An OOHB-DC Survey for Estimating Willingness to Pay of Residual Consumers to Avoid Power Outage by Using PSO

In the face of insufficient energy production in power systems, load shedding in residential areas has become unavoidable. This study evaluates the willingness to pay (WTP) among households in Kerman, Iran, to prevent power outages. A survey of ۸۰۰ households was conducted in May ۲۰۲۱ using a one-and-one-half-bound dichotomous choice (OOHB-DC) approach, integrated with a spike model to address zero WTP responses. The questionnaire was designed to clearly communicate the study’s purpose, ensuring meaningful responses. Particle swarm optimization (PSO) was employed to estimate model parameters. Findings indicate that the average monthly WTP per household is ۹۲,۸۸۶ Rials (USD ۰.۳۷), with an annual aggregate value of ۹۷۲ billion Rials (USD ۳.۸۹ million). These results, which are statistically significant, suggest that substantial investments are needed by utility providers to maintain reliable power supply in residential areas.

کلیدواژه ها:

OOHB-DC Survey ، Particle Swarm Optimization ، Residual Consumers ، Willingness to Pay