基於不安全行為規則防範營建工程專案意外發生之研究

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姓名	穆奕廷(Achmad Muhyidin Arifai) 查詢紙本館藏	畢業系所	土木系營建管理博士班
論文名稱	基於不安全行為規則防範營建工程專案意外發生之研究 (Unsafe behavior-based rules toward accident prevention for construction projects)
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摘要(中)	僱員採取的任何無視安全法規、標准或慣例的行動都被視為不安全行為。建築工地事故的主要原因之一是建築工人的不安全行為。由於可以減少事故的發生，對工人不安全行為的研究已經引起了很多人的關注。然而，由於來自建築工地的數據不足，很難評估不安全行為。因此，本研究的目標是調查基於不安全行為的預防建築事故的準則和潛在因素。通過訓練有素的調查員，從一個建築工地記錄了2.207個不安全行為。違反《職業安全與健康設備和措施條例》是80%的風險活動的原因。在設定的置信度大於90%的情況下，發現了13條主要規則來解釋基於不安全行為模式的建築事故預防。為了調查印度尼西亞建築工地發生不安全行為的可能性，進行了一項案例研究。印度尼西亞的專業建築工人完成了108份關於不安全行為的問卷調查。使用探索性因子分析提取了三個共同的變量，在列為問卷問題的23個不同的不安全行為中確定了模型的結構。研究結果不僅闡明了不安全行為、安全行為和安全氛圍之間的聯繫，而且還可以幫助安全從業人員針對每種不安全行為製定有效的策略。通過比較兩個國家和兩種方法的結果，還強調了重要的發現。
摘要(英)	Any action taken by an employee that disregards safety regulations, standards, or practices is considered unsafe behavior. One of the main reasons for accidents on construction sites is unsafe construction worker behavior. Since it reduces the incidence of accidents, the study of unsafe worker behaviors has drawn a lot of attention. However, inadequate data from construction sites make it difficult to assess unsafe behavior. Therefore, the goal of this study is to investigate the guidelines and latent factors for preventing construction accidents based on unsafe behaviors. By trained surveyors, 2.207 unsafe behaviors were recorded from a construction site. The breach of the Regulation for the Occupational Safety and Health Equipment and Measure is to blame for 80% of risky activities. With the settings confidence value greater than 90%, 13 major rules are found to explain construction accident prevention based on unsafe behavior patterns. To investigate the likelihood of unsafe behavior occurring on construction sites in Indonesia, a case study was conducted. Professional construction workers in Indonesia completed 108 questionnaire questionnaires about unsafe behavior. Three common variables were extracted using exploratory factor analysis to pinpoint the model′s structure among 23 distinct unsafe behaviors listed as questionnaire questions. The results not only clarify the connection between unsafe behaviors, safety behavior, and safety climate but also can assist the safety practitioners to formulate an effective strategy for each type of unsafe behavior. Essential findings by comparing the results for both countries and both methodologies were also highlighted.
關鍵字(中)	★ 安全氛圍 ★ 安全行為 ★ 建築安全 ★ 因素分析 ★ 關聯規則 ★ 不安全行為 ★ 數據挖掘	關鍵字(英)	★ safety climate ★ safety behavior ★ construction safety ★ factor analysis ★ association rules ★ unsafe behavior ★ data mining
論文目次	ABSTRACT i 摘要 ii TABLE OF CONTENTS iii LIST OF FIGURES vi LIST OF TABLES viii CHAPTER I INTRODUCTION 1 1.1. Research Background 1 1.2. Research Objectives 4 1.3. Research Scope and Limitation 4 1.4. Methodology 4 1.5. Research Organization 5 CHAPTER II LITERATURE REVIEW 7 2.1. Safety Climate 7 2.2.1. Common Definitions 7 2.2.2. Safety Climate Dimension 8 2.2.3. Safety Climate for Workplace safety climate 9 2.2.4. Relationship between safety climate and safety behavior 10 2.2.5. The structure model of safety climate 12 2.2. Safety Behavior 13 2.3. Unsafe Behavior 14 2.3.1. Influencing Factor 14 2.3.2. Impact 16 2.3.3. Prevention 17 2.4. Accident Causation 17 2.4.1. Heinrich’s Domino Theory 19 2.4.2. Swiss Cheese Model from Reason 20 2.5. Occupational Safety and Health in Taiwan 21 2.5.1. The causes of occupational accidents in Taiwan′s construction sector 22 2.5.2. Construction Safety Success Factors in Taiwan 24 2.5.3. Construction Accident Causation and Influence Model in Taiwan 25 2.5.4. Taiwanese building construction sites′ safety climate and employee safety behavior 28 2.5.5. Taiwan′s Legal System for Occupational Safety and Health 29 2.6. Data Mining in Construction Health and Safety Research 30 2.7. Association Rules Mining 33 2.7.1. Basic Concept of Association Rules 33 2.7.2. Application of Association Rules 34 2.8. Factor Analysis 38 2.8.1. Conceptual Basis of Factor Analysis 38 2.8.2. Application of Factor Analysis 40 CHAPTER III SITE INVESTIGATION AND OBSERVATION SAMPLING 43 3.1. On-Site Data Collection 43 3.2. Data Analysis 45 3.2.1. Unsafe behaviors 45 3.2.2. Category 47 3.2.3. Regulations and Laws 48 CHAPTER IV ASSOCIATION RULE MINING 51 4.1. Database 51 4.1.1. Simplification of the unsafe behaviors 51 4.1.2. Division of Unsafe Behaviors According to Regulations and Laws 52 4.2. Rule Mining Process 53 4.2.1. Data Set A 54 4.2.1. Data Set B 54 4.2.1. Data Set C 56 4.3. Discussion 57 CHAPTER V CASE STUDY IN INDONESIA 61 5.1. Data Collection 61 5.2. Factor Analysis 67 5.3. Research Finding 78 5.3.1. Factor I Safety Operation 78 5.3.2. Factor II Safety Inspection 79 5.3.3. Factor III Safety Awareness 80 5.4. Comparison 81 CHAPTER VI CONCLUSIONS 85 6.1. Conclusions 85 6.2. Suggestions 87 REFERENCES 89
參考文獻	[1] “WHO/ILO: Almost 2 million people die from work-related causes each year,” Sep. 17, 2021. http://www.ilo.org/global/about-the-ilo/newsroom/news/WCMS_819705/lang--en/index.htm (accessed Jun. 06, 2022). [2] “Conducting Labour Inspections on Construction - A guide for labour inspectors,” Report, Aug. 2017. Accessed: Jun. 06, 2022. [Online]. Available: https://www.ilo.org/global/topics/labour-administration-inspection/resources-library/publications/WCMS_570678/lang--en/index.htm [3] “TABLE A-1. Fatal occupational injuries by industry and event or exposure, all United States, 2020.” https://www.bls.gov/iif/oshwc/cfoi/cftb0340.htm (accessed Jun. 06, 2022). [4] C.-W. Cheng, C.-C. Lin, and S.-S. Leu, “Use of association rules to explore cause–effect relationships in occupational accidents in the Taiwan construction industry,” Safety Science, vol. 48, no. 4, pp. 436–444, Apr. 2010, doi: 10.1016/j.ssci.2009.12.005. [5] “occupational-accident-statistics-in-2020.pdf.” Accessed: Aug. 18, 2022. [Online]. Available: https://www.osha.gov.tw/media/7188893/occupational-accident-statistics-in-2020.pdf [6] S. Guo, P. Zhang, and L. Ding, “Time-statistical laws of workers’ unsafe behavior in the construction industry: A case study,” 2019, doi: 10.1016/J.PHYSA.2018.09.091. [7] M. T. Newaz, P. Davis, M. Jefferies, and M. Pillay, “Examining the Psychological Contract as Mediator between the Safety Behavior of Supervisors and Workers on Construction Sites,” Journal of Construction Engineering and Management, vol. 146, no. 1, p. 04019094, Jan. 2020, doi: 10.1061/(ASCE)CO.1943-7862.0001722. [8] B. H. W. Guo, T. W. Yiu, and V. A. González, “Predicting safety behavior in the construction industry: Development and test of an integrative model,” Safety Science, vol. 84, pp. 1–11, Apr. 2016, doi: 10.1016/j.ssci.2015.11.020. [9] JackC. P. Cheng, P. K.-Y. Wong, H. Luo, M. Wang, and P. H. Leung, “Vision-based monitoring of site safety compliance based on worker re-identification and personal protective equipment classification,” Automation in Construction, vol. 139, p. 104312, Jul. 2022, doi: 10.1016/j.autcon.2022.104312. [10] X. Bao, Y. Sheng, and Y. Xia, “Research on Unsafe Behavior of Construction Workers Under the Bidirectional Effect of Formal Rule Awareness and Conformity Mentality,” Frontiers in Psychology, vol. 12, Dec. 2021, doi: 10.3389/fpsyg.2021.794394. [11] C.-W. Cheng, C.-C. Lin, and S.-S. Leu, “Use of association rules to explore cause–effect relationships in occupational accidents in the Taiwan construction industry,” Safety Science, vol. 48, no. 4, pp. 436–444, Apr. 2010, doi: 10.1016/j.ssci.2009.12.005. [12] C.-W. Liao and Y.-H. Perng, “Data mining for occupational injuries in the Taiwan construction industry,” Safety Science, vol. 46, no. 7, pp. 1091–1102, Aug. 2008, doi: 10.1016/j.ssci.2007.04.007. [13] S. Guo, J. He, J. Li, and B. Tang, “Exploring the Impact of Unsafe Behaviors on Building Construction Accidents Using a Bayesian Network,” International Journal of Environmental Research and Public Health, vol. 17, 2019, doi: 10.3390/ijerph17010221. [14] M. Mohajeri, A. Ardeshir, M. T. Banki, and H. Malekitabar, “Discovering causality patterns of unsafe behavior leading to fall hazards on construction sites,” The international journal of construction management, pp. 1–11, 2020, doi: 10.1080/15623599.2020.1839704. [15] Q. Zhou, D. Fang, and S. Mohamed, “Safety Climate Improvement: Case Study in a Chinese Construction Company,” Journal of Construction Engineering and Management, vol. 137, no. 1, pp. 86–95, Jan. 2011, doi: 10.1061/(ASCE)CO.1943-7862.0000241. [16] T. Luo, “Safety climate: Current status of the research and future prospects,” Journal of Safety Science and Resilience, vol. 1, no. 2, pp. 106–119, Dec. 2020, doi: 10.1016/j.jnlssr.2020.09.001. [17] D. Zohar, “Safety climate in industrial organizations: Theoretical and applied implications,” Journal of Applied Psychology, vol. 65, no. 1, pp. 96–102, 1980, doi: 10.1037/0021-9010.65.1.96. [18] H. Tohidi and M. M. Jabbari, “Organizational culture and leadership,” Procedia - Social and Behavioral Sciences, vol. 31, pp. 856–860, Jan. 2012, doi: 10.1016/j.sbspro.2011.12.156. [19] A. M. Williamson, A.-M. Feyer, D. Cairns, and D. Biancotti, “The development of a measure of safety climate: The role of safety perceptions and attitudes,” Safety Science, vol. 25, no. 1, pp. 15–27, Feb. 1997, doi: 10.1016/S0925-7535(97)00020-9. [20] R. Kennedy and B. Kirwan, “Development of a Hazard and Operability-based method for identifying safety management vulnerabilities in high risk systems,” Safety Science, vol. 30, no. 3, pp. 249–274, Dec. 1998, doi: 10.1016/S0925-7535(98)00025-3. [21] K. J. Mearns and R. Flin, “Assessing the state of organizational safety—culture or climate?,” Curr Psychol, vol. 18, no. 1, pp. 5–17, Mar. 1999, doi: 10.1007/s12144-999-1013-3. [22] P.-C. Liao, G. Lei, D. Fang, and W. Liu, “The relationship between communication and construction safety climate in China,” KSCE J Civ Eng, vol. 18, no. 4, pp. 887–897, May 2014, doi: 10.1007/s12205-014-0492-4. [23] H. Chen, H. Li, and Y. M. Goh, “A review of construction safety climate: Definitions, factors, relationship with safety behavior and research agenda,” Safety Science, vol. 142, p. 105391, Oct. 2021, doi: 10.1016/j.ssci.2021.105391. [24] J. M. Beus, L. Y. Dhanani, and M. A. McCord, “A meta-analysis of personality and workplace safety: Addressing unanswered questions,” Journal of Applied Psychology, vol. 100, no. 2, pp. 481–498, 2015, doi: 10.1037/a0037916. [25] M. J. Burke, S. A. Sarpy, P. E. Tesluk, and K. Smith-Crowe, “General Safety Performance: A Test of a Grounded Theoretical Model,” Personnel Psychology, vol. 55, no. 2, pp. 429–457, 2002, doi: 10.1111/j.1744-6570.2002.tb00116.x. [26] M. A. Griffin and A. Neal, “Perceptions of safety at work: a framework for linking safety climate to safety performance, knowledge, and motivation.,” Journal of occupational health psychology, vol. 5, no. 3, pp. 347–358, 2000, doi: 10.1037/1076-8998.5.3.347. [27] A. Neal, M. A. Griffin, and P. M. Hart, “The impact of organizational climate on safety climate and individual behavior,” Safety Science, vol. 34, no. 1, pp. 99–109, Feb. 2000, doi: 10.1016/S0925-7535(00)00008-4. [28] N. Xia, Q. Xie, M. A. Griffin, G. Ye, and J. Yuan, “Antecedents of safety behavior in construction: A literature review and an integrated conceptual framework,” Accident Analysis & Prevention, vol. 148, p. 105834, Dec. 2020, doi: 10.1016/j.aap.2020.105834. [29] P. D, Human Error Reduction and Safety Management, 3rd Edition \| Wiley, 3 vols. New York, NY, USA: STPM Press, 1982. [30] R. M. Choudhry and D. Fang, “Why operatives engage in unsafe work behavior: Investigating factors on construction sites,” Safety Science, vol. 46, no. 4, pp. 566–584, Apr. 2008, doi: 10.1016/j.ssci.2007.06.027. [31] Y. Khosravi, H. Asilian-Mahabadi, E. Hajizadeh, N. Hassanzadeh-Rangi, H. Bastani, and A. H. Behzadan, “Factors Influencing Unsafe Behaviors and Accidents on Construction Sites: A Review,” International Journal of Occupational Safety and Ergonomics, vol. 20, no. 1, pp. 111–125, Jan. 2014, doi: 10.1080/10803548.2014.11077023. [32] J. E. Dodoo and H. Al-Samarraie, “Factors leading to unsafe behavior in the twenty first century workplace: a review,” Manag Rev Q, vol. 69, no. 4, pp. 391–414, Nov. 2019, doi: 10.1007/s11301-019-00157-6. [33] Q. Meng, W. Liu, Z. Li, and X. Hu, “Influencing Factors, Mechanism and Prevention of Construction Workers’ Unsafe Behaviors: A Systematic Literature Review,” International Journal of Environmental Research and Public Health, vol. 18, no. 5, Art. no. 5, Jan. 2021, doi: 10.3390/ijerph18052644. [34] Y. K. Yang and B. S. Kim, “Study on the Structural Relation between the Level of Fatigue and Stress of Construction Workers and Disaster Risks,” Journal of the Korea Safety Management & Science, vol. 16, no. 3, pp. 35–44, 2014, doi: 10.12812/ksms.2014.16.3.35. [35] D. Fang, Z. Jiang, M. Zhang, and H. Wang, “An experimental method to study the effect of fatigue on construction workers’ safety performance,” Safety Science, vol. 73, pp. 80–91, Mar. 2015, doi: 10.1016/j.ssci.2014.11.019. [36] D. Wang, X. Wang, and N. Xia, “How safety-related stress affects workers’ safety behavior: The moderating role of psychological capital,” Safety Science, vol. 103, pp. 247–259, Mar. 2018, doi: 10.1016/j.ssci.2017.11.020. [37] R. Tong, X. Wang, L. Wang, and X. Hu, “A dual perspective on work stress and its effect on unsafe behaviors: The mediating role of fatigue and the moderating role of safety climate,” Process Safety and Environmental Protection, Apr. 2022, doi: 10.1016/j.psep.2022.04.018. [38] Q. Liang, Z. Zhou, G. Ye, and L. Shen, “Unveiling the mechanism of construction workers’ unsafe behaviors from an occupational stress perspective: A qualitative and quantitative examination of a stress–cognition–safety model,” Safety Science, vol. 145, p. 105486, Jan. 2022, doi: 10.1016/j.ssci.2021.105486. [39] C. P. Sing, P. E. D. Love, I. W. H. Fung, and D. J. Edwards, “Personality and Occupational Accidents: Bar Benders in Guangdong Province, Shenzhen, China,” Journal of Construction Engineering and Management, vol. 140, no. 7, p. 05014005, Jul. 2014, doi: 10.1061/(ASCE)CO.1943-7862.0000858. [40] Y. Gao, V. A. González, and T. W. Yiu, “Exploring the Relationship between Construction Workers’ Personality Traits and Safety Behavior,” Journal of Construction Engineering and Management, vol. 146, no. 3, p. 04019111, Mar. 2020, doi: 10.1061/(ASCE)CO.1943-7862.0001763. [41] N. Xia, Y. Tang, D. Li, and A. Pan, “Safety Behavior among Construction Workers: Influences of Personality and Leadership,” Journal of Construction Engineering and Management, vol. 147, no. 4, p. 04021019, Apr. 2021, doi: 10.1061/(ASCE)CO.1943-7862.0002023. [42] J. Zhang, P. Xiang, R. Zhang, D. Chen, and Y. Ren, “Mediating Effect of Risk Propensity between Personality Traits and Unsafe Behavioral Intention of Construction Workers,” Journal of Construction Engineering and Management, vol. 146, no. 4, p. 04020023, Apr. 2020, doi: 10.1061/(ASCE)CO.1943-7862.0001792. [43] S. Xu, P. X. W. Zou, and H. Luo, “Impact of Attitudinal Ambivalence on Safety Behaviour in Construction,” Advances in Civil Engineering, vol. 2018, p. e7138930, Jul. 2018, doi: 10.1155/2018/7138930. [44] G. Oh, H. Kim, S. Han, C. Hyun, and Y. Cha, “Analysis on Consciousness of Shifting Responsibility triggering Safety accidents at Construction Sites,” Korean Journal of Construction Engineering and Management, vol. 19, no. 6, pp. 55–64, 2018, doi: 10.6106/KJCEM.2018.19.6.055. [45] S. S. Man, A. H. S. Chan, and S. Alabdulkarim, “Quantification of risk perception: Development and validation of the construction worker risk perception (CoWoRP) scale,” Journal of Safety Research, vol. 71, pp. 25–39, Dec. 2019, doi: 10.1016/j.jsr.2019.09.009. [46] C. Burns and S. Conchie, “Risk information source preferences in construction workers,” Employee Relations, vol. 36, no. 1, pp. 70–81, Jan. 2014, doi: 10.1108/ER-06-2013-0060. [47] Y. P. Huang, X. Q. Wang, R. X. Ding, and N. N. Xia, “Risk perception, risk propensity, and unsafe behavior: An empirical study of workers in Chinese construction industry,” in 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Dec. 2016, pp. 1121–1125. doi: 10.1109/IEEM.2016.7798052. [48] X. Meng, Q. Liu, X. Luo, and X. Zhou, “Risk assessment of the unsafe behaviours of humans in fatal gas explosion accidents in China’s underground coal mines,” Journal of Cleaner Production, vol. 210, pp. 970–976, Feb. 2019, doi: 10.1016/j.jclepro.2018.11.067. [49] S. S. Man, A. H. S. Chan, S. Alabdulkarim, and T. Zhang, “The effect of personal and organizational factors on the risk-taking behavior of Hong Kong construction workers,” Safety Science, vol. 136, p. 105155, Apr. 2021, doi: 10.1016/j.ssci.2020.105155. [50] A. P. C. Chan, A. A. Javed, S. Lyu, C. K. H. Hon, and F. K. W. Wong, “Strategies for Improving Safety and Health of Ethnic Minority Construction Workers,” Journal of Construction Engineering and Management, vol. 142, no. 9, p. 05016007, Sep. 2016, doi: 10.1061/(ASCE)CO.1943-7862.0001148. [51] A. J. Al-Bayati, “Satisfying the Need for Diversity Training for Hispanic Construction Workers and Their Supervisors at US Construction Workplaces: A Case Study,” Journal of Construction Engineering and Management, vol. 145, no. 6, p. 05019007, Jun. 2019, doi: 10.1061/(ASCE)CO.1943-7862.0001663. [52] M. Fargnoli and M. Lombardi, “Preliminary Human Safety Assessment (PHSA) for the Improvement of the Behavioral Aspects of Safety Climate in the Construction Industry,” Buildings, vol. 9, no. 3, Art. no. 3, Mar. 2019, doi: 10.3390/buildings9030069. [53] S. M. Khoshnava et al., “Assessing the impact of construction industry stakeholders on workers’ unsafe behaviours using extended decision making approach,” Automation in Construction, vol. 118, p. 103162, Oct. 2020, doi: 10.1016/j.autcon.2020.103162. [54] C. He, B. McCabe, G. Jia, and J. Sun, “Effects of Safety Climate and Safety Behavior on Safety Outcomes between Supervisors and Construction Workers,” Journal of Construction Engineering and Management, vol. 146, no. 1, p. 04019092, Jan. 2020, doi: 10.1061/(ASCE)CO.1943-7862.0001735. [55] B. Choi and S. Lee, “An Empirically Based Agent-Based Model of the Sociocognitive Process of Construction Workers’ Safety Behavior,” Journal of Construction Engineering and Management, vol. 144, no. 2, p. 04017102, Feb. 2018, doi: 10.1061/(ASCE)CO.1943-7862.0001421. [56] D. Fang, C. Wu, and H. Wu, “Impact of the Supervisor on Worker Safety Behavior in Construction Projects,” Journal of Management in Engineering, vol. 31, no. 6, p. 04015001, Nov. 2015, doi: 10.1061/(ASCE)ME.1943-5479.0000355. [57] A. Zahiri Harsini, F. Ghofranipour, H. Sanaeinasab, and F. Amin Shokravi, “A randomised controlled trial of an educational intervention to promote safe behaviours in petrochemical workers: a study protocol,” BMC Public Health, vol. 19, no. 1, p. 776, Jun. 2019, doi: 10.1186/s12889-019-7126-1. [58] D. K. Kim and S. Park, “Business Cycle and Occupational Accidents in Korea,” Saf Health Work, vol. 11, no. 3, pp. 314–321, Sep. 2020, doi: 10.1016/j.shaw.2020.05.002. [59] K. J. Nielsen, “Improving safety culture through the health and safety organization: a case study,” J Safety Res, vol. 48, pp. 7–17, Feb. 2014, doi: 10.1016/j.jsr.2013.10.003. [60] W. Fang, L. Ding, H. Luo, and P. E. D. Love, “Falls from heights: A computer vision-based approach for safety harness detection,” Automation in Construction, vol. 91, pp. 53–61, Jul. 2018, doi: 10.1016/j.autcon.2018.02.018. [61] J. Chen, R. Q. Wang, Z. Lin, and X. Guo, “Measuring the cognitive loads of construction safety sign designs during selective and sustained attention,” Safety Science, vol. 105, pp. 9–21, Jun. 2018, doi: 10.1016/j.ssci.2018.01.020. [62] L. Hu, D. Feng, Y. Li, J. Xu, and J. Zheng, “The Effect of Safety Signs on the Monitoring of Conflict and Erroneous Response,” Frontiers in Psychology, vol. 13, 2022, doi: 10.3389/fpsyg.2022.830929. [63] H. Li, X. Li, X. Luo, and J. Siebert, “Investigation of the causality patterns of non-helmet use behavior of construction workers,” Automation in Construction, vol. 80, pp. 95–103, Aug. 2017, doi: 10.1016/j.autcon.2017.02.006. [64] M. Zhang, Z. Cao, Z. Yang, and X. Zhao, “Utilizing Computer Vision and Fuzzy Inference to Evaluate Level of Collision Safety for Workers and Equipment in a Dynamic Environment,” Journal of Construction Engineering and Management, vol. 146, no. 6, p. 04020051, Jun. 2020, doi: 10.1061/(ASCE)CO.1943-7862.0001802. [65] W. Umer, “Simultaneous monitoring of physical and mental stress for construction tasks using physiological measures,” Journal of Building Engineering, vol. 46, p. 103777, Apr. 2022, doi: 10.1016/j.jobe.2021.103777. [66] S. Xu and N. G. Hall, “Fatigue, personnel scheduling and operations: Review and research opportunities,” European Journal of Operational Research, vol. 295, no. 3, pp. 807–822, Dec. 2021, doi: 10.1016/j.ejor.2021.03.036. [67] S. Guo, J. He, J. Li, and B. Tang, “Exploring the Impact of Unsafe Behaviors on Building Construction Accidents Using a Bayesian Network,” Int J Environ Res Public Health, vol. 17, no. 1, p. E221, Dec. 2019, doi: 10.3390/ijerph17010221. [68] C. Zhou et al., “Human dynamics in near-miss accidents resulting from unsafe behavior of construction workers,” Physica A: Statistical Mechanics and its Applications, vol. 530, p. 121495, Sep. 2019, doi: 10.1016/j.physa.2019.121495. [69] J. H. Saleh, E. A. Saltmarsh, F. M. Favarò, and L. Brevault, “Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems,” Reliability Engineering & System Safety, vol. 114, pp. 148–154, Jun. 2013, doi: 10.1016/j.ress.2013.01.006. [70] M. Mazlina Zaira and B. H. W. Hadikusumo, “Structural equation model of integrated safety intervention practices affecting the safety behaviour of workers in the construction industry,” Safety Science, vol. 98, pp. 124–135, Oct. 2017, doi: 10.1016/j.ssci.2017.06.007. [71] F. Zhang, H. Fleyeh, X. Wang, and M. Lu, “Construction site accident analysis using text mining and natural language processing techniques,” Automation in Construction, vol. 99, pp. 238–248, Mar. 2019, doi: 10.1016/j.autcon.2018.12.016. [72] W. DeCamp and K. Herskovitz, “5 - The Theories of Accident Causation,” in Security Supervision and Management (Fourth Edition), S. J. Davies, C. A. Hertig, and B. P. Gilbride, Eds. Butterworth-Heinemann, 2015, pp. 71–78. doi: 10.1016/B978-0-12-800113-4.00005-5. [73] “2020-annual-report.pdf.” Accessed: Jul. 25, 2022. [Online]. Available: https://www.osha.gov.tw/media/7189208/2020-annual-report.pdf [74] C.-W. Cheng, S.-S. Leu, Y.-M. Cheng, T.-C. Wu, and C.-C. Lin, “Applying data mining techniques to explore factors contributing to occupational injuries in Taiwan’s construction industry,” Accident Analysis & Prevention, vol. 48, pp. 214–222, Sep. 2012, doi: 10.1016/j.aap.2011.04.014. [75] W. T. Chen et al., “Construction Safety Success Factors: A Taiwanese Case Study,” Sustainability, vol. 12, no. 16, Art. no. 16, Jan. 2020, doi: 10.3390/su12166326. [76] Y.-P. Chang, “Construction Worker Safety and Accident Prevention in Taiwan,” PhD, The University of Bristol, Bristol, 2020. Accessed: Jul. 14, 2022. [Online]. Available: https://research-information.bris.ac.uk/en/studentTheses/construction-worker-safety-and-accident-prevention-in-taiwan [77] W. T. Chen, H. C. Merrett, Y.-H. Huang, T. A. Bria, and Y.-H. Lin, “Exploring the Relationship between Safety Climate and Worker Safety Behavior on Building Construction Sites in Taiwan,” Sustainability, vol. 13, no. 6, Art. no. 6, Jan. 2021, doi: 10.3390/su13063326. [78] T.-Y. Hsieh, M.-C. Liao, and H.-W. Tai, “Comparison of Legal System of Occupational Safety and Health between Mainland China and Taiwan,” Open Journal of Safety Science and Technology, vol. 9, no. 4, Art. no. 4, Nov. 2019, doi: 10.4236/ojsst.2019.94008. [79] “Laws & Regulations Database of The Republic of China (Taiwan).” https://law.moj.gov.tw/Eng/index.aspx (accessed Jul. 17, 2022). [80] “Law Source Retrieving System Labor Laws And Regulations-Article Content.” https://laws.mol.gov.tw/Eng/FLAWDAT0201.aspx?id=FL014930 (accessed Jul. 17, 2022). [81] “Law Source Retrieving System Labor Laws And Regulations-Article Content.” https://laws.mol.gov.tw/Eng/FLAWDAT0201.aspx?id=FL015071 (accessed Jul. 17, 2022). [82] H. Yan, N. Yang, Y. Peng, and Y. Ren, “Data mining in the construction industry: Present status, opportunities, and future trends,” Automation in Construction, vol. 119, 2020, doi: 10.1016/j.autcon.2020.103331. [83] K. S, “Association rules mining : A recent overview,” International Transactions on Computer Science and Engineering, vol. 32, no. 1, pp. 71–82, 2006. [84] B. Zhong, X. Pan, P. E. D. Love, L. Ding, and W. Fang, “Deep learning and network analysis: Classifying and visualizing accident narratives in construction,” Automation in Construction, vol. 113, p. 103089, May 2020, doi: 10.1016/j.autcon.2020.103089. [85] A. J.-P. Tixier, M. R. Hallowell, B. Rajagopalan, and D. Bowman, “Construction Safety Clash Detection: Identifying Safety Incompatibilities among Fundamental Attributes using Data Mining,” Automation in Construction, vol. 74, pp. 39–54, Feb. 2017, doi: 10.1016/j.autcon.2016.11.001. [86] Y. Zhao, Q. Chen, W. Cao, J. Yang, J. Xiong, and G. Gui, “Deep Learning for Risk Detection and Trajectory Tracking at Construction Sites,” IEEE Access, vol. 7, pp. 30905–30912, 2019, doi: 10.1109/ACCESS.2019.2902658. [87] Q. Fang et al., “A deep learning-based method for detecting non-certified work on construction sites,” Advanced Engineering Informatics, vol. 35, pp. 56–68, Jan. 2018, doi: 10.1016/j.aei.2018.01.001. [88] X. Wang, X. Huang, Y. Luo, J. Pei, and M. Xu, “Improving Workplace Hazard Identification Performance Using Data Mining,” Journal of Construction Engineering and Management, vol. 144, no. 8, p. 04018068, Aug. 2018, doi: 10.1061/(ASCE)CO.1943-7862.0001505. [89] M. Amiri, A. Ardeshir, and M. H. Fazel Zarandi, “Fuzzy probabilistic expert system for occupational hazard assessment in construction,” Safety Science, vol. 93, pp. 16–28, Mar. 2017, doi: 10.1016/j.ssci.2016.11.008. [90] A. J.-P. Tixier, M. R. Hallowell, B. Rajagopalan, and D. Bowman, “Application of machine learning to construction injury prediction,” Automation in Construction, vol. 69, pp. 102–114, Sep. 2016, doi: 10.1016/j.autcon.2016.05.016. [91] B. U. Ayhan and O. B. Tokdemir, “Predicting the outcome of construction incidents,” Safety Science, vol. 113, pp. 91–104, Mar. 2019, doi: 10.1016/j.ssci.2018.11.001. [92] J. Wu, N. Cai, W. Chen, H. Wang, and G. Wang, “Automatic detection of hardhats worn by construction personnel: A deep learning approach and benchmark dataset,” Automation in Construction, vol. 106, p. 102894, Oct. 2019, doi: 10.1016/j.autcon.2019.102894. [93] Y. Zhou, C. Li, L. Ding, P. Sekula, P. E. D. Love, and C. Zhou, “Combining association rules mining with complex networks to monitor coupled risks,” Reliability Engineering & System Safety, vol. 186, pp. 194–208, Jun. 2019, doi: 10.1016/j.ress.2019.02.013. [94] C. Q. X. Poh, C. U. Ubeynarayana, and Y. M. Goh, “Safety leading indicators for construction sites: A machine learning approach,” Automation in Construction, vol. 93, pp. 375–386, Sep. 2018, doi: 10.1016/j.autcon.2018.03.022. [95] B. L. dos Reis et al., “Data mining in occupational safety and health: a systematic mapping and roadmap,” Prod., vol. 31, Oct. 2021, doi: 10.1590/0103-6513.20210048. [96] A. Badri, B. Boudreau-Trudel, and A. S. Souissi, “Occupational health and safety in the industry 4.0 era: A cause for major concern?,” Safety Science, vol. 109, pp. 403–411, Nov. 2018, doi: 10.1016/j.ssci.2018.06.012. [97] R. Agrawal, T. Imieliński, and A. Swami, “Mining association rules between sets of items in large databases,” SIGMOD Rec., vol. 22, no. 2, pp. 207–216, Jun. 1993, doi: 10.1145/170036.170072. [98] U. Y.Bhat and P. Patel, “A Recent Overview: Rare Association Rule Mining,” International Journal of Computer Applications, vol. 107, pp. 1–4, Dec. 2014, doi: 10.5120/18848-9893. [99] V. Kotu and B. Deshpande, “Chapter 6 - Association Analysis,” in Data Science (Second Edition), V. Kotu and B. Deshpande, Eds. Morgan Kaufmann, 2019, pp. 199–220. doi: 10.1016/B978-0-12-814761-0.00006-X. [100] A. Trillo Cabello, M. Martínez-Rojas, J. A. Carrillo-Castrillo, and J. C. Rubio-Romero, “Occupational accident analysis according to professionals of different construction phases using association rules,” Safety Science, vol. 144, 2021, doi: 10.1016/j.ssci.2021.105457. [101] M. Martínez-Rojas, J. M. Soto-Hidalgo, M. D. Martínez-Aires, and J. C. Rubio-Romero, “An analysis of occupational accidents involving national and international construction workers in Spain using the association rule technique,” International Journal of Occupational Safety and Ergonomics, vol. 28, no. 3, pp. 1490–1501, 2022, doi: 10.1080/10803548.2021.1901433. [102] R. A. Swanson and E. F. Holton, Research in Organizations: Foundations and Methods in Inquiry. Berrett-Koehler Publishers, 2005. [103] G. N. McLean, B. Yang, M.-H. C. Kuo, A. S. Tolbert, and C. Larkin, “Development and initial validation of an instrument measuring managerial coaching skill,” Human Resource Development Quarterly, vol. 16, no. 2, pp. 157–178, 2005, doi: 10.1002/hrdq.1131. [104] C. Spearman, “‘General Intelligence,’ Objectively Determined and Measured,” The American Journal of Psychology, vol. 15, no. 2, pp. 201–292, 1904, doi: 10.2307/1412107. [105] L. Zhang, Q. Liu, X. Wu, and M. J. Skibniewski, “Perceiving Interactions on Construction Safety Behaviors: Workers’ Perspective,” Journal of Management in Engineering, vol. 32, no. 5, p. 04016012, Sep. 2016, doi: 10.1061/(ASCE)ME.1943-5479.0000454. [106] D. P. Fang, F. Xie, X. Y. Huang, and H. Li, “Factor analysis-based studies on construction workplace safety management in China,” International Journal of Project Management, vol. 22, no. 1, pp. 43–49, Jan. 2004, doi: 10.1016/S0263-7863(02)00115-1. [107] C. B. Frazier, T. D. Ludwig, B. Whitaker, and D. S. Roberts, “A hierarchical factor analysis of a safety culture survey,” Journal of Safety Research, vol. 45, pp. 15–28, Jun. 2013, doi: 10.1016/j.jsr.2012.10.015. [108] C. Vigneshkumar and U. R. Salve, “A scientometric analysis and review of fall from height research in construction,” Construction Economics and Building, vol. 20, no. 1, pp. 17–35, 2020, doi: 10.5130/AJCEB.v20i1.6802. [109] Y.-H. Lin, C.-Y. Chen, and T.-W. Wang, “Fatal occupational falls in the Taiwan construction industry,” Journal of the Chinese Institute of Industrial Engineers, vol. 28, no. 8, pp. 586–596, 2011, doi: 10.1080/10170669.2011.647099. [110] C.-F. Chi, T.-C. Chang, and H.-I. Ting, “Accident patterns and prevention measures for fatal occupational falls in the construction industry,” Applied Ergonomics, vol. 36, no. 4, pp. 391–400, Jul. 2005, doi: 10.1016/j.apergo.2004.09.011. [111] Y.-H. Lin, C.-Y. Chen, and T.-W. Wang, “Fatal occupational falls in the Taiwan construction industry,” Journal of the Chinese Institute of Industrial Engineers, vol. 28, no. 8, pp. 586–596, Dec. 2011, doi: 10.1080/10170669.2011.647099. [112] M. C. Rey-Merchán, J. M. Gómez-De-gabriel, A. López-Arquillos, and S. D. Choi, “Analysis of falls from height variables in occupational accidents,” International Journal of Environmental Research and Public Health, vol. 18, no. 24, 2021, doi: 10.3390/ijerph182413417. [113] J. Lim, K. Son, C. Park, and D. Y. Kim, “Suggestions for improving South Korea’s fall accidents prevention technology in the construction industry: Focused on analyzing laws and programs of the United States,” Sustainability (Switzerland), vol. 13, no. 8, 2021, doi: 10.3390/su13084254. [114] A. D. Rafindadi et al., “Analysis of the causes and preventive measures of fatal fall-related accidents in the construction industry,” Ain Shams Engineering Journal, vol. 13, no. 4, p. 101712, Jun. 2022, doi: 10.1016/j.asej.2022.101712. [115] M. Khan, R. Khalid, S. Anjum, N. Khan, S. Cho, and C. Park, “Tag and IoT based safety hook monitoring for prevention of falls from height,” Automation in Construction, vol. 136, p. 104153, Apr. 2022, doi: 10.1016/j.autcon.2022.104153. [116] S. Guo, P. Zhang, and L. Ding, “Time-statistical laws of workers’ unsafe behavior in the construction industry: A case study,” Physica A: Statistical Mechanics and its Applications, vol. 515, pp. 419–429, Feb. 2019, doi: 10.1016/j.physa.2018.09.091. [117] D. K. Sawlani, I. G. So, A. Furinto, and M. Hamsal, “The Effect of Competitive Advantage on Company Performance in the Construction Industry Sector in Indonesia,” Psychology and Education Journal, vol. 58, no. 5, Art. no. 5, Jul. 2021. [118] S. Ito, “Issues in PPP Infrastructure Development in Indonesia,” in Infrastructure Development and Public–Private Partnership: The Case of the Philippines, S. Ito, Ed. Singapore: Springer, 2022, pp. 79–98. doi: 10.1007/978-981-19-1088-3_7. [119] P. Kesai, R. Soegiarso, S. Hardjomuljadi, M. I. Setiawan, D. Abdullah, and D. Napitupulu, “Indonesia Position in The Globalization of Construction Industry,” J. Phys.: Conf. Ser., vol. 1114, p. 012133, Nov. 2018, doi: 10.1088/1742-6596/1114/1/012133. [120] A. Ali, M. Amin, and A. Husin, “Key Success Factors for Safety Programs Implementation in Indonesian Construction Projects,” Feb. 2019. doi: 10.13140/RG.2.2.36301.49127. [121] M. Loosemore, R. Y. Sunindijo, and S. Zhang, “Comparative Analysis of Safety Climate in the Chinese, Australian, and Indonesian Construction Industries,” Journal of Construction Engineering and Management, vol. 146, no. 12, p. 04020129, Dec. 2020, doi: 10.1061/(ASCE)CO.1943-7862.0001934. [122] R. A. Machfudiyanto, Y. Latief, and Robert, “Critical Success Factors to Improve Safety Culture on Construction Project in Indonesia,” IOP Conf. Ser.: Earth Environ. Sci., vol. 258, p. 012016, May 2019, doi: 10.1088/1755-1315/258/1/012016. [123] S. Guo, B. Tang, K. Liang, X. Zhou, and J. Li, “Comparative Analysis of the Patterns of Unsafe Behaviors in Accidents between Building Construction and Urban Railway Construction,” Journal of Construction Engineering and Management, vol. 147, no. 5, p. 04021027, May 2021, doi: 10.1061/(ASCE)CO.1943-7862.0002013. [124] R. Tong, H. Li, B. Zhang, X. Yang, and X. Ma, “Modeling of unsafe behavior risk assessment: A case study of Chinese furniture manufacturers,” Safety Science, vol. 136, p. 105157, Apr. 2021, doi: 10.1016/j.ssci.2020.105157. [125] D. Cermelli, M. Pettinato, F. Curro’, and B. Fabiano, “Major Accident Prevention: a Construction Site Approach for Pro-active Management of Unsafe Conditions,” Chemical Engineering Transactions, vol. 74, pp. 1387–1392, May 2019, doi: 10.3303/CET1974232. [126] T. Aksorn and B. H. W. Hadikusumo, “The Unsafe Acts and the Decision-to-Err Factors of Thai Construction Workers,” Journal of Construction in Developing Countries, vol. 12, no. 1, pp. 1–25, Jun. 2007. [127] P. H. Marques, V. Jesus, S. A. Olea, V. Vairinhos, and C. Jacinto, “The effect of alcohol and drug testing at the workplace on individual’s occupational accident risk,” Safety Science, vol. 68, pp. 108–120, Oct. 2014, doi: 10.1016/j.ssci.2014.03.007. [128] E. Adinyira, P. Manu, K. Agyekum, A.-M. Mahamadu, and P. O. Olomolaiye, “Violent behaviour on construction sites: structural equation modelling of its impact on unsafe behaviour using partial least squares,” Engineering, Construction and Architectural Management, vol. 27, no. 10, pp. 3363–3393, Jan. 2020, doi: 10.1108/ECAM-09-2019-0489. [129] E. A. Nadhim, C. Hon, B. Xia, I. Stewart, and D. Fang, “Falls from Height in the Construction Industry: A Critical Review of the Scientific Literature,” Int J Environ Res Public Health, vol. 13, no. 7, p. 638, Jul. 2016, doi: 10.3390/ijerph13070638. [130] L. Yudian, “Analysis on the causes and prevention measures of the potential safety hazard of the formwork support system,” IOP Conf. Ser.: Earth Environ. Sci., vol. 510, no. 5, p. 052021, Jun. 2020, doi: 10.1088/1755-1315/510/5/052021. [131] K. Zhou, L. Xiao, Y. Lin, D. Yuan, and J. Wang, “A Statistical Analysis of Hazardous Chemical Fatalities (HCFs) in China between 2015 and 2021,” Sustainability, vol. 14, no. 4, Art. no. 4, Jan. 2022, doi: 10.3390/su14042435. [132] I. F. Mohamed, D. J. Edwards, M. Mateo-Garcia, G. Costin, and W. D. D. Thwala, “An investigation into the construction industry’s view on fire prevention in high-rise buildings post Grenfell,” International Journal of Building Pathology and Adaptation, vol. 38, no. 3, pp. 451–471, Jan. 2019, doi: 10.1108/IJBPA-05-2019-0048. [133] G. Raviv and A. Shapira, “Systematic approach to crane-related near-miss analysis in the construction industry,” International Journal of Construction Management, vol. 18, no. 4, pp. 310–320, Jul. 2018, doi: 10.1080/15623599.2017.1382067. [134] C. He, G. Jia, H. Zhang, and K. Ding, “Spatiotemporal Characteristics and Behavioral Factors of Fatal Construction Accidents in China, 2012–2018,” pp. 195–203, Nov. 2020, doi: 10.1061/9780784482872.022. [135] M. N. M. Nawi, S. H. Ibrahim, R. Affandi, N. A. Rosli, and F. M. Basri, “Factor Affecting Safety Performance Construction Industry,” International Review of Management and Marketing, vol. 6, no. 8, Art. no. 8, Oct. 2016. [136] R. M. Choudhry and D. Fang, “Why operatives engage in unsafe work behavior: Investigating factors on construction sites,” Safety Science, vol. 46, no. 4, pp. 566–584, Apr. 2008, doi: 10.1016/j.ssci.2007.06.027. [137] A. Dąbrowski, “An investigation and analysis of safety issues in Polish small construction plants,” International Journal of Occupational Safety and Ergonomics, vol. 21, no. 4, pp. 498–511, Oct. 2015, doi: 10.1080/10803548.2015.1085206. [138] Q. C. Nguyen, “Risk Based Methodology for Planning Periodic Inspections of Offshore substations in accordance with the standard for construction of the German Federal Maritime and Hydrographic Agency,” Thesis, Hochschule für angewandte Wissenschaften Hamburg, 2017. Accessed: Jun. 21, 2022. [Online]. Available: https://reposit.haw-hamburg.de/handle/20.500.12738/7852 [139] F. Elghaish, S. Matarneh, S. Talebi, M. Kagioglou, M. R. Hosseini, and S. Abrishami, “Toward digitalization in the construction industry with immersive and drones technologies: a critical literature review,” Smart and Sustainable Built Environment, vol. 10, no. 3, pp. 345–363, Jan. 2020, doi: 10.1108/SASBE-06-2020-0077. [140] M. M. Jaff and A. A. Kadar Hamsa, “Exploratory factor analysis on advantages and disadvantages of potential female telecommuters in Kuala Lumpur,” Asian Transport Studies, vol. 7, p. 100034, Jan. 2021, doi: 10.1016/j.eastsj.2021.100034. [141] A. Field, Discovering Statistics Using IBM SPSS Statistics. SAGE, 2013. [142] S. Ghosh and J. Jintanapakanont, “Identifying and assessing the critical risk factors in an underground rail project in Thailand: a factor analysis approach,” International Journal of Project Management, vol. 22, no. 8, pp. 633–643, Nov. 2004, doi: 10.1016/j.ijproman.2004.05.004. [143] W. T. Chen, H. C. Merrett, Y.-H. Huang, T. A. Bria, and Y.-H. Lin, “Exploring the Relationship between Safety Climate and Worker Safety Behavior on Building Construction Sites in Taiwan,” Sustainability, vol. 13, no. 6, Art. no. 6, Jan. 2021, doi: 10.3390/su13063326. [144] M. Chen, K. Wang, H. Guo, and Y. Yuan, “Human factors of fire and explosion accidents in petrochemical enterprises,” Process Safety Progress, vol. 38, no. 4, p. e12043, 2019, doi: 10.1002/prs.12043. [145] J. Xia et al., “Human factors analysis of China’s confined space operation accidents from 2008 to 2018,” Journal of Loss Prevention in the Process Industries, vol. 71, p. 104480, Jul. 2021, doi: 10.1016/j.jlp.2021.104480. [146] D. Burlet-Vienney, Y. Chinniah, and A. Bahloul, “The Need for a Comprehensive Approach to Managing Confined Space Entry: Summary of the Literature and Recommendations for Next Steps,” Journal of Occupational and Environmental Hygiene, vol. 11, no. 8, pp. 485–498, Aug. 2014, doi: 10.1080/15459624.2013.877589. [147] W. M. Alruqi and M. R. Hallowell, “Critical Success Factors for Construction Safety: Review and Meta-Analysis of Safety Leading Indicators,” Journal of Construction Engineering and Management, vol. 145, no. 3, p. 04019005, Mar. 2019, doi: 10.1061/(ASCE)CO.1943-7862.0001626. [148] T. M. Toole, “Construction Site Safety Roles,” Journal of Construction Engineering and Management, vol. 128, no. 3, pp. 203–210, Jun. 2002, doi: 10.1061/(ASCE)0733-9364(2002)128:3(203). [149] K. Yu, Q. Cao, C. Xie, N. Qu, and L. Zhou, “Analysis of intervention strategies for coal miners’ unsafe behaviors based on analytic network process and system dynamics,” Safety Science, vol. 118, pp. 145–157, Oct. 2019, doi: 10.1016/j.ssci.2019.05.002. [150] M. Li, Y. Liu, M. Peng, C. Xie, and L. Yang, “The digital simulation and fuzzy evaluation to reduce the likelihood of unsafe behavior in nuclear decommissioning,” Annals of Nuclear Energy, vol. 119, pp. 331–341, Sep. 2018, doi: 10.1016/j.anucene.2018.05.023. [151] B. Choi and S. Lee, “Role of Social Norms and Social Identifications in Safety Behavior of Construction Workers. II: Group Analyses for the Effects of Cultural Backgrounds and Organizational Structures on Social Influence Process,” Journal of Construction Engineering and Management, vol. 143, no. 5, p. 04016125, May 2017, doi: 10.1061/(ASCE)CO.1943-7862.0001254. [152] R. Jin et al., “A science mapping approach based review of construction safety research,” Safety Science, vol. 113, pp. 285–297, Mar. 2019, doi: 10.1016/j.ssci.2018.12.006.
指導教授	陳介豪蘇木春王翰翔(Jieh-Haur Chen Mu-Chun Su Han-Hsiang Wang)	審核日期	2022-8-23
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