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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).

  • Type: Journal Article
  • Keywords: Site layout; Construction risk; Geographic information system (GIS); Optimization; Evacuation;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001413
  • Abstract:
    Construction sites are susceptible to damage due to the occurrence of natural and technological hazard events such as fire and thermal flux. Therefore, project planners must adopt innovative approaches for evacuating construction sites seamlessly. This research aims to develop a model to find the least-risk paths for evacuating sites in order to diminish losses, injuries, and fatalities. The model consists of two main processes. The first is the generation of an optimal site layout that aims to minimize the total risk using a genetic algorithm. The second process is running Dijkstra’s algorithm to find the shortest safe path from any position on the construction site to the safe places. Spatial analysis tools are exploited in this research to generate the spatial risk maps and implement the least-cost path analysis. The model is implemented in a case study composed of numerous facilities. The results revealed that the proposed model is able to generate paths through least-risk zones, which will minimize the victims in cases of emergencies.

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).

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).