Barriers to Communications Facility Support in China: A Fuzzy DEMATEL Analysis from an Emergency Security Perspective
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Abstract
The importance of reliable communication infrastructure in emergencies, such as disaster relief and real-time decision-making, has become increasingly critical. However, traditional communication support systems often fall short in meeting real-world needs. This study uses the Fuzzy Decision-Making Trial and Evaluation Laboratory (fuzzy-DEMATEL) method to systematically analyze the complex interdependencies among key barriers, providing a comprehensive understanding of the root causes hindering emergency communication capabilities. The research identifies distinct critical factors, such as personnel, which has been underemphasized in existing literature, highlighting the crucial role of frontline staff in maintaining communication systems during crises. The paper also offers policy recommendations to enhance communication facility support, broadening the focus from equipment attributes to include broader systemic and environmental factors. Additionally, it advocates for full lifecycle management of communication facilities, from design and planning to maintenance, in order to improve emergency preparedness. The findings provide valuable insights for policymakers and lay the groundwork for future research aimed at refining emergency communication frameworks, particularly in the context of technological advancements and evolving disaster scenarios.
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References
Lauge, A.; Hernantes, J.; Sarriegi, J.M. Critical infrastructure dependencies: A holistic, dynamic and quantitative approach. Int. J. Crit. Infrastruct. Prot. 2015, 8, 16–23.
Walp, R.R.; Ulemma, M.; Michel, M.M. Economic engineering for improving access to the worldwide telecommunications network. IEEE Commun. Mag. 2009, 47, 180–185.
Huntsberger, M.W. Attempting an affirmative approach to American broadcasting: Ideology, politics, and the public telecommunications facilities program. J. Mass Commun. Q. 2014, 91, 756–771.
Zhou, B.X.; Gao, D.Q.; Yan, L.C.A.; Cao, J.P.; Zhang, S.X.; Zhang, Y.Y. Research on key technologies for fault knowledge acquisition of power communication equipment. Procedia Comput. Sci. 2021, 183, 479–485.
Chen, X.Y. Telecommunications market and regulation in India and Ireland. China Commun. 2008, 5, 83–87.
Chen, L.; Gong, G. Communication system security; CRC Press: Boca Raton, FL, USA, 2012.
Cooper, J.A.; Johnston, A.M. Computer and communications security. In Computers, Software Engineering, and Digital Devices; CRC Press: Boca Raton, FL, USA, 2018; pp. 19–31.
Ilbeigi, M.; Morteza, A.; Ehsani, R. An infrastructure-less emergency communication system: A blockchain-based framework. J. Comput. Civ. Eng. 2022, 36, 04021041.
Fan, Z.F.; Tian, Y.Y.; Lang, L.M.; Huang, D.; Xu, H.H.; Yu, H.H.; Zhang, H.Z. Establishment of emergency decision index system for unconventional emergency communications support - Based on fuzzy data envelopment analysis. In Proceedings of the 6th International Symposium on Project Management (ISPM2018), Chongqing, China, 2018; pp. 928–934.
Shan, S.Q.; Wang, L.; Li, L.; Chen, Y. An emergency response decision support system framework for application in e-government. Inf. Technol. Manag. 2012, 13, 411–427.
He, S.; Tan, X.C.; Zhong, Y.F.; Huang, M.; Mei, Z.Y.; Wan, Y.; Wang, H.M. Evolutionary PSO-based emergency monitoring geospatial edge service chain in the emergency communication network. Int. J. Digit. Earth 2023, 16, 2797–2817.
Mowll, R.; Becker, J.S.; Wotherspoon, L.; Stewart, C.; Johnston, D.; Neeley, D.; Rovins, J.; Ripley, S. Infrastructure planning emergency levels of service for the Wellington region, Aotearoa New Zealand-A preliminary framework. Int. J. Disaster Risk Reduct. 2022, 72, 102843.
Han, S.R.; Ren, L.C.; Shi, W.X.; Zhou, Q.Q.; Luo, J. Research on the impact of mobile commerce on earthquake relief management: the view of system dynamics. In Proceedings of the 2008 International Symposium on Intelligent Information Technology Applications, Adelaide, Australia, 2008; pp. 228–232.
Kobayashi, M. Experience of infrastructure damage caused by the Great East Japan Earthquake and countermeasures against future disasters. IEEE Commun. Mag. 2014, 52, 23–29.
Jing, F.; Zhao, H.Y.; Zhang, L.; Xu, D. Scheme design of emergency communication network based on wireless ad hoc network. In Proceedings of the 2016 6th International Conference on Machine, Material, Environment, Biotechnology and Computer (MMEBC), Harbin, China, 2016; pp. 417–420.
Andresen, S.A. In the heat of the moment: A local narrative of the responses to a fire in Laerdal, Norway. Int. J. Disaster Risk Reduct. 2017, 21, 27–34.
Liu, C.; Jayakar, K. The evolution of telecommunications policy-making: Comparative analysis of China and India. Telecommun. Policy 2012, 36, 13–28.
Govindan, K.; Kannan, D.; Shankar, M. Evaluation of green manufacturing practices using a hybrid MCDM model combining DANP with PROMETHEE. Int. J. Prod. Res. 2015, 53, 6344–6371.
Wu, W.W.; Lee, Y.T. Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Syst. Appl. 2007, 32, 499–507.
Tseng, M.L.; Wang, R.; Chiu, A.S.F.; Geng, Y.; Lin, Y.H. Improving performance of green innovation practices under uncertainty. J. Clean. Prod. 2013, 40, 71–82.
Ministry of Emergency Management (MEM), PRC. Specification of emergency command communication support capability construction (YJ/T 27-2024); Ministry of Emergency Management: Beijing, China, 2024.
Luo, W.H.; Shen, Z.Y.; Zhu, R.L.; Hu, X. Unveiling the influence of transparency in risk communication: Shifting from information disclosure to uncertainty reduction. Int. J. Disaster Risk Reduct. 2024, 104, 104376.
Grabowski, M.; Rizzo, C.; Graig, T. Data challenges in dynamic, large-scale resource allocation in remote regions. Saf. Sci. 2016, 87, 76–86.
Shim, Y.; Shin, D.H. Neo-techno nationalism: The case of China's handset industry. Telecommun. Policy 2016, 40, 197–209.
Zhou, K.; Wang, Q.C.; Tao, Y.Q.; Li, X.F. Information infrastructure construction and firm export performance in China. Res. Int. Bus. Finance 2024, 70, 102311.
Li, Z.Y.; Xie, S.S.; Wei, Z. The impact of China's new infrastructure development on urban innovation quality-A quasi-natural experiment of smart city pilots. Buildings 2024, 14, 548.
Markakis, E.K.; Politis, I.; Lykourgiotis, A.; Rebahi, Y.; Mastorakis, G.; Mavromoustakis, C.X.; Pallis, E. Efficient next generation emergency communications over multi-access edge computing. IEEE Commun. Mag. 2017, 55, 92–97.
International Telecommunication Union. Guidelines for national emergency telecommunications plan; ITU Development Sector: Geneva, Switzerland, 2020. Available online: https://www.itu.int/en/ITU-D/Projects/Pages/NETP-Guidelines.aspx.
Hu, Q.; Kapucu, N. Information communication technology utilization for effective emergency management networks. Public Manag. Rev. 2016, 18, 323–348.
Fan, Z.F.; Sun, H.; Wang, L.H. Research of the classification model based on dominance rough set approach for China emergency communication. Math. Probl. Eng. 2015, 2015, 428218.
Chandan, R.R.; Balobaid, A.; Cherukupalli, N.L.S.; H L, G.; Flammini, F.; Natarajan, R. Secure Modern Wireless Communication Network Based on Blockchain Technology. Electronics 2023, 12, 1095.
Kong, F. A short note on four different emergency management mechanisms in the Chinese government disaster response. J. Contingencies Crisis Manag. 2022, 30, 222–224.
Wolbers, J.; Boersma, K.; Groenewegen, P. Introducing a fragmentation perspective on coordination in crisis management. Organ. Stud. 2018, 39, 1521–1546.
Deepak, G.C.; Ladas, A.; Sambo, Y.A.; Pervaiz, H.; Politis, C.; Imran, M.A. An overview of post-disaster emergency communication systems in the future networks. IEEE Wirel. Commun. 2019, 26, 132–139.
Liu, J.D.; Song, Y.W.; An, S.; Dong, C.Q. How to improve the cooperation mechanism of emergency rescue and optimize the cooperation strategy in China: A tripartite evolutionary game model. Int. J. Environ. Res. Public Health 2022, 19, 1326.
Alsamhi, S.H.; Almalki, F.A.; AL-Dois, H.; Shvetsov, A.; Ansari, M.S.; Hawbani, A.; Gupta, S.K.; Lee, B. Multi-drone edge intelligence and SAR smart wearable devices for emergency communication. Wirel. Commun. Mob. Comput. 2021, 2021, 6710074.
Song, X.; Zhang, H.R.; Akerkar, R.; Huang, H.W.; Guo, S.; Zhong, L.; Ji, Y.S.; Opdahl, A.L.; Purohit, H.; Skupin, A. Big data and emergency management: Concepts, methodologies, and applications. IEEE Trans. Big Data 2022, 8, 397–419.
Liang, Z.L.; Li, Y.F. Holistic resilience and reliability measures for cellular telecommunication networks. Reliab. Eng. Syst. Saf. 2023, 237, 109335.
Zhao, L.; Liu, X.C.; Shang, T. Maximizing coverage in UAV-based emergency communication networks using deep reinforcement learning. Signal Process. 2025, 230, 109844.
Nguyen, V.; Nguyen, L.H.; Kuo, J.J.; Lin, P.C.; Hwang, R.H. Intelligent aerial relay deployment for enhancing connectivity in emergency communications. IEEE Trans. Veh. Technol. 2024, 73, 8782–8796.
Baker, P.M.A.; Moon, N.W. Wireless technologies and accessibility for people with disabilities: Findings from a policy research instrument. Assist. Technol. 2008, 20, 149–156.
Lombardi, P.; Hänsch, K.; Arendarski, B.; Komarnicki, P. Information and power terminals: A reliable microgrid infrastructure for use in disaster scenarios. Int. J. Crit. Infrastruct. Prot. 2017, 19, 49–58.
Manandhar, R.; Peters, E.J.; Swindell, B. Emergency risk communication: Implications from the 2019 Arkansas River floods. Int. J. Disaster Risk Reduct. 2025, 116, 105134.
Chen, M.Z.; Tao, Z.X.; Tang, W.T.; Qin, T.X.; Yang, R.; Zhu, C.L. Enhancing emergency decision-making with knowledge graphs and large language models. Int. J. Disaster Risk Reduct. 2024, 113, 104804.
Huang, L.; Yang, Q.Q.; Li, J.; Chen, J.; He, R.Y.; Zhang, C.; Chen, K.; Dong, S.G.; Liu, Y. Risk perception of heat waves and its spatial variation in Nanjing, China. Int. J. Biometeorol. 2018, 62, 783–794.
Chen, J.; Liu, M.; Zhang, W. Research on the Unbalanced Development of Urban-Rural Emergency Communication Technology. Mod. Sci. Technol. Telecommun. 2023, 53, 45–52.
Gabus, A.; Fontela, E. World problems, an invitation to further thought within the framework of DEMATEL; Battelle Geneva Research Centre: Geneva, Switzerland, 1972.
Li, D.F.; Wan, S.P. A fuzzy inhomogeneous multi-attribute group decision making approach to solve outsourcing provider selection problems. Knowl.-Based Syst. 2014, 67, 71–89.
Venkatesh, V.G.; Zhang, A.; Luthra, S.; Dubey, R.; Subramanian, N.; Mangla, S. Barriers to coastal shipping development: an Indian perspective. Transp. Res. Part D: Transp. Environ. 2017, 52, 362–378.
He, L.; Wu, Z.; Xiang, W.; Goh, M.; Xu, Z.; Song, W.; Ming, X.; Wu, X. A novel Kano-QFD-DEMATEL approach to optimise the risk resilience solution for sustainable supply chain. Int. J. Prod. Res. 2021, 59, 1714–1735.
Lin, R.J. Using fuzzy DEMATEL to evaluate the green supply chain management practices. J. Clean. Prod. 2013, 40, 32–39.
Farooque, M.; Zhang, A.; Liu, Y. Barriers to circular food supply chains in China. Supply Chain Manag.: Int. J. 2019, 24, 677–696.
Kumar, A.; Dixit, G. An analysis of barriers affecting the implementation of e-waste management practices in India: A novel ISM-DEMATEL approach. Sustain. Prod. Consum. 2018, 14, 36–52.
Bai, C.; Sarkis, J. A grey-based DEMATEL model for evaluating business process management critical success factors. Int. J. Prod. Econ. 2013, 146, 281–292.
Tseng, M.L.; Negash, Y.T.; Nagypál, N.C.; Iranmanesh, M.; Tan, R.R. A causal eco-industrial park hierarchical transition model with qualitative information: policy and regulatory framework leads to collaboration among firms. J. Environ. Manage. 2021, 292, 112735.
Liu, Y.; Wood, L.C.; Venkatesh, V.G.; Zhang, A.; Farooque, M. Barriers to sustainable food consumption and production in China: A fuzzy DEMATEL analysis from a circular economy perspective. Sustain. Prod. Consum. 2021, 28, 1114–1129.
Li, L.; Zhao, Z. Performance Test, Index System Establishment, and Comprehensive Evaluation of Earthquake Rescue Robots. Electronics 2024, 13, 1401.
Kaur, J.; Sidhu, R.; Awasthi, A.; Chauhan, S.; Goyal, S. A DEMATEL based approach for investigating barriers in green supply chain management in Canadian manufacturing firms. Int. J. Prod. Res. 2017, 56, 312–333.
Opricovic, S.; Tzeng, G.H. Defuzzification within a multicriteria decision model. Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 2003, 11, 635–652.
Li, C.W.; Tzeng, G.H. Identification of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall. Expert Syst. Appl. 2009, 36, 9891–9898.
Zhang, A.; Xie, S.; Gong, Y.; Li, C.; Liu, Y. Barriers to compulsory waste sorting for a circular economy in China. J. Environ. Manage. 2023, 342, 118180.
Grigaliūnas, Š.; Schmidt, M.; Brūzgienė, R.; Smyrli, P.; Andreou, S.; Lopata, A. Holistic Information Security Management and Compliance Framework. Electronics 2024, 13, 3955.
Mai, T.G.; Nguyen, M.; Ghobakhlou, A.; Yan, W.Q.; Chhun, B.; Nguyen, H. Decoding a decade: The evolution of artificial intelligence in security, communication, and maintenance within the construction industry. Autom. Constr. 2024, 165, 105522.
Londe, L.R.; Loose, E.B.; Marchezini, V.; Saito, S.M. Communication in the Brazilian civil defense system. Int. J. Disaster Risk Reduct. 2023, 95, 103869.
Sharma, A.; Bhushan, K. A comprehensive survey on IoT security: Challenges, security issues, and countermeasures. Comput. Sci. Rev. 2026, 59, 100839.
Aoudi, S.; Al-Aqrabi, H. Integrating IoT Security Practices into a Risk-Based Framework for Small and Medium Enterprises (SMEs). Comput. Stand. Interfaces 2025, 104099.