Identification and assessment of man-made threats to cities using integrated Grey BWM- Grey MARCOS method




Man-made threats, Cities, Grey theory, Infrastructures, Multiple-criteria decision-making, BWM, MARCOS


Identifying and evaluating any threat against the critical infrastructures, including history, methods, abilities, and motivations, is essential for crisis management and cities' passive defense. Threats, including natural and unnatural (man-made), are directed at cities' critical assets and infrastructures. Essential assets are considered valuable components, so the slightest malfunction or damage to the body causes damage to the system. This study uses Tehran, the capital of Iran, as a case study to identify and assess man-made dangers to cities and their vital resources. This work creates an innovative integrated MCDM approach that can handle information ambiguity in crisis management.  Therefore, at this stage of identifying man-made threats, library methods and interviews with experts were used, and multi-criteria decision-making techniques were implemented. Moreover, this research benefits from the grey Best-Worst method (BWM) to evaluate the research criteria and grey Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) to rank the threats. The research findings indicated that the three main threats to Tehran city are cyber, military, and terrorist attacks. Finally, a sensitivity analysis based on two practical experiments is done, and research results are verified.


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Abdullahi, S., Pradhan, B., & Jebur, M. N. (2015). GIS-based sustainable city compactness assessment using integration of MCDM, Bayes theorem and RADAR technology. Geocarto International, 30(4), 365–387.

Aslani, B., Rabiee, M., & Tavana, M. (2021). An integrated information fusion and grey multi-criteria decision-making framework for sustainable supplier selection. International Journal of Systems Science: Operations & Logistics, 8(4), 348–370.

Badi, I., & Pamucar, D. (2020). Supplier selection for steelmaking company by using combined Grey-Marcos methods. Decision Making: Applications in Management and Engineering, 3(2), 37–48.

Badi, I., Pamučar, D., Stević, Ž., & Muhammad, L. J. (2023). Wind farm site selection using BWM-AHP-MARCOS method: A case study of Libya. Scientific African, 19, e01511.

Balali, A., Valipour, A., Edwards, R., & Moehler, R. (2021). Ranking effective risks on human resources threats in natural gas supply projects using ANP-COPRAS method: Case study of Shiraz. Reliability Engineering & System Safety, 208, 107442.

Balouei Jamkhaneh, H., Shahin, R., & Tortorella, G. L. (2022). Analysis of Logistics 4.0 service quality and its sustainability enabler scenarios in emerging economy. Cleaner Logistics and Supply Chain, 4, 100053.

Brodny, J., & Tutak, M. (2023). Assessing the Energy and Climate Sustainability of European Union Member States: An MCDM-Based Approach. Smart Cities, 6(1), 339–367.

Cui, P., Peng, J., Shi, P., Tang, H., Ouyang, C., Zou, Q., Liu, L., Li, C., & Lei, Y. (2021). Scientific challenges of research on natural hazards and disaster risk. Geography and Sustainability, 2(3), 216–223.

da Silva Borges Barbosa, V., Mota de Lima, H., & Fonseca, B. M. (2022). Assessing risks of abandoned urban mines in the UNESCO World Heritage City of Ouro Preto, Brazil. Applied Geography, 139, 102648.

Haghir, S., Haghnazar, R., Saghafi Moghaddam, S., Keramat, D., Matini, M. R., & Taghizade, K. (2021). BIM based decision-support tool for automating design to fabrication process of freeform lattice space structure. International Journal of Space Structures, 36(3), 164–179.

Haque, A., & Fatema, K. (2022). Disaster risk reduction for whom? The gap between centrally planned Disaster Management Program and people’s risk perception and adaptation. International Journal of Disaster Risk Reduction, 82, 103229.

Hasheminasab, H., Streimikiene, D., & Pishahang, M. (2023). A novel energy poverty evaluation: Study of the European Union countries. Energy, 264, 126157.

Hosseini Dehshiri, S. S., & Firoozabadi, B. (2022). A new application of measurement of alternatives and ranking according to compromise solution (MARCOS) in solar site location for electricity and hydrogen production: A case study in the southern climate of Iran. Energy, 261, 125376.

Hosseini Dehshiri, S. S., & Firoozabadi, B. (2023). A new multi-criteria decision making approach based on wins in league to avoid rank reversal: A case study on prioritizing environmental deterioration strategies in arid urban areas. Journal of Cleaner Production, 383, 135438.

Jalali Farahani, G. R. (2013a). An introduction to the method and model of threat estimation in passive defense. Imam Hossein University.

Jalali Farahani, G. R. (2013b). An introduction to the method and model of threat estimation in passive defense. Imam Hossein University. (in Persian).

Jamali, A., Robati, M., Nikoomaram, H., Farsad, F., & Aghamohammadi, H. (2023). Urban Resilience Assessment Using Hybrid MCDM Model Based on DEMATEL-ANP Method (DANP). SSRN Electronic Journal.

Javari, M., Saghaei, M., & Fadaei Jazi, F. (2021). Analyzing the resilience of urban settlements using multiple-criteria decision-making (MCDM) models (case study: Malayer city). Sustainable Environment, 7(1).

Li, G.-D., Yamaguchi, D., & Nagai, M. (2007). A grey-based decision-making approach to the supplier selection problem. Mathematical and Computer Modelling, 46(3–4), 573–581.

Liu, S., Fang, Z., Yang, Y., & Forrest, J. (2012). General grey numbers and their operations. Grey Systems: Theory and Application, 2(3), 341–349.

Lyu, H.-M., & Yin, Z.-Y. (2023). An improved MCDM combined with GIS for risk assessment of multi-hazards in Hong Kong. Sustainable Cities and Society, 91, 104427.

Mahmoudi, A., Mi, X., Liao, H., Feylizadeh, M. R., & Turskis, Z. (2020). Grey Best-Worst Method for Multiple Experts Multiple Criteria Decision Making Under Uncertainty. Informatica, 331–357.

Mesri Alamdari, P., & Khairizade Arogh, M. (2020). Assessing the seismic vulnerability of urban spaces by applying the catastrophe theory (case: Varzeghan city). Geography and Environmental Hazards, 9(3), 99–123.

Modiri, M., Nosrati, S., & Karimi Shirazi, H. (2015). Crisis management planning in urban management with a passive defense approach and using SWOT or MCDM techniques. Emergency Management, 4(94), 5–14.

Pal, I., Shaw, R., Tom, I., Oda, T., Yonariza, Kumar, A., & Bharadwaz, G. S. V. S. A. (2023). Science and Technology for Multi-hazard Vulnerability, Climate Change and Resilience Building (pp. 1–14).

Park, H. (2011). Man-made disasters: A cross-national analysis. International Business Review, 20(4), 466–476.

Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.

Rastegar, R. M., Moghaddam, S. S., Haghnazar, R., & Zimring, C. (2021). “TAL-CAT” a Computer-Aided Tool Prototype to Quantify User Experience in Design Workflow: A Case Study of Teamwork Assessment in Primary Care Clinics. Blucher Design Proceedings, 147–160.

Rastegar, R. M., Saghafi Moghaddam, S., Haghnazar, R., & Zimring, C. (2022). From evidence to assessment: Developing a scenario-based computational design algorithm to support informed decision-making in primary care clinic design workflow. International Journal of Architectural Computing, 20(3), 567–586.

Saha, A., Pamucar, D., Gorcun, O. F., & Raj Mishra, A. (2023). Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach. Expert Systems with Applications, 211, 118497.

Salehi, V., Zarei, H., Shirali, Gh. A., & Hajizadeh, K. (2020). An entropy-based TOPSIS approach for analyzing and assessing crisis management systems in petrochemical industries. Journal of Loss Prevention in the Process Industries, 67, 104241.

Shaw, R., & A. (2016). Urban Disasters and Resilience in Asia. Elsevier.

Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, 106231.

Torkayesh, A. E., Hashemkhani Zolfani, S., Kahvand, M., & Khazaelpour, P. (2021). Landfill location selection for healthcare waste of urban areas using hybrid BWM-grey MARCOS model based on GIS. Sustainable Cities and Society, 67, 102712.

Turskis, Z., & Zavadskas, E. K. (2010). A Novel Method for Multiple Criteria Analysis: Grey Additive Ratio Assessment (ARAS-G) Method. Informatica, 21(4), 597–610.

Ulutaş, A., Topal, A., Pamučar, D., Stević, Ž., Karabašević, D., & Popović, G. (2022). A New Integrated Multi-Criteria Decision-Making Model for Sustainable Supplier Selection Based on a Novel Grey WISP and Grey BWM Methods. Sustainability, 14(24), 16921.

Vasileiou, K., Barnett, J., & Fraser, D. S. (2022). Integrating local and scientific knowledge in disaster risk reduction: A systematic review of motivations, processes, and outcomes. International Journal of Disaster Risk Reduction, 81, 103255.



How to Cite

Bitarafan , M., Amini Hosseini, K., & Zolfani, S. H. (2023). Identification and assessment of man-made threats to cities using integrated Grey BWM- Grey MARCOS method. Decision Making: Applications in Management and Engineering, 6(2), 581–599.