Engineering Management Theories and Methodologies |
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Study on Big Data-based Behavior Modification in Metro Construction |
Lie-yun Ding(), Sheng-yu Guo |
Institute of Construction Management, Huazhong University of Science and Technology, Wuhan 430074, China |
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Abstract With the rapid development of metro construction in China, construction accidents frequently happen, which are significantly attributable to workers’ unsafe behavior. Behavior-based safety (BBS) is an effective method to modify workers’ unsafe behavior. This paper introduces the study on big data-based metro construction behavior modification, aiming to solve the problem of current research without consideration of workers’ personal characters. First, the behavior modification pushing mechanism based on content-based personalized recommendation is studied. Secondly, the development of behavior modification system of metro construction (BMSMC) is introduced. Thirdly, BMSMC practical applications using the unsafe behavior rate, S as a measuring indicator is implemented. Observations at one metro construction site in Wuhan indicate that the unsafe behavior rate of modified scaffolders at this work place decreased by 69.3%. At the same time, as of unmodified scaffolders at another work place for comparison, the unsafe behavior rate decreased by 56.9%, which validates the effectiveness of this system.
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Keywords
big data
unsafe behavior
behavior modification
behavior-based safety (BBS)
unsafe behavior rate
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Corresponding Author(s):
Lie-yun Ding
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Online First Date: 30 October 2015
Issue Date: 12 November 2015
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