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Cost estimation for solid waste management in industrialising regions--precedents, problems and prospects
Shantha R Parthan1, Mark W Milke, David C Wilson
1Department of Civil and Natural Resources Engineering, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand. shantha.parthan@pg.canterbury.ac.nz
Cost planning for solid waste management (SWM) in industrialising regions (IR) is crucial but often overlooked. Adapting existing cost estimation models can address data challenges and budget limitations in IR.
Area of Science:
- Environmental Science
- Environmental Management
- Waste Management
Background:
- Cost planning for solid waste management (SWM) is often undervalued in industrialising regions (IR).
- Existing cost estimation methods for SWM include unit cost, benchmarking, and cost modeling.
- Industrialised countries utilize advanced cost models, while IR primarily rely on simpler methods.
Purpose of the Study:
- To highlight the importance of cost planning in SWM for industrialising regions.
- To review existing SWM cost estimation approaches and their applicability to IR.
- To identify challenges and propose modifications for SWM cost estimation in IR.
Main Methods:
- Literature review of SWM cost estimation techniques.
- Analysis of the applicability of unit cost, benchmarking, and cost modeling in IR.
- Identification of data availability and quality issues in IR for SWM cost estimation.
Main Results:
- Industrialising regions predominantly use unit cost and benchmarking methods for SWM cost estimation.
- Advanced cost models are underutilized in IR despite their potential benefits.
- Lack of cost data and poor data quality are significant barriers in IR.
Conclusions:
- Existing SWM cost estimation methods can be adapted for industrialising regions.
- Addressing data challenges is critical for effective SWM cost planning in IR.
- Improved cost planning offers practical benefits for managing critical waste problems with limited budgets in IR.
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