Urban Temporary Accommodation Centers Siting After the Earthquake using the Spatial Integration Approach (District 22 of Tehran)

Document Type : Research Paper

Authors

1 Associate Professor, School of Surveying and Geospatial Information, College of Engineering, Tehran University, Tehran, Iran

2 M.Sc Graduate, School of Surveying and Geospatial Information, College of Engineering, Tehran University, Tehran, Iran

3 Assistant Professor at School of Civil Engineering, Shahrood University of Technology, Shahrood, Iran

Abstract

The purpose of this research is site selection of temporary accommodation centers in District 22 of Tehran with the help of effective criteria. These criteria are including Red Crescent, distance to bridge, distance to schools, distance to the main road, distance to the police station, distance to the gas source, distance to mosques, distance to food distribution centers, distance to metro lines, distance to Metro station, distance to health centers, distance to park and green space, distance to hospital, distance to fire stations, population density, earthquake risk, and slope. The novelty of this study is the use of an appropriate and sufficient combination of criteria for locating temporary accommodation sites. In this regard, the geographically weighted regression (GWR) method with two Gaussian and tri-cube kernels was used. This method is compatible with two unique properties of spatial data, namely spatial autocorrelation, and spatial non-stationarity. The values of R2 and RMSE obtained by the GWR method with tri-cube kernel were 0.9413 and 0.3470, respectively, which indicates the high compatibility of the tri-cube kernel with respect to the Gaussian kernel. The results also show that Chitgar Park and Azadi Sports Complex are some of the largest and most suitable areas for the construction of temporary shelters after the earthquake crisis in the case study.

Keywords

References

 
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Geography and Development
Volume 22, Issue 77 - Serial Number 77
December 2024
Pages 81-106

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  • Receive Date: 24 November 2024
  • Accept Date: 24 November 2024

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