| Abstrakt: |
The concept of a smart city involves utilizing information and communication technology to improve the livability and sustainability of urban areas and unique locations, thereby promoting innovation and entrepreneurship. The extensive use of digital sensors and control systems for managing urban infrastructure has led to the development of various applications with the Internet of Things (IoT) playing a crucial role in enabling new services and enhancing interaction levels. As this technology continues to progress, it holds the potential to transform every aspect of human life. This research aimed to conduct a spatial analysis of smart city indicators, particularly those related to the IoT across 13 regions of Mashhad metropolis. This study took an applied approach with a descriptive-analytical nature by utilizing both documentary (library) and field (questionnaire) data collection methods. The sample consisted of residents from 13 regions within Mashhad metropolis with a sample size of 171 questionnaires determined based on the 2016 population of 3,062,242. The questionnaires were distributed proportionately across each region. The data analysis was conducted by using SPSS software and decision-making methods, such as MEREC and COCOSO. Furthermore, the structural equation modeling approach (Smart PLS) was employed for a comprehensive analysis. The research findings indicated that Regions 9, 1, and 4 showed the highest levels of smart city indicators based on IoT in Mashhad, while Regions 3, 12, and 10 exhibited the lowest levels. According to the results of the PLS structural equation modeling test, the variable of smart governance showed the highest overall impact coefficient (1.523) on the IoT-based smart city followed by smart economy (1.256), smart citizen (0.895), smart environment (0.687), smart mobility (0.622), and smart living (0.160). [ABSTRACT FROM AUTHOR] |
