Emergency Decision-Making System for the Large-Scale Infrastructure: A Case Study of the South-to-North Water Diversion Project
Publication: Journal of Infrastructure Systems
Volume 28, Issue 1
Abstract
Large-scale infrastructure operates in a complex and uncertain environment. When an unexpected safety accident occurs, efficient emergency decision-making plays a crucial role in safe operation. Case-based reasoning (CBR) provides an effective tool in emergency response decision-making. However, case retrieval efficiency and missing values for case attributes present significant challenges to CBR. Firstly, in this study, a unified framework representation method is constructed for accident cases of large-scale infrastructure. Secondly, an inductive indexing approach is used to preclassify cases according to key attributes of the cases in order to improve retrieval efficiency. Thirdly, this study proposes a two-layer integrated structure and attributes similarity algorithm based on the K-nearest neighbors (KNN) method in a bid to overcome the missing attribute values of the cases. Fourthly, the emergency decision-making system is developed for the large-scale infrastructure. Finally, a case study of the South-to-North Water Diversion Project in China is undertaken to verify the proposed methods and computing system. This study provides a valuable decision-making approach for operational safety-related emergency management of large-scale infrastructure.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
The data used to support the findings of this study are available from the corresponding author upon request.
Acknowledgments
The authors acknowledge with gratitude the National Key R&D Program of China (No. 2018YFC0406905); the Ministry of Education (MOE) in China Project of Humanities and Social Sciences (No. 19YJC630078), the Youth Talents Teachers Scheme of Henan Province Universities (No. 2018GGJS080), the National Natural Science Foundation of China (Nos. 71974056 and 71302191), the Foundation for Distinguished Young Talents in Higher Education of Henan (Humanities & Social Sciences) in China (No. 2017-cxrc-023), the China Scholarship Council (No. 201908410388), and the 2021 Key R & D and Promotion Special Project of Henan Province (Tackling Key Science and Technology) (No. 212102310392). This study would not have been possible without their financial support.
References
Abdelaty, A., K. J. Shrestha, and H. D. Jeong. 2020. “Estimating preconstruction services for bridge design projects.” J. Manage. Eng. 36 (4): 04020034. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000793.
Abnane, I., A. Idri, and A. Abran. 2020. “Fuzzy case-based-reasoning-based imputation for incomplete data in software engineering repositories.” J. Software: Evol. Process 32 (9): e2260. https://doi.org/10.1002/smr.2260.
Achten, S., L. Beyer, A. M. Dietrich, D. Ebeling, C. Lessmann, and A. Steinkraus. 2019. “Large scale infrastructure investment and economic performance—A case study of Oresund.” Appl. Econ. Lett. 26 (1): 21–26. https://doi.org/10.1080/13504851.2018.1433289.
Amailef, K., and J. Lu. 2013. “Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services.” Decis. Support Syst. 55 (1): 79–97. https://doi.org/10.1016/j.dss.2012.12.034.
Asif, M., and J. Ahmed. 2020. “A novel case base reasoning and frequent pattern based decision support system for mitigating software risk factors.” IEEE Access 8 (Jun): 102278–102291. https://doi.org/10.1109/ACCESS.2020.2999036.
Ayhan, B. U., and O. B. Tokdemir. 2019. “Safety assessment in megaprojects using artificial intelligence.” Saf. Sci. 118 (Oct): 273–287. https://doi.org/10.1016/j.ssci.2019.05.027.
Chattopadhyay, S., S. Banerjee, F. A. Rabhi, and U. R. Acharya. 2013. “A case-based reasoning system for complex medical diagnosis.” Expert Syst. 30 (1): 12–20. https://doi.org/10.1111/j.1468-0394.2012.00618.x.
Che, L. 2017. “Research on intelligent matching method of emergency decision-making of freeway incidents.” Ph.D. thesis, School of Automation, Southeast Univ.
Cosgrave, J. 1996. “Decision making in emergencies.” Disaster Prev. Manage. 5 (4): 28–35. https://doi.org/10.1108/09653569610127424.
Deng, Z. Y., X. S. Zhu, D. B. Cheng, M. Zong, and S. C. Zhang. 2016. “Efficient kNN classification algorithm for big data.” Neurocomputing 195 (Jun): 143–148. https://doi.org/10.1016/j.neucom.2015.08.112.
Dong, X. C., and J. Guo. 2016. “Dynamic multi-objective emergency decision model for emergency response.” Stat. Decis. (3): 43–46.
Dong, Y. 2019. “Research on intelligent decision-making technology for gas emergency management.” Master thesis, Dept. of Computer Science, Beijing Univ. of Civil Engineering and Architecture.
Fan, Z. P., Y. H. Li, X. Wang, and Y. Liu. 2014. “Hybrid similarity measure for case retrieval in CBR and its application to emergency response towards gas explosion.” Expert Syst. Appl. 41 (5): 2526–2534. https://doi.org/10.1016/j.eswa.2013.09.051.
Goh, Y. M., and D. K. H. Chua. 2010. “Case-based reasoning approach to construction safety hazard identification: Adaptation and utilization.” J. Constr. Eng. Manage. 136 (2): 170–178. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000116.
Hadj-Mabrouk, H. 2020. “Application of case-based reasoning to the safety assessment of critical software used in rail transport.” Saf. Sci. 131 (Nov): 104928. https://doi.org/10.1016/j.ssci.2020.104928.
Huang, C., S. Shen, and Q. Huang. 2012. “An approach of information processing for CBR in emergency management engineering.” Syst. Eng. Procedia 5 (Jan): 185–190. https://doi.org/10.1016/j.sepro.2012.04.030.
Jiang, X. Y., S. Wang, J. Wang, S. N. Lyu, and M. Skitmore. 2020. “A decision method for construction safety risk management based on ontology and improved CBR: Example of a subway project.” Int. J. Environ. Res. Public Health 17 (11): 3928. https://doi.org/10.3390/ijerph17113928.
Jiang, Z. G., Y. Jiang, Y. Wang, H. Zhang, H. J. Cao, and G. D. Tian. 2019. “A hybrid approach of rough set and case-based reasoning to remanufacturing process planning.” J. Intell. Manuf. 30 (1): 19–32. https://doi.org/10.1007/s10845-016-1231-0.
Kolodner, J. L., and R. L. Simpson. 1989. “The MEDIATOR: Analysis of an early case-based problem solver.” Cognit. Sci. 13 (4): 507–549. https://doi.org/10.1207/s15516709cog1304_2.
Li, H., and J. Sun. 2009. “Predicting business failure using multiple case-based reasoning combined with support vector machine.” Expert Syst. Appl. 36 (6): 10085–10096. https://doi.org/10.1016/j.eswa.2009.01.013.
Liao, T. W., Z. M. Zhang, and C. R. Mount. 1998. “Similarity measures for retrieval in case-based reasoning systems.” Appl. Artif. Intell. 12 (4): 267–288. https://doi.org/10.1080/088395198117730.
Liao, Z. L., X. W. Mao, P. M. Hannam, and T. T. Zhao. 2012. “Adaptation methodology of CBR for environmental emergency preparedness system based on an improved genetic algorithm.” Expert Syst. Appl. 39 (8): 7029–7040. https://doi.org/10.1016/j.eswa.2012.01.044.
Liu, D., J. Chen, S. Li, and W. Cui. 2018. “An integrated visualization framework to support whole-process management of water pipeline safety.” Autom. Constr. 89 (May): 24–37. https://doi.org/10.1016/j.autcon.2018.01.010.
Liu, W. M., G. Y. Hu, and J. F. Li. 2012. “Emergency resources demand prediction using case-based reasoning.” Saf. Sci. 50 (3): 530–534. https://doi.org/10.1016/j.ssci.2011.11.007.
Liu, X. 2014. “Plan based intelligent decision support model for emergency of Geohazard.” Ph.D. thesis, College of Information Engineering, China Univ. of Geosciences.
Liu, Y., Z. P. Fan, and Y. Zhang. 2014. “Risk decision analysis in emergency response: A method based on cumulative prospect theory.” Comput. Oper. Res. 42 (2): 75–82. https://doi.org/10.1016/j.cor.2012.08.008.
Lopez-Sanchez, J. A., F. J. Garrido-Jimenez, J. L. Torres-Moreno, A. Chofre-Garcia, and A. Gimenez-Fernandez. 2020. “Limitations of urban infrastructure for the large-scale implementation of electric mobility. A case study.” Sustainability 12 (10): 4253. https://doi.org/10.3390/su12104253.
Luo, Z. X., S. J. Li, K. Hou, and G. D. Ji. 2019. “Spatial and seasonal bacterioplankton community dynamics in the main channel of the Middle Route of South-to-North Water Diversion Project.” Res. Microbiol. 170 (1): 24–34. https://doi.org/10.1016/j.resmic.2018.08.004.
Ma, Y., W. Zhang, J. Lu, and L. Yuan. 2014. “Automated generation of traffic incident response plan based on case-based reasoning and Bayesian theory.” Discrete Dyn. Nat. Soc. 2014 (6): 1–7. https://doi.org/10.1155/2014/920301.
Mendonca, D., G. Beroggi, and W. A. Wallace. 2001. “Decision support for improvisation during emergency response operations.” Int. J. Emergency Manage. 1 (1): 30–38. https://doi.org/10.1504/IJEM.2001.000507.
Mi, W.-J., and Y.-W. Dai. 2017. “Risk mixed multi-criteria fuzzy group decision-making approach based on prospect theory.” Control Decis. 32 (7): 1279–1285. https://doi.org/10.13195/j.kzyjc.2016.1221.
Mijovic, V., N. Tomasevic, V. Janev, M. Stanojevic, and S. Vranes. 2019. “Emergency management in critical infrastructures: A complex-event-processing paradigm.” J. Syst. Sci. Syst. Eng. 28 (1): 37–62. https://doi.org/10.1007/s11518-018-5393-5.
Pereira, E., U. Hermann, S. Han, and S. AbouRizk. 2018. “Case-based reasoning approach for assessing safety performance using safety-related measures.” J. Constr. Eng. Manage. 144 (9): 04018088. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001546.
Pescaroli, G., and D. Alexander. 2016. “Critical infrastructure, panarchies and the vulnerability paths of cascading disasters.” Nat. Hazards 82 (1): 175–192. https://doi.org/10.1007/s11069-016-2186-3.
Peters, K., L. Buzna, and D. Helbing. 2008. “Modelling of cascading effects and efficient response to disaster spreading in complex networks.” Int. J. Crit. Infrastruct. 4 (1–2): 46–62. https://doi.org/10.1504/IJCIS.2008.016091.
Qin, Y. H. 2010. “On evaluation of the effectiveness of emergency plans.” Sci. Technol. Manage. Res. 30 (24): 56–59.
Schank, R. C. 1982. Dynamic memory: A theory of reminding and learning in computers and people. Cambridge, UK: Cambridge University Press.
Schmeidler, G. D. 1995. “Case-based decision theory.” Q. J. Econ. 110 (3): 605–639. https://doi.org/10.2307/2946694.
She, L., M.-H. Zhang, and C. Huang. 2015. “Research on structured representation of the public emergency case.” J. South China Univ. Technol. 17 (6): 69–75. https://doi.org/10.19366/j.cnki.1009-055x.2015.06.010.
Silva, G. C., E. E. O. Carvalho, and W. M. Caminhas. 2020. “An artificial immune systems approach to case-based reasoning applied to fault detection and diagnosis.” Expert Syst. Appl. 140 (Feb): 112906. https://doi.org/10.1016/j.eswa.2019.112906.
Stram, R., P. Reuss, K.-D. Althoff, W. Henkel, and D. Fischer. 2016. “Relevance matrix generation using sensitivity analysis in a case-based reasoning environment.” In Vol. 2016 of Proc., 24th Int. Conf. on Case-Based Reasoning Research and Development, ICCBR 2016, 402–412. Cham, Switzerland: Springer.
Su, Y. K., S. J. Yang, K. N. Liu, K. C. Hua, and Q. Yao. 2019. “Developing a case-based reasoning model for safety accident pre-control and decision making in the construction industry.” Int. J. Environ. Res. Public Health 16 (9): 1511. https://doi.org/10.3390/ijerph16091511.
Tang, C., Y. Yi, Z. Yang, and X. Cheng. 2014. “Water pollution risk simulation and prediction in the main canal of the South-to-North Water Transfer Project.” J. Hydrol. 519 (Nov): 2111–2120. https://doi.org/10.1016/j.jhydrol.2014.10.010.
Tang, W., C. Jiang, and L. She. 2013. “Key issues to enhance the effectiveness of emergency plans.” Chin. Public Administration (9): 51–54.
Uddin, M. J., G. Vizzari, S. Bandini, and M. O. Imam. 2018. “A case-based reasoning approach to rate microcredit borrower risk in online Kiva P2P lending model.” Data Technol. Appl. 52 (1): 58–83. https://doi.org/10.1108/DTA-02-2017-0009.
Vilhena, J., H. Vicente, M. R. Martins, J. M. Graneda, F. Caldeira, R. Gusmao, J. Neves, and J. Neves. 2016. “A case-based reasoning view of thrombophilia risk.” J. Biomed. Inf. 62 (Aug): 265–275. https://doi.org/10.1016/j.jbi.2016.07.013.
Wang, H., X. Guan, C. Lu, and J. Chang. 2016. “Intuitionistic fuzzy decision method based on grey incidence analysis and evidence reasoning.” Comput. Digital Eng. 44 (1): 45–47.
Wang, W., X. L. Zhang, and S. Gombault. 2009. “Constructing attribute weights from computer audit data for effective intrusion detection.” J. Syst. Software 82 (12): 1974–1981. https://doi.org/10.1016/j.jss.2009.06.040.
Yu, F., and X. Y. Li. 2018. “Improving emergency response to cascading disasters: Applying case-based reasoning towards urban critical infrastructure.” Int. J. Disaster Risk Reduct. 30 (Sep): 244–256. https://doi.org/10.1016/j.ijdrr.2018.04.012.
Yu, F., X. Y. Li, and X. S. Han. 2018. “Risk response for urban water supply network using case-based reasoning during a natural disaster.” Saf. Sci. 106 (Jul): 121–139. https://doi.org/10.1016/j.ssci.2018.03.003.
Yu, X., C. Li, W. X. Zhao, and H. Chen. 2020. “A novel case adaptation method based on differential evolution algorithm for disaster emergency.” Appl. Soft Comput. 92 (Jul): 106306. https://doi.org/10.1016/j.asoc.2020.106306.
Zarandi, M. H. F., Z. S. Razaee, and M. Karbasian. 2011. “A fuzzy case based reasoning approach to value engineering.” Expert Syst. Appl. 38 (8): 9334–9339. https://doi.org/10.1016/j.eswa.2011.01.124.
Zhang, D. H., Z. H. Sheng, J. G. Du, and S. Jin. 2014. “A study of emergency management of supply chain under supply disruption.” Neural Comput. Appl. 24 (1): 13–20. https://doi.org/10.1007/s00521-013-1511-y.
Zhang, L. 2014. “Study and application of emergency decision on case-based reasoning of gas in coal mine.” Ph.D. thesis, School of Computer Science, China Univ. of Mining and Technology.
Zhang, Q. S., B. L. Xie, and X. M. Zhang. 2015. “Optimization selection method for uncertain internet public opinion emergency decision plans under interval-valued fuzzy environment.” Comput. Sci. 42 (6A): 70–74.
Zhang, Y. C., L. Y. Ding, and P. E. D. Love. 2017. “Planning of deep foundation construction technical specifications using improved case-based reasoning with weighted k-nearest neighbors.” J. Comput. Civ. Eng. 31 (5): 04017029. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000682.
Zhao, L. 2016. “Research on decision support system of coal mine near misses based on CBR.” Master thesis, School of Management, Xi’an Univ. of Science and Technology.
Zheng, J., Y. M. Wang, and K. Zhang. 2020. “Solution of heterogeneous multi-attribute case-based decision making problems by using method based on TODIM.” Soft Comput. 24 (10): 7081–7091. https://doi.org/10.1007/s00500-020-04844-5.
Zhou, X. 2018. “Research on railway emergency decision making based on CBR.” Master thesis, School of Civil Engineering, Southwest Jiaotong Univ.
Zhu, J. 2018. “Research and implementation on tourism product recommendation system based on case-based reasoning.” Master thesis, School of Control and Computer Engineering, North China Electric Power Univ.
Zhu, X., H. I. Suk, and D. Shen. 2014. “A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis.” Neuroimage 100 (Oct): 91–105. https://doi.org/10.1016/j.neuroimage.2014.05.078.
Information & Authors
Information
Published In
Journal of Infrastructure Systems
Volume 28 • Issue 1 • March 2022
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Oct 10, 2020
Accepted: Sep 15, 2021
Published online: Nov 11, 2021
Published in print: Mar 1, 2022
Discussion open until: Apr 11, 2022
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
- Yueqiang Li, Zhao Zhang, Lingzhong Kong, Xiaohui Lei, Jie Zhu, Hanyuan Li, Yilin Wang, Rong Cao, Hydraulic Optimization Control of Cascaded Open Channel under the Emergency Scenario of a Downstream Water Supply Interruption, Journal of Water Resources Planning and Management, 10.1061/JWRMD5.WRENG-5881, 149, 7, (2023).
- Feng Li, Pengchao Zhang, Xin Huang, Jiabin Sun, Qian Li, Emergency Decision-Making for Middle Route of South-to-North Water Diversion Project Using Case-Based Reasoning and Prospect Theory, Sustainability, 10.3390/su142113707, 14, 21, (13707), (2022).
- Wenxin Su, Linyan Chen, Xin Gao, Emergency Decision Making: A Literature Review and Future Directions, Sustainability, 10.3390/su141710925, 14, 17, (10925), (2022).