Safety Hazards Identification of Construction Site Layout Based on Geographic Information System (GIS)

Diah Sarasanty

Abstract


In the world's gross domestic product, the construction industry accounts for about 10% and plays a significant role in the eastern and western economies. Hectic places, unique characteristics, and an ever-changing work environment and its dynamic nature make construction sites challenging to predict before construction or during the life cycle project. The physical and psychological problems of construction workers caused by the construction site's poor safety, economically, significantly affect the project with a significant increase in costs. This study aims to identify occupational safety hazards by proposing occupational safety hazards in predicting worker safety hazards at construction sites. In this research, GIS is used to present the relationship between temporary facilities and safety issues at construction sites to improve the accuracy of identifying work accidents. The data collection stages were carried out through a location survey, geographic spatial, and interviews by SHE managers on a high-rise building construction project. The site layout's dynamic safety assessment is a step in GIS development in obtaining the safety zone accuracy around the temporary construction facility. It was found that there is a combination of GIS capabilities in the accuracy of site layout, which can significantly increase safety at the construction site to obtain recommendations for safety measures and minimize the occurrence of work accident fatalities through preventive actions.

Keywords


safety hazards; site layout construction; geographic information system.

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References


M. Behm, “Linking construction fatalities to the design for construction safety concept,†Saf. Sci., vol. 43, no. 8, pp. 589–611, 2005.

M. Shin, H. S. Lee, M. Park, M. Moon, and S. Han, “A system dynamics approach for modeling construction workers’ safety attitudes and behaviors,†Accid. Anal. Prev., vol. 68, pp. 95–105, 2014.

D. Sarasanty, T. J. Wahyu Adi, and I. P. A. Wiguna, “Probabilistic Model for Predicting Construction Worker Accident Based on Bayesian Belief Networks,†IPTEK J. Proc. Ser., vol. 3, no. 6, 2017.

V. K. Bansal, “Integrated CAD and GIS-Based Framework to Support Construction Planning: Case Study,†J. Archit. Eng., vol. 23, no. 3, pp. 1–13, 2017.

X. Ning, J. Qi, and C. Wu, “A quantitative safety risk assessment model for construction site layout planning,†Saf. Sci., vol. 104, no. October 2017, pp. 246–259, 2018.

J. W. Seo and H. H. Choi, “Risk-based safety impact assessment methodology for underground construction projects in Korea,†J. Constr. Eng. Manag., vol. 134, no. 1, pp. 72–81, 2008.

R. M. Choudhry, D. Fang, and S. M. Ahmed, “Safety management in construction: Best practices in Hong Kong,†J. Prof. Issues Eng. Educ. Pract., vol. 134, no. 1, pp. 20–32, 2008.

M. Esmaeili, B; Hallowell, “Diffusion of Safety Innovations in the Construction Industry,†J. Constr. Eng. Manag., vol. 138, no. January, pp. 51–60, 2013.

E. Hegazy, Tarek; Elbeltagi, “Evosite: Evolution-Based Model For Site Layout Planning,†J. Comput. Civ. Eng., vol. 13, pp. 198–206, 1999.

X. Su, A. R. Andoh, H. Cai, J. Pan, A. Kandil, and H. M. Said, “GIS-based dynamic construction site material layout evaluation for building renovation projects,†Autom. Constr., vol. 27, pp. 40–49, 2012.

U. Isikdag, J. Underwood, and G. Aouad, “An investigation into the applicability of building information models in geospatial environment in support of site selection and fire response management processes,†Adv. Eng. Informatics, vol. 22, no. 4, pp. 504–519, 2008.

K. El-Rayes and A. Khalafallah, “Trade-off between safety and cost in planning construction site layouts,†J. Constr. Eng. Manag., vol. 131, no. 11, pp. 1186–1195, 2005.

C. Anumba and G. Bishop, “Importance of safety considerations in site layout and organization,†Can. J. Civ. Eng., vol. 24, no. 2, pp. 229–236, 1997.

A. J. Khattak and H. Shamayleh, “Highway safety assessment through geographic information system-based data visualization,†J. Comput. Civ. Eng., vol. 19, no. 4, pp. 407–411, 2005.

S. J. Guo, “Identification and resolution of work space conflicts in building construction,†J. Constr. Eng. Manag., vol. 128, no. 4, pp. 287–295, 2002.

D. Riely and V. Sanvido, “Patterns Of Construction-Space Use In Multistory Buildings By David R . Riley · and Victor E . Sanvido , 2 Associate Members , ASCE,†J. Constr. Eng. Manag., no. December, pp. 464–473, 1995.

S. Razavialavi and S. AbouRizk, “Site Layout and Construction Plan Optimization Using an Integrated Genetic Algorithm Simulation Framework,†J. Comput. Civ. Eng., vol. 31, no. 4, pp. 1–10, 2017.

M. Xu, Z. Mei, S. Luo, and Y. Tan, “Optimization algorithms for construction site layout planning: a systematic literature review,†Eng. Constr. Archit. Manag., 2020.

F. Zhou, S. M. AbouRizk, and H. AL-Battaineh, “Optimisation of construction site layout using a hybrid simulation-based system,†Simul. Model. Pract. Theory, vol. 17, no. 2, pp. 348–363, 2009.

P. L. Le, T. M. Dao, and A. Chaabane, “BIM-based framework for temporary facility layout planning in construction site: A hybrid approach,†Constr. Innov., vol. 19, no. 3, pp. 424–464, 2019.

X. Ning, J. Qi, C. Wu, and W. Wang, “Reducing noise pollution by planning construction site layout via a multi-objective optimization model,†J. Clean. Prod., vol. 222, pp. 218–230, 2019.

X. Song, J. Xu, C. Shen, and F. Peña-Mora, “Conflict resolution-motivated strategy towards integrated construction site layout and material logistics planning: A bi-stakeholder perspective,†Autom. Constr., vol. 87, no. December 2017, pp. 138–157, 2018.

T. H. Nguyen, A. A. Oloufa, and K. Nassar, “Algorithms for automated deduction of topological information,†Autom. Constr., vol. 14, no. 1, pp. 59–70, 2005.

W. Jiang, Y. Zhou, L. Ding, C. Zhou, and X. Ning, “UAV-based 3D reconstruction for hoist site mapping and layout planning in petrochemical construction,†Autom. Constr., vol. 113, no. February, 2020.

C. Wu, N. Li, and D. Fang, “Leadership improvement and its impact on workplace safety in construction projects: A conceptual model and action research,†Int. J. Proj. Manag., vol. 35, no. 8, pp. 1495–1511, 2017.

P. C. Lee, Y. Wang, T. P. Lo, and D. Long, “An integrated system framework of building information modelling and geographical information system for utility tunnel maintenance management,†Tunn. Undergr. Sp. Technol., vol. 79, no. April, pp. 263–273, 2018.

M. Y. Cheng and J. T. O’Connor, “Arcsite: Enhanced GIS for construction site layout,†J. Constr. Eng. Manag., vol. 122, no. 4, pp. 329–336, 1996.

M. Y. Cheng and J. T. O’Connor, “Site layout of construction temporary facilities using an enhanced-geographic information system (GIS),†Autom. Constr., vol. 3, no. 1, pp. 11–19, 1994.

X. Su and H. Cai, “Enabling Construction 4D Topological Analysis for Effective Construction Planning,†J. Comput. Civ. Eng., vol. 30, no. 1, pp. 1–10, 2016.

S. Choe and F. Leite, “Construction safety planning: Site-specific temporal and spatial information integration,†Autom. Constr., vol. 84, no. August 2016, pp. 335–344, 2017.

W. Yi, H. L. Chi, and S. Wang, “Mathematical programming models for construction site layout problems,†Autom. Constr., vol. 85, no. May 2017, pp. 241–248, 2018.

K. Schwabe, J. Teizer, and M. König, “Applying rule-based model-checking to construction site layout planning tasks,†Autom. Constr., vol. 97, no. October 2018, pp. 205–219, 2019.

X. Liu, X. Wang, G. Wright, J. C. P. Cheng, X. Li, and R. Liu, “A state-of-the-art review on the integration of Building Information Modeling (BIM) and Geographic Information System (GIS),†ISPRS Int. J. Geo-Information, vol. 6, no. 2, pp. 1–21, 2017.

C. W. Liu, T. H. Wu, M. H. Tsai, and S. C. Kang, “Image-based semantic construction reconstruction,†Autom. Constr., vol. 90, no. February, pp. 67–78, 2018.

F. Sandrone and V. Labiouse, “A GIS based approach for analysing geological and operation conditions influence on road tunnels degradation,†Tunn. Undergr. Sp. Technol., vol. 66, no. November 2016, pp. 174–185, 2017.

S. Yamamura, L. Fan, and Y. Suzuki, “Assessment of Urban Energy Performance through Integration of BIM and GIS for Smart City Planning,†Procedia Eng., vol. 180, pp. 1462–1472, 2017.




DOI: http://dx.doi.org/10.18517/ijaseit.10.5.12822

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