An Assessment of Social Resilience against Natural Hazards through Multi-Criteria Decision Making in Geographical Setting:A Case Study of Sarpol-e Zahab, Iran
| Autor: | Davoud Shahpari Sani, Mohammad Taghi Heidari, Hossein Tahmasebi Mogaddam, Saman Nadizadeh Shorabeh, Saman Yousefvand, Anahita Karmpour, Jamal Jokar Arsanjani |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Renewable Energy
Sustainability and the Environment Geography Planning and Development Building and Construction SDG 10 - Reduced Inequalities Management Monitoring Policy and Law Sarpol-e Zahab locative multi-criteria decision-making (MCDM) model SDG 11 - Sustainable Cities and Communities natural hazards social resilience SDG 13 - Climate Action SDG 15 - Life on Land |
| Zdroj: | Shahpari Sani, D, Heidari, M T, Tahmasebi Mogaddam, H, Nadizadeh Shorabeh, S, Yousefvand, S, Karmpour, A & Jokar Arsanjani, J 2022, ' An Assessment of Social Resilience against Natural Hazards through Multi-Criteria Decision Making in Geographical Setting : A Case Study of Sarpol-e Zahab, Iran ', Sustainability (Switzerland), vol. 14, no. 14, 8304 . https://doi.org/10.3390/su14148304 Sustainability; Volume 14; Issue 14; Pages: 8304 |
| DOI: | 10.3390/su14148304 |
| Popis: | The aim of this study was to propose an approach for assessing the social resilience of citizens, using a locative multi-criteria decision-making (MCDM) model for an exemplary case study of Sarpol-e Zahab city, Iran. To do so, a set of 10 variables and 28 criteria affecting social resilience were used and their weights were measured using the Analytical Hierarchy Process, which was then inserted into the Weighted Linear Combination (WLC) model for mapping social resilience across our case study. Finally, the accuracy of the generated social resilience map, the correlation coefficient between the results of the WLC model and the accuracy level of the social resilience map were assessed, based on in-situ data collection after conducting a survey. The outcomes revealed that more than 60% of the study area falls into the low social resilience category, categorized as the most vulnerable areas. The correlation coefficient between the WLC model and the social resilience level was 79%, which proves the acceptability of our approach for mapping social resilience of citizens across cities vulnerable to diverse risks. The proposed methodological approach, which focuses on chosen data and presented discussions, borne from this study can be beneficial to a wide range of stakeholders and decision makers in prioritizing resources and efforts to benefit more vulnerable areas and inhabitants. |
| Databáze: | OpenAIRE |
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