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A decision support model for waste management in support of developing low carbon, eco region : case studies of densely populated kampung setllements in urban areas in Jakarta
Citation Link: https://doi.org/10.15480/882.1195
Other Titles
Ein Entscheidungs-Hilfe-Modell für Abfallmanagement zur Förderung der Entwicklung von kohlenstoffarmen Ökoregionen : Fallstudien über dicht bevölkerte Kampung-Siedlungen in städtischen Gebieten in Jakarta
Publikationstyp
Doctoral Thesis
Publikationsdatum
2014
Sprache
English
Author
Advisor
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2013-06-14
Due to the various types of waste disposal, treatment, utilization and technologies, decision support model for waste management is needed to assist planners and decision makers in finding most suitable way to manage municipal solid waste efficiently. Many planners and decision makers in the area of municipal solid waste have a lack of thorough understanding of the complex chains of waste management system. Therefore the impact for the environment quality and the public health can only be judged at the rudimentary level.
However, most existing models are primarily focusing on cost or environmental analysis. Only few consider other crucial factors such as the demographic condition, the characteristics of urban form and urban infrastructure, land transformation aspects due to urban development. Consequently, such models often meet difficulties to cope with cultural requirement.
Based on those reasons, a decision support model to set up alternatives of most appropriate technology for sustainable waste management towards a low carbon eco-city on a regional basis is developed in this PhD study. The Low Carbon- and Eco-Region, in particular the contribution of waste management sector, is a vision of living in low rate of carbon generation, using fewer natural resources, and encouraging energy recovery and/or waste reduction at source by improving the used material quality (up-cycling).
This decision support model is constructed mainly based on the cultural requirement and local context of a region and synergize the geographic, environmental, social capital and economics aspects in order to fulfill the needs of the respective region and its society. The method employed in this model is not solely a new developed model, but also an advanced model in material flow analysis (STAN), and life cycle assessment on solid waste system (EASEWASTE) and Geographic Information System (GIS). At the same time the model also assists the stakeholders in improving the environmental quality and the public health by promoting waste separation at source and reducing the greenhouse gas emission potential from waste sector.
However, most existing models are primarily focusing on cost or environmental analysis. Only few consider other crucial factors such as the demographic condition, the characteristics of urban form and urban infrastructure, land transformation aspects due to urban development. Consequently, such models often meet difficulties to cope with cultural requirement.
Based on those reasons, a decision support model to set up alternatives of most appropriate technology for sustainable waste management towards a low carbon eco-city on a regional basis is developed in this PhD study. The Low Carbon- and Eco-Region, in particular the contribution of waste management sector, is a vision of living in low rate of carbon generation, using fewer natural resources, and encouraging energy recovery and/or waste reduction at source by improving the used material quality (up-cycling).
This decision support model is constructed mainly based on the cultural requirement and local context of a region and synergize the geographic, environmental, social capital and economics aspects in order to fulfill the needs of the respective region and its society. The method employed in this model is not solely a new developed model, but also an advanced model in material flow analysis (STAN), and life cycle assessment on solid waste system (EASEWASTE) and Geographic Information System (GIS). At the same time the model also assists the stakeholders in improving the environmental quality and the public health by promoting waste separation at source and reducing the greenhouse gas emission potential from waste sector.
Schlagworte
Entscheidungshilfe-Modell
Geografischen Informationssystem (GIS)
Treibhausgasemissionen
Soziale Aspekte
Abfallsektor
decision support model
geographic Information System (GIS)
greenhouse gas emission
social aspect
waste sector
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