1. School of Geographical Science, Southwest of University, Chongqing 400715, China; 2. Key Laboratory of Monitoring, Evaluation and EarlyWarning of Territorial Spatial Planning Implementation, Ministry of Natural Resources, Chongqing 401147, China; 3. Research Center for New Land-Sea Corridor and Regional Development, Southwest University, Chongqing 400715, China
Abstract:In this paper, Python code was used to obtain POI data related to post office, postal express and logistics express according to the classification code of Amap, and 10584 logistics terminal network in Chongqing were obtained after screening, then use spatial autocorrelation analysis and disequilibrium index, nearest neighbor index to explores the spatial distribution pattern of logistics terminal network, sorts out the differences in the organization and operation modes of terminal network in Chongqing. This has great theoretical and practical significance for the construction of urban and rural logistics system and the enrichment of urban and rural logistics layout theory, in order to provide strong support for the reasonable distribution of logistics terminal outlets and promote the rationalization of urban and rural logistics distribution system, so as to promote the integration of urban and rural development. The results show that: 1) The distribution of logistics terminal network is uneven in Chongqing, and concentrated in the main city metropolitan area and other areas with high economic level, The spatial distribution of each type of network showed obvious agglomeration characteristics, and the overall spatial distribution showed significant positive correlation characteristics. 2) The clustering degree of various types of logistics terminal network is intelligent express cabinet > third party post station > logistics company direct outlets. 3) The logistics system of Chongqing presents the layout of logistics network at two levels: city-town/village town. 4) The urban and rural logistics transport mode presents integrated development and dual structure coexist.
陈治国, 陈俭, 杜金华. 我国物流业与国民经济的耦合协调发展——基于省际面板数据的实证分析[J]. 中国流通经济, 2020, 34(1): 9-20. [Chen Zhiguo, Chen Jian, Du Jinhua. Study on coupling coordination development between logistics industry and national economy in China: An empirical analysis based on provincial panel data[J]. China Business and Market, 2020, 34(1):9-20.]
[2]
张锦, 陈义友.物流“最后一公里”问题研究综述[J]. 中国流通经济, 2015, 29(4):23-32. [Zhang Jin, Chen Yiyou. The review of research on the "last mile" in logistics[J]. China Business and Market, 2015, 29(4):23-32.]
[3]
罗震东, 何鹤鸣. 新自下而上进程——电子商务作用下的乡村城镇化[J]. 城市规划, 2017, 41(3):31-40. [Luo Zhendong, He Heming. New urbanization from below in China: Rural urbanization driven by e-commerce[J]. City Planning Review, 2017, 41(3):31-40.]
[4]
Dablanc L, Browne M. Introduction to special section on logistics sprawl[J/OL]. Journal of Transport Geography, 2019, 88:102390. https://doi.org/10.1016/j.jtrangeo.2019.01.010.
[5]
Hesse M. Urban space and logistics: On the road to sustainability? [J]. World Transport Policy and Practice, 1995, 1(4):39-45.
[6]
Chen Zhengyu, Chen Hao, Ho Koki. Analytical optimization method for space logistics[J]. Journal of Spacecraft and Rockets, 2018, 55(6): 1582-1586.
[7]
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[J]. Human Geography, 2018, 33(1):102-108.]
[8]
程秀娟, 李晶晶, 杨洁辉, 等.河南省物流业空间格局——基于百度地图和面板数据[J]. 人文地理, 2018, 33(5):114-122. [Cheng Xiujuan, Li Jingjing, Yang Jiehui, et al. Spatial patterns of Henan logistics industry based on a geographic analysis of Baidu maps and panel data[J]. Human Geography, 2018, 33(5):114-122.]
[9]
崔宏凯, 张林, 王子健, 等.物流产业发展和区域经济增长的关联效应研究——基于长江经济带三大都市圈的面板数据[J]. 经济问题, 2021(3):78-85. [Cui Hongkai, Zhang Lin, Wang Zijian, et al. Research on the correlation effect between the development of logistics industry and regional economic growth: Based on panel data of three metropolitan areas of the Yangtze Economic Belt[J]. On Economic Problems, 2021(3):78-85.]
[10]
郭子雪, 曹秀萌.低碳视角下物流产业与区域经济耦合协调发展——以京津冀为例[J]. 河北农业大学学报(社会科学版), 2022, 24(2):16-24. [Guo Zixue, Cao Xiumeng. The coordinated development of logistics industry and regional economy from the perspective of low carbon: Taking Beijing, Tianjin and Hebei as an example [J]. Journal of Hebei Agricultural University (Social Sciences), 2022, 24(2):16-24.]
[11]
戢晓峰, 张雪, 陈方, 等.基于多源数据的区域物流与经济发展关联特性分析——以云南省为例[J]. 经济地理, 2016, 36(1):39-45. [Ji Xiaofeng, Zhang Xue, Chen Fang, et al. Associated characteristics analysis of regional logistics and economic development based on Multi-Source Data: The case of Yunnan Province[J]. Economic Geography, 2016, 36(1):39-45.]
[12]
王钰, 疏爽.物流产业集聚对区域经济增长的空间溢出效应研究——基于长三角城市群的实证分析[J]. 中南大学学报(社会科学版), 2021, 27(1):76-89. [Wang Yu, Shu Shuang. On the spatial spillover effect of logistics industry agglomeration on regional economic growth: Based on the empirical analysis of the Yangtze River Delta urban agglomeration[J]. Journal of Central South University (Social Sciences), 2021, 27(1):76-89.]
[13]
苏欣.绿色供应链视角下的我国物流企业创新发展路径探讨[J]. 商业经济研究, 2021(8):110-113. [Su Xin. Research on the innovation development path of logistics enterprises in China from the perspective of green supply chain[J]. Journal of Commercial Economics, 2021(8):110-113.]
[14]
谢泗薪, 帅世耀.供给侧改革下物流企业战略发展路径与策略创新[J]. 中国流通经济, 2017, 31(2):31-38. [Xie Sixin, Shuai Shiyao. Research on the strategic development path and tactics innovation of logistics enterprises under the background of supply-side reform in China[J]. China Business and Market, 2017, 31(2):31-38.]
[15]
朱慧, 周根贵. 国际陆港物流企业空间格局演化及其影响因素——以义乌市为例[J]. 经济地理, 2017, 37(2):98-105. [Zhu Hui, Zhou Gengui. Spatial agglomeration evolution and influencing factors of logistics enterprises in international inland port: A case study of Yiwu City[J]. Economic Geography, 2017, 37(2):98-105.]
[16]
宗会明, 陈欣, 易峥.基于POI数据的重庆市主城区批发业空间分布特征研究[J]. 现代城市研究, 2020(5):24-31. [Zong Huiming, Chen Xin, Yi Zheng. Spatial pattern and distribution characteristics of wholesale industry in Chongqing's urban area based on POI Data [J]. Modern Urban Research, 2020(5):24-31.]
[17]
叶飞, 周凌云, 刘启钢, 等.铁路货运场站物流设施设备集中管理模式研究[J]. 铁道运输与经济, 2021, 43(11):42-46, 55. [Ye Fei, Zhou Lingyun, Liu Qigang, et al. Centralized management mode for logistics facilities and equipment in railway freight yards[J]. Railway Transport and Economy, 2021, 43(11):42-46, 55.]
[18]
李国旗, 金凤君, 陈娱, 等. 基于物流热度的中国物流业空间格局[J]. 地理科学进展, 2015, 34(5):629-637. [Li Guoqi, Jin Fengjun, Chen Yu, et al. Spatial patterns of logistics industry based on a geographic analysis of hotness degree[J]. Progress in Geography, 2015, 34(5):629-637.]
[19]
林刚, 范仓海.农村电商物流网点空间布局差异性分析与合理性评价——以长三角地区为例[J]. 商业经济研究, 2021(19):115-118. [Li Gang, Fan Canghai. Analysis and rationality evaluation of spatial layout differences of rural e-commerce logistics outlets: A case study of the Yangtze River Delta region[J]. Journal of Commercial Economics, 2021(19):115-118.]
[20]
李如达. 农村快递企业经营模式探讨[J]. 农业科技与信息, 2018(14):68-71. [Li Ruda. Discussion on the business model of rural express delivery enterprises[J]. Agricultural Science-Technology and Information, 2018(14):68-71.]
[21]
刘泠岑, 孙中孝, 吴锋, 等.基于夜间灯光数据的中国县域发展活力与均衡性动态研究[J]. 地理学报, 2023, 78(4):811-823. [Liu Lingcen, Sun Zhongxiao, Wu Feng, et al. Dynamics of developmental vitality and equilibria of counties in China based on nighttime lights data[J]. Acta Geographica Sinica, 2023, 78(4):811-823.]
[22]
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 Zhiqiang, Ye Zhongnan. 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.]
[23]
陈梦根, 张帅.中国地区经济发展不平衡及影响因素研究——基于夜间灯光数据[J]. 统计研究, 2020, 37(6):40-54. [Chen Menggen, Zhang Shuai. Regional economic imbalance in China and the influence factors: Based on night-time light data[J]. Statistical Research, 2020, 37(6):40-54.]
[24]
王占宏, 白穆, 李宏建.地理空间大数据服务自然资源调查监测的方向分析[J]. 地理信息世界, 2019, 26(1):1-5. [Wang Zhanhong, Bai Mu, Li Hongjian. Direction analysis on service for natural resource investigation and monitoring using geospatial big data[J]. Geomatics World, 2019, 26(1):1-5.]
[25]
吴俊杰, 郑凌方, 杜文宇, 等.从风险预测到风险溯源:大数据赋能城市安全管理的行动设计研究[J]. 管理世界, 2020, 36(8):189-202. [Wu Junjie, Zheng Lingfang, Du Wenyu, et al. From risk predicting to risk tracing: An action design research on big data-enabled urban security management[J]. Journal of Management World, 2020, 36(8):189-202.]
[26]
薛冰, 肖骁, 李京忠, 等.基于兴趣点(POI)大数据的东北城市空间结构分析[J]. 地理科学, 2020, 40(5):691-700. [Xue Bing, Xiao Xiao, Li Jingzhong, et al. Analysis of spatial economic structure of northeast China cities based on points of interest big data[J]. Scientia Geographica Sinica, 2020, 40(5):691-700.]
[27]
宗会明, 吕瑞辉.基于物流企业数据的2007—2017年中国城市网络空间特征及演化[J]. 地理科学, 2020, 40(5):760-767. [Zong Huiming, Lv Ruihui. The spatial characteristics and evolution of Chinese urban network based on logistics enterprise data in 2007-2017[J]. Scientia Geographica Sinica, 2020, 40(5):760-767.]
[28]
丁彦文, 许捍卫, 汪成昊.融合OSM路网与POI数据的城市功能区识别研究[J]. 地理与地理信息科学, 2020, 36(4):57-63. [Ding Yanwen, Xu Hanwei, Wang Chenghao. Research on urban functional area recognition integrating OSM road network and POI data[J]. Geography and Geo-Information Science, 2020, 36(4):57-63.]
[29]
赵鑫, 宋英强, 刘轶伦, 等.基于卫星遥感和POI数据的人口空间化研究——以广州市为例[J]. 热带地理, 2020, 40(1):101-109. [Zhao Xin, Song Yingqiang, Liu Yilun, et al. Population spatialization based on satellite remote sensing and POI data: Guangzhou as an example[J]. Tropical Geography, 2020, 40(1):101-109.]
[30]
肖作鹏, 王缉宪, 袁泉, 等.国际视野下城市物流政策实践的挑战与创新[J]. 国际城市规划, 2022, 37(4):4-11. [Xiao Zuopeng, Wang Jixian, Yuan Quan, et al. International urban logistics policy practices: Challenges and innovations[J]. Urban Planning International, 2022, 37(4):4-11.]
[31]
孙占权.基于电商环境的农村物流体系构建策略探讨[J]. 商业经济研究, 2019(7):77-80. [Sun Zhanquan. Discussion of rural logistics system construction strategy based on e-commerce environment [J]. Journal of Commercial Economics, 2019(7):77-80.]
[32]
肖臻泉, 莫合塔尔普拉提, 安朝高.基于POI数据的新疆农家乐空间分布特征及影响因素研究[J]. 西南大学学报(自然科学版), 2022, 44(4):144-154. [Xiao Zhenquan, Polat Muhtar, An Chaogao. Spatial distribution and influencing factors of Xinjiang farmhouse resorts: An analysis based on POI data[J]. Journal of Southwest University (Natural Science Edition), 2022, 44(4):144-154.]
[33]
王金伟, 郭嘉欣, 刘乙, 等.中国滑雪场空间分布特征及其影响因素[J]. 地理研究, 2022, 41(2):390-405. [Wang Jinwei, Guo Jiaxin, Liu Yi, et al. Spatial distribution characteristics and influencing factors of ski resorts in China[J]. Geographical Research, 2022, 41(2):390-405.]