Use of agent based modelling to investigate the dynamics of slum growth

 

Show simple item record

dc.contributor.author Shoko, Moreblessings
dc.contributor.author Smit, Julian
dc.date.accessioned 2017-11-01T07:29:09Z
dc.date.available 2017-11-01T07:29:09Z
dc.date.issued 2013
dc.identifier.citation Shoko, Moreblessings; Smit, Julian. (2013). Use of agent based modelling to investigate the dynamics of slum growth, 2:54-67
dc.identifier.uri http://hdl.handle.net/11427/25966
dc.description.abstract Informal settlements arise as a result of the urgent need for shelter by the urban poor. Urban planners and policy makers face challenges in effective management of slum settlements as they do not fully understand their dynamics and extents. Advances in Geomatics research have recently offered growing results in slum characteristics using various remote sensing and artificial intelligence approaches. The main objective of this research is to propose a conceptual model for the implementation of an empirically informed agent based prototype that can simulate future patterns and trends in land cover change over time specifically with reference to informal settlement proliferation in the city of Cape Town in South Africa. The study incorporates physical, environmental, social and economic factors specific to Cape Town in structuring behavioural rules for agents in a predictive environment. Input data is extracted from a time series study of remote sensing imagery, ancillary data and statistics. The resulting concept model for the prototype incorporates a static model, a dynamic and an interactive behaviour model that collectively form a combo for successful implementation of the physical agent based model. On implementation the model is expected to simulate city wide slum growth patterns and trends in Cape Town over time, highlighting likely areas of new settlement and revealing the eventualities of existing ones. Urban planners can use pattern information for proactive slum management and in preventing risk prone settlement especially in some areas of near coast Cape that are flood prone.
dc.source South African Journal of Geomatics
dc.source.uri http://www.sajg.org.za/index.php/sajg/index
dc.title Use of agent based modelling to investigate the dynamics of slum growth
dc.type Journal Article
dc.date.updated 2017-10-31T08:01:06Z
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Engineering & the Built Environment
dc.publisher.department School of Architecture, Planning and Geomatics
uct.type.filetype Text
uct.type.filetype Image


Files in this item

This item appears in the following Collection(s)

Show simple item record