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Sewerage infrastructure asset management based on a consumer-centric approach
Hanseul Jo1, Jaena Ryu2, Jungwoo Shin3
1Department of Big Data Analytics, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi, 17104, South Korea.
This study defines optimal public sewerage service levels by analyzing user expectations and flood damage complaints. Residents are willing to pay 25% of their sewage bill for improvements, prioritizing early-stage, cost-effective solutions.
Area of Science:
- Environmental Engineering
- Urban Planning
- Public Policy
Background:
- Public infrastructure asset management is crucial in developed nations.
- Sewerage systems present significant management challenges due to undefined service levels and user satisfaction gaps.
- Increasing global flood damage necessitates improved inland flood management strategies.
Purpose of the Study:
- To determine the target level of service improvement for sewerage systems.
- To integrate consumer expectations with actual complaint data for better management.
- To inform public policy regarding infrastructure investment and flood risk mitigation.
Main Methods:
- Analysis of consumer willingness to pay using the contingent valuation method.
- Utilizing flood damage complaint data as a proxy for service failure frequency.
- Case study focusing on an inland flood management project in South Korea.
Main Results:
- Consumers indicated a willingness to allocate 25% of their current monthly sewage bill towards management projects.
- A preference was identified for addressing issues in early stages when costs are lower.
- Complaint data correlated with the frequency and impact of flood damage.
Conclusions:
- Combining user expectations and complaint data provides a viable method for setting service improvement targets.
- Cost-effective, proactive infrastructure management is preferred by the public.
- Findings support evidence-based investment in public sewerage and flood management systems.
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