摘要
基于重庆市5 937家物流企业,采用物流企业生态位模型和计数模型,从多尺度甄别物流企业优势区位及影响因素。结果表明:①在区县尺度上,生态位宽度处于高中低水平的区县分别有8、8、22个,围绕主城区和万州区呈现"一主一副"的空间结构;②在街道尺度上,物流企业密度处于前3层的29个街道中仅有1个街道的物流企业态处于前3层,物流企业密度处于后3层的413个街道中有29个街道的物流企业态处于前3层,态值与密度空间分布总体不协调,高密度低态值问题突出;③商品交易市场交易额和是否有物流节点布局与物流企业数量高度正相关,不受规模影响;对物流企业规模加权后,工业产值被是否有港口布局因素取代。
Based on 5 937 logistics enterprises in Chongqing, the ecological niche model of logistics enterprises and counting model are adopted to identify the advantageous location and influencing factors of logistics enterprises from multiple scales. The following conclusions are drawn in the article. 1) At the district and county scales, there are 8, 8 and 22 districts and counties with a niche breadth in the high, medium and low levels, and a spatial structure of"one main gathering center and one sub-concentrating center"is presented around the main urban area and Wanzhou District;2) On the street scale, 29 streets’ logistics enterprises density are on the first three floors, but among these 29 streets, only one street’s logistics enterprises state is on the first three floors;and 413 streets’ logistics enterprises density are on the last three floors, but among these 413 streets, 29 streets’ logistics enterprises state is on the first three floors;There are not coordinated in spatial distribution between logistics enterprises state and logistics enterprises density, and the outstanding problem is that logistics enterprises density in some streets is higher, but logistics enterprises state is lower;3) From the perspective of influencing factors, trading volume in commodity exchange market and the presence of logistics nodes are highly positively correlated with the number of logistics enterprises, which are not affected by the scale. After weighting the scale of logistics enterprises, industrial output value is replaced by whether there is a factor of port layout.
作者
刘思婧
孙文杰
李国旗
Liu Sijing;Sun Wenjie;Li Guoqi(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,Sichuan,China;National Engineering Laboratory of Integrated Tramportalion Big Data Application Technology,Southwest Jiaotong University,Chengdu 610031,Sichuan,China;Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China)
出处
《地理科学》
CSSCI
CSCD
北大核心
2020年第3期393-400,共8页
Scientia Geographica Sinica
基金
国家自然科学基金项目(71603219,41701126)
四川省科技厅应用基础研究项目(2019YJ0217)
成都市软科学研究项目(2017-RK00-00365-ZF)资助。
关键词
物流企业
生态位理论
优势区位
影响因素
重庆市
logistics enterprise
niche theory
advantageous location
influencing factor
Chongqing
作者简介
刘思婧(1984-),女,四川成都人,副教授,硕导,主要从事物流系统规划与优化研究。E-mail:liusijing@swjtu.edu.cn;通讯作者:孙文杰,E-mail:sunwenjie@my.swjtu.edu.cn。
