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This paper evaluates the performance of baseline and domain-augmented ChatGPT models for literature-based knowledge support in flood susceptibility mapping (FSM) using machine Learning approaches. To assess this, we designed five key questions related to FSM, with benchmark responses derived from our comprehensive review article (Pourzangbar et al., Journal of Flood Risk Management 18, e70042),…
This article presents the first analysis in the literature that measures the economic benefit of drop-off recycling in terms of consumer surplus (CS). CS, a measure of the economic benefit that consumers receive from participating in economic activities, is estimated using a single-site travel cost method application based on survey data. Our findings indicate that the total CS residents of Mon…