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Spatial Modelling of Urban Physical Vulnerability to Explosion Hazards Using GIS and Fuzzy MCDA

Author

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  • Yasser Ebrahimian Ghajari

    (GIS Department, Malek Ashtar University of Technology, Tehran 15875-1774, Iran)

  • Ali Asghar Alesheikh

    (GIS Department, Khaje Nasiroddin Toosi University of Technology, Tehran 19967-15433, Iran)

  • Mahdi Modiri

    (GIS Department, Malek Ashtar University of Technology, Tehran 15875-1774, Iran)

  • Reza Hosnavi

    (GIS Department, Malek Ashtar University of Technology, Tehran 15875-1774, Iran)

  • Morteza Abbasi

    (GIS Department, Malek Ashtar University of Technology, Tehran 15875-1774, Iran)

Abstract

Most of the world’s population is concentrated in accumulated spaces in the form of cities, making the concept of urban planning a significant issue for consideration by decision makers. Urban vulnerability is a major issue which arises in urban management, and is simply defined as how vulnerable various structures in a city are to different hazards. Reducing urban vulnerability and enhancing resilience are considered to be essential steps towards achieving urban sustainability. To date, a vast body of literature has focused on investigating urban systems’ vulnerabilities with regard to natural hazards. However, less attention has been paid to vulnerabilities resulting from man-made hazards. This study proposes to investigate the physical vulnerability of buildings in District 6 of Tehran, Iran, with respect to intentional explosion hazards. A total of 14 vulnerability criteria are identified according to the opinions of various experts, and standard maps for each of these criteria have been generated in a GIS environment. Ultimately, an ordered weighted averaging (OWA) technique was applied to generate vulnerability maps for different risk conditions. The results of the present study indicate that only about 25 percent of buildings in the study area have a low level of vulnerability under moderate risk conditions. Sensitivity analysis further illustrates the robustness of the results obtained. Finally, the paper concludes by arguing that local authorities must focus more on risk-reduction techniques in order to reduce physical vulnerability and achieve urban sustainability.

Suggested Citation

  • Yasser Ebrahimian Ghajari & Ali Asghar Alesheikh & Mahdi Modiri & Reza Hosnavi & Morteza Abbasi, 2017. "Spatial Modelling of Urban Physical Vulnerability to Explosion Hazards Using GIS and Fuzzy MCDA," Sustainability, MDPI, vol. 9(7), pages 1-29, July.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:7:p:1274-:d:105191
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    References listed on IDEAS

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    2. Sandra L. Cobos-Mora & José Guamán-Aucapiña & Jonathan Zúñiga-Ruiz, 2023. "Suitable site selection for transfer stations in a solid waste management system using analytical hierarchy process as a multi-criteria decision analysis: a case study in Azuay-Ecuador," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1944-1977, February.
    3. Gricelda Herrera-Franco & F. Javier Montalván & Andrés Velastegui-Montoya & Jhon Caicedo-Potosí, 2022. "Vulnerability in a Populated Coastal Zone and Its Influence by Oil Wells in Santa Elena, Ecuador," Resources, MDPI, vol. 11(8), pages 1-18, July.
    4. Ramezani, Abouzar & Malek, MohammadReza & Sahami, Habib & Hosnavi, Reza, 2018. "Developing a spatial methodology to reduce the vulnerability of critical infrastructures against intelligent air-based threats," International Journal of Critical Infrastructure Protection, Elsevier, vol. 23(C), pages 126-138.
    5. Seyed Mohammad Haghighi Fard & Naciye Doratli, 2022. "Evaluation of Resilience in Historic Urban Areas by Combining Multi-Criteria Decision-Making System and GIS, with Sustainability and Regeneration Approach: The Case Study of Tehran (IRAN)," Sustainability, MDPI, vol. 14(5), pages 1-21, February.
    6. Andrzej Biłozor & Szymon Czyża & Tomasz Bajerowski, 2019. "Identification and Location of a Transitional Zone between an Urban and a Rural Area Using Fuzzy Set Theory, CLC, and HRL Data," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    7. Karim Solaimani & Fatemeh Shokrian & Shadman Darvishi, 2023. "An Assessment of the Integrated Multi-Criteria and New Models Efficiency in Watershed Flood Mapping," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 403-425, January.
    8. Ghazaleh Ahmadi & Reza Tavakkoli-Moghaddam & Armand Baboli & Mehdi Najafi, 2022. "A decision support model for robust allocation and routing of search and rescue resources after earthquake: a case study," Operational Research, Springer, vol. 22(2), pages 1039-1081, April.
    9. Mrówczyńska, M. & Skiba, M. & Sztubecka, M. & Bazan-Krzywoszańska, A. & Kazak, J.K. & Gajownik, P., 2021. "Scenarios as a tool supporting decisions in urban energy policy: The analysis using fuzzy logic, multi-criteria analysis and GIS tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).

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