A Study on the Decision Support System for Industrial Spatial Distribution in Towns

  • Maoxun LiEmail author
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 126)


In this study, we develop a specific decision support system (DSS) which can be utilized to analyse and design the professional model of industrial spatial layout, system structure and detailed functions. Using spatial data as the information infrastructure, industrial spatial distribution models as the core, we further utilize the Visual Studio .Net, ArcGIS Engine and Access to construct the industrial spatial distribution DSS in small towns. The proposed system can provide solutions to the industrial layout data management, inquiries and analysis of the information processing techniques. It aims at providing spatial data analysis of industrial distribution, quantitative analysis of factors that affect the industrial development, factor weight determination, industry analysis unit optimization, and industrial spatial layout. abstract environment.


Towns Spatial DSS Industrial Spatial Distribution Visual Studio .Net 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Rodrguez-Clare, A.: Clusters and comparative advantage: Implications for industrial policy. Journal of Development Economics 82, 43–57 (2007)CrossRefGoogle Scholar
  2. 2.
    Lin, C., Tung, C., Huang, C.: Elucidating the industrial cluster effect from a system dynamics perspective. Technovation 26, 473–482 (2006)CrossRefGoogle Scholar
  3. 3.
    Arentze, T.A., Timmermans, H.J.P.: A spatial decision support system for retail plan generation and impact assessment. Transportation Research Part C: Emerging Technologies 8, 361–380 (2000)CrossRefGoogle Scholar
  4. 4.
    Yaakup, A., Joar, F., Maidin, M.A., Ezrein, F.: GIS and dicision support systems for Malaysian development plan studies. In: SPDSS 2004. Spatial Planning and Decision Support System, Kuala Lumpur, Malaysia (2004)Google Scholar
  5. 5.
    Ma, G.: The research of Zhuanghe industrial layout on the basis of the GIS. Liaoning Normal University (2005)Google Scholar
  6. 6.
    Du, G., Chen, X., Li, X.: Spatial optimalization decision making based on Particle Swarm Optimization. Acta Geographica Sinica 61, 1290–1298 (2006)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.College of Urban Economics and Public AdministrationCapital University of Economics and BusinessBeijingChina

Personalised recommendations