Modelling the spatial dynamics of urban growth and land use changes in the north coast of São Paulo, Brazil. (May 2015)

• Record Type: Journal Article
• Authors: Inouye, Carlos Eduardo Nakao; de Sousa, Wilson Cabral; de Freitas, Débora M.; Simões, Eliane
• Is Part Of: Ocean & coastal management. Volume 108(2015)
• Page Start: 147
• Page End: 157
• Publication Date: 2015-05
• Subjects: Coastal settlements -- Vulnerability -- Climate change -- Cellular automata-based modelling; Marine resources -- Management -- Periodicals; Coastal zone management -- Periodicals; Coastal ecology -- Periodicals; Ressources marines -- Périodiques; Littoral -- Aménagement -- Périodiques; Écologie littorale -- Périodiques; Coastal ecology; Coastal zone management; Marine resources -- Management; Periodicals; Electronic journals; 551.46
• DOI: 10.1016/j.ocecoaman.2014.12.016
• Languages: English
• ISSNs: 0964-5691

Abstract

Abstract: Spatial modelling is a resourceful approach largely used in land use planning and occupation dynamics. The use of land change and urban growth simulations are indispensable for supporting the development and implementation of urban planning policies. This paper develops potential scenarios of land use change (status-quo and law enforcement) and urban occupation in the north coast of São Paulo using spatial dynamics modelling. Cellular automata-based modelling and EGO Dynamic simulations were used to produce past and future scenarios of land use occupation and growth expansion. These scenarios are compared between them and with vulnerability maps to identify areas at risk. The outcomes show that the north coast of São Paulo is highly vulnerable to expansion of irregular occupations when regulations are not enforced. Forest areas are the first areas to be suppressed by an unsystematic urban development. The extent to which people are exposed to environmental and climatic changes is influenced by urban infrastructure developments and decision making regulations. Findings of this work can guide future planning decisions on such as the revision of the ecological-economic zoning and local land use plans. Highlights: We develop land change scenarios of urban expansion using spatial dynamics modelling. Our model shows that forests are the first to be suppressed by urban growth. The occupation pattern has induced urban sprawl to the most vulnerable areas. Vulnerability to urban expansion increases when regulations are not enforced. High risk areas are extremely susceptible to environmental shifts.