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Predicting Sanitation Behaviors: Comparison of Willingness to Pay Techniques for Sanitation Services in Urban Dhaka, Bangladesh
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DOI：10.1177/11786302261437530.png)
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Abstract
En 中文
Improving urban sanitation requires understanding user preferences and willingness to pay (WTP) for sewer connections. This study evaluates WTP for sanitation attributes in low-income communities (LICs) of Dhaka, Bangladesh, comparing contingent valuation (CVM) and hedonic pricing (HPM) methods. A cross-sectional study was conducted in five LICs, surveying 1,000 households and conducting spot checks of toilet facilities. WTP was analyzed using logistic regression models for CVM and generalized linear models (GLM) for HPM, adjusting for socioeconomic factors and cluster-level correlations. From the CVM analysis we found that, higher-income individuals showed greater WTP for sewerage but were sensitive to cost increases, especially tenants. Over 90% of respondents expressed WTP, influenced by neighbor participation and perceived health benefits. From HPM analysis we found that, rental values were significantly influenced by household size, roof materials, and toilet attributes. Each additional room increased WTP by 1,452.16 units (p<0.001). Households in Dholpur (-1,013.95 units, p<0.001) and Mohajer Colony (-743.62 units, p<0.001) had lower WTP. Improved toilet features, such as concrete pan materials (+687.47 units, p<0.001) and outside locks (+255.09 units, p<0.001), significantly increased WTP. Findings highlight that socioeconomic factors influence WTP, emphasizing the need for data-driven urban sanitation policies. Policymakers should integrate these insights to design affordable, inclusive, and sustainable sanitation interventions for LICs.
Keywords:
urban WASH
sewer
behavioral economics
contingent valuation
hedonic pricing model
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