Application of Optimal Multi-Objective Genetic Algorithms in Locating Temporary Housing after an Earthquake (Case Study: District 5 of Tabriz)

Document Type : Research Article

Authors

1 Assistant Professor of Geography and Urban Planning, Payame Noor University, Tehran, Iran

2 M.Sc. Graduate , Mamaghan Branch, Islamic Azad University, Mamaghan, Iran

Abstract

Today, the importance of earthquakes in Iran is increasingly understood as the expansion of cities and population concentration in them intensifies. In this regard, the city of Tabriz is one of the settlements that has repeatedly experienced direct exposure to earthquake risk. The earthquake risk zoning of Tabriz, which was carried out by Tehran Padir Company in 2009, has predicted more than 426 thousand human casualties for the earthquake in North Tabriz. The north of Tabriz fault is the most fundamental formation in the area of Tabriz plain, which has been created in terms of its compressive subsidence, Tabriz plain. In addition, since the above fault cuts most of the Quaternary sediments, it has high seismic strength.
Studies show that a lot of construction has been done exactly in the study area (District 5 of Tabriz) and completely on the fault and its area (Figure 2). While according to the regulations of urban planning, construction and creating use in cities, it must be at least 20 km away from the fault area. The zoning of tectonic factors (slope and topography) shows that despite the unfavorable geographical conditions in this part of the city and the lack of observance of construction in the fault area in the last century, uncontrolled population has continued with severe erosion of residential structures. However, despite the warnings of researchers and experts and the awareness of relevant officials about the risk and risk of housing construction, especially high-rise housing and commercial towers in the study area, construction and construction activities are still in full swing. The possibility of seismic potential of severe historical earthquakes with the formation of marginal tissues in the last 50 years and consequently the erosion of these tissues in the study area will lead to a major human catastrophe in this city.
Analytical-descriptive research method and two sets of compatible and incompatible criteria have been used. Using a multi-objective genetic optimization algorithm, as a new meta-innovative method, a model has been proposed in combination with GIS, which simultaneously selects the population and examines the quality of the location based on the defined objective functions.
Suitable locations for temporary housing for earthquake victims are shown in Figure 8 of the Temporary Accommodation Prioritization Map. In general, according to the location of the study area and available data with 14 different natural and human criteria, including the dimensions of safe places, population density, canals, green space, sports, passages, number of floors of buildings, gas transmission lines, training centers, fuel stations, fire stations, medical centers, fault lines and slope, the optimal locations for temporary accommodation of earthquake victims in District 5 of Tabriz were identified. The results of this study show that parts of the city that have sufficient open spaces and at the same time are compatible with the surrounding uses, have a relatively better potential for the location of the injured. In contrast, areas with high population density, relatively high vulnerability, mixed uses and lack of sufficient space and with planning value, have the least possible ability to plan temporary housing for earthquake victims. According to the results of the study, the best places for locating earthquake victims in District 5 of Tabriz, related to open spaces, gardens and barren lands have been evaluated.
This study shows that parts of the city that have sufficient open spaces and at the same time are compatible with the surrounding uses, have a relatively better potential for the location of the injured. Moreover, given that genetic algorithms, especially the optimal multi-objective genetic algorithm, are used to optimize the answers obtained.
Which have several functions and purposes were used In which it demonstrated its efficiency for the rapid transfer of earthquake victims and the allocation of population blocks by defining target functions commensurate with them, to temporary accommodation, Therefore, this research, with its capability, knowledge and information, was able to do better planning for temporary accommodation of citizens in the time after the earthquake.

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