اتناسادات مهاجری

The purpose of this research is to design and validate a gamification program to improve sustainable behavior based on the community-based social marketing approach (CBSM) and to investigate its effectiveness on electricity consumption. First, the gamification program was designed to modify the electricity consumption behavior of household subscribers based on CBSM. According to the stage model of behavior change, behavior modification strategies were divided into four stages. Validation was done based on the opinion of ten experts. The second stage was a single case with an interrupted time series design. The statistical population was household subscribers of electricity in Tehran and the sample was three families, which were selected in an available manner. Electricity consumption data were collected monthly. The baseline was from June ۲۰۱۶ to March ۲۰۲۱, the intervention was from April ۲۰۲۱ to December ۲۰۲۱, and the follow-up was from January ۲۰۲۲ to June ۲۰۲۳. The per capita electricity consumption of household electricity customers in Tehran in the same time periods was used as control in the analysis. The effect size was calculated by the "mean baseline reduction" method. The overall analysis of time series data and the significance of changes was done with the interrupted time series analysis method and autoregressive integrated moving average (ARIMA) model in    ۲۶ software. CVR and CVI indices were above ۰.۹, which indicate the validity of the program. The calculation of the effect size indicated a decrease in the consumption of families one and two after the start of the intervention, and most of the decrease in consumption is related to the follow-up phase. The continuation of lower consumption in the follow-up period indicated the relative continuation of new habits. Family three and household subscribers of electricity in Tehran city had a slight increase in consumption. In the visual analysis, only in the time series of family ۱, a decreasing trend was seen after the implementation of the intervention. All time series had a pattern of seasonal changes. These seasonal changes were controlled with the ARIMA model and the data of Tehran electricity subscribers. Based on the interrupted time series analysis, only the decrease in the consumption of family ۱, which was a high-consumption joint, was significant (P<۰.۰۵). This family has reduced consumption by about ۵۰%. It can be said that the program has validity. Further study of its effectiveness is recommended considering the limitations of this research, especially in high-consumption households that are in the pre-operation stage.