DOI: https://doi.org/10.14710/geoplanning.10.2.83-96

Investigating the Relationship between Resilience and the Situation of Risk in the Face of Natural Disasters

Meysam Raeisian  -  Department of Geography, Chalous Branch, Islamic Azad University, Chalous, Iran, Iran, Islamic Republic of
*Maryam Ilanloo orcid  -  Department of Geography, Mahshahr Branch, Islamic Azad University, Mahshahr, Iran, Islamic Republic of
Leila Ebrahimi  -  Department of Geography, Chalous Branch, Islamic Azad University, Chalous, Iran, Iran, Islamic Republic of

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Abstract

Creating cities resilient in multiple dimensions could be appropriate and economic thanks to strengthening town structure to alter crises and natural and unnatural hazards. Therefore, the aim of this study is to investigate the connection between the resilience in the city of Sari and the risk situation towards natural disasters. Data analysis with geographic information system (GIS), Decision making trial and evaluation laboratory (DEMATEL), and analytic network process (ANP) is carried out. The variables studied to explain the resilience of the city of Sari are the conditions of open spaces, incompatible land uses, land bed, building resistance, access, property, density, which are evaluated in the presented paradigm. After collecting the scores and multiplying the scores by the coefficients obtained from the statistical procedures of an urban resilience model, the final computation of urban resilience in Sari was performed. The results show that its value has been calculated as 5.44398, which shows that there is an urgent need to develop programs and reform structures to increase the level of resilience in this urban area. One of the effective factors in urban resilience is the high level of social participation in crisis, which is necessary in this area. It is suggested to create educational programs in the community, so that they can maximize the level of communication and participation of employees.

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Keywords: Urban resilience, Spatial risk, Spatial Modelling, Natural disasters, Vulnerability, DANP

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Section: Original Research
Language : EN
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  1. Amin, S. B., Chowdhury, M. I., Asif Ehsan, S. M., & Zahid Iqbal, S. M. (2021). Solar energy and natural disasters: Exploring household coping mechanisms, capacity, and resilience in Bangladesh. Energy Research & Social Science, 79, 102190. https://doi.org/10.1016/j.erss.2021.102190">[Crossref]

  2. Asadzadeh, A., Kötter, T., & Zebardast, E. (2015). An augmented approach for measurement of disaster resilience using connective factor analysis and analytic network process (F’ANP) model. International Journal of Disaster Risk Reduction, 14, 504-518. https://doi.org/10.1016/j.ijdrr.2015.10.002">[Crossref] 

  3. Bastaminia, A., Rezaei, M. R., & Dastoorpoor, M. (2017). Identification and evaluation of the components and factors affecting social and economic resilience in city of Rudbar, Iran. International Journal of Disaster Risk Reduction, 22, 269-280. 

  4. Basumatari, D., Borah, N. P., Das, R., Burnwal, R., Eranki, S., & Sidhartha, K. (2023). Effect of Natural Disasters in North Eastern Region of India—A Review. Paper presented at the Fifth World Congress on Disaster Management: Volume V: Proceedings of the International Conference on Disaster Management, November 24-27, 2021, New Delhi, India.

  5. Chiu, W.-Y., Tzeng, G.-H., & Li, H.-L. (2013). A new hybrid MCDM model combining DANP with VIKOR to improve e-store business. Knowledge-Based Systems, 37, 48-61. https://doi.org/10.1016/j.knosys.2012.06.017">[Crossref]

  6. Eraydin, A. (2013). “Resilience Thinking” for Planning. In A. Eraydin & T. Taşan-Kok (Eds.), Resilience Thinking in Urban Planning (pp. 17-37). Dordrecht: Springer Netherlands.

  7. Figueiredo, L., Honiden, T., & Schumann, A. (2018). OECD regional development working papers 2018/02-Indicators for resilient cities. 

  8. Hambati, H., & Yengoh, G. T. (2018). Community resilience to natural disasters in the informal settlements in Mwanza City, Tanzania. Journal of Environmental Planning and Management, 61(10), 1758-1788. https://doi.org/10.1080/09640568.2017.1372274">[Crossref] 

  9. Hishan, S. S., Ramakrishnan, S., Mansor, N. N. b. A., Rahim, R., Chuan, L. T., Mahmood, A., & Beri, N. (2021). Understanding disaster risk and development of resilience as one of the fundamental drivers of sustainable development in India with special reference to supercyclone Amphan. International Journal of Disaster Risk Reduction, 62, 102339. https://doi.org/10.1016/j.ijdrr.2021.102339">[Crossref] 

  10. Hsieh, H.-N., Chen, J.-F., & Do, Q. H. (2017). A creative research based on DANP and TRIZ for an innovative cover shape design of machine tools. Journal of Engineering Design, 28(2), 77-99. [Crossref] 

  11. Javadpoor, M., Sharifi, A., & Roosta, M. (2021). An adaptation of the Baseline Resilience Indicators for Communities (BRIC) for assessing resilience of Iranian provinces. International Journal of Disaster Risk Reduction, 66, 102609. https://doi.org/10.1016/j.ijdrr.2021.102609">[Crossref] 

  12. Liu, H.-C., You, J.-X., Zhen, L., & Fan, X.-J. (2014). A novel hybrid multiple criteria decision making model for material selection with target-based criteria. Materials & Design, 60, 380-390. https://doi.org/10.1016/j.matdes.2014.03.071">[Crossref] 

  13. Lu, H., Lu, X., Jiao, L., & Zhang, Y. (2022). Evaluating urban agglomeration resilience to disaster in the Yangtze Delta city group in China. Sustainable Cities and Society, 76, 103464. https://doi.org/10.1016/j.scs.2021.103464">[Crossref] 

  14. Mavhura, E., Manyangadze, T., & Aryal, K. R. (2021). A composite inherent resilience index for Zimbabwe: An adaptation of the disaster resilience of place model. International Journal of Disaster Risk Reduction, 57, 102152. https://doi.org/10.1016/j.ijdrr.2021.102152">[Crossref] 

  15. McBean, G., & Ajibade, I. (2009). Climate change, related hazards and human settlements. Current Opinion in Environmental Sustainability, 1(2), 179-186. https://doi.org/10.1016/j.cosust.2009.10.006">[Crossref] 

  16. Nekhay, O., Arriaza, M., & Boerboom, L. (2009). Evaluation of soil erosion risk using Analytic Network Process and GIS: A case study from Spanish mountain olive plantations. Journal of Environmental Management, 90(10), 3091-3104. https://doi.org/10.1016/j.jenvman.2009.04.022">[Crossref]

  17. Panda, S., Mishra, S. P., & Mishra, S. (2020). Disaster Risk Reduction with Resilient Built Environment in Odisha coast, India. J. Xidian Technol., 14, 6024-6038. 

  18. Quezada, L. E., López-Ospina, H. A., Palominos, P. I., & Oddershede, A. M. (2018). Identifying causal relationships in strategy maps using ANP and DEMATEL. Computers & Industrial Engineering, 118, 170-179. https://doi.org/10.1016/j.cie.2018.02.020">[Crossref] 

  19. Raiesian, M., Ilanloo, M., Ebrahimi, L., & Bozorgmehr, K. (2020). Comprehensive analysis of urban resilience in the face of earthquake risk (Case study: Sari city). Environmental Management Hazards, 7(4), 383-400. https://doi.org/10.22059/jhsci.2021.312902.608">[Crossref] 

  20. Ribeiro, P. J. G., & Pena Jardim Gonçalves, L. A. (2019). Urban resilience: A conceptual framework. Sustainable Cities and Society, 50, 101625. https://doi.org/10.1016/j.scs.2019.101625">[Crossref] 

  21. 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, 311–330. https://doi.org/10.1016/j.ijdrr.2018.05.01">[Crossref] 

  22. Şener, Ş., Sener, E., & Karagüzel, R. (2011). Solid waste disposal site selection with GIS and AHP methodology: a case study in Senirkent–Uluborlu (Isparta) Basin, Turkey. Environmental Monitoring and Assessment, 173(1), 533-554. https://doi.org/10.1007/s10661-010-1403-x">[Crossref[ 

  23. Serdar, M. Z., Koç, M., & Al-Ghamdi, S. G. (2022). Urban Transportation Networks Resilience: Indicators, Disturbances, and Assessment Methods. Sustainable Cities and Society, 76, 103452. https://doi.org/10.1016/j.scs.2021.103452">[Crossref] 

  24. Uygun, Ö., Kaçamak, H., & Kahraman, Ü. A. (2015). An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company. Computers & Industrial Engineering, 86, 137-146. https://doi.org/10.1016/j.cie.2014.09.014">[Crossref] 

  25. VanLandingham, M., Bui, B., Abramson, D., Friedman, S., & Cisneros, R. (2022). Health and Mortality Consequences of Natural Disasters. In L. M. Hunter, C. Gray, & J. Véron (Eds.), International Handbook of Population and Environment (pp. 331-345). Cham: Springer International Publishing.

  26. Vu, B. D., Nguyen, H. T., Dinh, H.-V. T., Nguyen, Q.-A. N., & Ha, X. V. (2023). Natural Disaster Prevention Literacy Education among Vietnamese High School Students. Education Sciences, 13(3), 262. 

  27. Wang, L., Yang, M., Pathan, Z. H., Salam, S., Shahzad, K., & Zeng, J. (2018). Analysis of Influencing Factors of Big Data Adoption in Chinese Enterprises Using DANP Technique. Sustainability, 10(11), 3956. 

  28. Winderl, T. (2014). Disaster resilience measurements: stocktaking of ongoing efforts in developing systems for measuring resilience: United nations development programme.

  29. Wu, H.-H., & Chang, S.-Y. (2015). A case study of using DEMATEL method to identify critical factors in green supply chain management. Applied Mathematics and Computation, 256, 394-403. https://doi.org/10.1016/j.amc.2015.01.041">[Crossref] 

  30. Yang, J. L., & Tzeng, G.-H. (2011). An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method. Expert Systems with Applications, 38(3), 1417-1424. https://doi.org/10.1016/j.eswa.2010.07.048">[Crossref] 

  31. Yang, Y.-P. O., Shieh, H.-M., Leu, J.-D., & Tzeng, G.-H. (2008). A novel hybrid MCDM model combined with DEMATEL and ANP with applications. International journal of operations research, 5(3), 160-168. 

  32. Zelenović Vasiljević, T., Srdjević, Z., Bajčetić, R., & Vojinović Miloradov, M. (2012). GIS and the analytic hierarchy process for regional landfill site selection in transitional countries: a case study from Serbia. Environ Manage, 49(2), 445-458. https://doi.org/10.1007/s00267-011-9792-3">[Crossref] 

  33. Zhao, R., Fang, C., Liu, J., & Zhang, L. (2022). The evaluation and obstacle analysis of urban resilience from the multidimensional perspective in Chinese cities. Sustainable Cities and Society, 86, 104160. https://doi.org/10.1016/j.scs.2022.104160">[Crossref] 


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