A Systematic Literature Review for Determining Disaster Resilience

Abstract

Disasters with increasing frequency of occurrence and with huge effects on the society have become an important problem of the societies. In order to obtain sustainability in any society, the effects of the disasters must be predicted and some plans must be prepared. Since it is very hard to predict the disasters and their effects previously, the best way in disaster management is to increase disaster resilience of societies. In this study a systematic literature review was performed for the articles investigating disaster resilience. Web of Science database was used with the keywords given below. The articles related with the determination methods of disaster resilience were selected by using a general reading and inspection of the articles. 41 articles, which are directly related to disaster management and disaster resilience, were examined. They are classified with respect to publishing year, disaster topics (types), basic criteria used, methodologies followed in the article, methods used in the evaluation stages and application country of the articles. This study is the first one conducted in this context for articles covering all disaster resilience topics. Also, it will give to researchers and scientist, who want to study on disaster resilience, a guide for finding journals, authors and selecting methodologies, methods and main criteria topics.

Keywords

• Disaster management
• Disaster resilience
• Resilience indicators
• Multi-criteria decision-making
• Multi-attribute decision making

References

1. [1] Parizi, S. M., Taleai, M., Sharifi, A., “A GIS-Based Multi-Criteria Analysis Framework to Evaluate Urban Physical Resilience against Earthquakes", Sustainability, 14(9): 10-26, (2022). DOI: http://dx.doi.org/10.3390/su14095034.
2. [2] https://www.sbb.gov.tr/wp-content/uploads/2023/03/2023-Kahramanmaras-ve-Hatay-Depremleri- Raporu.pdf. Access date: 28.10.2023
3. [3] https://publications.iom.int/system/files/pdf/climate_change_and_migration_in_vulnerable_ countries.pdf. Access date: 09.12.2023
4. [4] Yenidünya, S., Limoncu, S., “Bina Yenileme Uygulamaları için Sürdürülebilirlik Ölçütlerinin Belirlenmesi: Sistematik Literatür Taraması ve Meta Analizi, Megaron”, 15(2): 270–284, (2020). DOI: http://doi.org/10.14744/megaron.2020.92499.
5. [5] Zhang, S., Zhang, J., Li, X., Du, X., Zhao, T., Hou, Q., Jin, X., “Estimating the grade of storm surge disaster loss in coastal areas of China via machine learning algorithms”, Ecological Indicators, 136: 1-19, (2022). DOI: http://dx.doi.org/10.1016/j.ecolind.2022.108533.
6. [6] Bucherie, A., Hultquist, C., Adamo, S., Neely, C., Ayala, F., Bazo, J., Kruczkiewicz, A., “A comparison of social vulnerability indices specific to flooding in Ecuador: principal component analysis (PCA) and expert knowledge”, International Journal of Disaster Risk Reduction, 73: 1-21, (2022). DOI: http://dx.doi.org/10.1016/j.ijdrr.2022.102897.
7. [7] Munpa, P., Kittipongvises, S., Phetrak, A., Sirichokchatchawan, W., Taneepanichskul, N., Lohwacharin, J., Polprasert, C., “Climatic and hydrological factors affecting the assessment of flood hazards and resilience using modified UNDRR indicators: Ayutthaya, Thailand”,Water, 14(10): 1603, (2022). DOI: http://dx.doi.org/10.3390/w14101603.
8. [8] Salgado-Gálvez, M. A., Zuloaga Romero, D., Velásquez, C. A., Carreño, M. L., Cardona, O.-D., Barbat, A. H., “Urban seismic risk index for Medellín, Colombia, based on probabilistic loss and casualties estimations”, Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 80(3), 1995‐2021. (2016), DOI: http://dx.doi.org/10.1007/s11069- 015-2056-4.

9. [9] Jaramillo, N., Carreño, M. L., Lantada, N., “Evaluation of social context integrated into the study of seismic risk for urban areas”, International Journal of Disaster Risk Reduction, 17, 185–198, (2016), DOI:http://dx.doi.org/10.1016/j.ijdrr.2016.05.002.
10. [10] De Iuliis, M., Kammouh, O., Cimellaro, G. P., “Measuring and improving community resilience: a Fuzzy Logic approach”, International Journal of Disaster Risk Reduction, 78, 103118, (2022), DOI: http://dx.doi.org/10.1016/j.ijdrr.2022.103118.
11. [11] He, Z., Chen, H., Yan, H., Yin, Y., Qiu, Q., Wang, T., “Scenario-Based Comprehensive Assessment for Community Resilience Adapted to Fire Following an Earthquake, Implementing the Analytic Network Process and Preference Ranking Organization Method for Enriched Evaluation II Techniques”, Buildings, 11, 523, (2021). DOI: http://dx.doi.org/10.3390/buildings11110523.
12. [12] Yang, Y., Guo, H., Chen, L., Liu, X., Gu, M., Pan, W., “Multiattribute decision-making for the assessment of disaster resilience in the Three Gorges Reservoir area”, Ecology and Society, 25(2), 1–14, (2020), DOI: http://dx.doi.org/10.5751/ES-11464-250205.
13. [13] Lantada, N., Carreño, M. L., Jaramillo, N., “Disaster risk reduction: A decision-making support tool based on the morphological analysis”, International Journal of Disaster Risk Reduction, 42, 13-42, (2020), DOI: http://dx.doi.org/10.1016/j.ijdrr.2019.101342.
14. [14] Xu, W., Xiong, S., Zhong, Z., Proverbs, D., “Evaluation of humanitarian supply chain resilience in flood disaster”, Water (Switzerland), 13(16), 21-58, (2021). DOI: http://dx.doi.org/10.3390/w13162158
15. [15] Xu, H., Li, S., Xing, B., Tan, Y., “Comprehensive Resilience Assessment of Complex Urban Public Spaces: A Perspective of Promoting Sustainability”, Land, 11(6), 842-861, (2022). DOI: https://doi.org/10.3390/land11060842
16. [16] Moghadas, M., Asadzadeh, A., Vafeidis, A., Fekete, A., Kötter, T., “A multi-criteria approach for assessing urban flood resilience in Tehran, Iran”, International Journal of Disaster Risk Reduction, 35, 10-36, (2019). DOI: http://dx.doi.org/10.1016/j.ijdrr.2019.101069.
17. [17] Ortiz-Barrios, M., Gul, M., López-Meza, P., Yucesan, M., Navarro-Jiménez, E., “Evaluation of hospital disaster preparedness by a multi-criteria decision-making approach: The case of Turkish hospitals”, International Journal of Disaster Risk Reduction, 49, 17-48, (2020). DOI:http://dx.doi.org/10.1016/j.ijdrr.2020.101748
18. [18] Zhao R., Liu, S., Liu, Y., Zhang, L., Li, Y., “A hybrid of a data envelopment analysis and fuzzy decision-making”, Journal of Loss Prevention in the Process Industries, 56, 95-103, (2018). DOI: http://dx.doi.org/10.1016/j.jlp.2018.08.018
19. [19] Jamali, A., Robati, M., Nikoomaram, H., Farsad, F., Aghamohammadi, H., “Urban Resilience Assessment Using Hybrid MCDM Model Based on DEMATEL-ANP Method (DANP)”, Journal of the Indian Society of Remote Sensing, 51(4), 893–915, (2023), DOI: http://dx.doi.org/10.1007/s12524-023-01670-8
20. [20] Alam, M. S., Haque, S. M., “Multi-dimensional earthquake vulnerability assessment of residential neighborhoods of Mymensingh City, Bangladesh: A spatial multi-criteria analysis based approach”, Journal of Urban Management, 11, 37–58, (2022), DOI: http://dx.doi.org/10.1016/j.jum.2021.09.001.
21. [21] Xun, X., Yuan, Y., “Research on the urban resilience evaluation with hybrid multiple attribute TOPSIS method: an example in China”, Natural Hazards, 103, 557–577, (2020). DOI: http://dx.doi.org/10.1007/s11069-020-04000-0.
22. [22] Marzi, S., Mysiak, J., Essenfelder, A. H., Amadio, M., Giove, S., Fekete, A., “Constructing a comprehensive disaster resilience index: The case of Italy”, PLoS ONE, 14, 9-41, (2019). DOI: http://dx.doi.org/10.1371/journal.pone.0221585
23. [23] Tayyab, M., Zhang, J., Hussain, M., Liu, X., Al-Shaibah, B., Ullah, S., Khan, S. N., Baig, M. A., Hassan, W., “Gis-based urban flood resilience assessment using urban flood resilience model: A case study of Peshawar city”, Khyber Pakhtunkhwa, Pakistan, Remote Sensing, 13, 10-25, (2021). DOI: http://dx.doi.org/10.3390/rs13101864.
24. [24] Senan, C. P. C., Ajin, R. S., Danumah, J. H., Costache, R., Arabameri, A., Rajaneesh, A., Sajinkumar, K. S., Kuriakose, S. L., “Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models”, Stochastic Environmental Research and Risk Assessment, 37(2), 527–556, (2023). DOI: http://dx.doi.org/10.1007/s00477-022-02267-2.
25. [25] Park, Y., Lee, S., Lee, J., “Comparison of fuzzy AHP and AHP in multi-criteria inventory classification while planning green infrastructure for resilient stream ecosystems”, Sustainability (Switzerland), 12(21), 1–25, (2020). DOI: http://dx.doi.org/10.3390/su12219035.
26. [26] Parizi, S.M., Taleai, M., Sharifi, A., “A GIS-Based Multi-Criteria Analysis Framework to Evaluate Urban Physical Resilience against Earthquakes”, Sustainability, 14, 34-50, (2022). DOI: http://dx.doi.org/10.3390/su14095034
27. [27] Wang, DL., Wang, Y., “Emergency capacity of small towns to endure sudden environmental Pollution accidents: Construction and application of an evaluation model”, Sustainability (Switzerland), 13(10), 11-55, (2021). DOI: http://dx.doi.org/10.3390/su13105511.
28. [28] Abdrabo, K. I., Kantoush, S. A., Esmaiel, A., Saber, M., Sumi, T., Almamari, M., Elboshy, B., Ghoniem, S., “An integrated indicator-based approach for constructing an urban flood vulnerability index as an urban decision-making tool using the PCA and AHP techniques: A case study of Alexandria, Egypt”, Urban Climate, 48, 10-26, (2023). DOI: http://dx.doi.org/10.1016/j.uclim.2023.101426
29. [29] Xu, WP., Xiang, L., Xiong, S., Proverbs, D., “The influence of COVID-19 on community disaster resilience”, International Journal of Environmental Research and Public Health, 18(1), 1–18, (2021). DOI: http://dx.doi.org/10.3390/w13162158.
30. [30] Moreira L. L., M. M. de Brito, Kobiyama M., “Review article: A systematic review and future prospects of flood vulnerability indices”, Natural Hazards and Earth System Sciences, 21, 1513– 1530, (2021). DOI: http://dx.doi.org/10.5194/nhess-21-1513-2021.
31. [31] Mason, K., Lindberg, K., Haenfling, C., Schori, A., Marsters, H., Read, D., Borman, B., “Social vulnerability indicators for flooding in aotearoa New Zealand”, International Journal of Environmental Research and Public Health, 18, 8-37, (2021). DOI: http://dx.doi.org/10.3390/ijerph18083952
32. [32] Sharifi, A., Yamagata, Y., “A conceptual framework for assessment of urban energy resilience”, Clean, Efficient And Affordable Energy For A Sustainable Future, 75, 2904-2909, (2015). DOI: http://dx.doi.org/10.1016/j.egypro.2015.07.586.
33. [33] Laurien, F., Martin, JGC., Mehryar, S., “Climate and disaster resilience measurement: Persistent Gaps in multiple hazards, methods, and practicability”, Climate Risk Management, 37, (2022). DOI:http://dx.doi.org/10.1016/j.crm.2022.100443.
34. [34] Tariq, H., Pathirage, C., Fernando, T., “Measuring community disaster resilience at local levels: An adaptable resilience framework”, International Journal Of Disaster Risk Reduction, 62, (2021). DOI:http://dx.doi.org/10.1016/j.ijdrr.2021.102358 .
35. [35] Copeland, S., Comes, T., Bach, S., Nagenborg, M., Schulte, Y., Doorn, N., “Measuring social resilience: Trade-offs, challenges and opportunities for indicator models in transforming societies”, International Journal Of Disaster Risk Reduction, 51, (2020). DOI: http://dx.doi.org/10.1016/j.ijdrr.2020.101799.
36. [36] Ivcevic, A., Mazurek, H., Siame, L., Ben Moussa, A., Bellier, O., “Indicators in risk management: Are they a user-friendly interface between natural hazards and societal responses? Challenges And opportunities after UN Sendai conference in 2015”, International Journal Of Disaster Risk Reduction, 41, (2019). DOI: http://dx.doi.org/10.1016/j.ijdrr.2019.101301.
37. [37] Clar, C., Loschner, L., Nordbeck, R., Fischer, T., Thaler, T., “Population dynamics and natural hazard risk management: conceptual and practical linkages for the case of Austrian policy making”, Natural Hazards, 105, 1765 – 1798, (2021). DOI: http://dx.doi.org/10.1007/s11069-020-04376-z.
38. [38] Modugno, S., Johnson, SCM., Borrelli, P., Alam, E., Bezak, N., Balzter, H., “Analysis of human exposure to landslides with a GIS multiscale approach”, Natural Hazards, 112, 387 – 412, (2022). DOI: http://dx.doi.org/10.1007/s11069-021-05186-7.
39. [39] Sena, A., Ebi, KL., Freitas, C., Corvalan, C., Barcellos, C., “Indicators to measure risk of disaster associated with drought: Implications for the health sector”, Plos One, 12, (2017). DOI: http://dx.doi.org/10.1371/journal.pone.0181394.
40. [40] Townend, BIH., French, JR., Nicholls, RJ., Brown, S., Carpenter, S., Haigh, ID., Hill, CT., Lazarus, E., Penning-Rowsell, EC., Thompson, CEL., Tompkins, EL., “Operationalising coastal resilience to flood and erosion hazard: A demonstration for England”, Science Of The Total Environment, 783, (2021). DOI: http://dx.doi.org/10.1016/j.scitotenv.2021.146880.
41. [41] Dang, NA., Benavidez, R., Tomscha, SA., Nguyen, H., Tran, DD., Nguyen, DTH., Loc, HH., Jackson, BM., “Ecosystem Service Modelling to Support Nature-Based Flood Water Management in the Vietnamese Mekong River Delta”, Sustainability, 13, (2021). DOI: http://dx.doi.org/10.3390/su132413549.