نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکترای جغرافیا و برنامهریزی شهری، گروه جغرافیا، واحد اردبیل، دانشگاه آزاد اسلامی، اردبیل، ایران
2 استاد جغرافیا و برنامهریزی شهری، گروه جغرافیا، دانشگاه محقق اردبیلی، اردبیل، ایران
3 دانشیار جغرافیا طبیعی، گروه جغرافیا، واحد اردبیل، دانشگاه آزاد اسلامی، اردبیل، ایران
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Cities with an increasing percentage of population and urbanization expansion, they face significant challenges, including spatial inequality.The role of metropolises due to the cumulative effects of population growth challenges, it is very important. Although cities are considered the center of innovation, but the innovation level between regions is not evenly distributed. The purpose of this study is to level the Tabriz regions in terms of enjoyment of innovative city indicators. This research is based on the purpose the applied research and based on the nature and method the comparative research and the data collection method, it is a survey.Using the Cochran's formula, 384 citizens and 27 experts with snowballs were selected as a sample. The citizens and experts’s questionnaire reliability respectively with values 0/89 and 0/93 approved. The results obtained from ANP show that the sub-criteria of educational centers and science and technology parks respectively with values 0/104046 and 0/908955 are the highest and area and sub-criteria of population respectively with values 0/00374 and 0/757537, have the least effect on the movement of Tabriz city towards an innovative city. An examination of the innovative city indicators distribution shows that region 8 with a Topsis rate of 0/96477 is in the first rank and region 4 with a Topsis rate of 0/680881 is in the last rank of the innovation level. The research findings show that the innovative city indicators are not distributed fairly, there is a spatial focus on the indicators distribution. Therefore, the management of Tabriz metropolis in order to realize the innovative city needs to stimulate innovation through fair distribution of innovative city indicators and decentralization from the center.
کلیدواژهها [English]
- Nazmfar, H. (2017). Urban development predictions direction of using a combination GIS and Bayesian the probabilistic model (case study: Ardabil), Human Geography Research Quarterly, 49, 357-370.