Statistical Analysis of Urban Characteristics and their Relationship to the Variation in Land Prices in the City of Kirkuk
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Abstract
Spatial variation in land prices in urban areas has a substantial influence on development strategies, as it serves as a crucial tool for assessing the requirements of a city and its constituents in promoting societal well-being. The price of land plays a pivotal role in determining the range of existing land uses within the urban fabric, and additionally serves as a determining factor in land utilization. This study focuses on the various uses of land within the city and their economic benefits. The research relies on a set of variables that influence the spatial variation of land prices in Kirkuk. The researcher conducted a field survey and applied the analysis factor method to a specific group of data. The study involved the identification of variables by residents in a city, encompassing 29 urban variables across 55 residential neighborhoods. The data was then entered and analyzed using the statistical program SPSS v25. The method employed for factor analysis was the principal component analysis method.
The factorial analysis conducted by the researcher revealed that there are four factors with values exceeding 1.5, which collectively account for 75.72% of the total variance in the characteristics influencing spatial variance of land prices within the city. The first factor was found to have the highest importance in explaining the phenomenon, with a value of 11.165%. These percentages are in relation to the variation in the data matrix, which represents 38.499% of the spatial variation in the characteristics of land prices within the city. These findings can be used as a foundation for addressing the variation in land prices within the city.
The study proposes that the state and relevant authorities should implement regulations on land prices and rents, while also curbing speculation in the real estate market. Additionally, it recommends the adoption of a five-year housing policy based on precise statistical methodologies and scientific planning standards to ensure sufficient housing for the population.
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References
(1) Abeer Adnan Khalfa, Spatial analysis of the value of land prices in the city of Diwaniyah, previous source, p. 392.
) 2) Haitham Abdel-Hussein Ali Al-Shammari, Neighboring Events and the Unity of Urban Place, Master Thesis, Higher Institute for Urban and Regional Planning, University of Baghdad, 2004, p. 84.
)( The area was extracted by (Arc GIS 10.8).
(3) Ministry of Planning and Development Cooperation, Central Statistical Organization, Kirkuk Statistics Department, population projections for the year 2021.
(4) Muhammad Anwar Ibrahim Farrag, The factorial components of critical thinking among students of the faculties of education in the light of some variables, PhD thesis (unpublished), Faculty of Education, Alexandria University, 2002, p. 196.
(5) Abdul Hameed Mahmoud Al-Abbasi, “Factor Analyzes, Applications in the Social Sciences using Spss, Institute of Statistical Studies and Research, Department of Vital and Population Statistics, Cairo University, 2011, p. 2.
(6) The same source, p. 2.
(7) Loay Taha Muhammad and Nizar Shaker Mahmoud, “Application of the Factor Analaysis Method for Urban Development Indicators for the City of Ramadi,” Iraqi Journal of Desert Studies, Volume 4, Issue 2, 2012, p. 73.
)( In 1933, Hottelling developed the basic components method, which is one of the most accurate, common and used factorial analysis methods in human research today, due to the accuracy of its results compared to other methods.