An Integrated Resilience and Assessment Methodology Framework for Addressing Uncertainty in Highway Operation and Maintenance Systems
Publication: Journal of Construction Engineering and Management
Volume 150, Issue 12
Abstract
Highway operation and maintenance (O&M) systems exhibit characteristics of multisubsystem correlations and interactions among multiple disaster-causing factors over time. Traditional risk-centered approaches, which focus on postevent effects and causes, fail to address these challenges adequately. This study aims to devise a methodological framework that is multisubsystem and multifactor dynamic in nature, intended for assessing, analyzing, and enhancing the resilience of highway O&M systems. This framework comprises a qualitative component, utilizing fault tree analysis (FTA) to identify resilience factors within each subsystem, and a quantitative aspect, employing the improved human factors analysis and classification system (HFACS) and fuzzy dynamic Bayesian networks (FDBNs) for resilience assessment. Subsequently, a case study of the Shenyang-Dalian Highway (SDH) in China was employed to demonstrate the application of this methodological framework. The findings highlight the need for enhancing the resilience of highway O&M systems, particularly by focusing on personnel and equipment factors within the absorption and resistance subsystems and prioritizing organizational and personnel factors within the recovery and adaptation subsystems. Furthermore, dynamic strategies tailored to different O&M objectives were proposed. These frameworks contribute to the existing knowledge base of highway O&M systems by integrating resilience theory into performance evaluation and improvement efforts amid uncertainty.
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Data Availability Statement
Some or all data, or models that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research was funded by the Liaoning Provincial Central Government Guiding Local Science and Technology Development Fund Project (Grant No. 2023JH6/100100054), Liaoning Provincial Department of Education Scientific Research Project (Grant No. LJKMZ20221925), and National College Students’ Innovation and Entrepreneurship Training Project (Grant No. 202313208004).
References
Adams, T. M., K. R. Bekkem, and E. J. Toledo-Durán. 2012. “Freight resilience measures.” J. Transp. Eng. 138 (11): 1403–1409. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000415.
Aliabadi, M. M., A. Pourhasan, and I. Mohammadfam. 2020. “Risk modelling of a hydrogen gasholder using fuzzy Bayesian network (FBN).” Int. J. Hydrogen Energy 45 (1): 1177–1186. https://doi.org/10.1016/j.ijhydene.2019.10.198.
An, X., Z. M. Yin, Q. Tong, Y. P. Fang, M. Yang, Q. Q. Yang, and H. X. Meng. 2023. “An integrated resilience assessment methodology for emergency response systems based on multi-stage STAMP and dynamic Bayesian networks.” Reliab. Eng. Syst. Saf. 238 (Oct): 21. https://doi.org/10.1016/j.ress.2023.109445.
Argyroudis, S. A., S. A. Mitoulis, L. Hofer, M. A. Zanini, E. Tubaldi, and D. M. Frangopol. 2020. “Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets.” Sci. Total Environ. 714 (Apr): 136854. https://doi.org/10.1016/j.scitotenv.2020.136854.
Aydin, M., E. Akyuz, O. Turan, and O. Arslan. 2021. “Validation of risk analysis for ship collision in narrow waters by using fuzzy Bayesian networks approach.” Ocean Eng. 231 (Jul): 108973. https://doi.org/10.1016/j.oceaneng.2021.108973.
Babaleye, A. O., R. E. Kurt, and F. Khan. 2019. “Safety analysis of plugging and abandonment of oil and gas wells in uncertain conditions with limited data.” Reliab. Eng. Syst. Saf. 188 (Aug): 133–141. https://doi.org/10.1016/j.ress.2019.03.027.
Bayazit, O., and M. Kaptan. 2024. “Dynamic risk analysis of allision in port areas using DBN based on HFACS-PV.” Ocean Eng. 298 (Apr): 117183. https://doi.org/10.1016/j.oceaneng.2024.117183.
Bensaci, C., Y. Zennir, D. Pomorski, F. Innal, and M. A. Lundteigen. 2023. “Collision hazard modeling and analysis in a multi-mobile robots system transportation task with STPA and SPN.” Reliab. Eng. Syst. Saf. 234 (Jun): 19. https://doi.org/10.1016/j.ress.2023.109138.
Bobbio, A., L. Portinale, M. Minichino, and E. Ciancamerla. 2001. “Improving the analysis of dependable systems by mapping fault trees into Bayesian networks.” Reliab. Eng. Syst. Saf. 71 (3): 249–260. https://doi.org/10.1016/S0951-8320(00)00077-6.
Bocchini, P., and D. M. Frangopol. 2012. “Optimal resilience- and cost-based postdisaster intervention prioritization for bridges along a highway segment.” J. Bridge Eng. 17 (1): 117–129. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000201.
Bocchini, P., D. M. Frangopol, T. Ummenhofer, and T. Zinke. 2014. “Resilience and sustainability of civil infrastructure: Toward a unified approach.” J. Infrastruct. Syst. 20 (2): 04014004. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000177.
Cai, B. P., L. Huang, and M. Xie. 2017. “Bayesian networks in fault diagnosis.” IEEE Trans. Ind. Inf. 13 (5): 2227–2240. https://doi.org/10.1109/TII.2017.2695583.
Cai, B. P., X. Y. Shao, Y. H. Liu, X. D. Kong, H. F. Wang, H. Q. Xu, and W. F. Ge. 2020. “Remaining useful life estimation of structure systems under the influence of multiple causes: Subsea pipelines as a case study.” IEEE Trans. Ind. Electron. 67 (7): 5737–5747. https://doi.org/10.1109/TIE.2019.2931491.
Cai, B. P., Y. P. Zhang, H. F. Wang, Y. H. Liu, R. J. Ji, C. T. Gao, X. D. Kong, and J. Liu. 2021. “Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance.” Reliab. Eng. Syst. Saf. 209 (May): 11. https://doi.org/10.1016/j.ress.2021.107464.
Caputo, A. C., L. Donati, and P. Salini. 2023. “Estimating resilience of manufacturing plants to physical disruptions: Model and application.” Int. J. Prod. Econ. 266 (Dec): 109037. https://doi.org/10.1016/j.ijpe.2023.109037.
Coker, D. 1998. “Fuzzy rough sets are intuitionistic L-fuzzy sets.” Fuzzy Sets Syst. 96 (3): 381–383. https://doi.org/10.1016/s0165-0114(97)00249-2.
Cred, U. J. U. 2018. Economic losses, poverty & disasters 1998-2017. London: CRED and UNISDR.
De Iuliis, M., O. Kammouh, and G. P. Cimellaro. 2022. “Measuring and improving community resilience: A fuzzy logic approach.” Int. J. Disaster Risk Reduct. 78 (Aug): 103118. https://doi.org/10.1016/j.ijdrr.2022.103118.
De Iuliis, M., O. Kammouh, G. P. Cimellaro, and S. Tesfamariam. 2019. “Downtime estimation of building structures using fuzzy logic.” Int. J. Disaster Risk Reduct. 34 (Aug): 196–208. https://doi.org/10.1016/j.ijdrr.2018.11.017.
Ding, Y., P. Wang, X. L. Liu, X. L. Zhang, L. Hong, and Z. B. Cao. 2020. “Risk assessment of highway structures in natural disaster for the property insurance.” Nat. Hazards 104 (3): 2663–2685. https://doi.org/10.1007/s11069-020-04291-3.
Dutuit, Y., and A. Rauzy. 2005. “Approximate estimation of system reliability via fault trees.” Reliab. Eng. Syst. Saf. 87 (2): 163–172. https://doi.org/10.1016/j.ress.2004.02.008.
Fan, S. Q., E. Blanco-Davis, Z. L. Yang, J. F. Zhang, and X. P. Yan. 2020. “Incorporation of human factors into maritime accident analysis using a data-driven Bayesian network.” Reliab. Eng. Syst. Saf. 203 (Nov): 15. https://doi.org/10.1016/j.ress.2020.107070.
Feng, X., J. C. Jiang, and W. F. Wang. 2020. “Gas pipeline failure evaluation method based on a Noisy-OR gate Bayesian network.” J. Loss Prev. Process Ind. 66 (Jul): 104175. https://doi.org/10.1016/j.jlp.2020.104175.
Feng, Y. X., Z. X. Hong, Z. F. Zhang, Z. X. Zhang, and J. R. Tan. 2017. “Interval analysis and DEMATEL-Based reliability apportionment for energy consumption optimization with energy internet.” IEEE Access 5 (Apr): 4769–4778. https://doi.org/10.1109/ACCESS.2017.2672758.
Gidaris, I., J. E. Padgett, A. R. Barbosa, S. Chen, D. Cox, B. Webb, and A. Cerato. 2017. “Multiple-hazard fragility and restoration models of highway bridges for regional risk and resilience assessment in the United States: State-of-the-art review.” J. Struct. Eng. 143 (3): 04016188. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001672.
Guo, J., and K. J. Ma. 2024. “Risk analysis for hazardous chemical vehicle-bridge transportation system: A dynamic Bayesian network model incorporating vehicle dynamics.” Reliab. Eng. Syst. Saf. 242 (Feb): 109732. https://doi.org/10.1016/j.ress.2023.109732.
Guo, X. X., J. Ji, F. Khan, L. Ding, and Q. Tong. 2021. “A novel fuzzy dynamic Bayesian network for dynamic risk assessment and uncertainty propagation quantification in uncertainty environment.” Saf. Sci. 141 (Sep): 105285. https://doi.org/10.1016/j.ssci.2021.105285.
Guo, Y. L., Y. X. Jin, S. P. Hu, Z. L. Yang, Y. T. Xi, and B. Han. 2023. “Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN.” Reliab. Eng. Syst. Saf. 229 (Jan): 108850. https://doi.org/10.1016/j.ress.2022.108850.
Guo, Z. Y., and Y. Y. Haimes. 2017. “Exploring systemic risks in systems-of-systems within a multiobjective decision framework.” IEEE Trans. Syst. Man Cybern. Syst. 47 (6): 906–915. https://doi.org/10.1109/tsmc.2016.2523918.
Hamilton, M. C., J. H. Lambert, E. B. Connelly, and K. Barker. 2016. “Resilience analytics with disruption of preferences and lifecycle cost analysis for energy microgrids.” Reliab. Eng. Syst. Saf. 150 (Jun): 11–21. https://doi.org/10.1016/j.ress.2016.01.005.
Han, F., and S. M. Bogus. 2021. “Resilience criteria for project delivery processes: An exploratory analysis for highway project development.” J. Constr. Eng. Manage. 147 (11): 04021140. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002179.
Heckerman, D. 1997. “Bayesian networks for data mining.” Data Min. Knowl. Discovery 1 (1): 79–119. https://doi.org/10.1023/A:1009730122752.
Hong, B. Y., B. W. Shao, J. Guo, J. Z. Fu, C. C. Li, and B. K. Zhu. 2023. “Dynamic Bayesian network risk probability evolution for third-party damage of natural gas pipelines.” Appl. Energy. 333 (Mar): 120620. https://doi.org/10.1016/j.apenergy.2022.120620.
Hossain, M. S., M. J. Cassidy, D. Daley, and R. Hannan. 2010. “Experimental investigation of perforation drilling in stiff-over-soft clay.” Appl. Ocean Res. 32 (1): 113–123. https://doi.org/10.1016/j.apor.2009.12.005.
Hsieh, C. H., and C. M. Feng. 2020. “The highway resilience and vulnerability in Taiwan.” Transp. Policy 87 (Mar): 1–9. https://doi.org/10.1016/j.tranpol.2018.08.010.
Hsu, H. M., and C. T. Chen. 1996. “Aggregation of fuzzy opinions under group decision making.” Fuzzy Sets Syst. 79 (3): 279–285. https://doi.org/10.1016/0165-0114(95)00185-9.
Hu, J. Q., C. G. Chen, and Z. Y. Liu. 2022. “Early warning method for overseas natural gas pipeline accidents based on FDOOBN under severe environmental conditions.” Process Saf. Environ. Prot. 157 (Jan): 175–192. https://doi.org/10.1016/j.psep.2021.10.046.
Hunte, J. L., M. Neil, and N. E. Fenton. 2024. “A hybrid Bayesian network for medical device risk assessment and management.” Reliab. Eng. Syst. Saf. 241 (Jan): 15. https://doi.org/10.1016/j.ress.2023.109630.
Jia, F., P. Xiang, and D. Chen. 2022. “Prioritizing the operation and maintenance complexity of mega transportation projects based on systems thinking.” J. Constr. Eng. Manage. 148 (2): 17. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002220.
Jiao, J., M. W. Wei, Y. Yuan, and T. D. Zhao. 2020. “Risk quantification and analysis of coupled factors based on the DEMATEL model and a Bayesian network.” Appl. Sci. 10 (1): 20. https://doi.org/10.3390/app10010317.
Jones, B., I. Jenkinson, Z. Yang, and J. Wang. 2010. “The use of Bayesian network modelling for maintenance planning in a manufacturing industry.” Reliab. Eng. Syst. Saf. 95 (3): 267–277. https://doi.org/10.1016/j.ress.2009.10.007.
Kabir, G., R. Sadiq, and S. Tesfamariam. 2016. “A fuzzy Bayesian belief network for safety assessment of oil and gas pipelines.” Struct. Infrastruct. Eng. 12 (8): 874–889. https://doi.org/10.1080/15732479.2015.1053093.
Kabir, S., M. Taleb-Berrouane, and Y. Papadopoulos. 2023. “Dynamic reliability assessment of flare systems by combining fault tree analysis and Bayesian networks.” Energy Sources Part A 45 (2): 4305–4322. https://doi.org/10.1080/15567036.2019.1670287.
Kammouh, O., P. Gardoni, and G. P. Cimellaro. 2020. “Probabilistic framework to evaluate the resilience of engineering systems using Bayesian and dynamic Bayesian networks.” Reliab. Eng. Syst. Saf. 198 (Jun): 20. https://doi.org/10.1016/j.ress.2020.106813.
Kohda, T., and W. M. Cui. 2007. “Risk-based reconfiguration of safety monitoring system using dynamic Bayesian network.” Reliab. Eng. Syst. Saf. 92 (12): 1716–1723. https://doi.org/10.1016/j.ress.2006.09.012.
Kong, X. D., B. P. Cai, Z. X. Zou, Q. B. Wu, C. Y. S. Wang, J. Yang, B. Wang, and Y. H. Liu. 2024. “Three-model-driven fault diagnosis method for complex hydraulic control system: Subsea blowout preventer system as a case study.” Expert Syst. Appl. 247 (Aug): 123297. https://doi.org/10.1016/j.eswa.2024.123297.
Li, C. Q., Q. Fang, L. Y. Ding, and B. T. Zhong. 2019. “Risk analysis and management for highway operations safety using a covariate-balanced determinant detector.” Accid. Anal. Prev. 133 (Dec): 105290. https://doi.org/10.1016/j.aap.2019.105290.
Li, M., R. Zhang, X. Chen, and K. F. Liu. 2022a. “Assessment of underwater navigation safety based on dynamic Bayesian network facing uncertain knowledge and various information.” Front. Mar. Sci. 9 (Dec): 15. https://doi.org/10.3389/fmars.2022.1069841.
Li, Y. F., H. Z. Huang, J. H. Mi, W. W. Peng, and X. M. Han. 2022b. “Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability.” Ann. Oper. Res. 311 (1): 195–209. https://doi.org/10.1007/s10479-019-03247-6.
Li, Y. T., F. X. Zhang, and W. Y. Ji. 2023a. “Integrated data-driven and equity-centered framework for highway restoration following flood inundation.” J. Manage. Eng. 39 (3): 04023012. https://doi.org/10.1061/jmenea.Meeng-5266.
Li, Y. X., Y. X. Ding, Y. L. Guo, H. Z. Cui, H. Y. Gao, Z. Y. Zhou, N. B. Zhang, S. Y. Zhu, and F. Chen. 2023b. “An integrated decision model with reliability to support transport safety system analysis.” Reliab. Eng. Syst. Saf. 239 (Nov): 109540. https://doi.org/10.1016/j.ress.2023.109540.
Liu, Y., L. S. Fan, X. Li, S. L. Shi, and Y. Lu. 2020. “Trends of hazardous material accidents (HMAs) during highway transportation from 2013 to 2018 in China.” J. Loss Prev. Process Ind. 66 (Jul): 104150. https://doi.org/10.1016/j.jlp.2020.104150.
Liu, Z. K., Z. H. Han, Q. Chen, X. W. Shi, Q. Ma, B. P. Cai, and Y. H. Liu. 2023. “Risk assessment of marine oil spills using dynamic Bayesian network analyses.” Environ. Pollut. 317 (Jan): 120716. https://doi.org/10.1016/j.envpol.2022.120716.
Liu, Z. K., Y. H. Liu, B. P. Cai, D. W. Zhang, and C. Zheng. 2015. “Dynamic Bayesian network modeling of reliability of subsea blowout preventer stack in presence of common cause failures.” J. Loss Prev. Process Ind. 38 (Jun): 58–66. https://doi.org/10.1016/j.jlp.2015.09.001.
Liu, Z. K., Y. H. Liu, X. L. Wu, and B. P. Cai. 2018. “Risk analysis of subsea blowout preventer by mapping GO models into Bayesian networks.” J. Loss Prev. Process Ind. 52 (Mar): 54–65. https://doi.org/10.1016/j.jlp.2018.01.014.
Lower, M., J. Magott, and J. Skorupski. 2018. “A system-theoretic accident model and process with human factors analysis and classification system taxonomy.” Saf. Sci. 110 (Dec): 393–410. https://doi.org/10.1016/j.ssci.2018.04.015.
Ma, X. F., G. Y. Shi, and Z. J. Liu. 2023. “Unraveling the usage characteristics of human element, human factor, and human error in maritime safety.” Appl. Sci. 13 (5): 26. https://doi.org/10.3390/app13052850.
Madigan, R., D. Golightly, and R. Madders. 2016. “Application of human factors analysis and classification system (HFACS) to UK rail safety of the line incidents.” Accid. Anal. Prev. 97 (Aug): 122–131. https://doi.org/10.1016/j.aap.2016.08.023.
Moghanlou, L. N., F. Di Maio, and E. Zio. 2024. “Probabilistic scenario analysis of integrated road-power infrastructures with hybrid fleets of EVs and ICVs.” Reliab. Eng. Syst. Saf. 242 (Feb): 109712. https://doi.org/10.1016/j.ress.2023.109712.
Nicolosi, V., M. Augeri, M. D’Apuzzo, A. Evangelisti, and D. Santilli. 2022. “A probabilistic approach to the evaluation of seismic resilience in road asset management.” Int. J. Disaster Risk Sci. 13 (1): 114–124. https://doi.org/10.1007/s13753-022-00395-5.
Niu, L. X., J. Zhao, and J. H. Yang. 2023. “Risk assessment of unsafe acts in coal mine gas explosion accidents based on HFACS-GE and Bayesian networks.” Processes 11 (2): 554. https://doi.org/10.3390/pr11020554.
Pan, Y., L. M. Zhang, Z. W. Li, and L. Y. Ding. 2020. “Improved fuzzy Bayesian network-based risk analysis with interval-valued fuzzy sets and D-S evidence theory.” IEEE Trans. Fuzzy Syst. 28 (9): 2063–2077. https://doi.org/10.1109/tfuzz.2019.2929024.
Pang, Y. T., K. Wei, and W. C. Yuan. 2020. “Life-cycle seismic resilience assessment of highway bridges with fiber-reinforced concrete piers in the corrosive environment.” Eng. Struct. 222 (Nov): 111120. https://doi.org/10.1016/j.engstruct.2020.111120.
Pasha, J., M. A. Dulebenets, O. F. Abioye, M. Kavoosi, R. Moses, J. Sobanjo, and E. E. Ozguven. 2020. “A comprehensive assessment of the existing accident and hazard prediction models for the highway-rail grade crossings in the state of Florida.” Sustainability 12 (10): 4291. https://doi.org/10.3390/su12104291.
Plummer, P., and D. Yamamoto. 2019. “Economic resilience of Japanese nuclear host communities: A quasi-experimental modeling approach.” Environ. Plann. Econ. Space 51 (7): 1586–1608. https://doi.org/10.1177/0308518X19852125.
Rasmussen, J. 1982. “Human errors—A taxonomy for describing human malfunction in industrial installations.” J. Occup. Accid. 4 (2–4): 311–333. https://doi.org/10.1016/0376-6349(82)90041-4.
Sen, M. K., S. Dutta, and J. I. Laskar. 2021. “A hierarchical Bayesian network model for flood resilience quantification of housing infrastructure systems.” J. Risk Uncertainty Eng. Syst. Part A Civ. Eng. 7 (1): 04020060. https://doi.org/10.1061/ajrua6.0001108.
Shappell, S., C. Detwiler, K. Holcomb, C. Hackworth, A. Boquet, and D. A. Wiegmann. 2007. “Human error and commercial aviation accidents: An analysis using the human factors analysis and classification system.” Hum. Factors 49 (2): 227–242. https://doi.org/10.1518/001872007X312469.
Shi, L., J. Shuai, and K. Xu. 2014. “Fuzzy fault tree assessment based on improved AHP for fire and explosion accidents for steel oil storage tanks.” J. Hazards Mater. 278 (Apr): 529–538. https://doi.org/10.1016/j.jhazmat.2014.06.034.
Siringoringo, D. M., and Y. Fujino. 2023. “Simulations on Reliability-based Safety Assessment of Vehicles Crossing Highway Interchanges during Earthquakes.” J. Earthquake Eng. 27 (8): 2061–2087. https://doi.org/10.1080/13632469.2022.2096722.
Tang, N., H. Hu, F. Xu, J. K. W. Yeoh, D. K. H. Chua, and Z. Hu. 2022. “A personalized Human Factors Analysis and Classification System (HFACS) for construction safety managementbased on context-aware technology.” Enterp. Inf. Syst. 16 (1): 141–166. https://doi.org/10.1080/17517575.2021.1878283.
Vishnu, N., S. Kameshwar, and J. E. Padgett. 2023. “Road transportation network hazard sustainability and resilience: Correlations and comparisons.” Struct. Infrastruct. Eng. 19 (3): 345–365. https://doi.org/10.1080/15732479.2021.1945114.
Wang, B., L. Geng, P. Dang, and L. Zhang. 2022. “Developing a framework for dynamic organizational resilience analysis in prefabricated construction projects: A project life cycle perspective.” J. Constr. Eng. Manage. 148 (10): 04022110. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002381.
Wang, L. X. 1999. “Analysis and design of hierarchical fuzzy systems.” IEEE Trans. Fuzzy Syst. 7 (5): 617–624. https://doi.org/10.1109/91.797984.
Wang, Y. F., T. Qin, B. A. Li, X. F. Sun, and Y. L. Li. 2017. “Fire probability prediction of offshore platform based on Dynamic Bayesian network.” Ocean Eng. 145 (Nov): 112–123. https://doi.org/10.1016/j.oceaneng.2017.08.035.
Wu, S. N., L. B. Zhang, W. P. Zheng, Y. L. Liu, and M. A. Lundteigen. 2016. “A DBN-based risk assessment model for prediction and diagnosis of offshore drilling incidents.” J. Nat. Gas Sci. Eng. 34 (Aug): 139–158. https://doi.org/10.1016/j.jngse.2016.06.054.
Xu, Z. S. 2008. “Dependent uncertain ordered weighted aggregation operators.” Inf. Fusion 9 (2): 310–316. https://doi.org/10.1016/j.inffus.2006.10.008.
Yang, L., X. Wang, J. Q. Zhu, and Z. Y. Qin. 2022. “Risk factors identification of unsafe acts in deep coal mine workers based on grounded theory and HFACS.” Front. Public Health 10 (Jun): 15. https://doi.org/10.3389/fpubh.2022.852612.
Yazdi, M., P. Hafezi, and R. Abbassi. 2019. “A methodology for enhancing the reliability of expert system applications in probabilistic risk assessment.” J. Loss Prev. Process Ind. 58 (Mar): 51–59. https://doi.org/10.1016/j.jlp.2019.02.001.
Yazdi, M., and S. Kabir. 2020. “Fuzzy evidence theory and Bayesian networks for process systems risk analysis.” Hum. Ecol. Risk Assess. 26 (1): 57–86. https://doi.org/10.1080/10807039.2018.1493679.
Yazdi, M., F. Khan, R. Abbassi, and R. Rusli. 2020. “Improved DEMATEL methodology for effective safety management decision-making.” Saf. Sci. 127 (Jul): 104705. https://doi.org/10.1016/j.ssci.2020.104705.
Yu, J. X., S. B. Wu, Y. Yu, H. C. Chen, H. Z. Fan, J. H. Liu, and S. W. Ge. 2021. “Process system failure evaluation method based on a Noisy-OR gate intuitionistic fuzzy Bayesian network in an uncertain environment.” Process Saf. Environ. Prot. 150 (Jun): 464–477. https://doi.org/10.1016/j.psep.2021.04.037.
Yue, K., W. H. Qian, X. D. Fu, J. Li, and W. Y. Liu. 2015. “Qualitative probabilistic network-based fusion of time-series uncertain knowledge.” Soft Comput. 19 (7): 1953–1972. https://doi.org/10.1007/s00500-014-1381-y.
Zadeh, L. A. 1965. “Fuzzy sets.” Inf. Control 8 (3): 338. https://doi.org/10.1016/S0019-9958(65)90241-X.
Zarei, E., N. Khakzad, V. Cozzani, and G. Reniers. 2019. “Safety analysis of process systems using fuzzy Bayesian network (FBN).” J. Loss Prev. Process Ind. 57 (Jan): 7–16. https://doi.org/10.1016/j.jlp.2018.10.01.
Zeng, Y., and R. B. Xiao. 2015. “A networked approach to dynamic analysis of social system vulnerability.” J. Intell. Fuzzy Syst. 28 (1): 189–197. https://doi.org/10.3233/IFS-141289.
Zhang, J. X., M. H. Shi, X. S. Lang, Q. J. You, Y. L. Jing, D. Y. Huang, H. Y. Dai, and J. Kang. 2024. “Dynamic risk evaluation of hydrogen station leakage based on fuzzy dynamic Bayesian network.” Int. J. Hydrogen Energy 50 (11): 1131–1145. https://doi.org/10.1016/j.ijhydene.2023.10.005.
Zhang, Y., C.-H. Tsai, and P.-C. Liao. 2020. “Rethinking risk propagation mechanism in public–private partnership projects: Network perspective.” J. Infrastruct. Syst. 26 (2): 04020011. https://doi.org/10.1061/(asce)is.1943-555x.0000538.
Zhang, Y. Y., T. Z. Liu, Q. G. Bai, W. Shao, and Q. Wang. 2018. “New systems-based method to conduct analysis of road traffic accidents.” Transp. Res. Part F Traffic Psychol. Behav. 54 (Apr): 96–109. https://doi.org/10.1016/j.trf.2018.01.019.
Zhang, Z. Y., T. T. Ji, and H. H. Wei. 2022. “Dynamic emergency inspection routing and restoration scheduling to enhance the post-earthquake resilience of a highway-bridge network.” Reliab. Eng. Syst. Saf. 220 (Apr): 108282. https://doi.org/10.1016/j.ress.2021.108282.
Zhou, L. X., M. S. Alam, Y. Dong, and R. W. Feng. 2024. “Seismic resilience assessment of extended pile shaft supported coastal bridges considering scour and uniform corrosion effects.” Eng. Struct. 304 (Apr): 117643. https://doi.org/10.1016/j.engstruct.2024.117643.
Zhu, X. P., J. S. Wu, Y. P. Bai, D. Wang, and J. Zhang. 2024. “Integrating FBN and FDS for quantitative risk assessment of cable fire in utility tunnel.” J. Loss Prev. Process Ind. 88 (Apr): 105266. https://doi.org/10.1016/j.jlp.2024.105266.
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Journal of Construction Engineering and Management
Volume 150 • Issue 12 • December 2024
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© 2024 American Society of Civil Engineers.
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Received: Jan 31, 2024
Accepted: Jun 24, 2024
Published online: Sep 26, 2024
Published in print: Dec 1, 2024
Discussion open until: Feb 26, 2025
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