Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

 

Model of Slum Area Management Based on Socio-Spatial Approach. The Case of Baubau City, Indonesia

Dian Purnamasari ZAIN1, Darmawan SALMAN2, Sumbangan BAJA2
1 Regional Development Planning Agency of Baubau Local Government, Baubau, INDONESIA
2 Hasanuddin University, Graduate School of Regional Development Planning, Makassar, INDONESIA

E-mail:
dian.purnamasariz@gmail.com, darsalman1963@gmail.com, sbja02@yahoo.com.au
Pages:
103-115

Abstract. The socio-spatial approach is one of alternatives in urban spatial planning studies which can be applied to discover the causes of slum settlement problems. Various slum upgrading projects have been implemented to improve the living conditions of slum dwellers. Although many previous studies have highlighted the social, economic and physical condition of slum areas, this study examines slum management in small towns from a socio-spatial perspective because there is a reciprocal interaction between social formations and spatial formations which can be measured quantitatively. It aims to analyse and develop slum settlement management model based on socio-spatial characteristics of slum settlements in Baubau City on the riverbanks, in the coastal areas and the traditional kampong type using the Fuzzy-Multi Criteria Decision Making Method (F-MCDM) and Driver-Pressure-State-Impact-Response (DPSIR). Results showed that the slum management process should be prioritized, according to the following order of significance: slums located on riverbanks as first priority, slums in the coastal areas as second priority and the traditional kampong areas as third priority.These mixed methods are practically used for developing a slum management model and can be applied directly in the formulation of government policies. This research reveals a comprehensive policy recommendation for slum management planning for each different type, according to its socio-spatial characteristics.

K e y w o r d s:  spatial planning, slum, socio-spatial, fuzzy MCDM, DPSIR, Indonesia