IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i8p1936-d1128065.html
   My bibliography  Save this article

Evaluating Natural Hazards in Cities Using a Novel Integrated MCDM Approach (Case Study: Tehran City)

Author

Listed:
  • Mahdi Bitarafan

    (International Institute of Earthquake Engineering and Seismology (IIEES), Tehran 19537-14453, Iran)

  • Kambod Amini Hosseini

    (International Institute of Earthquake Engineering and Seismology (IIEES), Tehran 19537-14453, Iran)

  • Sarfaraz Hashemkhani Zolfani

    (School of Engineering, Universidad Catolica del Norte, Larrondo 1281, Coquimbo 1780000, Chile)

Abstract

Tehran, the capital of Iran, is the largest and most populous city in Iran, which is of great importance due to its large population and abundant infrastructure. One of the most critical issues in this city is its need for resilience against all kinds of threats, including natural hazards, because its development was not based on territorial geography. In other words, in developing this 700 square kilometer area, attention has yet to be paid to its different zones. Different zones include the mountains, Shemiranat’s alluvial cone area, the Tehran plain, etc. Main and minor faults, surface and underground water resources of the land, differences in formations between various parts of the land, the microclimate of the land in its multiple aspects, local and synoptic air currents, etc., have not been influential in urban development. The most crucial goal of this study is to identify and screen natural hazards in Tehran to improve this city’s resilience by introducing a novel integrated MCDM method based on ANP and The Combined Compromise Solution method with Maximum Variance (MV-CoCoSo). Therefore, to increase the strength of Tehran against these disasters, the natural hazards of Tehran must first be identified and ranked. In this regard, practical criteria for evaluating Tehran’s resilience were identified using library resources and the formation of expert groups. Then, using the ANP method, the comparative weightings of these effective criteria was investigated. Based on the results obtained, the disaster consequence criterion had the highest importance with a weight of 0.4361, followed by the disaster severity scale criterion with a weight of 0.2371, and the secondary threat possibility criterion (with a weight of 0.1232) was ranked third. Finally, using the MV-CoCoSo method, the natural hazards of Tehran city were classified based on the evaluated criteria. Tehran City’s three significant disasters were earthquakes, floods, and landslides. In addition, two experiments were designed to assess the robustness of the research methodology.

Suggested Citation

  • Mahdi Bitarafan & Kambod Amini Hosseini & Sarfaraz Hashemkhani Zolfani, 2023. "Evaluating Natural Hazards in Cities Using a Novel Integrated MCDM Approach (Case Study: Tehran City)," Mathematics, MDPI, vol. 11(8), pages 1-18, April.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1936-:d:1128065
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/8/1936/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/8/1936/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas L. Saaty & Luis G. Vargas, 2006. "Decision Making with the Analytic Network Process," International Series in Operations Research and Management Science, Springer, number 978-0-387-33987-0, September.
    2. Amin Salehpour Jam & Jamal Mosaffaie & Faramarz Sarfaraz & Samad Shadfar & Rouhangiz Akhtari, 2021. "GIS-based landslide susceptibility mapping using hybrid MCDM models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 1025-1046, August.
    3. Toya, Hideki & Skidmore, Mark, 2007. "Economic development and the impacts of natural disasters," Economics Letters, Elsevier, vol. 94(1), pages 20-25, January.
    4. Zohre Hoseinzade & Asal Zavarei & Kourosh Shirani, 2021. "Application of prediction–area plot in the assessment of MCDM methods through VIKOR, PROMETHEE II, and permutation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(3), pages 2489-2507, December.
    5. J. C. J. H. Aerts & W. J. Botzen & K. C. Clarke & S. L. Cutter & J. W. Hall & B. Merz & E. Michel-Kerjan & J. Mysiak & S. Surminski & H. Kunreuther, 2018. "Integrating human behaviour dynamics into flood disaster risk assessment," Nature Climate Change, Nature, vol. 8(3), pages 193-199, March.
    6. Thomas L. Saaty, 2006. "The Analytic Network Process," International Series in Operations Research & Management Science, in: Decision Making with the Analytic Network Process, chapter 0, pages 1-26, Springer.
    7. Michalis I. Vousdoukas & Lorenzo Mentaschi & Evangelos Voukouvalas & Alessandra Bianchi & Francesco Dottori & Luc Feyen, 2018. "Climatic and socioeconomic controls of future coastal flood risk in Europe," Nature Climate Change, Nature, vol. 8(9), pages 776-780, September.
    8. Philip J. Ward & Brenden Jongman & Peter Salamon & Alanna Simpson & Paul Bates & Tom De Groeve & Sanne Muis & Erin Coughlan de Perez & Roberto Rudari & Mark A. Trigg & Hessel C. Winsemius, 2015. "Usefulness and limitations of global flood risk models," Nature Climate Change, Nature, vol. 5(8), pages 712-715, August.
    9. Morteza Yazdani & Pascale Zaraté & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2019. "A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems," Post-Print hal-02879091, HAL.
    10. Abdulwaheed Tella & Abdul-Lateef Balogun, 2020. "Ensemble fuzzy MCDM for spatial assessment of flood susceptibility in Ibadan, Nigeria," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2277-2306, December.
    11. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohammed J. F. Alenazi, 2023. "ENRN: A System for Evaluating Network Resilience against Natural Disasters," Mathematics, MDPI, vol. 11(20), pages 1-23, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Babak Daneshvar Rouyendegh & Kazim Topuz & Ali Dag & Asil Oztekin, 2019. "An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites," Information Systems Frontiers, Springer, vol. 21(6), pages 1345-1355, December.
    2. Mohammad Khalilzadeh & Laleh Katoueizadeh & Edmundas Kazimieras Zavadskas, 2020. "Risk identification and prioritization in banking projects of payment service provider companies: an empirical study," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-27, December.
    3. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Ali Aghazadeh Ardebili & Elio Padoano & Antonella Longo & Antonio Ficarella, 2022. "The Risky-Opportunity Analysis Method (ROAM) to Support Risk-Based Decisions in a Case-Study of Critical Infrastructure Digitization," Risks, MDPI, vol. 10(3), pages 1-22, February.
    5. Ester Guijarro & Cristina Santadreu-Mascarell & Beatriz Blasco-Gallego & Lourdes Canós-Darós & Eugenia Babiloni, 2021. "On the Identification of the Key Factors for a Successful Use of Twitter as a Medium from a Social Marketing Perspective," Sustainability, MDPI, vol. 13(12), pages 1-15, June.
    6. Babak Daneshvar Rouyendegh & Asil Oztekin & Joseph Ekong & Ali Dag, 2019. "Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach," Annals of Operations Research, Springer, vol. 278(1), pages 361-378, July.
    7. Clara Champalle & James D. Ford & Mya Sherman, 2015. "Prioritizing Climate Change Adaptations in Canadian Arctic Communities," Sustainability, MDPI, vol. 7(7), pages 1-25, July.
    8. Afsaneh Afzali & Soheil Sabri & M. Rashid & Jamal Mohammad Vali Samani & Ahmad Ludin, 2014. "Inter-Municipal Landfill Site Selection Using Analytic Network Process," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2179-2194, June.
    9. Baffoe, Gideon, 2019. "Exploring the utility of Analytic Hierarchy Process (AHP) in ranking livelihood activities for effective and sustainable rural development interventions in developing countries," Evaluation and Program Planning, Elsevier, vol. 72(C), pages 197-204.
    10. Sedigheh Meimandi Parizi & Mohammad Taleai & Ayyoob Sharifi, 2022. "A GIS-Based Multi-Criteria Analysis Framework to Evaluate Urban Physical Resilience against Earthquakes," Sustainability, MDPI, vol. 14(9), pages 1-31, April.
    11. Nikola Kadoić & Nina Begičević Ređep & Blaženka Divjak, 2018. "A new method for strategic decision-making in higher education," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(3), pages 611-628, September.
    12. Zhi Wen & Huchang Liao & Ruxue Ren & Chunguang Bai & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene & Abdullah Al-Barakati, 2019. "Cold Chain Logistics Management of Medicine with an Integrated Multi-Criteria Decision-Making Method," IJERPH, MDPI, vol. 16(23), pages 1-21, December.
    13. Idris Bello Yamusa & Mohd Suhaili Ismail & Abdulwaheed Tella, 2022. "Highway Proneness Appraisal to Landslides along Taiping to Ipoh Segment Malaysia, Using MCDM and GIS Techniques," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    14. Chi-Yo Huang & Pei-Han Chung & Joseph Z. Shyu & Yao-Hua Ho & Chao-Hsin Wu & Ming-Che Lee & Ming-Jenn Wu, 2018. "Evaluation and Selection of Materials for Particulate Matter MEMS Sensors by Using Hybrid MCDM Methods," Sustainability, MDPI, vol. 10(10), pages 1-35, September.
    15. Oryani, Bahareh & Koo, Yoonmo & Rezania, Shahabaldin & Shafiee, Afsaneh, 2021. "Barriers to renewable energy technologies penetration: Perspective in Iran," Renewable Energy, Elsevier, vol. 174(C), pages 971-983.
    16. Ravi Kumar Gedela & K. Krishna Mohan & V. Kamakshi Prasad, 2018. "Application of BOCR models in service oriented architecture (SOA): study on model validation through quantification for QoS considerations," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(6), pages 1346-1354, December.
    17. Roberto Cervelló-Royo & Marina Segura & Regina García-Pérez & Baldomero Segura-García del Río, 2021. "An Analysis of Preferences in Housing Demand by Means of a Multicriteria Methodology (AHP). A More Sustainable Approach," Sustainability, MDPI, vol. 13(14), pages 1-16, July.
    18. Jing-Wei Liu & Che-Wei Chang & Yao-Ji Wang & Yi-Hui Liu, 2022. "Constructing a Decision Model for Health Club Members to Purchase Coaching Programs during the COVID-19 Epidemic," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    19. Patricija Bajec & Danijela Tuljak-Suban, 2022. "A Strategic Approach for Promoting Sustainable Crowdshipping in Last-Mile Deliveries," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    20. Cui, Yongfeng & Liu, Wei & Rani, Pratibha & Alrasheedi, Melfi, 2021. "Internet of Things (IoT) adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector," Technological Forecasting and Social Change, Elsevier, vol. 171(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1936-:d:1128065. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.