To prepare for the urban development of 2.5 billion people by 2050, the development of low-carbon, resilient, and liveable urban settlements is crucial. Not only do metropolises contribute to global climate change by rapidly emitting and increasing emissions but they themselves are very fragile and vulnerable to these changes. The purpose of this study is to optimize a model for the development of renewable energies in Tehran City and its application in different sectors to achieve sustainability. The research method is according to the type of the applied-developmental study. Information is based on documentation and field methods. Data were collected using a questionnaire from 76 experts and analysed using MICMAC software. The results indicate the fact that the use of public and specific stimuli and incentives for electricity producers to use renewable energy will accelerate the development of renewable energy at the urban level. In order to improve the existing situation, the unsustainable model can be offered to change the situation in favour of the use of new energy at the regional level. Based on the research results, in general, patterns of deployment and development of renewable energies are grouped into five main groups: the use of financial instruments, the use of legal instruments, the development of technology, education and awareness-raising that urban sustainability in the energy sector can be considered based on these four pillars.

Quality of life is a concept used to describe the development of the welfare of society, and improving the quality of life is one of the most important goals of governments around the world. Informal settlements, as one of the most vulnerable urban areas, are always in unfavorable conditions in terms of various social, economic, and physical indicators. Therefore, the main purpose of this study is to investigate the status of various quality of life indicators in informal settlements around the metropolis of Tehran in Iran. This research is descriptive, analytical, and correlational based on primary data in which the initial data are collected through the documentary and survey (field) method using a questionnaire. The collected data were processed by SPSS and SmartPLS software. Based on the results of the t-test, quality of life indices in informal settlements around the metropolis of Tehran, on a Likert scale with an average of 23.2, is at a low level. Also, the results of the PSL path modelling and multivariate regression test show that increasing the quality of social, economic, physical, service, and access indicators, in terms of residents, has the greatest impact on improving the quality of life of this urban fabric and security index. It has the least impact. There is also a significant relationship between indicators, and the mental perspective of citizens changes under social, service, economic, and physical conditions.