Identification, prioritization and analysis of household gas demand variables and presenting of the general Subsystem architecture model: A Metasynthesis Research

The main target of this of this research is to present the general architectural sub-system model of household's gas demand and to identify different variables affecting gas demand. The factors and variables identified from the subject literature have been analyzed using metasynthesize methodology and appropriate classification and prioritization has been done through content analysis. The statistical population in this research consists of scientific research articles published in reputable scientific databases and centers. Among the 127 articles found in the period from 1992 to 2022 for foreign studies and 1382 to 1401 for domestic studies, 53 articles were selected for analysis. The articles were import to the MAXQDA software and the variables in the form of 98 codes and 437 Coded Segments coding and 79 variables were identified. Then; using Shannon's entropy, the Priority and influence of each variable was determined. After analyzing and synthesis the variables, finally 10 subsystems were identified in the form of 49 variables. The results of the research show that the important variables affecting to natural gas demand are price, price elasticity, temperature, technical and technological factors, per capita income, social factors and consumption history. In order to manage gas demand in the household sector, all sub-systems should be considered by policymakers and balanced development between these sub-systems, otherwise the implemented policies will lose their effectiveness in the short time.