References:
[1] J. Teizer and T. Cheng, “Proximity hazard indicator for workers-on-foot near miss interactions with construction equipment and geo-referenced hazard areas,” Autom. Constr., vol. 60, pp. 58–73, 2015.
[2] K. M. Rashid, “BearWorks Coupling Mobile Technology , Position Data Mining , and Attitude toward Risk to Improve Construction Site Safety,” 2017.
[3] A. A. Raheem and J. W. Hinze, “Disparity between construction safety standards: A global analysis,” Saf. Sci., 2014.
[4] Bureau of Labor Statistics US Department of Labor, “National Census of Fatal Occupational Injuries in 2014,” Bur. Labor Stat. US Dep. Labor, 2015.
[5] H. Yang, D. A. S. Chew, W. Wu, Z. Zhou, and Q. Li, “Design and implementation of an identification system in construction site safety for proactive accident prevention,” Accid. Anal. Prev., vol. 48, pp. 193–203, 2012.
[6] A. Sheykhfard and F. Haghighi, “Behavioral analysis of vehicle-pedestrian interactions in Iran,” vol. 25, pp. 1968–1976, 2018.
[7] 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,” Saf. Sci., vol. 48, no. 4, pp. 436–444, 2010.
[8] R. A. Haslam et al., “Contributing factors in construction accidents,” in Applied Ergonomics, 2005.
[9] H. Li, X. Li, X. Luo, and J. Siebert, “Investigation of the causality patterns of non-helmet use behavior of construction workers,” Autom. Constr., vol. 80, pp. 95–103, 2017.
[10] C. M. Tam, S. X. Zeng, and Z. M. Deng, “Identifying elements of poor construction safety management in China,” Safety Science. 2004.
[11] B. Fabiano, F. Currò, A. P. Reverberi, and R. Pastorino, “A statistical study on temporary work and occupational accidents: Specific risk factors and risk management strategies,” Saf. Sci., vol. 46, no. 3, pp. 535–544, 2008.
[12] B. Barlas and F. B. Izci, “Individual and workplace factors related to fatal occupational accidents among shipyard workers in Turkey,” Saf. Sci., vol. 101, no. February 2016, pp. 173–179, 2018.
[13] Y. M. Goh, C. U. Ubeynarayana, K. L. X. Wong, and B. H. W. Guo, “Factors influencing unsafe behaviors: A supervised learning approach,” Accid. Anal. Prev., vol. 118, no. June, pp. 77–85, 2018.
[14] D.-P. Shin, Y.-J. Park, J. Seo, and D.-E. Lee, “Association rules mined from construction accident data,” KSCE J. Civ. Eng., vol. 0, no. 0, pp. 1–13, 2017.
[15] L. Sanmiquel, J. M. Rossell, and C. Vintró, “Study of Spanish mining accidents using data mining techniques,” Saf. Sci., vol. 75, pp. 49–55, 2015.
[16] M. Doostan and B. H. Chowdhury, “Power distribution system fault cause analysis by using association rule mining,” Electr. Power Syst. Res., vol. 152, pp. 140–147, 2017.
[17] C. W. Liao and Y. H. Perng, “Data mining for occupational injuries in the Taiwan construction industry,” Saf. Sci., 2008.
[18] A. S. H. Khaksa, “Airline delay prediction by machine learning algorithms,” Sci. Iran., 2018.
[19] G. Mistikoglu, I. H. Gerek, E. Erdis, P. E. Mumtaz Usmen, H. Cakan, and E. E. Kazan, “Decision tree analysis of construction fall accidents involving roofers,” Expert Syst. Appl., vol. 42, no. 4, pp. 2256–2263, 2015.
[20] C. W. Cheng, H. Q. Yao, and T. C. Wu, “Applying data mining techniques to analyze the causes of major occupational accidents in the petrochemical industry,” J. Loss Prev. Process Ind., vol. 26, no. 6, pp. 1269–1278, 2013.
[21] X. Wang, X. Huang, Y. Luo, J. Pei, and M. Xu, “Improving Workplace Hazard Identification Performance Using Data Mining,” J. Constr. Eng. Manag., vol. 144, no. 8, p. 4018068, 2018.
[22] T. Rivas, M. Paz, J. E. Martín, J. M. Matías, J. F. García, and J. Taboada, “Explaining and predicting workplace accidents using data-mining techniques,” Reliab. Eng. Syst. Saf., vol. 96, no. 7, pp. 739–747, 2011.
[23] J. E. Martín, T. Rivas, J. M. Matías, J. Taboada, and A. Argüelles, “A Bayesian network analysis of workplace accidents caused by falls from a height,” Saf. Sci., 2009.
[24] S. Gerassis, J. E. Martín, J. T. García, A. Saavedra, and J. Taboada, “Bayesian Decision Tool for the Analysis of Occupational Accidents in the Construction of Embankments,” ASCE J. Constr. Eng. Manag., vol. 143, no. 2, pp. 1–8, 2015.
[25] A. Verma, S. Das Khan, J. Maiti, and O. B. Krishna, “Identifying patterns of safety related incidents in a steel plant using association rule mining of incident investigation reports,” Saf. Sci., vol. 70, pp. 89–98, 2014.
[26] M. Amiri, A. Ardeshir, M. H. Fazel Zarandi, and E. Soltanaghaei, “Pattern extraction for high-risk accidents in the construction industry: a data-mining approach,” Int. J. Inj. Contr. Saf. Promot., vol. 23, no. 3, pp. 264–276, 2016.
[27] J. Weng, J. Z. Zhu, X. Yan, and Z. Liu, “Investigation of work zone crash casualty patterns using association rules,” Accid. Anal. Prev., vol. 92, pp. 43–52, 2016.
[28] R. Agrawal, T. Imielinski, and A. Swami, “Mining Association in Large Databases,” ACM SIGMOD Rec., 1993.
[29] J. W. Kim, “Construction and evaluation of structured association map for visual exploration of association rules,” Expert Syst. Appl., vol. 74, pp. 70–81, 2017.
[30] M. R. Hallowell and J. A. Gambatese, “Formwork Construction,” vol. 135, no. October, pp. 990–998, 2009.
[31] H. Malekitabar, A. Ardeshir, M. H. Sebt, R. Stouffs, and E. A. L. Teo, “On the calculus of risk in construction projects: Contradictory theories and a rationalized approach,” Saf. Sci., vol. 101, no. September 2016, pp. 72–85, 2018.
[32] N. Munier, Project Management for Environmental, Construction and Manufacturing Engineers. 2013.
[33] A. Ardeshir, M. Mohajeri, and M. Amiri, “Evaluation of safety risks in construction using Fuzzy Failure Mode and E ect Analysis ( FFMEA ),” vol. 23, pp. 2546–2556, 2016.
[34] N. Ghodrati, T. W. Yiu, S. Wilkinson, and M. Shahbazpour, “A new approach to predict safety outcomes in the construction industry,” Saf. Sci., vol. 109, no. September 2016, pp. 86–94, 2018.
[35] 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,” Int. J. Occup. Saf. Ergon., vol. 20, no. 1, pp. 111–125, 2014.
[36] S. Winge, E. Albrechtsen, and B. A. Mostue, “Causal factors and connections in construction accidents,” Saf. Sci., vol. 112, no. October 2018, pp. 130–141, 2019.
[37] D. Wang, X. Wang, and N. Xia, “How safety-related stress affects workers’ safety behavior: The moderating role of psychological capital,” Saf. Sci., vol. 103, no. November 2017, pp. 247–259, 2018.
[38] M. Suárez-cebador, J. C. Rubio-romero, and A. López-arquillos, “Severity of electrical accidents in the construction industry in Spain,” J. Safety Res., vol. 48, pp. 63–70, 2014.
[39] J. Wang, P. X. W. Zou, and P. P. Li, “Critical factors and paths influencing construction workers’ safety risk tolerances,” Accid. Anal. Prev., vol. 93, pp. 267–279, 2015.
[40] D. Fang, C. Wu, and H. Wu, “Impact of the Supervisor on Worker Safety Behavior in Construction Projects,” J. Manag. Eng., vol. 31, no. 6, p. 4015001, 2015.
[41] E. R. Heinrich, H.W., Granniss, Industrial Accident Prevention: a Scientific Approach. McGraw-Hill, New york, 1959.