Assessing Urban and Environmental Sustainability through Smart Urban Growth Case Study: Julfa City

Due to the advancement of technology and facilities at the city level in recent years, large populations of people around the world have been moving towards urban life. It is estimated that by 2030, more than 60% of the world's population will have been living in an urban geographical location, so protecting the environment for sustainability in order to rapidly increase the world's urban population requires extensive knowledge of smart city initiatives. However, nowadays, city stakeholders, decision makers, planners and developers face insufficient information on the dimensions of a smart city to achieve a sustainable urban environment. The purpose of this study is to measure the acceptance of smart city as a solution to achieve urban and environmental sustainability in Julfa. The research method is descriptive-analytical and is applied in terms of purpose. The sample size is 25 IT specialists, city managers and professors of Julfa city. Cronbach's alpha and hybrid alpha were used for reliability of the questions. Structural equations were used to analyze the data using SPSS and Smart PLS software. Findings show that intelligent life has the strongest effect with a path coefficient of 0.659 (0.433), followed by intelligent environment 0.439 (0.193), intelligent mobility 0.346 (119/11). 0), smart government 0.273 (0.740), smart people 0.240 (0.058), and finally smart economy with a path coefficient of 0.189 (0.036). The results of the analyzed survey data also confirm that the identified dimensions of the smart city can be implemented to facilitate the acceptance of the smart city in Jolfa and can lead to improved urban and environmental sustainability in Jolfa.