Strategic Learning and Knowledge Management of Technological Innovation in Safety Evaluation Planning of Construction Projects

The safety evaluation of construction projects is a very important problem. In the current study, the new smart methods especially for the complexity and variability of construction safety evaluation are absent. Combined with the engineering examples, this paper analyzes the sensitive factors that a...

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Autores principales:	Bai Xiaoping, Pu Tao
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	History of scholarship and learning. The humanities AZ20-999 Social Sciences H
Acceso en línea:	https://doaj.org/article/a5f1d98bdafa4cdf8e0b0d7feb037709
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spelling	oai:doaj.org-article:a5f1d98bdafa4cdf8e0b0d7feb0377092021-12-02T02:33:23ZStrategic Learning and Knowledge Management of Technological Innovation in Safety Evaluation Planning of Construction Projects2158-244010.1177/21582440211061536https://doaj.org/article/a5f1d98bdafa4cdf8e0b0d7feb0377092021-11-01T00:00:00Zhttps://doi.org/10.1177/21582440211061536https://doaj.org/toc/2158-2440The safety evaluation of construction projects is a very important problem. In the current study, the new smart methods especially for the complexity and variability of construction safety evaluation are absent. Combined with the engineering examples, this paper analyzes the sensitive factors that affect the construction project safety and makes discretizating of influencing factors based on expert and BIM technique. Based on BIM and Bayesian network, this paper established a new construction project safety evaluation model and presented the hybrid methods of strategic learning and knowledge management of technological innovation in construction project safety evaluation. Combined with the example of underground traffic engineering of Zhengzhou city comprehensive transportation hub, the Bayesian network was used to predict its security level. The probability of the safety level of the project in grade 3 is 0.614. Compared to other evaluation methods, presented hybrid method is more intelligent in strategic learning and knowledge management of technological innovation. Through the Bayesian network sensitivity analysis, we can know that the sensitivity factor of the construction project safety in the project is the construction risk, the continuous operation time, the protective measures, the material risk, and the number of maintenance. Presented detailed computational methods and steps in this paper can be used to improve the level of construction project safety effectively and help construction managers to take more effective control measures to prevent or reduce the occurrence of security incidents.Bai XiaopingPu TaoSAGE PublishingarticleHistory of scholarship and learning. The humanitiesAZ20-999Social SciencesHENSAGE Open, Vol 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	History of scholarship and learning. The humanities AZ20-999 Social Sciences H
spellingShingle	History of scholarship and learning. The humanities AZ20-999 Social Sciences H Bai Xiaoping Pu Tao Strategic Learning and Knowledge Management of Technological Innovation in Safety Evaluation Planning of Construction Projects
description	The safety evaluation of construction projects is a very important problem. In the current study, the new smart methods especially for the complexity and variability of construction safety evaluation are absent. Combined with the engineering examples, this paper analyzes the sensitive factors that affect the construction project safety and makes discretizating of influencing factors based on expert and BIM technique. Based on BIM and Bayesian network, this paper established a new construction project safety evaluation model and presented the hybrid methods of strategic learning and knowledge management of technological innovation in construction project safety evaluation. Combined with the example of underground traffic engineering of Zhengzhou city comprehensive transportation hub, the Bayesian network was used to predict its security level. The probability of the safety level of the project in grade 3 is 0.614. Compared to other evaluation methods, presented hybrid method is more intelligent in strategic learning and knowledge management of technological innovation. Through the Bayesian network sensitivity analysis, we can know that the sensitivity factor of the construction project safety in the project is the construction risk, the continuous operation time, the protective measures, the material risk, and the number of maintenance. Presented detailed computational methods and steps in this paper can be used to improve the level of construction project safety effectively and help construction managers to take more effective control measures to prevent or reduce the occurrence of security incidents.
format	article
author	Bai Xiaoping Pu Tao
author_facet	Bai Xiaoping Pu Tao
author_sort	Bai Xiaoping
title	Strategic Learning and Knowledge Management of Technological Innovation in Safety Evaluation Planning of Construction Projects
title_short	Strategic Learning and Knowledge Management of Technological Innovation in Safety Evaluation Planning of Construction Projects
title_full	Strategic Learning and Knowledge Management of Technological Innovation in Safety Evaluation Planning of Construction Projects
title_fullStr	Strategic Learning and Knowledge Management of Technological Innovation in Safety Evaluation Planning of Construction Projects
title_full_unstemmed	Strategic Learning and Knowledge Management of Technological Innovation in Safety Evaluation Planning of Construction Projects
title_sort	strategic learning and knowledge management of technological innovation in safety evaluation planning of construction projects
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/a5f1d98bdafa4cdf8e0b0d7feb037709
work_keys_str_mv	AT baixiaoping strategiclearningandknowledgemanagementoftechnologicalinnovationinsafetyevaluationplanningofconstructionprojects AT putao strategiclearningandknowledgemanagementoftechnologicalinnovationinsafetyevaluationplanningofconstructionprojects
_version_	1718402428753149952

Strategic Learning and Knowledge Management of Technological Innovation in Safety Evaluation Planning of Construction Projects

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