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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 11
ARTIFICIAL INTELLIGENCE TOOLS AND TECHNIQUES FOR CIVIL AND STRUCTURAL ENGINEERS
Edited by: B.H.V. Topping
Paper III.1

Knowledge-Based Regulation Processing for Site Development

D.T. Shaw

Department of Civil Engineering, University of Illinois, Urbana, Illinois, USA

Full Bibliographic Reference for this paper
D.T. Shaw, "Knowledge-Based Regulation Processing for Site Development", in B.H.V. Topping, (Editor), "Artificial Intelligence Tools and Techniques for Civil and Structural Engineers", Civil-Comp Press, Edinburgh, UK, pp 57-63, 1989. doi:10.4203/ccp.11.3.1
Abstract
Municipal site development regulations heavily influence the layout and design of building sites, but paper based regulations are extremely inefficient for use in computer-aided design. This paper describes the conceptual design for SITE CODE, a knowledge-based model of a municipal site development code which was developed t o study how regulations can be incorporated into systems for computer-aided site design. SITE CODE was developed from studies of site development regulations in Austin, Texas, San Diego, California , and Fairfax County, Virginia in the United States. The primary function of SITE CODE is to extract from the code all design requirements which are applicable to a particular development project. An organizational system for regulations has been developed to facilitate retrieval of design requirements based on: ( 1 ) the geographic district or region in which a regulation is applicable, (2) the time period during which a regulation is effective, and (3) the administrative or legal process (zoning, land subdivision, or site plan review) with which a regulation is associated. SITE CODE consists of a hybrid rule-based/object-oriented representation of site development regulations called the regulatory knowledge base. An object-oriented requirements knowledge base containing project-specific design information extracted from the regulations is created dynamically during a session.

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