UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

The Choice of Actor Variables in Agent-Based Cellular Automata Modelling Using Survey Data

Searle, G; Wang, S; Batty, M; Liu, Y; (2022) The Choice of Actor Variables in Agent-Based Cellular Automata Modelling Using Survey Data. Geographies , 2 (1) pp. 145-160. 10.3390/geographies2010010. Green open access

[thumbnail of Batty_The Choice of Actor Variables in Agent-Based Cellular Automata Modelling Using Survey Data_VoR.pdf]
Preview
PDF
Batty_The Choice of Actor Variables in Agent-Based Cellular Automata Modelling Using Survey Data_VoR.pdf - Published Version

Download (804kB) | Preview

Abstract

This paper considers whether existing approaches for quantifying variables in cellular automata (CA) modelling adequately incorporate all the relevant factors in typical actor decisions underpinning urban development. A survey of developers and planners is used to identify factors they incorporate to allow for or proceed with development, using South East Queensland as a reference region. Three types of decision factors are identified and ranked in order of importance: those that are already modelled in CA applications; those that are not modelled but are quantifiable; and those that are not (easily) quantifiable because they are subjective in nature. Factors identified in the second category include development height/scale, open space supply, and existing infrastructure capacity. Factors identified in the third category include political intent, community opposition, and lifestyle quality. Drawing on our analysis of these factors we suggest how and to what extent survey data might be used to address the challenges of incorporating actor variables into the CA modelling of urban change. The paper represents the first attempt to review what decision factors should be included in CA modelling, and how this might be enabled.

Type: Article
Title: The Choice of Actor Variables in Agent-Based Cellular Automata Modelling Using Survey Data
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/geographies2010010
Publisher version: http://dx.doi.org/10.3390/geographies2010010
Language: English
Additional information: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: agent based modelling; cellular automata; actor variable; urban simulation; survey data
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10186332
Downloads since deposit
333Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item