Volume 7 Number 3 (Mar. 2012)
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JCP 2012 Vol.7(3): 792-797 ISSN: 1796-203X
doi: 10.4304/jcp.7.3.792-797

Modeling and Planning on Urban Logistics Park Location Selection Based on the Artificial Neural Network

Lijuan Huang
Information Management College of Jiangxi University of Finance and Economics, Nanchang, 330013, China
Abstract—Nowadays China has been soaked in the craze of planning and construct urban logistics park, and almost all developed countries all regard the urban logistics park’s construction as a major motivation to the national economic. It is vital that the scientific planning of urban logistics park will ensure China’s rapid development. However, too many inappropriate or unscientific planning and construction under the guidance of Government have brought giant economic loss to China. How to plan and design the urban logistics park scientifically, It is a hot topic of research being widely discussed not only by Governments but also enterprisers and scholars home and abroad. This paper begins with exploratory research for modeling and planning on the urban logistics park location selection based on the BP Artificial Neural Network (BP ANN). This paper divides into 3 sections: the first to mainly introduce the history of urban logistics park development and the significance of modelling and planning urban logistics park ,the second to analyze basic principle of the BP ANN, the third to simulate and plan the location selection of urban logistics park based on the BP ANN model. The urban logistics park’s location selection planning is a complicated and dynamical system engineering with a lot of black box problems, which can’t be resloved by System Dynamics, Expert System and traditional mathematical methods (e.g. Operations Research, Statistics), and BP ANN model has seldom been applied to plan urban logistics park in China. So, the research in this paper is an innovation.

Index Terms—Urban logistics park, neural network, planning, location selection.

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Cite: Lijuan Huang, "Modeling and Planning on Urban Logistics Park Location Selection Based on the Artificial Neural Network," Journal of Computers vol. 7, no. 3, pp. 792-797, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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