Spatial Changes in Building density Density and Identification of Affecting Factors (Case Study: Bijar City)

Subject Areas :

Amer Nikpour ¹ , Taher safarrad ² , Behnaz Mohammadyari ³

1 - Associate Professor, Department of Geography and Urban Planning, University of Mazandaran, Babolsar, Iran
2 - Assistant Professor, Department of Geography and Urban Planning, University of Mazandaran, Babolsar, Iran.
3 - Master's degree in geography and urban planning, University of Mazandaran, Babolsar, Iran.

Received: 2020-03-30 Accepted : 2021-07-21 Published : 2023-01-21

Keywords: Spatial variability, Building density, Spatial weight regression, Bijar,

Abstract :

The expansion of cities and the subsequent policy of condensation has made congestion as one of the most important determinants of urban problems. The present study, with a descriptive-exploratory and survey approach, has analyzed the variations of congestion types and their spatial developments in Bijar in two time periods 2006 and 2016. Using statistical block data, trends of index changes and their distribution throughout the city have been studied. Spss, Excel, GIS software was used for statistical analysis and graphical representation of maps. According to the results, there is a direct and significant relationship between population density and building density in Bijar city. The west and northwest boundaries of the city are drawn. In 2006, about 11/10% of the total area and 24/89% of the city population were in the high density of construction area, which in 2016 amounted to 12/13% and 31/59% of the total urban area. According to the results, there is an inverse relationship between congestion and distance from downtown with decreasing congestion distance from downtown. Also, R2 coefficient showed that in year 2006 almost 60% of congestion changes were explained by variable distance from downtown but This has fallen to 95% in 2016, a decrease that reflects the more spatial distribution of neighborhood-level construction in recent times. The results of weight regression also show that three variables of land price in west and southwest, population density in north, central and southwest and distance to neighborhood center in west and southwest are the most important factors affecting The transitions are in the building density of Bijar.

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