Dr Hafez Mahdnejad, Dr Hamid Bargi, Dr Alireza Gholami,
Volume 0, Issue 0 (3-1921)
Abstract
Today, the cities of the country are faced with a kind of duality and inequality. As urban inequality has become one of their spatial characteristics. Therefore, the purpose of the present study is to Zoning of spatial inequality neighborhoods of Isfahan metropolis based on economic indicators for better planning for organizing, empowering and enhancing their quality of life. This study is an applied one and its method is descriptive-analytical. The research data were obtained from Statistical Blocks of Iran Statistical Center (2016). The statistical method used to analyze the data, compile the indices and extract the final urban poverty indices with AHP, Topsis and Hotspot. The findings show that the coefficients of influence on the components of the main occupational, occupational, housing and vehicle components respectively are: 0.266, 0.317, 0.223 and 0.184. According to the final index of poverty status in terms of economic indicators, 23 neighborhoods (11.98%) have good quality, 37 neighborhoods (19.27%) have relatively good quality, 52 neighborhoods (27.08%) are in moderate condition, 64 Neighborhoods (33.33%) are in poor condition and finally 16 neighborhoods equivalent to 8.33% of all metropolitan areas of Isfahan are in poor condition. In total, about 42% of all metropolitan areas of Isfahan are in poor condition. The results of the Hotspot model show that neighborhoods with higher than average values in the south and partly in the center of the city and neighborhoods with lower than average values are located in the east and partly west of Isfahan. In fact, the city can be divided into northern and southern parts.
Dr Hafez Mahdnejad, Dr Ahmad Zanganeh,
Volume 25, Issue 76 (3-2025)
Abstract
Innopolis Daedeok is a beacon of scientific excellence and technological innovation, serving as the nerve center of South Korea's research endeavors. By leveraging the presence of esteemed research institutions and universities, this hub has created a fertile ground for commercializing cutting-edge technologies. The research methodology employed is descriptive-analytical and developmental in nature. The findings indicate that Innopolis Daedeok is strategically divided into five distinct regions, spanning 27.7 square kilometers, to achieve its operational objectives. Notably, 11% of South Korea's Ph.D.-level researchers are affiliated with Innopolis Daedeok. Currently, a workforce of 22,000 researchers and employees is engaged in advanced research, with 10% of the country's research workforce concentrated in this hub. The spatial expansion of Innopolis Daedeok has unfolded in four stages: the establishment of the Daedeok Science Town (1973-1993), the creation of innovation (1993-1997), the formation of an innovation cluster (1998-2003), and the growth stage of the innovation cluster (2004 to present). This evolution has enabled Innopolis Daedeok to become a global innovation hub, with a unique triple helix model of government, industry, and academia collaboration. The development and evolution model of Innopolis Daedeok is characterized by three distinct stages: the initial stage (science park model), the development stage (technopolis model), and the maturity stage (innovation cluster model). This model serves as a benchmark for other innovation hubs, highlighting the importance of strategic planning, collaboration, and investment in research and development.
