Fangfang Zhang and Wenbo ZhengThis email address is being protected from spambots. You need JavaScript enabled to view it.
School of Management, Shenyang Jianzhu University, Shenyang 110168, China.
Received: February 14, 2025 Accepted: August 13, 2025 Publication Date: August 25, 2025
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
This paper integrates resilience theory into the safety management of super-tall building projects, proposing an organizational resilience evaluation model enhanced by an improved fuzzy comprehensive evaluation method based on the cloud model. Empirical analysis is conducted on the ZHCT project in Suzhou and the JL office building project in Shenyang. The study reveals that: (1) Key indicators influencing organizational resilience in the safety management of super-tall building projects include robustness, efficiency, adaptability, and redundancy. (2) In the avoidance phase, the absorption phase after a safety incident, the response phase during the incident, and the recovery and optimization phase afterward, organizational resilience is influenced by various factors, including robustness, efficiency, adaptability and redundancy. (3) The organizational resilience of the JL office building project in Shenyang is higher than that of the ZHCT project in Suzhou. The ZHCT project exhibits stronger resilience during the avoidance phase, while its resilience in the absorption, response, recovery, and optimization phases is relatively low. In contrast, the JL project in Shenyang demonstrates higher resilience in the avoidance, absorption, recovery, and optimization phases, with resilience in the response phase being moderate. Based on these results, the paper provides relevant recommendations for the construction of super-tall buildings.
Keywords: Organizational resilience; Safety management; Super high-tall buildings; Improved fuzzy comprehensive evaluation method based on the cloud model
[1] H.Li,M.Lu,S.-C.Hsu,M.Gray,andT.Huang,(2015) “Proactive Behavior-Based Safety Management for Construction Safety Improvement" Safety science 75: 107–117. DOI: 10.1016/j.ssci.2015.01.013.
[2] Y. Zhu. “Research on Safety Management in Super-Tall Building Construction Projects". (mathesis). Lanzhou Jiaotong University, 2020. DOI: 10.27205/d.cnki.gltec.2020.000885.
[3] E. Hollnagel, D. D. Woods, and N. Leveson. Resilience Engineering: Concepts and Precepts. Ashgate Publishing, Ltd., 2006. DOI: 10.1136/qshc.2006.018390.
[4] C. P. Nemeth and I. Herrera. Building Change: Resilience Engineering After Ten Years. 2015. DOI: 10.1016/j.ress.2015.04.006.
[5] A. Linstädter, A. Kuhn, C. Naumann, S. Rasch, A. Sandhage-Hofmann, W. Amelung, J. Jordaan, C. C. Du Preez, and M. Bollig, (2016) “Assessing the Resilience of a Real-World Social-Ecological System: Lessons from a Multidisciplinary Evaluation of a South African Pastoral System" Ecology and Society 21(3): DOI: 10.5751/ES-08737-210335.
[6] G. A. Peñaloza, T. A. Saurin, and C. T. Formoso, (2020) “Monitoring Complexity and Resilience in Construction Projects: The Contribution of Safety Performance Measurement Systems" Applied ergonomics 82: 102978. DOI: 10.1016/j.apergo.2019.102978.
[7] Q. Guo, S. Amin, Q. Hao, and O. Haas, (2020) “Resilience Assessment of Safety System at Subway Construction Sites Applying Analytic Network Process and Extension Cloud Models" Reliability Engineering & System Safety 201: 106956. DOI: 10.1016/j.ress.2020.106956.
[8] M. Yang, (2023) “Research on Emergency Service Capacity Building of University Libraries from the Organizational Resilience Perspective" Journal of Academic Library & Information Science 41(2): DOI: 10.3969/j.issn.1006-1525.2023.02.003.
[9] Z. Huang, D. Zhang, K. Pitilakis, G. Tsinidis, H. Huang, D. Zhang, and S. Argyroudis, (2022) “Resilience Assessment of Tunnels: Framework and Applica tion for Tunnels in Alluvial Deposits Exposed to Seismic Hazard" 162: 107456. DOI: 10.1016/j.soildyn.2022.107456.
[10] L. Ma, C. Zhang, X. Liu, K. Fang, and Z. Liu, (2024) “Rapid emergency response resilience assessment of high way bridge networks under moderate earthquakes" Sustainability 16(13): 5491. DOI: 10.3390/su16135491.
[11] A. Ignatowicz, C. Tarrant, R. Mannion, D. El-Sawy, S. Conroy, and D. Lasserson, (2023) “Organizational resilience in healthcare: a review and descriptive narrative synthesis of approaches to resilience measurement and assessment in empirical studies" BMC Health Services Research 23(1): 376. DOI: 10.1186/s12913-023-09242 9.
[12] T. J. Nipa, S. Kermanshachi, and A. Pamidimukkala, (2023) “Identification of resilience dimensions in critical transportation infrastructure networks" Journal of Legal Affairs and Dispute Resolution in Engineering and Construction 15(2): 03122001. DOI: 10.1061/JLADAH.LADR-870.
[13] G. Prayag, (2023) “Tourism resilience in the “new nor mal”: Beyond jingle and jangle fallacies?" Journal of Hospitality and Tourism Management 54: 513–520. DOI: 10.1016/j.jhtm.2023.02.006.
[14] X. Chen, W. Lin, X. Huang, and F. Yang, (2023) “Fire Risk Assessment of Super High-Rise Buildings Based on Fuzzy Bayesian Networks" Safety and Environmental Engineering 30(6): 40–47. DOI: 10.13578/j.cnki.issn.1671-1556.20220382.
[15] H. Chen, Y. Mao, and R. Wang, (2024) “Safety Risk Prediction Model of High-Rise Building Construction Based on Key Physiological Index" Buildings 14(12): 3795. DOI: 10.3390/buildings14123795.
[16] R. Tu. “Risk Management of Super-High-Rise Projects with Prefabricated Structural Elements under the Sustain able Development Framework". (mathesis). Lanzhou Jiaotong University, 2024. DOI: 10.27205/d.cnki.gltec. 2024.001912.
[17] L.Wang,(2020) “Research on Human Factor Correlation in Super High-rise Construction Accidents Based on Improved HFACS" Smart City (23): 2. DOI: 10.19301/j.cnki.zncs.2020.23.030.
[18] T. Zamojski, (2023) “Humanization of European residential high-rise buildings by designing common zones" Przestrze´n i Forma (54): 31–54. DOI: 10.21005/pif.2023.54.B-02.
[19] Ö. N.Aslantamer and H. E. Ilgın, (2024) “Space Efficiency of Tall Buildings in Singapore" Applied Sciences 14(18): 8397. DOI: 10.3390/app14188397.
[20] L. Gao. “Research on the Human Factors Correlation of Super-Tall Building Construction Accidents Based on the Improved HFACS". (mathesis). Shandong University, 2021. DOI: 10.27272/d.cnki.gshdu.2021.006365.
[21] D.G.Yılmaz.“FireSafetyofTallBuildings:Approach in Design and Prevention”. In: Proceedings of the Inter national Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA. 5. 1. 2022, 206–216. DOI: 10.38027/iccaua2022en0215.
[22] A.Alkoud.“Investigating the Impact of Tall Building Or dinances (TBOs) on the Evolution of Ultra-Tall Buildings Typology: Case Studies in Chicago and Dubai". (phdthe sis). Illinois Institute of Technology, 2023.
[23] J. C. Vaz, S. L. Touma, L. C. Frota, E. Henriqson, P. C. De Almeida, L. D. V. Garotti, and O. E. M. A. Wambersie. “Human Factors and Resilience Engi neering Program for Safety Culture Enhancement”. In: Offshore Technology Conference Brasil. OTC. 2019, D021S016R003. DOI: 10.4043/29711-MS.
[24] D.Li,(1995) “Membership Cloud and Membership Cloud Generator" Computer research and development 32(6): 15–20. DOI: CNKI:SUN:JFYZ.0.1995-06-002.
[25] D. Li, C. Liu, Y. Du, and X. Han, (2004) “Uncertainty in Artificial Intelligence" Journal of Software 15(11): 1583–1594. DOI: CNKI:SUN:JFYZ.0.1995-06-002.
[26] H. Li and C. Guo, (2011) “Time Series Segmentation Aggregation Approximation Algorithm Based on Cloud Model" Control and Decision 26(10): 1525–1529. DOI: 10.13195/j.cd.2011.10.88.lihl.002.
[27] X. Li, Y. Ran, G. Zhang, and Y. He, (2020) “A failure mode and risk assessment method based on cloud model" Journal of Intelligent Manufacturing 31(6): 1339 1352. DOI: 10.1007/s10845-019-01513-9.
[28] D. He, B. Hu, W. Yao, L. Li, and H. Li, (2017) “A Method for Stability Grading Evaluation of Open-Pit Mine Slopes Based on Blockification and Cloud Model" Mining and Metallurgical Engineering 37(4): 6–10, 13. DOI: 10.3969/j.issn.0253-6099.2017.04.002.
[29] Y. Liu. “Research on Safety Risk Management in Urban Underground Comprehensive Pipe Gallery Construction". (phdthesis). Jiangxi University of Science and Technology, 2022. DOI: 10.27176/d.cnki.gnfyc.2022.000123.
[30] Z. Xu, Y. Zhang, and H. Su, (2014) “Application of Cloud Model-Based Fuzzy Comprehensive Evaluation Method in Risk Assessment" Journal of Safety and Environment 14(2): 4. DOI: j.issn.1009-6094.2014.02.016.
[31] Q. Zhang, Y. Zhang, and M. Zhong, (2014) “Multi-Level Fuzzy Comprehensive Evaluation of Seismic Risks Induced by Reservoirs Based on Cloud Model" Journal ofHydraulicEngineering45(1): 9. DOI: 10.13243/j.cnki.slxb.2014.0.
[32] J. Cheng, X. Yang, H. Wang, H. Li, X. Lin, and Y. Guo, (2022) “Evaluation of the Emergency Capability of Subway Shield Construction Based on Cloud Model" Sustainability 14(20): 13309. DOI: 10.3390/su142013309.
[33] D.-S. Guo, F.-Y. Meng, H.-N. Wu, X.-X. Yang, and Z. Liu, (2024) “Risk assessment of shield tunneling crossing buildings based on variable weight theory and cloud model" Tunnelling and Underground Space Technology 145: 105593. DOI: 10.1016/j.tust.2024.105593.
[34] X. Li, S. Meng, W. Sun, M. Yuan, X. Liu, Y. Nan, Y. Sun, D. Sun, J. Tao, J. Li, et al., (2025) “Research on the risk assessment of the green construction of hydraulic tunnels based on combination weighting–cloud model" Evolutionary Intelligence 18(3): 57. DOI: 10.1007/ s12065-025-01041-x.
[35] M. Zhong. “Multi-Level Fuzzy Comprehensive Evaluation of Seismic Risks Induced by Reservoirs Based on Association Rules and Cloud Model". (phdthesis). Huazhong University of Science and Technology, 2013. DOI: 10.7666/d.Y2434543.
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