基于POI的北京物流业区位特征与分异机制

doi:10.11821/dlxb201706011

Abstract

Abstract:

The logistics nodes and logistics enterprises are the core carriers and organizational subjects of the logistics space, and their location characteristics and spatial differentiation have significant impacts on the urban logistics space distribution and logistics resources allocation. Based on Tencent Online Maps Platform from December 2014, 4396 logistics points of interest (POI) were collected in Beijing, China. Adopting the methods of industrial concentration evaluation and kernel density analysis, the spatial distribution pattern of logistics in Beijing are explored, the interaction mechanism among the type difference, supplydemand factors and location choice behavior are clarified, and the internal mechanism of spatial differentiation under the combined influence of transportation, land rent and assets are revealed. The following conclusions are drawn in the paper. (1) Logistics enterprises and logistics nodes exhibit the characteristic of both co-agglomeration and spatial separation in location, and logistics activities display the spatial pattern of "marginal area of downtown area, suburbs and exurban area", which have a low coupling degree with logistics employment space. (2) The public logistics space, namely, logistics parks and logistics centers, is produced under the guidance of the government, and the terminal logistics space consisting of logistics distribution centers serving for the specific industries and terminal users is dominated by enterprises. They have obvious differentiation in location. (3) In the formation of the logistics spatial location, the government can change the traffic condition by re-planning the transport routes and freight station locations, and control the land rent and availability of different areas by increasing or decreasing the land use of logistics, to impact the enterprise behavior and form different types of logistics space and function differentiation. In comparison, logistics enterprises meet the diverse demands of service objects through differentiation of asset allocation to promote the specialization of division and form the object differentiation of logistics space.

Key words: location, spatial differentiation, logistics node, logistics enterprise, asset specificity, Beijing

Guoqi LI, Fengjun JIN, Yu CHEN, Jingjuan JIAO, Sijing LIU. Location characteristics and differentiation mechanism of logistics industry based on points of interest:A case study of Beijing[J].Acta Geographica Sinica, 2017, 72(6): 1091-1103.

Figures/Tables 13

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大类	亚类	小类(编码)
物流节点 (Logistics nodes, LN)	物流园区\基地	政府规划(010)、企业自建(011)
	物流中心	政府规划(020)、企业自建(021)
	配送\分拨中心	未分小类(040)
	货运场站	铁路(031)、公路(032)、水运(033)、航空(034)
物流企业 (Logistics Enterprises, LE)	快递邮政类	快递企业及网点(110)、邮政企业及经营网点(111)
	仓储运输类	运输与配送类(120)、仓储类(130)
	货运代理类	未分小类(140)
	综合物流类	未分小类(150)
	其他类	未分小类(160)
物流相关设施 (Logistics related facilities, LF)	保税类	海关特殊监管区域或场所(050)
	交通运输类	机场(060)、口岸(070)
	工业园区类	未分小类(080)
	综合市场类	未分小类(090)

	LN+LE	LN	LE	LQ	HCLQ		LN+LE	LN	LE	LQ	HCLQ
东城区	0.0478	0.0090	0.0524	1.6977	160.0302	通州区	0.0616	0.0806	0.0615	1.0628	425.0280
西城区	0.0469	0.0119	0.0476	1.7485	-216.4864	顺义区	0.0849	0.1552	0.0787	1.2615	1329.5240
朝阳区	0.2262	0.1791	0.2464	1.4559	8728.7908	昌平区	0.0506	0.0269	0.0519	1.8259	7097.4581
丰台区	0.1203	0.1701	0.1161	1.3685	14994.0000	大兴区	0.1294	0.2000	0.1065	0.8515	-1139.0069
石景山区	0.0166	0.0090	0.0172	1.5007	1507.4304	怀柔区	0.0198	0.0119	0.0205	0.8920	-218.2477
海淀区	0.1292	0.0687	0.1353	1.7661	12279.4097	平谷区	0.0142	0.0179	0.0139	1.0426	101.6286
门头沟区	0.0063	0.0179	0.0056	1.4671	564.8173	密云县	0.0145	0.0090	0.0149	0.9069	-241.8358
房山区	0.0229	0.0239	0.0228	1.2129	929.0580	延庆县	0.0089	0.0090	0.0089	0.9981	-3.2521

Location characteristics and differentiation mechanism of logistics industry based on points of interest:A case study of Beijing

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