Urban sprawl prediction using ca-markov model: A case study of Melaka River basin, Malaysia

Hua,, Ang Kean and Paran Gani (2023) Urban sprawl prediction using ca-markov model: A case study of Melaka River basin, Malaysia. Applied Ecology and Environmental Research, 21. pp. 157-171. ISSN 1589 1623 (P-ISSN) ,1785 0037 (E-ISSN)

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Abstract

Population settlements lead to fast growing urban area throughout worldwide which is required to be monitored to maintain sustainability. Considering Remote Sensing (RS) and Geographic Information System (GIS) techniques in Melaka River basin, Malaysia, both methods are effective to monitor and to support decision-making in urban planning. Land Use Land Cover (LULC) was effectively used to study the urban sprawl, apart from that Cellular Automata-Markov (CA-Markov) chain model was applied to predict the urban scenarios for sustainable growth. The results clearly suggested that major land use changes are built-up area and water bodies. Only vegetation classes decreased in land use. The kappa statistic for 1990, 2000, and 2010 are 0.88, 0.87, and 0.90, respectively. Meanwhile, the validation assessment of k-statistic is 0.9, which resulted the model is valid to predict the future land use. Modeling stated that land use classes trend and pattern is transformed especially due to the urban built up area expansion. As conclusion, RS and GIS techniques provide effective support tools in decision making for policy makers in designing more sustainable urban habitats.

Item Type:	Article
Keyword:	Urban sprawl , LULC , CA-Markov chain model , Urbanization , Sustainable urban habitat
Subjects:	H Social Sciences > HC Economic history and conditions > HC10-1085 Economic history and conditions H Social Sciences > HT Communities. Classes. Races > HT51-1595 Communities. Classes. Races > HT101-395 Urban groups. The city. Urban sociology
Department:	FACULTY > Faculty of Social Sciences and Humanities
Depositing User:	DG MASNIAH AHMAD -
Date Deposited:	23 Feb 2023 16:00
Last Modified:	23 Feb 2023 16:00
URI:	https://eprints.ums.edu.my/id/eprint/35109

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