Abstract

BACKGROUND AND OBJECTIVES: Nowadays, many factors and forces impact urban development and uneven growth are the product of various processes such as political, physical, economic, social, and cultural ones. This study aims to evaluation and analyze the mechanisms affecting the urban development of Boroujerd city located in Lorestan province of Iran and its regional penetration after a proposal of a conceptual framework.METHODS: The research method is structural-analytical-descriptive, which is the main purpose of applied research by collecting data, analytical, quantitative, and documentary methods that have been used to explain the conceptual framework of research in the form of indicators. Delphi with an emphasis on fuzzy logic was also utilized.FINDINGS: The results of regression analysis showed that the correlation coefficient of the variable land exchange on Boroujerd urban development is equal to 0.740 and also the level of activity of this city in the two economic sectors of industry and services is of basic type and showed a higher value than other urban areas of the province and it is mentioned up to unemployment index shows that this city has less unemployment (19.3%) than other cities in the province and the average rate of the province (23.9%).On the other hand, the impact of factors and indicators of natural population growth in Boroujerd in the field of urban development was 1.97, which was a small part of urban population growth and development.CONCLUSION: Finally, it can be said that economic and social indicators have an undeniable role in the formation and development of the city and its penetration of influence and should be considered by city officials and stakeholders. So based on the development of policies such as Planning to organize the privacy and sphere of influence, preventing the settlement of immigrants, prevent the land mechanism and also new development patterns can solve the future matters of the city. Finally, for future research, the scale of action of urban sphere of influence can be proposed and evaluated with mid-scale variables.

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