درخت حوزه‌های تخصصی

Sustainability and resiliency analysis of cities is not completed without considering the whole system of interacting sectors. The purpose of this study is to introduce an algorithm for assessment of overall seismic resiliency increase of urban areas due to the reduction of Intra- and Interdependencies between different sectors and retrofitting infrastructures. The proposed method is versatile, and different dimensions of resiliency, i.e., social, economic, technical, physical, institutional, and security dimensions of resiliency are considered in the study. In this research, the technical dimension, i.e., the functionality of water and power networks are modeled as an example, and some solutions to increase overall resiliency of an urban district against earthquake is investigated. The algorithm is based on the inoperability input-output model, and the interaction between water and power sectors in a metropolitan district is surveyed. Based on the results of a number of Monte Carlo simulations of different dependency scenarios, it is quantitatively shown that the decrease in interdependency has a direct and great effect on the increase in serviceability and overall resiliency indices, but the pattern of this effect is different between various earthquake scenarios. It is concluded that the reduction of interdependency has an increasing effect on the overall resiliency index. Thus, an optimum value for interdependency reduction can be obtained to increase resiliency index using the Pareto principle, and the influence of reducing of interdependency on increasing the resiliency of a region as a whole is investigated. The proposed model may be used in system analysis for other dependent sectors and for different disasters and can also be considered as a helpful measure for decision-makers in sustainability and resiliency enhancement studies.

In this research, we are present a GIS-based multi-criteria decision analysis approach to evaluating the suitability for industry site selection in the Kurdistan province in Iran. The multi-criteria decision approach considers different criteria which are standardized by fuzzy membership functions and combined by integration of fuzzy analytical hierarchy process (FAHP) and weighted linear combination techniques. The FAHP is used for the elicitation of attribute weights while WLC method weighting layers by use of obtained weights from FAHP and multiply in constraint elements. In preparation the restriction map, we combine different constraint element by union analyst. We used of increase and decreased linear-fuzzy functions to standardization the layers, and the Gamma operator is used for the overlaying these layers. We used of three levels of gamma operator for overlaying the layers, and we compare the three result map, then we recognized that the 0.5 of gamma operator is rational and optimum.in the final stage by overlaying gamma0.5 result map with restriction map we distinguished the suitable place for industry in Kurdistan province. As a result, 0.024 percent of total province area has the best potential to industrialization.