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The Application of Case-based Reasoning in Development Control

In: Planning Support Systems in Practice

Author

Listed:
  • Anthony Yeh

    (The Univesity of Hong Kong)

  • Xun Shi

    (Department of GeographyUniversity of Wisconsin)

Abstract

Case-based reasoning (CBR) is a type of knowledge-based system (KBS) whose philosophy is to use previous cases to interpret or solve a new problem. There are many advantages of CBR over rule-based reasoning, the method that is adopted by most current KBS for development control. The knowledge representation scheme of CBR is better than rule-based reasoning in recording and representing knowledge that is hard to express with explicit rules or is too case-specific. It can overcome the black box inference process of rule-based reasoning. CBR can simulate the present working style of a planner in dealing with development applications that are based on his/her knowledge of past application records. The results derived directly from real cases in CBR are more convincing and acceptable to planners. A system that integrates a CBR shell (ESTEEM) and GIS package (ArcView) was developed to demonstrate the process in building a case-based system (CBS) to assist planners in the Planning Department of Hong Kong in handling planning applications in development control. Because it is case-based and not rule-based, the system is also applicable to other cities in dealing with development applications.

Suggested Citation

  • Anthony Yeh & Xun Shi, 2003. "The Application of Case-based Reasoning in Development Control," Advances in Spatial Science, in: Stan Geertman & John Stillwell (ed.), Planning Support Systems in Practice, chapter 13, pages 223-248, Springer.
    • Handle: RePEc:spr:adspcp:978-3-540-24795-1_13
    DOI: 10.1007/978-3-540-24795-1_13
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