A conceptual framework has been formulated based on an extensive literature review to elucidate the formation mechanism of construction safety resilience. The hypotheses of the construction safety resilience model are statistically validated using questionnaires collected from 361 respondents with experience in railway infrastructure construction projects. The results indicate that both internal and external factors have a positive effect on construction safety resilience. Internal factors play a partially mediating role between external factors and construction safety resilience. Furthermore, it was observed that construction safety risk uncertainty and informatization level moderate the relationships among internal factors, external factors, and construction safety resilience.
AndersonJ. C.GerbingD. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
2.
AyubB.ThaheemM. J.UllahF. (2019). Contingency release during project execution: The contractor's decision-making dilemma. Project Management Journal, 50(6), 734–748. https://doi.org/10.1177/8756972819848250
BergstromJ.van WinsenR.HenriqsonE. (2015). On the rationale of resilience in the domain of safety: A literature review. Reliability Engineering & System Safety, 141, 131–141. https://doi.org/10.1016/j.ress.2015.03.008
5.
BerkesF. (2007). Understanding uncertainty and reducing vulnerability: Lessons from resilience thinking. Natural Hazards, 41(2), 283–295. https://doi.org/10.1007/s11069-006-9036-7
ChengT.TeizerJ. (2013). Real-time resource location data collection and visualization technology for construction safety and activity monitoring applications. Automation in Construction, 34, 3–15. https://doi.org/10.1016/j.autcon.2012.10.017
8.
CleggS. R.PitsisT. S.Rura-PolleyT.MarosszekyM. (2002). Governmentality matters: Designing an alliance culture of inter-organizational collaboration for managing projects. Organization Studies, 23(3), 317–337. https://doi.org/10.1177/0170840602233001
9.
CostellaM. F.SaurinT. A.GuimaresL. B. D. (2009). A method for assessing health and safety management systems from the resilience engineering perspective. Safety Science, 47(8), 1056–1067. https://doi.org/10.1016/j.ssci.2008.11.006
10.
ElkadyS.HernantesJ.MunozM.LabakaL. (2022). What do emergency services and authorities need from society to better handle disasters?International Journal of Disaster Risk Reduction, 72, 102864. https://doi.org/10.1016/j.ijdrr.2022.102864
11.
GeloO.BraakmannD.BenetkaG. (2008). Quantitative and qualitative research: Beyond the debate. Integrative Psychological and Behavioral Science, 42(3), 266–290. https://doi.org/10.1007/s12124-008-9078-3
12.
GuoS. Y.TangB.LiangK. Z.ZhouX. Y.LiJ. C. (2021). Comparative analysis of the patterns of unsafe behaviors in accidents between building construction and urban railway construction. Journal of Construction Engineering and Management, 147(5), 04021027. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002013
13.
HeC. Q.JiaG. S.McCabeB.ChenY. T.SunJ. D. (2019). Impact of psychological capital on construction worker safety behavior: Communication competence as a mediator. Journal of Safety Research, 71, 231–241. https://doi.org/10.1016/j.jsr.2019.09.007
14.
HennelP.RosenkranzC. (2021). Investigating the "socio" in socio-technical development: The case for psychological safety in agile information systems development. Project Management Journal, 52(1), 11–30. https://doi.org/10.1177/8756972820933057
HuY.ChanA. P. C.LeY.JinR. (2015). From construction megaproject management to complex project management: Bibliographic analysis. Journal of Management in Engineering, 31(4), 1–11. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000254
17.
JeschkeK. N. (2022). Understanding how managers balance the paradoxical nature of occupational safety through a practice-driven institutional lens. Safety Science, 147, 105627. https://doi.org/10.1016/j.ssci.2021.105627
18.
LabakaL.HernantesJ.SarriegiJ. M. (2015). Resilience framework for critical infrastructures: An empirical study in a nuclear plant. Reliability Engineering & System Safety, 141, 92–105. https://doi.org/10.1016/j.ress.2015.03.009
19.
LiC. Q.DingL. Y.ZhongB. T. (2019). Highway planning and design in the Qinghai-Tibet Plateau of China: A cost-safety balance perspective. Engineering, 5(2), 337–349. https://doi.org/10.1016/j.eng.2018.12.008
20.
LiuJ. T.SchmidF.LiK. P.ZhengW. (2021). A knowledge graph-based approach for exploring railway operational accidents. Reliability Engineering & System Safety, 207, 107352. https://doi.org/10.1016/j.ress.2020.107352
21.
LiuK.LiuY. M.KouY. Y. (2024). Study on construction safety management in megaprojects from the perspective of resilient governance. Safety Science. 173, 106442. https://doi.org/10.1016/j.ssci.2024.106442
22.
LiuK.LiuY. M.KouY. Y.YangX. X. (2023). Study on dissipative structure of railway infrastructure project management system. Engineering Construction and Architectural Management. https://doi.org/10.1108/ECAM-10-2022-1021
23.
LuC. F.CaiC. X. (2019). Challenges and countermeasures for construction safety during the Sichuan–Tibet Railway Project. Engineering, 5(05), 833–838. https://doi.org/10.1016/j.eng.2019.06.007
MalekitabarH.ArdeshirA.SebtM. H.StouffsR. (2016). Construction safety risk drivers: A BIM approach. Safety Science, 82, 445–455. https://doi.org/10.1016/j.ssci.2015.11.002
26.
MohamadM.TranD. Q. (2021). Risk-based prioritization approach to construction inspections for transportation projects. Journal of Construction Engineering and Management, 147(1), 04020150. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001962
27.
NguyenT. P. K.BeuginJ.MaraisJ. (2014). Method for evaluating an extended Fault Tree to analyse the dependability of complex systems: Application to a satellite-based railway system. Reliability Engineering & System Safety, 133, 300–313. https://doi.org/10.1016/j.ress.2014.09.019
28.
O'NeillC.GopaldasaniV.ComanR. (2022). Factors that influence the effective use of safe work method statements for high-risk construction work in Australia—A literature review. Safety Science, 147, https://doi.org/105628. 10.1016/j.ssci.2021.105628
29.
PavezI.GomezH.LaulieL.GonzalezV. A. (2021). Project team resilience: The effect of group potency and interpersonal trust. International Journal of Project Management, 39(6), 697–708. https://doi.org/10.1016/j.ijproman.2021.06.004
30.
PenalozaG. A.SaurinT. A.FormosoC. T.HerreraI. A. (2020). A resilience engineering perspective of safety performance measurement systems: A systematic literature review. Safety Science, 130, 104864. https://doi.org/10.1016/j.ssci.2020.104864
31.
PregoF. J.SollaM.Nunez-NietoX.AriasP. (2016). Assessing the applicability of ground-penetrating radar to quality control in tunneling construction. Journal of Construction Engineering and Management, 142(5), 06015006. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001095
32.
QiuY. M.ChenH. Q.ShengZ. H.ZhangJ. W.ChengS. P. (2022). Institutional entrepreneurship and megaproject: A case of the Hong Kong-Zhuhai-Macau Bridge. IEEE Transactions on Engineering Management, 69(6), 3053–3067. https://doi.org/10.1109/TEM.2020.3025720
33.
SalasR.HallowellM.BalajiR.BhandariS. (2020). Safety risk tolerance in the construction industry: Cross-cultural analysis. Journal of Construction Engineering and Management, 146(4), 04020022. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001789
34.
SaundersF. C. (2015). Toward high reliability project organizing in safety-critical projects. Project Management Journal, 46(3), 25–35. https://doi.org/10.1002/pmj.21498
35.
ShenW. X.YingW. C. (2022). Large-scale construction programme resilience against creeping disruptions: Towards inter-project coordination. International Journal of Project Management, 40(6), 671–684. https://doi.org/10.1016/j.ijproman.2022.06.004
36.
SheriffA.BouchlaghemD.El-HamalawiA.YeomansS. (2012). Information management in UK-based architecture and engineering organizations: Drivers, constraining factors, and barriers. Journal of Management in Engineering, 28(2), 170–180. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000085
37.
ShiQ. Q.HertoghM.Bosch-RekveldtM.ZhuJ. B.ShengZ. H. (2020). Exploring decision-making complexity in major infrastructure projects: A case study from China. Project Management Journal, 51(6), 617–632. https://doi.org/10.1177/8756972820919205
38.
StackhouseM.TurnerN. (2020). How do organizational practices relate to perceived system safety effectiveness? Perceptions of safety climate and co-worker commitment to safety as workplace safety signals. Journal of Safety Research, 70, 59–69. https://doi.org/10.1016/j.jsr.2019.04.002
39.
TangB.GuoS. Y.LiJ. C.LuW. (2022). Exploring the risk transmission characteristics among unsafe behaviors within urban railway construction accidents. Journal of Civil Engineering and Management, 28(6), 443–456. https://doi.org/10.3846/jcem.2022.16924
40.
TangN.HuH.XuF.ZhuF. F. (2019). Personalized safety instruction system for construction site based on internet technology. Safety Science, 116, 161–169. https://doi.org/10.1016/j.ssci.2019.03.001
41.
TrinhM. T.FengY. B. (2020). Impact of project complexity on construction safety performance: Moderating role of resilient safety culture. Journal of Construction Engineering and Management, 146(2), 04019103. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001758
42.
TsaiM. K. (2016). Improving efficiency in emergency response for construction site fires: An exploratory case study. Journal of Civil Engineering and Management, 22(3), 322–332. https://doi.org/10.3846/13923730.2014.897980
43.
WalkerD. H. T.DavisP. R.StevensonA. (2017). Coping with uncertainty and ambiguity through team collaboration in infrastructure projects. International Journal of Project Management, 35(2), 180–190. https://doi.org/10.1016/j.ijproman.2016.11.001
44.
WangJ. H.KongY. M.FuT. (2019). Expressway crash risk prediction using back propagation neural network: A brief investigation on safety resilience. Accident Analysis and Prevention, 124, 180–192. https://doi.org/10.1016/j.aap.2019.01.007
45.
WangT.GaoS. D.LiX. D.NingX. (2018). A meta-network-based risk evaluation and control method for industrialized building construction projects. Journal of Cleaner Production, 205, 552–564. https://doi.org/10.1016/j.jclepro.2018.09.127
46.
WillemS.LucaB.MendelG. (2013). Complexity and uncertainty: Problem or asset in decision making of mega infrastructure projects?International Journal of Urban and Regional Research, 37(6), 1984–2000. https://doi.org/10.1111/j.1468-2427.2012.01133.x
47.
XuS.LinB. B.ZouP. X. W. (2023). Examining construction group's safety attitude resilience under major disruptions: An agent-based modelling approach. Safety Science, 161, 106071. https://doi.org/10.1016/j.ssci.2023.106071
48.
XuX. X.ZouP. X. W. (2021). Discovery of new safety knowledge from mining large injury dataset in construction. Safety Science, 144, 105481. https://doi.org/10.1016/j.ssci.2021.105481
49.
YuQ. Z.DingL. Y.ZhouC.LuoH. B. (2014). Analysis of factors influencing safety management for metro construction in China. Accident Analysis and Prevention, 68, 131–138. https://doi.org/10.1016/j.aap.2013.07.016
50.
YuanH. P. (2017). Achieving sustainability in railway projects: Major stakeholder concerns. Project Management Journal, 48(5), 115–132. https://doi.org/10.1177/875697281704800508
51.
ZhangS.LoosemoreM.SunindijoR. Y.GalvinS.WuJ.ZhangS. Y. (2022). Assessing safety risk management performance in Chinese subway construction projects: A multistakeholder perspective. Journal of Management in Engineering, 38(4), 05022009. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001062
52.
ZhangW.ZhangX.LuoX. W.ZhaoT. S. (2019). Reliability model and critical factors identification of construction safety management based on system thinking. Journal of Civil Engineering and Management, 25(4), 362–379. https://doi.org/10.3846/jcem.2019.8652
