Document Type : Research Paper

Authors

• Ruhollah Arab Ameri ¹
• Abbas Arghan ²
• saed kamyabi ²

¹ PhD Student in Urban Planning Geography, Semnan Branch, Islamic Azad University, Semnan, Iran

² Associate Professor, Department of Geography and Urban Planning, Semnan Branch, Islamic Azad University, Semnan, Iran

Abstract

Introduction
In essence, creativity involves experiences, innovations, the capacity to rewrite the rules, unconventionality, a new attitude to the affairs, innovative illustration of possible scenarios in the future, distinguishing common points from different points, and adopting a resilient approach to life. A creative city is a conducive environment for human development that lays the ground for developing its residents’ creativity. These cities usually enjoy dynamic and healthy spaces. Thus, it is imperative to pay attention to the factors affecting a creative city to create urban interactive spaces. These factors include human capital, innovation, social capital, and life quality. These factors affect the citizens and overshadow their sense of attachment to such spaces, thus preventing social anomalies. 
 
Data and methodology
Despite similarities with their nature, various scientific research methodologies also have differences, requiring the researcher to use appropriate methodologies consistent with the research subjects and consider the limitations that may arise. This descriptive-analytical research used the survey method to examine ways to improve effective and creative innovations in the urban planning of new cities. This research stresses the effects of human capital, innovation, social capital, and life quality on the creative city. Later in the text, the research addresses each of these indicators and ranks different districts in the new city of Rudyan.
This research falls under extensive research categories (e.g., the city of Rudyan) and is a cross-sectional study. Data were analyzed by SPSS software programs and multi-criteria decision-making technique (DEAMTEL-based ANP). In the descriptive section, the study uses one-dimensional tables, percentages ad frequency, while in the inferential section, T-Test tests, two-sample t-test (independent samples t-test), path analysis, Pearson, etc., were used to test the hypotheses. Also, the DANP model was used to rank the factors affecting the materialization of a creative city.
Discussion and conclusion
The new city of Rudyan has an average innovation index of 2.01, which is not desirable. This indicates that the new city stands at a lower rank than other cities across the nation regarding the application of technology, innovation, science, etc., and it is required to take more measures to become a creative city.
The new city of Rudyan has an average social capital index of 2.74, which is not desirable. Speaking of social capital variables, the city acquired an average rate of 2.88 in the cooperation and collaboration in social relation network (the best situation), while it held an average rate of 2.34 in the variable of social trust (the worst situation). Considering the significance level of less than 0.05 (i.e., 0.003) for all social capital variables, the results from the indicator understudy can be generalized to the whole community.
The new city of Rudyan has an average quality of life index of 2.74, which is not desirable. Speaking of quality-of-life variables, the city held an average rate of 2.94 in the variable of urban culture (the best situation), while it held an average rate of 2.10 in the variable of the environmental situation (the worst situation). Considering the significance level of less than 0.05 (i.e., 0.003) for all variables of quality of life, the results suggest that the city of Rudyan has, like other variables, an undesirable quality of life situation.
Results:
As social trust increases, human capital, innovation, social capital, and life quality will also improve. This is also true of the city of Rudyan. A significant relationship was found between interpersonal trust and human capital with quality of life. There was also a significant relationship between social capital and the creative city, i.e., with the development of social capital components, creative city indicators will also develop (as in the city of Rudyan). The research findings revealed that social capital was a good predictor to explain the city of Rudyan’s creativity.

Keywords

• Creative city
• space
• interaction
• Rudian city
• SPSS
• DANP

Main Subjects

• Urban Planning