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Analysis on Spatial-Temporal Distribution Evolution Characteristics of Regional Cold Chain Logistics Facilities: A Case Study of BJE

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LISS 2021

Part of the book series: Lecture Notes in Operations Research ((LNOR))

Abstract

Based on the data of cold chain logistics enterprises and facilities during the period 2010–2019 as the spatial location, this paper takes BJE city as an example and applies SDE (Standard Deviational Ellipse) and KDE (Kernel Density Estimation)to study the distribution and evolution characteristics of cold chain logistics facilities. The results show: (1) Spatial-temporal distribution of cold chain logistics facilities in BJE city has both agglomeration and diffusion evolution characteristics. (2) The agglomeration forms the spatial characteristics from “single center” to “multi-center”. (3) The diffusion characteristics present three forms: the non-equilibrium characteristics of the diffusion form, the suburbanization characteristics of the diffusion orientation, and the relative characteristics of the diffusion distance.

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References

  1. Tang, J.R., Zhang, X.H.: Research on the spatial-temporal evolution, driving factors and Spillover effects of the development of the logistics industry—a spatial econometric analysis based on China’s provincial panel data. Finan. Trade Res. 28(5), 11–21 (2017)

    Google Scholar 

  2. Liu, H., Li, Y.F., Tian, L.N.: Analysis of regional logistics network structure based on time-space evolution model—taking Yunnan province as an example. Logistics Eng. Manage. 34(12), 33–35 (2012)

    Google Scholar 

  3. Hao, F.L., Wang, S.J., Feng, Z.X., Yu, T.T., Ma, L.: Commercial spatial pattern and industry distribution in Changchun city based on POI data. Geograph. Res. 37(2), 366–378 (2018)

    Google Scholar 

  4. Xu, D., Huang, Z.F., Lu, L.: Research on the spatial features of urban leisure tourism based on POI mining—taking Nanjing as an Example. Geograph. Geo-Inf. Sci. 34(1), 59–64+70+3 (2018)

    Google Scholar 

  5. Feser, E.: Clusters and the design of innovation policy for developing economices. In: Blien, U., Maier, G. (eds.) The economies of regional clusters: networks, technology and policy, Cheltenham. Edward Elgar (2008)

    Google Scholar 

  6. Delgado, M., Porter, M., Stem, S.: Clusters and entreprecurship. J. Econ. Geograph. 10, 495–518 (2010)

    Article  Google Scholar 

  7. Rivera, L., Sheffi, Y., Welsch, R.: Logistics agglomeration in the US. Transp. Res. Part A 59, 222–238 (2014)

    Google Scholar 

  8. Heuvel, F.P., Langen, P.W., Donselaar, K.H.: Spatial concentration and location dynamics in logistics: the case of a Dutch province. J. Transp. Geograph. 28, 39–48 (2013)

    Article  Google Scholar 

  9. Kayikci, Y.: A conceptual model for intermodal freight logistics centre location decisions. Procedia – Soc. Behav. Sci. 2(3), 6297–6311 (2010)

    Google Scholar 

  10. Eiichi, T., Michihiko, N., Tadashi, Y.: Optimal size and location planning of public logistics terminals. Transp. Res. Part E-logistics Transp. Rev. 35(3), 207–222 (1999)

    Article  Google Scholar 

  11. Liliana, R., Yossi, S., Desiree, K.: Logistics clusters: the impactof further agglomeration, training and firm size on collaboration and value added services. J. Prod. Econ. 179(9), 285–294 (2016)

    Google Scholar 

  12. Xu, X.L., Zheng, K.D., Zhang, X.X.: The spatiotemporal process of urban expansion in the Beijing-Tianjin-Hebei metropolitan area and its future scenario prediction. China Popul. Resour. Environ. 22(S2), 256–261 (2012)

    Google Scholar 

  13. Ann, V., Roselinde, K., Peter, G.: Location of logistics companies: a stated preference study to disentangle the impact of accessibility. J. Transp. Geogr. 42(1), 110–121 (2015)

    Google Scholar 

  14. Qiu, Y., Shi, X.L., Y.T.M, Zhou, S.: Spatio-temporal distribution features and revolutions of food cold chain logistics in Beijing city. Areal Res. Dev. 37(04), 32–36 (2018)

    Google Scholar 

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Authors and Affiliations

  1. School of Economics and Management, Beijing Jiaotong University, Beijing, China

    Qiuxia Zhang & Hanping Hou

Authors
  1. Qiuxia Zhang
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  2. Hanping Hou
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Corresponding author

Correspondence to Qiuxia Zhang .

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Editors and Affiliations

  1. Beijing Jiaotong University, Beijing, China

    Xianliang Shi

  2. Budapest University of Technology and Economics, Budapest, Hungary

    Gábor Bohács

  3. Beijing Jiaotong University, Beijing, China

    Yixuan Ma

  4. Beijing Jiaotong University, Beijing, China

    Daqing Gong

  5. Beijing Jiaotong University, Beijing, China

    Xiaopu Shang

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zhang, Q., Hou, H. (2022). Analysis on Spatial-Temporal Distribution Evolution Characteristics of Regional Cold Chain Logistics Facilities: A Case Study of BJE. In: Shi, X., Bohács, G., Ma, Y., Gong, D., Shang, X. (eds) LISS 2021. Lecture Notes in Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-16-8656-6_39

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