Spatial Decision Support System for Urban Planning: Case Study of Harbin City in China

Urban land structure, layout, and land-use mode influence regional sustainable development greatly. However, planners usually cannot work perfectly because of insufficient environmental information for decision making. In recent years, with urban geographic information system (GIS) development many cities have already built up integrated urban information platform to support regional digitalization process. By using spatial data mining technology urban planning related knowledge can be discovered form GIS database to help planners and decision makers in their work. Through analyzing of Chinese cities’ construction mode and developing trend, this paper illustrates how to build up an urban planning spatial decision support system (UPSDSS) based on exploratory spatial data analysis technology support. By spatial data mining form GIS database, UPSDSS can provide related knowledge for urban planning decision making with inference engines (rule inference and case inference) support. As an important part of the ...

[1]  S.-Y. Han,et al.  Essas: expert system for site analysis and selection , 1989 .

[2]  J. Burch,et al.  Information systems: theory and practice (5th ed.) , 1989 .

[3]  R. Klosterman.  Planning Support Systems: A New Perspective on Computer-Aided Planning , 1997 .

[4]  Michael Batty,et al.  Planning support systems and the new logic of computation , 1995 .

[5]  Hjp Harry Timmermans,et al.  Matisse: a knowledge-based system for industrial site selection and evaluation , 2000 .

[6]  T. Arentze,et al.  An efficient search strategy for site-selection decisions in an expert-system , 2010 .

[7]  Dorothy E. Leidner,et al.  Knowledge management systems: emerging views and practices from the field , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[8]  P Klungboonkrong,et al.  A microcomputer-based- system for multicriteria environmental impacts evaluation of urban road networks , 1998 .

[9]  H. Kammeier.  A computer-aided strategic approach to decision making in urban planning: an exploratory case study in Thailand , 1998 .

[10]  Antony Unwin,et al.  SPIDER - an interactive statistical tool for the analysis of spatially distributed data , 1990, Int. J. Geogr. Inf. Sci..

[11]  L. Anselin.  Local Indicators of Spatial Association—LISA , 2010 .

[12]  René F. Reitsma,et al.  Functional Classification of Space: Aspects of Site Suitability Assessment in a Decision Support Environment , 1990 .

[13]  A. Getis.  The Analysis of Spatial Association by Use of Distance Statistics , 2010 .

[14]  Gregory Piatetsky-Shapiro,et al.  The KDD process for extracting useful knowledge from volumes of data , 1996, CACM.

[15]  A. Siebes,et al.  Data Mining and Statistics , 2000, Computational Intelligence in Data Mining.

[16]  Tschangho John Kim,et al.  Esman: An expert system for manufacturing site selection , 1988 .

[17]  I. Nonaka.  A Dynamic Theory of Organizational Knowledge Creation , 1994 .

[18]  Caron Chess,et al.  Information is not enough , 2007 .

[19]  Michael Batty,et al.  Modelling Inside GIS: Part 1. Model Structures, Exploratory Spatial Data Analysis and Aggregation , 1994, Int. J. Geogr. Inf. Sci..

[20]  J. Keith Ord,et al.  Spatial Processes Models and Applications , 1981 .