Publication Type
Book Chapter
Version
publishedVersion
Publication Date
1-2006
Abstract
In this chapter, transition rules used in urban CA models are reviewed and classified into two categories: transition potential rules and conflict resolution rules. Then, four widely used rule elicitation methods: Regression analysis, Artificial Neural network (ANN), Visual calibration, and Analytical Hierarchy Processing – Multi Criteria Evaluation (AHP-MCE) are discussed. Most of these methods are data driven methods and can be used to elicit the transition potential rules in the urban CA models. In the following, three possible rule elicitation methods: Interview, Document analysis, and Card sorting are explained and demonstrated. These three methods are driven by knowledge and can be used to elicit conflict resolution rules as well as transition potential rules in urban CA models.
Discipline
Artificial Intelligence and Robotics | Computer Sciences
Research Areas
Integrative Research Areas
Publication
Innovations in design & decision support systems in architecture and urban planning
Editor
LEEUWEN, Jos P.; TIMMERMANS, Harry J. P.
First Page
53
Last Page
68
ISBN
9781402050596
Identifier
10.1007/978-1-4020-5060-2_4
Publisher
Springer Nature
Citation
JIAO, Junfeng and BOERBOOM, Luc.
Transition rule elicitation methods for urban cellular automata models. (2006). Innovations in design & decision support systems in architecture and urban planning. 53-68.
Available at: https://ink.library.smu.edu.sg/cis_research/541
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007%2F978-1-4020-5060-2_4