جستجوی مقالات مرتبط با کلیدواژه « temporary shelter » در نشریات گروه « جغرافیا »

The speed of provision and establishment of housing for the survivors of accidents is an important issue in crisis management, the simplest solution for temporary housing is light and mobile structures that can be implemented and used in any place and situation. Temporary housing must be flexible. It should be sufficient against the special conditions of any environment, and it should have good transportability, installation and execution speed. The current research is a quantitative method with a descriptive-analytical nature and it tries to identify design solutions and Effective on safety and security. After examining the living conditions after the accidents, a prefabricated structure sample will be presented that is suitable for the accommodation conditions after the accidents in each region. The National Building Code was carried out and loaded in Etabs software based on topic 6 of the National Building Regulations and its earthquake load was calculated according to the standard 2800, fourth edition and in the area with a very high earthquake risk, and these results indicate that this structure It is ready to serve in any region under any conditions and can reduce the costs of temporary accommodation and short-term settlements through the use of these structures. This structure can be adapted to the architectural features and climatic conditions and the quality of life promotes.
 

The purpose of this research is to select temporary accommodation centers after the earthquake crisis to meet the needs of the victims. Therefore, this research has tried to identify temporary accommodation sites in District 22 of Tehran with the help of effective criteria. The required data has been obtained from the Tehran Disaster Mitigation and Management Organization and the results of the general population and housing census of 2017. The novelty of this research is to present a new combination approach to determine the effective criteria for locating temporary shelter sites. In this regard, the combination of geographically weighted regression (Gaussian and tri-cube kernels) with a binary particle swarm optimization algorithm was used. The recommended combination method is suitable for spatial regression problems because it is compatible with two unique properties of spatial data, i.e. spatial autocorrelation and spatial non-stationarity. The best value of the fitness function (1-R2) for Gaussian and tri-cube kernels was obtained at 0.04616 and 0.0097, respectively, which indicates the high compatibility of the tri-cube kernel with effective criteria. According to the obtained maps, Chitgar Park and Azadi Sports Complex are some of the widest and most suitable areas for the construction of temporary shelter sites after the earthquake crisis in the case study. By identifying temporary shelters, relevant organizations can provide the appropriate infrastructure for these selected centers so that there is no need to spend time to provide these services in the event of an earthquake.