{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T15:21:51Z","timestamp":1788967311413,"version":"build-2803163510"},"reference-count":81,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Reliability Engineering &amp; System Safety"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.ress.2026.113183","type":"journal-article","created":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T15:25:14Z","timestamp":1784388314000},"page":"113183","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P4","title":["A Coupled Risk Mining Framework to Analyze Excavation Work Accidents: Applying Weighted Association Rule Mining and Complex Networks"],"prefix":"10.1016","volume":"277","author":[{"given":"Chong","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanhui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3680-0398","authenticated-orcid":false,"given":"Yucheng","family":"Hao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ress.2026.113183_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2020.103265","article-title":"Text mining-based construction site accident classification using hybrid supervised machine learning","volume":"118","author":"Cheng","year":"2020","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.113183_bib0002","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110254","article-title":"A data-driven and knowledge graph-based analysis of the risk hazard coupling mechanism in subway construction accidents","volume":"250","author":"Huo","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2024.120280","article-title":"Coupling and causation analysis of risk influencing factors for navigational accidents in ice-covered waters","volume":"320","author":"Fu","year":"2025","journal-title":"Ocean Eng"},{"key":"10.1016\/j.ress.2026.113183_bib0004","doi-asserted-by":"crossref","first-page":"595","DOI":"10.3390\/app15020595","article-title":"Theory of faults (ToF): numerical quality management in complex systems","volume":"15","author":"Yonat","year":"2025","journal-title":"Appl Sci"},{"key":"10.1016\/j.ress.2026.113183_bib0005","doi-asserted-by":"crossref","DOI":"10.1061\/JCEMD4.COENG-15287","article-title":"Human\u2013machine system modeling and safety risk assessment in construction operations incorporating workers\u2019 performance variability","volume":"151","author":"Li","year":"2025","journal-title":"J Constr Eng Manage"},{"key":"10.1016\/j.ress.2026.113183_bib0006","article-title":"Reliability evaluation of a high slope reinforced by anchor based on the stochastic finite-element method: case study","volume":"19","author":"Bian","year":"2023","journal-title":"Case Stud Constr Mater"},{"key":"10.1016\/j.ress.2026.113183_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.rineng.2025.105898","article-title":"Influence of spatially variable fault friction on tunnel-induced fault stability","volume":"27","author":"Mohamed","year":"2025","journal-title":"Results Eng"},{"key":"10.1016\/j.ress.2026.113183_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2025.106852","article-title":"Risk analysis of domino effect of leakage accident of petrochemical pipeline based on analytic hierarchy process and fuzzy fault tree analysis","volume":"187","author":"Diao","year":"2025","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.113183_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.111147","article-title":"Quantum fault trees and minimal cut sets identification","volume":"262","author":"Silva","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0010","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.eswa.2017.01.058","article-title":"An overview of fault tree analysis and its application in model based dependability analysis","volume":"77","author":"Kabir","year":"2017","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.ress.2026.113183_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109784","article-title":"Quantitative risk assessment of industrial hot work using adaptive Bow Tie and Petri Nets","volume":"242","author":"Li","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2023.106248","article-title":"Prioritization of risk mitigation strategies for contact with sharp object accidents using hybrid bow-tie approach","volume":"166","author":"Kuzucuo\u011flu","year":"2023","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.113183_bib0013","doi-asserted-by":"crossref","first-page":"1202","DOI":"10.1016\/j.psep.2024.07.114","article-title":"Risk analysis of petroleum storage tank based on uncertain data incorporated into mapped bow-tie to Bayesian network","volume":"190","author":"Djemai","year":"2024","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.113183_bib0014","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110797","article-title":"An inherent safety assessment tool for storage tank farm layout planning based on dynamic propagation modeling simulation of fire domino effects","volume":"256","author":"Chen","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110532","article-title":"A Monte Carlo-based modeling method for the spatial-temporal evolution process of multi-hazard and higher-order domino effect","volume":"253","author":"Ma","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0016","doi-asserted-by":"crossref","DOI":"10.1016\/j.psep.2025.106924","article-title":"A theoretical framework for chemical storage tank pool fire domino effect prevention based on inherent safety concepts","volume":"196","author":"Gao","year":"2025","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.113183_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.108201","article-title":"A personalized driving risk assessment and rolling prediction method by integrating multiple indicators","volume":"221","author":"Li","year":"2025","journal-title":"Accid Anal Prevent"},{"key":"10.1016\/j.ress.2026.113183_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2024.107619","article-title":"Advanced Bayesian study on inland navigational risk of remotely controlled autonomous ship","volume":"203","author":"Fan","year":"2024","journal-title":"Accid Anal Prevent"},{"key":"10.1016\/j.ress.2026.113183_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2022.108381","article-title":"Interactions among safety risks in metro deep foundation pit projects: an association rule mining-based modeling framework","volume":"221","author":"Fu","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0020","article-title":"Interpretable failure risk assessment for continuous production processes based on association rule mining","volume":"5","author":"Pohlmeyer","year":"2022","journal-title":"Adv Ind Manuf Eng"},{"key":"10.1016\/j.ress.2026.113183_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.jth.2021.101278","article-title":"Classification and association rule mining of road collisions for analyzing the fatal severity, a case study","volume":"23","author":"Momeni Kho","year":"2021","journal-title":"J Transp Health"},{"key":"10.1016\/j.ress.2026.113183_bib0022","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/atr\/8714444","article-title":"Analysis of major road traffic accident causes using a combined method of association rule and complex network","volume":"2025","author":"Huang","year":"2025","journal-title":"J Adv Transp"},{"key":"10.1016\/j.ress.2026.113183_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.ocecoaman.2023.106660","article-title":"Knowledge graph construction based on ship collision accident reports to improve maritime traffic safety","volume":"240","author":"Gan","year":"2023","journal-title":"Ocean Coast Manag"},{"key":"10.1016\/j.ress.2026.113183_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2025.106482","article-title":"Automated knowledge graph-based risk assessment for fall-from-height accidents in construction","volume":"179","author":"Liu","year":"2025","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.113183_bib0025","series-title":"Proceedings of the IEEE region 10 symposium (TENSYMP)","first-page":"1","article-title":"Natural language processing and deep learning models to classify phase of flight in aviation safety occurrences","author":"Nanyonga","year":"2023"},{"key":"10.1016\/j.ress.2026.113183_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2021.106211","article-title":"Identification and analysis of misclassified work-zone crashes using text mining techniques","volume":"159","author":"Sayed","year":"2021","journal-title":"Accid Anal Prevent"},{"key":"10.1016\/j.ress.2026.113183_bib0027","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.jer.2023.07.011","article-title":"Deep learning-based text knowledge classification for whole-process engineering consulting standards","volume":"12","author":"Jianan","year":"2024","journal-title":"J Eng Res"},{"key":"10.1016\/j.ress.2026.113183_bib0028","first-page":"1","article-title":"Accident analysis reinforced by natural language processing: the case of interactions between maritime and diving operations","author":"Cardenas","year":"2025","journal-title":"J Mar Eng Technol"},{"key":"10.1016\/j.ress.2026.113183_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2024.106596","article-title":"A deep-learning approach to leveraging natural hazard indicators for improved safety on construction sites","volume":"177","author":"Kim","year":"2024","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.113183_bib0030","first-page":"495","article-title":"Coupled analysis and simulation of safety risk in subway tunnel construction by shallow-buried excavation method based on system dynamics","volume":"49","author":"Yu","year":"2025","journal-title":"J Intell Fuzzy Syst"},{"key":"10.1016\/j.ress.2026.113183_bib0031","article-title":"Probabilistic tunnel collapse risk evaluation model using analytical hierarchy process (AHP) and Delphi survey technique","volume":"120","author":"Kim","year":"2022","journal-title":"Tunnell Undergr Sp Technol"},{"key":"10.1016\/j.ress.2026.113183_bib0032","doi-asserted-by":"crossref","DOI":"10.3389\/feart.2022.856701","article-title":"A failure probability evaluation method for the collapse of drill-blast tunnels based on a multistate cloud Bayesian network","volume":"10","author":"Meng","year":"2022","journal-title":"Front Earth Sci"},{"key":"10.1016\/j.ress.2026.113183_bib0033","article-title":"Data-driven determination of collapse accident patterns for the mitigation of safety risks at metro construction sites","volume":"127","author":"Zhou","year":"2022","journal-title":"Tunnell Undergr Sp Technol"},{"key":"10.1016\/j.ress.2026.113183_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.110885","article-title":"Developing a deep reinforcement learning model for safety risk prediction at subway construction sites","volume":"257","author":"Zhou","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2023.105193","article-title":"Multi-status Bayesian network for analyzing collapse risk of excavation construction","volume":"158","author":"Lin","year":"2024","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.113183_bib0036","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.127817","article-title":"A multi-model approach to construction site safety: fault trees, Bayesian networks, and ontology reasoning","volume":"288","author":"Shi","year":"2025","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.ress.2026.113183_bib0037","doi-asserted-by":"crossref","first-page":"9265","DOI":"10.3390\/app14209265","article-title":"Analytical hierarchy process for construction safety management and resource allocation","volume":"14","author":"Zeibak-Shini","year":"2024","journal-title":"Appl Sci"},{"key":"10.1016\/j.ress.2026.113183_bib0038","doi-asserted-by":"crossref","DOI":"10.1016\/j.is.2022.102054","article-title":"Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences","volume":"109","author":"Koukaras","year":"2022","journal-title":"Inf Syst"},{"key":"10.1016\/j.ress.2026.113183_bib0039","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2020.105497","article-title":"Application of association rules mining algorithm for hazardous materials transportation crashes on expressway","volume":"142","author":"Hong","year":"2020","journal-title":"Accid Anal Prevent"},{"key":"10.1016\/j.ress.2026.113183_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2021.106346","article-title":"Patterns of near-crash events in a naturalistic driving dataset: applying rules mining","volume":"161","author":"Kong","year":"2021","journal-title":"Accid Anal Prevent"},{"key":"10.1016\/j.ress.2026.113183_bib0041","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2021.105410","article-title":"Safety risk factors comprehensive analysis for construction project: combined cascading effect and machine learning approach","volume":"143","author":"Ma","year":"2021","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.113183_bib0042","doi-asserted-by":"crossref","DOI":"10.1061\/AJRUA6.RUENG-1604","article-title":"Risk analysis of hydrogen refueling station safety accidents based on complex networks and bayesian inference","volume":"11","author":"Kang","year":"2025","journal-title":"ASCE-ASME J Risk Uncertain Eng Syst Part A Civ Eng"},{"key":"10.1016\/j.ress.2026.113183_bib0043","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109413","article-title":"Dynamic risk analysis of accidents chain and system protection strategy based on complex network and node structure importance","volume":"238","author":"Feng","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0044","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2024.106692","article-title":"Risk evolution analysis of gas leakage accidents based on complex network","volume":"182","author":"Ma","year":"2025","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.113183_bib0045","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1108\/SASBE-07-2023-0167","article-title":"Complex infrastructure systems analysis and management: the theory of faults","volume":"14","author":"Yonat","year":"2025","journal-title":"Smart Sustain Built Environ"},{"key":"10.1016\/j.ress.2026.113183_bib0046","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.ijtst.2023.11.004","article-title":"Research on key risk chain mining method for urban rail transit operations: a new approach to risk management","volume":"13","author":"Shi","year":"2024","journal-title":"Int J Transp Sci Technol"},{"key":"10.1016\/j.ress.2026.113183_bib0047","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2023.109720","article-title":"Coupled risk analysis of hospital infection: a multimethod-fusion model combining association rules with complex networks","volume":"186","author":"Zhou","year":"2023","journal-title":"Comput Ind Eng"},{"key":"10.1016\/j.ress.2026.113183_bib0048","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.ress.2019.02.013","article-title":"Combining association rules mining with complex networks to monitor coupled risks","volume":"186","author":"Zhou","year":"2019","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0049","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.111081","article-title":"Two-stage propagation analysis of safety risks in complex underground engineering: an integrated modeling framework","volume":"261","author":"Han","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0050","doi-asserted-by":"crossref","first-page":"110636","DOI":"10.1016\/j.ress.2024.110636","article-title":"Investigation of the risk influential factors of maritime accidents: a novel topology and robustness analytical framework","volume":"254","author":"Cao","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0051","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2022.108889","article-title":"Supervised dynamic probabilistic risk assessment: review and comparison of methods","volume":"230","author":"Maidana","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0052","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2023.106400","article-title":"A comprehensive analysis method of urban rail transit operation accidents and safety management strategies based on text big data","volume":"172","author":"Wang","year":"2024","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.113183_bib0053","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2025.108066","article-title":"A hybrid data mining framework to investigate roadway departure crashes on rural two-lane highways: applying fast and frugal tree with association rules mining","volume":"217","author":"Hossain","year":"2025","journal-title":"Accid Anal Prevent"},{"key":"10.1016\/j.ress.2026.113183_bib0054","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2024.107815","article-title":"Exploring patterns in older pedestrian involved crashes during nighttime","volume":"209","author":"Mimi","year":"2025","journal-title":"Accid Anal Prevent"},{"key":"10.1016\/j.ress.2026.113183_bib0055","series-title":"Proceedings of the 20th international conference on very large data bases, VLDB","first-page":"487","article-title":"Fast algorithms for mining association rules","author":"Agrawal","year":"1994"},{"key":"10.1016\/j.ress.2026.113183_bib0056","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v014.i15","article-title":"Arules-A computational environment for mining association rules and frequent item sets","volume":"14","author":"Hahsler","year":"2005","journal-title":"J Stat Softw"},{"key":"10.1016\/j.ress.2026.113183_bib0057","doi-asserted-by":"crossref","first-page":"107","DOI":"10.3141\/2237-12","article-title":"Data-mining techniques for exploratory analysis of pedestrian crashes","volume":"2237","author":"Montella","year":"2011","journal-title":"Transp Res Record J Transp Res Board"},{"key":"10.1016\/j.ress.2026.113183_bib0058","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2022.108708","article-title":"Modeling and performance analysis of gas leakage emergency disposal process in gas transmission station based on stochastic Petri nets","volume":"226","author":"Liu","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0059","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1016\/j.physa.2017.04.031","article-title":"Power system cascading risk assessment based on complex network theory","volume":"482","author":"Wang","year":"2017","journal-title":"Physica A"},{"key":"10.1016\/j.ress.2026.113183_bib0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2020.107313","article-title":"Method of power network critical nodes identification and robustness enhancement based on a cooperative framework","volume":"207","author":"Wang","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0061","doi-asserted-by":"crossref","first-page":"2923","DOI":"10.1016\/j.net.2024.02.053","article-title":"Invulnerability analysis of nuclear accidents emergency response organization network based on complex network","volume":"56","author":"Chen","year":"2024","journal-title":"Nucl Eng Technol"},{"key":"10.1016\/j.ress.2026.113183_bib0062","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2024.118148","article-title":"Identification of risk key factors and prevention strategies for collision accidents between merchant and fishing vessels in China waters based on complex network","volume":"307","author":"Zhang","year":"2024","journal-title":"Ocean Eng"},{"key":"10.1016\/j.ress.2026.113183_bib0063","doi-asserted-by":"crossref","DOI":"10.1016\/j.ocecoaman.2023.106527","article-title":"Risk evolution and prevention and control strategies of maritime accidents in China's coastal areas based on complex network models","volume":"237","author":"Deng","year":"2023","journal-title":"Ocean Coast Manag"},{"key":"10.1016\/j.ress.2026.113183_bib0064","doi-asserted-by":"crossref","first-page":"1522","DOI":"10.1108\/ECAM-02-2023-0149","article-title":"Risk accumulation assessment method for building construction based on complex network","volume":"32","author":"Cao","year":"2025","journal-title":"Eng Constr Archit Manage"},{"key":"10.1016\/j.ress.2026.113183_bib0065","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1016\/j.ress.2005.05.005","article-title":"Reliability-based failure cause assessment of collapsed bridge during construction","volume":"91","author":"Choi","year":"2006","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0066","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2022.104541","article-title":"Mitigating subway construction collapse risk using Bayesian network modeling","volume":"143","author":"Zhou","year":"2022","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.113183_bib0067","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.autcon.2018.12.016","article-title":"Construction site accident analysis using text mining and natural language processing techniques","volume":"99","author":"Zhang","year":"2019","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.113183_bib0068","doi-asserted-by":"crossref","DOI":"10.1016\/j.aap.2023.106991","article-title":"A content-aware corpus-based model for analysis of marine accidents","volume":"184","author":"Yan","year":"2023","journal-title":"Accid Anal Prevent"},{"key":"10.1016\/j.ress.2026.113183_bib0069","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.127320","article-title":"Enhancing Kendall\u2019s W using genetic algorithm: a computational approach to inter-rater reliability optimization","volume":"278","author":"Shbikat","year":"2025","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.ress.2026.113183_bib0070","doi-asserted-by":"crossref","first-page":"72","DOI":"10.2307\/1412159","article-title":"The proof and measurement of association between two things","volume":"15","author":"Spearman","year":"1904","journal-title":"Am J Psychol"},{"key":"10.1016\/j.ress.2026.113183_bib0071","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.112156","article-title":"DB-DDPG-ET: a novel risk assessment framework for crowd safety during boarding & alighting process at subway platforms","volume":"270","author":"Xu","year":"2026","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0072","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2026.112342","article-title":"A joint probability model for multi-hazard intensity in earthquake-induced rockfall scenarios","volume":"273","author":"Zhao","year":"2026","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0073","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2020.103490","article-title":"Risk assessment and management of excavation system based on fuzzy set theory and machine learning methods","volume":"122","author":"Lin","year":"2021","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.113183_bib0074","article-title":"A novel data-driven optimization framework for unsupervised and multivariate early-warning threshold modification in risk assessment of deep excavations","volume":"238","author":"Wang","year":"2024","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.ress.2026.113183_bib0075","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0304095","article-title":"Identification and evaluation of deep foundation pit construction risks based on Grey-DEMATEL-Fuzzy comprehensive evaluation method","volume":"19","author":"Hao","year":"2024","journal-title":"PLoS One"},{"key":"10.1016\/j.ress.2026.113183_bib0076","doi-asserted-by":"crossref","first-page":"1953","DOI":"10.3390\/buildings14071953","article-title":"Risk coupling analysis of Metro Deep foundation pit construction based on complex networks","volume":"14","author":"Huang","year":"2024","journal-title":"Buildings"},{"key":"10.1016\/j.ress.2026.113183_bib0077","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.110858","article-title":"Safety risk propagation in complex construction projects: insights from metro deep foundation pit projects","volume":"257","author":"Fu","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0078","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2023.110206","article-title":"Safety assessment of excavation system via TOPSIS-based MCDM modelling in fuzzy environment","volume":"138","author":"Lin","year":"2023","journal-title":"Appl Soft Comput"},{"key":"10.1016\/j.ress.2026.113183_bib0079","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110469","article-title":"A hybrid approach integrating case mining (CM) and the Copula Bayesian Network (CBN) for accident causation probabilistic reasoning of building construction collapses","volume":"252","author":"Chen","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.113183_bib0080","article-title":"Study on thermal health and its safety management mode for the working environment","volume":"11","author":"Wang","year":"2023","journal-title":"Front Public Health"},{"key":"10.1016\/j.ress.2026.113183_bib0081","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1002\/sres.70013","article-title":"Research and application of the safety management model \u201cnetwork-wall-field\u201d based on the concept of system safety","volume":"43","author":"Shen","year":"2026","journal-title":"Syst Res Behav Sci"}],"container-title":["Reliability Engineering &amp; System Safety"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832026009920?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832026009920?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T14:51:10Z","timestamp":1788965470000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0951832026009920"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":81,"alternative-id":["S0951832026009920"],"URL":"https:\/\/doi.org\/10.1016\/j.ress.2026.113183","relation":{},"ISSN":["0951-8320"],"issn-type":[{"value":"0951-8320","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A Coupled Risk Mining Framework to Analyze Excavation Work Accidents: Applying Weighted Association Rule Mining and Complex Networks","name":"articletitle","label":"Article Title"},{"value":"Reliability Engineering & System Safety","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ress.2026.113183","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"113183"}}