Journal of Geographical Sciences >
Location characteristics and differentiation mechanism of logistics nodes and logistics enterprises based on points of interest (POI): A case study of Beijing
Author: Li Guoqi (1984-), PhD, specialized in geography of logistics and spatial analysis. E-mail: guoqi@swjtu.edu.cn
*Corresponding author: Jin Fengjun (1961-), PhD and Professor, E-mail: jinfj@igsnrr.ac.cn
Received date: 2016-12-21
Accepted date: 2017-02-10
Online published: 2017-07-10
Supported by
National Natural Science Foundation of China, No.41501123, No.71703219
Copyright
The logistics nodes and logistics enterprises are the core carriers and organizational subjects of the logistics space, and their location characteristics and differentiation strategies are of key importance to optimizing urban logistics spatial patterns and ensuring reasonable resource allocation. Based on Tencent Online Maps Platform from December 2014, 4396 logistics points of interest (POI) were collected in Beijing, China. By 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, supply-demand side 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 weak 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. The locational differentiation between the two modes of logistics space is significant. (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.
LI Guoqi , JIN Fengjun , CHEN Yu , JIAO Jinjuan , LIU Sijing . Location characteristics and differentiation mechanism of logistics nodes and logistics enterprises based on points of interest (POI): A case study of Beijing[J]. Journal of Geographical Sciences, 2017 , 27(7) : 879 -896 . DOI: 10.1007/s11442-017-1411-7
Table 1 Classification and coding of research samples |
Class | Category | Subcategory (Coding) |
---|---|---|
Logistics nodes (LN) | Logistics parks/bases | Government-planned (010), Enterprise self-built (011) |
Logistics centers | Government-planned (020), Enterprise self-built (021) | |
Distribution centers | Unclassified (040) | |
Freight stations | Railway freight station (031), Highway freight station (032), Water transport depot (033), Air cargo terminal (034) | |
Logistics enterprises (LE) | Express and postal services | Express enterprises and service points (110), Postal enterprises and service points (111) |
Storage and transportation | Transportation and distribution (120), Storage (130) | |
Freight forwarders | Unclassified (140) | |
Comprehensive logistics | Unclassified (150) | |
Others | Unclassified (160) | |
Logistics related facilities (LF) | Customs-bonded facilities | Special area or warehouse for intendance by customhouse (050) |
Transportation terminals | Airport (060), Port (070) | |
Industrial parks | Unclassified (080) | |
Professional markets | Unclassified (090) |
Figure 1 Spatial distribution of the POIs by type |
Figure 2 Research framework |
Table 2 Evaluation of the degrees of concentration of the logistics industry in Beijing |
LN+LE | LN | LE | LQ | HCLQ | |
---|---|---|---|---|---|
Dongcheng District | 0.0478 | 0.0090 | 0.0524 | 1.6977 | 160.0302 |
Xicheng District | 0.0469 | 0.0119 | 0.0476 | 1.7485 | -216.4864 |
Chaoyang District | 0.2262 | 0.1791 | 0.2464 | 1.4559 | 8728.7908 |
Fengtai District | 0.1203 | 0.1701 | 0.1161 | 1.3685 | 14994.0000 |
Shijingshan District | 0.0166 | 0.0090 | 0.0172 | 1.5007 | 1507.4304 |
Haidian District | 0.1292 | 0.0687 | 0.1353 | 1.7661 | 12279.4097 |
Mentougou District | 0.0063 | 0.0179 | 0.0056 | 1.4671 | 564.8173 |
Fangshan District | 0.0229 | 0.0239 | 0.0228 | 1.2129 | 929.0580 |
Tongzhou District | 0.0616 | 0.0806 | 0.0615 | 1.0628 | 425.0280 |
Shunyi District | 0.0849 | 0.1552 | 0.0787 | 1.2615 | 1329.5240 |
Changping District | 0.0506 | 0.0269 | 0.0519 | 1.8259 | 7097.4581 |
Daxing District | 0.1294 | 0.2000 | 0.1065 | 0.8515 | -1139.0069 |
Huairou District | 0.0198 | 0.0119 | 0.0205 | 0.8920 | -218.2477 |
Pinggu District | 0.0142 | 0.0179 | 0.0139 | 1.0426 | 101.6286 |
Miyun County | 0.0145 | 0.0090 | 0.0149 | 0.9069 | -241.8358 |
Yanqing County | 0.0089 | 0.0090 | 0.0089 | 0.9981 | -3.2521 |
Figure 3 Spatial distribution of different types of logistics based on kernel density analysis |
Figure 4 Average distance from different types of logistics nodes and enterprises to the center |
Figure 5 Distance/frequency distribution for all types of nodes and enterprises |
Figure 6 Cumulative distribution of logistics POI at freight stations |
Figure 9 Density distribution of logistics POI around highway and railway freight stations |
Figure 7 Distribution of logistics node and logistics enterprise locations based on buffer zone analysis |
Figure 8 Cumulative distribution of logistics POI for industrial parks and professional markets |
Figure 10 Density distribution of logistics POI in industrial parks and professional markets |
Figure 11 Logistics spatial differentiation process based on “transportation, land rent and asset” |
The authors have declared that no competing interests exist.
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