(3):337-354.
[38]	刘军. 整体网分析讲义: Ucinet软件实用指南 [M]. 上海: 上海人民出版社, 2009: 30-42.
	[ Liu Jun. Handouts of overall network: Ucinet software practical guide. Shanghai, China: Shanghai People's Press. 2009: 30-42. ]
[39]	杨文龙, 杜德斌, 马亚华, 等. “一带一路”沿线国家贸易网络空间结构与邻近性[J]. 地理研究, 2018,37(11):96-113.
	[ Yang Wenlong, Du Debin, Ma Yahua, et al. Network structure and proximity of the trade network in the Belt and Road region. Geographical Research, 2018,37(11):96-113. ]
[40]	段七零, 胡章鸿, 毛建明. 基于齐夫法则的江苏省旅游收入规模结构变化研究[J]. 人文地理, 2012,27(3):86-92.
	[ Duan Qiling, Hu Zhanghong, Mao Jianming. Study on the variation of scale structure of tourism income in Jiangsu Province based on Zipf law. Human Geography, 2012,27(3):86-92. ]

地区	网络规模	网络密度	平均最短路径	聚集系数	互惠性
全国	336	0.51	1.71	0.51	0.36
核心区	62	0.73	1.43	0.68	0.65
边缘区	274	0.41	2.53	0.39	0.22

Spatial pattern and structure of networked logistics connection of cities in China based on express logistics branch data

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