Research on Site Selection of Datong Railway Logistics Park based on SE-DEA Model

DOI

10.2991/ssmi-19.2019.30How to use a DOI?

Keywords

site selection; SE-DEA model; logistics park; railway; intermodal.

Abstract

In order to actively integrate into The Belt and Road Initiative and promote the integrated development of basin cities in central Shanxi, the Shanxi provincial government and the Taiyuan Railway Bureau proposed to build several comprehensive logistics parks. As one of the three regional logistics parks planned by Taiyuan Railway Bureau, the site selection of Datong railway logistics park need to be carried out urgently. At the same time, it is widely known that railway transportation is an important mode of transportation in the intermodal transport, and the site selection and construction of railway logistics park is also the key to promote the development of intermodal transport in China. For the above problems, this paper systematically combs and summarizes the factors of railway logistics park site selection and constructs the evaluation index system of railway logistics park location selection, including condition of market demand, station operation, station traffic and planning prospect. Through site survey, 11 existing railway freight stations in Datong city are selected as optional points. The super-efficiency DEA model and the evaluation index system of site selection are used to calculate the scheme. Finally, the scheme shows that Zhoushizhuang Station with the highest comprehensive efficiency value is the location of Datong Railway Logistics Park.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xin Li
AU  - Maoxiang Lang
AU  - Xiaodong Zhang
AU  - Pei Wang
AU  - Qinghui Yi
PY  - 2019/12
DA  - 2019/12
TI  - Research on Site Selection of Datong Railway Logistics Park based on SE-DEA Model
BT  - Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
PB  - Atlantis Press
SP  - 39
EP  - 43
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssmi-19.2019.30
DO  - 10.2991/ssmi-19.2019.30
ID  - Li2019/12
ER  -