Stochastic state sequence model to predict construction site safety states through Real-Time Location Systems

Safety Science

Volumn 84, Issue , 2016, Pages 78-87

  Li, Heng ^a   Yang, Xincong ^a,b   Wang, Fenglai ^b   Rose, Timothy ^c   Chan, Greg ^a   Dong, Shuang ^a,d  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

^c QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^d TONGJI UNIVERSITY   (China)

Author keywords

Construction; Discrete Time Markov Chain (DTMC); Real Time Location System (RTLS); Stochastic sequences

Indexed keywords

CONSTRUCTION; CONSTRUCTION INDUSTRY; FORECASTING; HAZARDS; LOCATION; MARKOV CHAINS; PROJECT MANAGEMENT; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

COMPLEX CONSTRUCTION PROJECT; CONSTRUCTION SITE SAFETY; CONSTRUCTION SITES; DISCRETE TIME MARKOV CHAINS; REAL TIME LOCATION SYSTEMS; STATE RECOGNITION; STOCHASTIC SEQUENCES; UNCERTAIN DYNAMICS;

REAL TIME SYSTEMS;

ARTICLE; CLASSIFICATION ALGORITHM; CONSTRUCTION WORK; DISCRETE TIME MARKOV CHAIN MODEL; DISCRIMINANT ANALYSIS; FEASIBILITY STUDY; HAZARD ASSESSMENT; HIDDEN MARKOV MODEL; INFORMATION PROCESSING; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; MONITORING; OCCUPATIONAL SAFETY; PRIORITY JOURNAL; PROACTIVE CONSTRUCTION MANAGEMENT SYSTEM; PROBABILITY; QUANTITATIVE ANALYSIS; REAL TIME LOCATION SYSTEM; SAFETY;

EID: 84951039271     PISSN: 09257535     EISSN: 18791042     Source Type: Journal    
DOI: 10.1016/j.ssci.2015.11.025     Document Type: Article

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