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Ahmadian Fard Fini, A, Akbarnezhad, A, Rashidi, T H and Waller, S T (2018) Dynamic Programming Approach toward Optimization of Workforce Planning Decisions. Journal of Construction Engineering and Management, 144(02).
Chao, L and Kuo, C (2018) Neural-Network-Centered Approach to Determining Lower Limit of Combined Rate of Overheads and Markup. Journal of Construction Engineering and Management, 144(02).
Choi, B and Lee, S (2018) An Empirically Based Agent-Based Model of the Sociocognitive Process of Construction Workers’ Safety Behavior. Journal of Construction Engineering and Management, 144(02).
Du, J, Shi, Y, Zou, Z and Zhao, D (2018) CoVR: Cloud-Based Multiuser Virtual Reality Headset System for Project Communication of Remote Users. Journal of Construction Engineering and Management, 144(02).
El Meouche, R, Abunemeh, M, Hijaze, I, Mebarki, A and Shahrour, I (2018) Developing Optimal Paths for Evacuating Risky Construction Sites. Journal of Construction Engineering and Management, 144(02).
Fuller, J, Brown, C J and Crowley, R (2018) Performance-Based Maintenance Contracting in Florida: Evaluation by Surveys, Statistics, and Content Analysis. Journal of Construction Engineering and Management, 144(02).
Ghodoosi, F, Abu-Samra, S, Zeynalian, M and Zayed, T (2018) Maintenance Cost Optimization for Bridge Structures Using System Reliability Analysis and Genetic Algorithms. Journal of Construction Engineering and Management, 144(02).
Han, K, Degol, J and Golparvar-Fard, M (2018) Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring. Journal of Construction Engineering and Management, 144(02).
Kaminsky, J A (2018) National Culture Shapes Private Investment in Transportation Infrastructure Projects around the Globe. Journal of Construction Engineering and Management, 144(02).
Khanzadi, M, Nasirzadeh, F and Dashti, M S (2018) Fuzzy Cognitive Map Approach to Analyze Causes of Change Orders in Construction Projects. Journal of Construction Engineering and Management, 144(02).
Langdon, R R and Sawang, S (2018) Construction Workers’ Well-Being: What Leads to Depression, Anxiety, and Stress?. Journal of Construction Engineering and Management, 144(02).
Lessing, J and Brege, S (2018) Industrialized Building Companies’ Business Models: Multiple Case Study of Swedish and North American Companies. Journal of Construction Engineering and Management, 144(02).
Love, P E D, Teo, P and Morrison, J (2018) Revisiting Quality Failure Costs in Construction. Journal of Construction Engineering and Management, 144(02).
Moon, S, Xu, S, Hou, L, Wu, C, Wang, X and Tam, V W Y (2018) RFID-Aided Tracking System to Improve Work Efficiency of Scaffold Supplier: Stock Management in Australasian Supply Chain. Journal of Construction Engineering and Management, 144(02).
Praticò, F G and Giunta, M (2018) Proposal of a Key Performance Indicator for Railway Track Based on LCC and RAMS Analyses. Journal of Construction Engineering and Management, 144(02).
Rashid, K M and Behzadan, A H (2018) Risk Behavior-Based Trajectory Prediction for Construction Site Safety Monitoring. Journal of Construction Engineering and Management, 144(02).
- Type: Journal Article
- Keywords: Construction safety; Trajectory prediction; Real-time tracking; Global positioning system (GPS); Markov model; Risk attitude; Quantitative methods;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001420
- Abstract:
Construction sites are often described as some of the most hazardous work environments due to the unscripted nature of tasks which puts workers and equipment in close proximity, potentially resulting in near-miss situations or life-threatening contact collisions. Previous research has investigated location-aware methods to improve construction safety but has mostly fallen short in exploring the extent to which prediction techniques can be used to model and formulate the role and attributes of individual workers in addition to the physical characteristics of the jobsite that may lead to safety incidents. This paper studies the feasibility of a preemptive proximity-based safety framework by investigating two trajectory prediction models, namely polynomial regression (PR) and hidden Markov model (HMM). The HMM prediction is further calibrated by factoring in a worker’s risk profile, which is a measure of his or her affinity for or aversion to risky behavior near hazards. The method is tested in a series of field experiments involving trajectories of different shapes and complexity. Results demonstrate that the developed methodology can reliably detect unsafe movements and impending collision events.
Said, H M and Bartusiak, J (2018) Regional Competition Analysis of Industrialized Homebuilding Industry. Journal of Construction Engineering and Management, 144(02).
Said, H M and Kandimalla, P (2018) Performance Measurement of Building Sheet-Metal Ductwork Prefabrication under Batch Production Settings. Journal of Construction Engineering and Management, 144(02).
Sangiorgio, V, Uva, G and Fatiguso, F (2018) Optimized AHP to Overcome Limits in Weight Calculation: Building Performance Application. Journal of Construction Engineering and Management, 144(02).
Stanford, M S and Molenaar, K R (2018) Influence of Simplified Procurement Methods on Competition for Public Sector Construction. Journal of Construction Engineering and Management, 144(02).
Tran, D Q, Diraviam, G and Minchin, R E (2018) Performance of Highway Design-Bid-Build and Design-Build Projects by Work Types. Journal of Construction Engineering and Management, 144(02).
Xiao, J, Li, X, Zhang, Z and Zhang, J (2018) Ontology-Based Knowledge Model to Support Construction Noise Control in China. Journal of Construction Engineering and Management, 144(02).
Yiu, T W, Liu, T and Kwok, L C (2018) Explicating the Role of Relationship in Construction Claim Negotiations. Journal of Construction Engineering and Management, 144(02).