خلاصة:
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.
ملخص الجهاز:
In total, to achieve these goals, first, 50 variables affecting 600 sections have been field-sampled in Shiraz (their land use has been changed in Article Five Commission from 1994 to 2017) and analyzed using GIS maps as well as Amos and SPSS software to examine a set of bivariate correlations {مراجعه شود به فایل جدول الحاقی} 33 {مراجعه شود به فایل جدول الحاقی} Table 2: Summarizing the criteria and indicators affecting plan feasibility from the viewpoint of thinkers {مراجعه شود به فایل جدول الحاقی} Relationship between goals and mechanisms of program feasibility, the relationship between city needs and )Oliveria & Pinho, 2008( program objectives, the state of the planning system, participation in the program (quality and quantity of citizen participation), the impact of political power in the structure, planning process and products, human and financial resources’ commitments, the rate of benefit of the plan Awareness and complete information about the quality of the results of the plan, awareness of the priorities of future users of space and those who will be investors in future, stock markets and economic markets, land )Carmona & Edwards, 2001( prices, land ownership, coordinated development at all stages of the plan, understanding between constructors and the public sector, projects should preferably be achieved in the short term, an optimal interaction between property buyers and owners of the property, appropriate decision patterns, skills and experience of urban design professionals in a table called correlation matrix or covariance matrix, the most important of which are confirmatory factor analysis and structural equation modeling (SEM).