The Application of Case-based Reasoning in Development Control

Anthony Yeh and Xun Shi
Additional contact information
Anthony Yeh: The Univesity of Hong Kong
Xun Shi: Department of GeographyUniversity of Wisconsin

Chapter 13 in Planning Support Systems in Practice, 2003, pp 223-248 from Springer

Abstract: 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.

Keywords: Expert System; Urban Planning; Planning Department; Development Control; Town Planning (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-540-24795-1_13

Ordering information: This item can be ordered from
http://www.springer.com/9783540247951

DOI: 10.1007/978-3-540-24795-1_13

Access Statistics for this chapter

More chapters in Advances in Spatial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().