Volume 10, Issue 4 (12-2023)
Journal of Spatial Analysis Environmental Hazards 2023, 10(4): 41-58 |
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zangiabadi A, Karimi Ghotbabadi F. Measuring the economic resilience of new urban Habitations against Risk of earthquakes using EDAS Method (Case Study: Isfahan Metropolitan). Journal of Spatial Analysis Environmental Hazards 2023; 10 (4) :41-58
URL: http://jsaeh.khu.ac.ir/article-1-3378-en.html
URL: http://jsaeh.khu.ac.ir/article-1-3378-en.html
1- . Isfahan of University , a.zangiabadi@geo.ui.ac.ir
2- University of . Isfahan
2- University of . Isfahan
Abstract: (2100 Views)
Economic resilience to natural disasters, which is actually how economic capacities affect disasters, is one of the issues that must be considered in any society. It is noteworthy that the type of attitude towards economic resilience and how to analyze it on the one hand, plays a key role in how to recognize the current situation resilience and its causes, and on the other hand also affects policies and measures to reduce risk and how to deal with it. The purpose of this study is to rank the economic resilience of new urban Habitations in the Isfahan Metropolitan against earthquake risk. Due to the studied components and the nature of the subject, the approach of this research is "descriptive-analytical". The statistical population of this study includes 6 new urban Habitations of Shahin shahr, Majlesi, Sepahan shahr, Fooladshahr, Baharestan and Shahid Keshvari. This research is applied in terms of purpose and in the research literature section, information has been collected through the library method. According to the results obtained from ASI in this study, the new urban Habitations of Baharestan, Majlesi, Fooladshahr, Shahid Keshvari, Sepahan Shahr and Shahin Shahr have the first to sixth ranks in terms of economic resilience to earthquake risk, respectively. In order to reduce the adverse effects of earthquake risk, pay attention to the economic capacity of the studied Habitations and reduce the economic risk factors in each community, economic resilience should be considered to avoid financial losses caused by these possible accidents.
Type of Study: Applicable |
Subject:
Special
Received: 2023/05/17 | Accepted: 2023/11/9 | Published: 2024/04/28
Received: 2023/05/17 | Accepted: 2023/11/9 | Published: 2024/04/28
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44. Bundschuh, M. Schulz, R. Schafer, B. Allen, CR. Angeler, D. G. (2017). Resilience in ecotoxicology towards a multiple equilibrium context. Environ Toxicol Chemistry, 36: 2574–2580
45. Christophersona, S., Michieb, J and Tylerc, Peter. (2010). Cambridge Journal of Regons, Economy and Society, Regional resilience: theoretical and empirical Perspectives.
46. Cortinovis, C. Geneletti, D. (2019). A framework to explore the effects of urban planning decisions on regulating ecosystem services in cities. Ecosystem Services, 38: 1-13
47. Cutter. S. L, Ash. K. D. Christopher T. Emrich. (2016). Urban–Rural Differences in Disaster Resilience, Annals of the American Association of Geographers, 106: 1236- 1252.
48. Delavar, m, R., Sadrykia, M., & Zare, M., (2017). A GIS-Based Fuzzy Decision Making Model for Seismic Vulnerability Assessment in Areas with Incomplete Data. International Journal of Geo-Information., 6(119). 1-16
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50. Fischer, S. Riedel, W. Haring. I (2018). Morphology Dependent Assessment of Resilience for Urban Areas. Sustainability, 10(1800). PP. 1-14
51. Grazino, P. Rizzi, P. (2016). Vulnerability and resilience in the local systems the case of Italian provinces. Since of the total environment, 553: 211-222
52. Imperiale, A. J. Vanclay, F. (2016). Experiencing local community resilience in action: Learning from post-disaster communities. J. Rural Stud. 47, 204–219
53. Keshavarz Ghorabaee, M. Kazimieras Zavadskas, E., Olfat, L & Turskis, Z (2015). Multi – Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). INFORMATICA, 26(3). PP. 435-451
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55. Lin, S., Wu, R., Yang, F., Wang, J., Wu, W. (2018). Spatial trade-offs and synergies among ecosystem services within a global biodiversity hotspot. Ecol. Indic., 84, PP. 371–381
56. Marius, K. Venkatasubramanian. G. (2017). Exploring Urban Economic Resilience: The Case of a Leather Industrial Cluster in Tamil Nadu. USR 3330 “Savoirs et Mondes Indiens” Working Papers Series - 9; SUBURBIN Papers Series - 3. 29 pages.
57. Mitchell, J. K, 2014, Crucibles of Hazard: Mega – Cities and Disasters in Transition, University Press, Tokyo.
58. Nasreen, M; (2004). Disaster Research; Exploring Sociological Approach to Disaster in Bangladesh, Journal of Sociology, Vol 1. PP. 1-8
59. O’Brien. K. Sygna, L. Haugen, J. E (2004). Vulnerable or Resilience? A multi –Scale Assessment of Climate Impacts and Vulnerability in Norway. Climate Change. 64 (1-2). 193-225
60. Rao, F; summers, R. J; (2016). Planning for retail resilience: Comparing Edmonton and Portland. Cities, Vol 58. PP. 97-106
61. Rose, A, (2004), Defining and measuring economic resilience to disasters Pisaster prevention and Management, Vol. 13. 307-314
62. Rus, K. Kilar, V. Koren, D. (2018). Resilience assessment of complex urban systems to natural disasters: A new literature review. International Journal of Disaster Risk Reduction. 31: 311–33
63. Rusczyk H, A. (2017). The everyday and events: Understanding risk perceptions and resilience in urban Nepal, Durham theses, Durham University.
64. Spaans, M. & Waterhout, B. 2017. Building Up resilience in Cities Worldwide Rotterdam as Participant in the 100 resilient Cities, 61. 109-116
65. Sundstrom, S. M. Angeler, D. G. Barichievy, C. Eason, T. Garmestani, A. Gunderson, L. Knutson, M. Nash, K. L. Spanbauer, T. Stow, C. Allen, C. R. (2018). The distribution and role of functional abundance in Wu, Jianguo. Ecological Resilience as a Foundation for Urban Design and Sustainability, sustainability, 99: 2421–2432
66. Thi, T. Shaw R. (2016). School-based disaster risk reduction education in primary schools in Da Nang city, Central Vietnam. Environ Hazards. 15: 356–73
67. Turner II, BL. 2010. Vulnerability and Resilience: Coalescing or Paralleling for Approaches Sustainability Science? Global Environmental Change, Article in Press, 20(4). 570-576
68. Xie, W. Rose, A. Li, S. He, J. Li, N & Ali, T. (2018). Dynamic Economic Resilience and Economic Recovery from Disasters: A Quantitative Assessment. Risk Analysis. No. 6. PP. 1306-1318
69. Yumnrni. T. (2018). Ten years later: economic resilience of small scale enterprise following earthquake in Bantul Yogyakarta. Procedia Engineering. Vol. 2012. PP. 309-315
70. Zhou, K. Liu, B & Fan, J. (2020). Post-earthquake economic resilience and recovery efficiency in the border areas of the Tibetan Plateau: A case study of areas affected by the Wenchuan Ms 8. 0 Earthquake in Sichuan, China in 2008. Geographical Sciences. No. 8. PP. 1363-1381
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