[1]

Hou B, Zhang L, Ai X, Li H. 2021. Impact of city gas on mortality in China: National and regional estimates. Energy Policy 156:112448

doi: 10.1016/j.enpol.2021.112448
[2]

Wu K, Paranjothi G, Milford JB, Kreith F. 2016. Transition to sustainability with natural gas from fracking. Sustain. Sustainable Energy Technologies and Assessments 14:26−34

doi: 10.1016/j.seta.2016.01.003
[3]

Wang Y, Liu Y, Cui S, Sun B, Gong X, et al. 2020. Comparative life cycle assessment of different fuel scenarios and milling technologies for ceramic tile production: A case study in China. Journal of Cleaner Production 273:122846

doi: 10.1016/j.jclepro.2020.122846
[4]

National Bureau of Statistics of China. 2021. China Statistical Yearbook. www.stats.gov.cn/tjsj/ndsj/2021/indexch.htm (Accessed 6 November 2022).

[5]

Yang T, Li H, Zhang L, Chen T. 2022. The impact of city gas on income inequality in China: A regional heterogeneity analysis. Energy Policy 169:113203

doi: 10.1016/j.enpol.2022.113203
[6]

U. S. Department of Transportation Pipeline and Hazardous Materials Safety Administration. 2022. Pipeline Mileage and Facilities. https://portal.phmsa.dot.gov/analytics/saw.dll?Portalpages&PortalPath=%2Fshared%2FPDM%20Public%20Website%2F_portal%2FPublic%20Reports&Page=Infrastructure (Accessed on 10 November 2022).

[7]

Tian B, Zhang Y, Cui X, Zhao Z. 2022. Analysis of Urban Gas Explosion Accidents in China from 2016 to 2020. Journal of Safety and Environment Accepted paper

doi: 10.13637/j.issn.1009-6094.2022.1011
[8]

Ministry of Emergency Management of the People's Republic of China. 2021. State Council Security Committee Office Working Group 'Examines Undisclosed Visit' Pipeline Hidden Danger. www.mem.gov.cn/xw/mtxx/202108/t20210815_395953.shtml (Accessed on 6 November 2022).

[9]

Hauck G. 2021. Gas explosion at Dallas apartment complex injures 8, including 4 firefighters. www.usatoday.com/story/news/nation/2021/09/29/gas-explosion-dallas-apartment-building-sends-seven-hospital/5918146001/ (Accessed on 6 November 2022).

[10]

Gearty R. 2020. Baltimore gas explosion leaves 2 dead, 7 injured; recovery underway. www.foxnews.com/us/baltimore-gas-explosion-recovery (Accessed on 6 November 2022).

[11]

Li X, Penmetsa P, Liu J, Hainen A, Nambisan S. 2021. Severity of emergency natural gas distribution pipeline incidents: Application of an integrated spatio-temporal approach fused with text mining. Journal of Loss Prevention in the Process Industries 69:104383

doi: 10.1016/j.jlp.2020.104383
[12]

Pawar B, Huffman M, Khan F, Wang Q. 2022. Resilience assessment framework for fast response process systems. Process Safety and Environmental Protection 163:82−93

doi: 10.1016/j.psep.2022.05.016
[13]

Zhou J. 2013. Petri net modeling for the emergency response to chemical accidents. Journal of Loss Prevention in the Process Industries 26:766−70

doi: 10.1016/j.jlp.2013.02.002
[14]

Zhou J, Reniers G. 2016. Petri-net based modeling and queuing analysis for resource-oriented cooperation of emergency response actions. Process Safety and Environmental Protection 102:567−576

doi: 10.1016/j.psep.2016.05.013
[15]

Liu S, Li W, Gao P, Sun Y. 2022. Modeling and performance analysis of gas leakage emergency disposal process in gas transmission station based on Stochastic Petri nets. Reliability Engineering & System Safety 226:108708

doi: 10.1016/j.ress.2022.108708
[16]

Duan H, Liu C, Zeng Q, Zhou M. 2018. Refinement-based hierarchical modeling and correctness verification of cross-organization collaborative emergency response processes. IEEE Transactions on Systems, Man, and Cybernetics: Systems 50:2845−59

doi: 10.1109/TSMC.2018.2838053
[17]

Duan H, Liu C, Zeng Q, Zhou M. 2018. A package reduction approach to modeling and analysis of cross-organization emergency response processes with privacy protected. IEEE Access 6:55573−85

doi: 10.1109/ACCESS.2018.2868924
[18]

Jiang Y, Xu K, Gai W, Salhibet S. 2022. Emergency response for tackling major accidental toxic gas releases: What should be done and when? Safety Science 154:105819

doi: 10.1016/j.ssci.2022.105819
[19]

Cao H, Li T, Li S, Fan T. 2017. An integrated emergency response model for toxic gas release accidents based on cellular automata. Annals of Operations Research 255:617−38

doi: 10.1007/s10479-016-2125-4
[20]

Chen Y, Zhang L, Hu J, Liu Z, Xu K. 2022. Emergency response recommendation for long-distance oil and gas pipeline based on an accident case representation model. Journal of Loss Prevention in the Process Industries 77:104779

doi: 10.1016/j.jlp.2022.104779
[21]

Zhang G, Ma J, Lu J. 2009. Emergency management evaluation by a fuzzy multi-criteria group decision support system. Stochastic Environmental Research and Risk Assessment 23:517−27

doi: 10.1007/s00477-008-0237-3
[22]

Yuan C, Cui H, Ma S, Zhang Y, Hu Y, et al. 2019. Analysis method for causal factors in emergency processes of fire accidents for oil-gas storage and transportation based on ISM and MBN. Journal of Loss Prevention in the Process Industries 62:103964

doi: 10.1016/j.jlp.2019.103964
[23]

Huang Y. 2015. Modeling and simulation method of the emergency response systems based on OODA. Knowledge-Based Systems 89:527−540

doi: 10.1016/j.knosys.2015.08.020
[24]

Liu C, Zeng Q, Duan H, Zhou M, Lu F, et al. 2014. E-net modeling and analysis of emergency response processes constrained by resources and uncertain durations. IEEE Transactions on Systems, Man, and Cybernetics: Systems 45:84−96

doi: 10.1109/TSMC.2014.2330555
[25]

Wang R, Li D, Qin M. 2019. Modeling and Analysis of Emergency Response Plan Based on Network Diagram. Journal of Physics: Conference Series 1169:012039

doi: 10.1088/1742-6596/1169/1/012039
[26]

Zhou J, Reniers G. 2022. Petri-net based cooperation modeling and time analysis of emergency response in the context of domino effect prevention in process industries. Reliability Engineering & System Safety 223:108505

doi: 10.1016/j.ress.2022.108505
[27]

Cameron I, Mannan S, Németh E, Park S, Pasman H, et al. 2017. Process hazard analysis, hazard identification and scenario definition: Are the conventional tools sufficient, or should and can we do much better? Process Safety and Environmental Protection 110:53−70

doi: 10.1016/j.psep.2017.01.025
[28]

Palmer PJ. 2004. Evaluating and assessing process hazard analyses. Journal of Hazardous Materials 115:181−92

doi: 10.1016/j.jhazmat.2004.05.032
[29]

Jain P, Rogers W, Pasman H, Mannan M. 2018. A resilience-based integrated process systems hazard analysis (RIPSHA) approach: Part II management system layer. Process Safety and Environmental Protection 118:115−24

doi: 10.1016/j.psep.2018.06.037
[30]

Baybutt P. 2018. On the completeness of scenario identification in process hazard analysis (PHA). Journal of Loss Prevention in the Process Industries 55:492−99

doi: 10.1016/j.jlp.2018.05.010
[31]

Tong R, Yang X, Zhao H, Parker T, Wang Q. 2020. Process safety management in China: Progress and performance over the last 10 years and future development. Process Safety Progress 39:e12147

doi: 10.1002/prs.12147
[32]

Wang F, Gao J, Wang H. 2012. A new intelligent assistant system for HAZOP analysis of complex process plant. Journal of Loss Prevention in the Process Industries 25:636−42

doi: 10.1016/j.jlp.2012.02.001
[33]

Kang J, Guo L. 2016. HAZOP analysis based on sensitivity evaluation. Safety Science 88:26−32

doi: 10.1016/j.ssci.2016.04.018
[34]

George P, Renjith VR. 2021. Evolution of safety and security risk assessment methodologies towards the use of bayesian networks in process industries. Process Safety and Environmental Protection 149:758−75

doi: 10.1016/j.psep.2021.03.031
[35]

Khakzad N, Khan F, Amyotte P. 2013. Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network. Process Safety and Environmental Protection 91:46−53

doi: 10.1016/j.psep.2012.01.005
[36]

Gao P, Li W, Sun Y, Liu S. 2022. Risk assessment for gas transmission station based on cloud model based multilevel Bayesian network from the perspective of multi-flow intersecting theory. Process Safety and Environmental Protection 159:887−898

doi: 10.1016/j.psep.2022.01.036
[37]

Qiu Z, Liang W, Zhang L. 2018. Tracing and prediction analysis of an urban pipeline leakage accident based on the catastrophe DBN model. Journal of Natural Gas Science and Engineering 57:339−48

doi: 10.1016/j.jngse.2018.07.019
[38]

Dunjó J, Fthenakis V, Vílchez J, Arnaldors J. 2010. Hazard and operability (HAZOP) analysis. A literature review. Journal of Hazardous Materials 173:19−32

doi: 10.1016/j.jhazmat.2009.08.076
[39]

Kościelny J, Syfert M, Fajdek B, Kozak A. 2017. The application of a graph of a process in HAZOP analysis in accident prevention system. Journal of Loss Prevention in the Process Industries 50:55−66

doi: 10.1016/j.jlp.2017.09.003
[40]

Solukloei H, Nematifard S, Hesami A, Mohammadi H, Kamalinia M. 2022. A fuzzy-HAZOP/ant colony system methodology to identify combined fire, explosion, and toxic release risk in the process industries. Expert Systems with Applications 192:116418

doi: 10.1016/j.eswa.2021.116418
[41]

Halim SZ, Mannan MS. 2018. A journey to excellence in process safety management. Journal of Loss Prevention in the Process Industries 55:71−79

doi: 10.1016/j.jlp.2018.06.002
[42]

Li W, Zhang L, Liang W. 2016. Job hazard dynamic assessment for non-routine tasks in gas transmission station. Journal of Loss Prevention in the Process Industries 44:459−64

doi: 10.1016/j.jlp.2016.10.018
[43]

Chudleigh MF. 1994. Hazard analysis of a computer based medical diagnostic system. Computer Methods and Programs in Biomedicine 44:45−54

doi: 10.1016/0169-2607(94)90147-3
[44]

Jagtman HM, Hale AR, Heijer T. 2005. A support tool for identifying evaluation issues of road safety measures. Reliability Engineering & System Safety 90:206−16

doi: 10.1016/j.ress.2004.11.002
[45]

Li W, Cao Q, He M, Sun Y. 2018. Industrial non-routine operation process risk assessment using job safety analysis (JSA) and a revised Petri net. Process Safety and Environmental Protection 117:533−38

doi: 10.1016/j.psep.2018.05.029
[46]

Center for Chemical Process Safety, 2008. Guidelines for Hazard Evaluation Procedures (Third Edition). New York: John Wiley & Sons. pp. 259−62

[47]

Wang W, Shen K, Wang B, Dong C, Khan F, et al. 2017. Failure probability analysis of the urban buried gas pipelines using Bayesian networks. Process Safety and Environmental Protection 111:678−86

doi: 10.1016/j.psep.2017.08.040
[48]

BayesFusion, LLC. 2022. GeNIe Modeler: Complete Modeling Freedom. www.bayesfusion.com/genie/