Sustainability Model to Select Optimal Site Location for Temporary Housing Units: Combining GIS and the MIVES–Knapsack Model

Abstract

Selecting the best site location for temporary housing (TH) is one of the most critical decision-making processes in the aftermath of disasters. Many spatial variables and multi-criteria indicator problems are involved in the decision-making analysis. Incorrect treatment of these components often led to failure in previous post-disaster recovery programmes. Wrong decisions caused short- and long-term negative impacts on the environment and people as well as wasting capital spending. In this regard, this research paper aims to present a novel multi-criteria decision-making approach that helps decision makers select optimal site locations to consider spatial and sustainability-related aims by assessing numerous alternatives. This new model is based on combining a knapsack algorithm and the integrated value model for sustainability assessment (MIVES) to derive optimal alternatives. This model makes it possible to objectively quantify sustainability indicators (economic, environmental, and social aspects) and derive satisfaction indices for each site (or set of sites) in terms of TH location. The model is designed to receive and filter data from a geographic information system (GIS). Using this model in future post-disaster recovery programs is believed to increase stakeholders’ satisfaction and maximise the sustainability associated with the selection.

Optimizing Emergency Shelter Selection in Earthquakes Using a Risk-Driven Large Group Decision-Making Support System

“…To check this criterion, the distance of access is considered. As a result, the less distance to parks and open spaces, the more desirable it is [34].…”

“…In order to determine the optimal location of emergency shelters in small mountain cities, they developed multi-level location methods for different levels of emergency shelters with the goal of minimizing travel and construction budgets while maximizing coverage. Hosseini, et al [34] presented a multi-criteria decision-making approach that utilizes a knapsack algorithm and an integrated value model for sustainability assessment in Tehran, Iran, to assist decision-makers in selecting optimal site locations by assessing a variety of alternatives. Tsioulou, Faure Walker, Lo and Yore [27] presented a method for evaluating the relative suitability of various school buildings as emergency shelters based on the AHP.…”

HBIM-Based Decision-Making Approach for Sustainable Diagnosis and Conservation of Historical Timber Structures

“…where k = Requirement index; r = number of Requirements; j = Criterion index; c k = number of Criteria of considered Requirement; i = Indicator index; n k j = number of Indicators of considered Criterion; α k = Requirement weight; β k j = Criterion weight; γ k j i = Indicator weight; V k j i x k j i , A = satisfaction value expressed in percentage by examining a Value Function V k j i calculated in the assessed x with respect to Indicator i for each Alternative (A) [50].…”

Toplu taşıma ağı mesafesine dayalı çok kriterli konum değerlendirme endeksi: İzmir örneği

“…Hosseini vd. [32] çalışmasında, afetlerden sonra geçici barınma için en uygun yerlerin seçilmesine yönelik çok kriterli bir karar verme yaklaşımı önermiştir. Ağırlıklar, Shannon entropi yöntemiyle birlikte uzmanlarla yapılan seminerler ve AHP'nin kullanılmasını içeren hibrit bir yaklaşımla hesaplanmıştır ve Tehran örneğinde uygulanmıştır.…”