Evaluation the Role of Factors Affecting the Feasibility of Urban Development Plans through Structural Equation Model (A Case Study in Shiraz City)
Subject Areas : Urban Development
Naser
Rezaei
1
(*Ph.D. Student, Department of Urban Development, Science and Research Branch, Islamic Azad University, Tehran, Iran.)
Hamid
Majedi
2
(Professor, Department of Urban Development, Science and Research Branch, Islamic Azad University, Tehran, Iran.)
Zahra Sadat Saeideh
Zarabadi
3
(Assistant professor, Department of Art and Architecture, Science and Research, Islamic Azad University, Tehran , Iran.)
Hossein
Zabihi
4
(Associate professor in Urban Planning, Department of Art and Architecture, Islamic Azad University, Science and Research Branch, Tehran, Iran)
Keywords: urban development plan, Shiraz, SEM, land use, land use change,
Abstract :
The main purpose of this paper is to explain the factors affecting the change of service land uses in the city of Shiraz and identify its reasons. For this purpose, the second-order confirmatory factor analysis technique has been used as one of the structural equation modeling techniques to determine the severity of the effect of the four factors on land use change, through which a contributing framework for the effects of the four factors (physical, activity, economic, accessibility) on land use change is obtained. Finally, the extent and direction of the factors affecting the realization of service land uses in the city of Shiraz are explained using the structural equation model (SEM). In order to achieve these goals, 50 variables affecting 600 plots in Shiraz city are extracted through field method. The variables are investigated and analyzed using GIS maps, Amos and SPSS software, and a series of bi-variable correlations in a table called correlation matrix or covariance, the most notably of which are confirmatory factor analysis and SEM. The results of the research show that, in total, the selected four factors have a significant effect on the land use change. It is such that the standardized weights of regression for "the effect of the access factor on land use change", "the effect of the economic factor on land use change", "the effect of the activity factor on land use change", and "the effect of the physical factor on land use change" are 0.91, 0.78, 0.65, and 0.56, respectively.
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