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Advances in Life Cycle Management of Civil Engineering
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Advances in Life Cycle Management of Civil Engineering

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 13646

Special Issue Editors

Prof. Dr. Junwu Wang

E-Mail Website
Guest Editor
School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Interests: construction safety; BIM; digital twins; soft computing in civil engineering; uncertainty analysis; PPP; engineering vulnerability management; life cycle management of complex engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Han Wu

E-Mail Website
Guest Editor
School of Infrastructure Engineering, Nanchang University, Nanchang 330031, China
Interests: construction safety management; construction enterprise management; cost-duration optimization analysis; uncertainty analysis in civil engineering: application of artificial intelligence in civil engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Zhangsheng Liu

E-Mail Website
Guest Editor
College of City Construction, Jiangxi Normal University, Nanchang 330022, China
Interests: resources; environment and sustainable development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Lifecycle Management (LCM) for civil engineering is key to ensuring the long-term value and sustainability of engineerings. However, the global construction industry is currently undergoing a rapid development phase, with incessant innovations in technology, management, and materials presenting new challenges to civil engineering. Researching innovative strategies and tools for LCM is crucial in enhancing project management efficiency, reducing resource consumption, lowering environmental pollution, ensuring structural safety, optimizing the overall cost of projects (particularly long-term costs), and responding to global challenges (such as accelerated urbanization, climate change, and resource scarcity). This special issue aims to gather experts from academia and industry to share their novel methods, strategies, and practical experiences in advancing more efficient, safe, environmentally friendly, and sustainable development in civil engineering. We hope that these contributions will offer new perspectives and solutions for optimizing management at all or specific stages of a project’s lifecycle. Both research and review papers are welcome.

This special issue focuses on exploring LCM of civil engineering projects from design and planning through to construction, operation, and maintenance, and up to decommissioning. The call for papers covers but is not limited to the following topics:

  1. Whole lifecycle cost analysis in civil engineering;
  2. New project management strategies oriented towards LCM;
  3. Innovative strategies for durable design;
  4. Applications of emerging technologies and materials in the maintenance and repair of structures;
  5. New applications of BIM and digital twin technologies in LCM;
  6. New applications of smart devices and sensor technologies in construction monitoring and maintenance;
  7. New strategies for green construction and sustainable management;
  8. New tools for risk management and decision support in civil engineering projects;
  9. Innovative strategies for resilience and adaptability management in civil engineering projects;
  10. New strategies for LCM management at the corporate level of construction enterprises.

Prof. Dr. Junwu Wang
Dr. Han Wu
Dr. Zhangsheng Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cost and duration analysis in LCM
  • durable design in LCM
  • construction enterprise management
  • digital twins and BIM
  • smart devices and sensor technologies
  • soft computing in civil engineering
  • uncertainty analysis in LCM of civil engineering
  • risk management in LCM of civil engineering
  • decision support in LCM of civil engineering
  • green construction and sustainable management

Benefits of Publishing in a Special Issue

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
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Further information on MDPI's Special Issue polices can be found here.

Related Special Issue

Published Papers (13 papers)

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Research

18 pages, 2296 KiB  
Article
A Study on the Cascade Evolution Mechanism of Construction Workers’ Unsafe Behavior Risk Factors
by Xin Luo, Yanjuan Tang, Jun Zhou, Mingru Wang and Yong Tian
Buildings 2024, 14(8), 2483; https://doi.org/10.3390/buildings14082483 - 11 Aug 2024
Viewed by 755
Abstract
There are numerous risk factors across various dimensions that lead to unsafe behaviors among construction workers, and the interactions between these factors are complex and intertwined. Therefore, it is crucial to comprehensively explore the mechanisms of these risk factors across all dimensions to [...] Read more.
There are numerous risk factors across various dimensions that lead to unsafe behaviors among construction workers, and the interactions between these factors are complex and intertwined. Therefore, it is crucial to comprehensively explore the mechanisms of these risk factors across all dimensions to reduce the accident rate. This paper combines cascading failure and entropy flow models to construct a cascading trigger model for identifying key nodes and paths in a risk network. First, this paper identifies the risk factors in the individual, organizational, managerial, and environmental dimensions, dividing them into deep and surface factors. Based on this, a risk network is constructed, and cascading failure is introduced to simulate the dynamic evolution of risks. Then, the entropy flow model is introduced to quantify the risk flow in risk propagation. Finally, to address the uncertainty of risk occurrence, Visual Studio Code is used for coding, and a simulation platform is built using JavaScript. After conducting simulation experiments, the results are statistically analyzed. The results show that the key nodes of deep factors are mainly concentrated in the individual dimension (herd mentality, negative emotions, physical fatigue, fluke mindset), organizational dimension (poor cohesion, poor internal communication), and managerial dimension (abusive leadership style and insufficient/low-quality safety education and training); the surface factors are mainly the poor safety climate in the organizational dimension. The findings provide theoretical support for reducing the accident rate caused by unsafe worker behaviors, aiming to reduce accident risk losses by cutting off risk propagation paths. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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21 pages, 993 KiB  
Article
Deploying Value Engineering Strategies for Ameliorating Construction Project Management Performance: A Delphi-SWARA Study Approach
by Esmaeil Nejatyan, Hadi Sarvari, Seyed Abbas Hosseini and Hassan Javanshir
Buildings 2024, 14(8), 2291; https://doi.org/10.3390/buildings14082291 - 24 Jul 2024
Viewed by 892
Abstract
This study was carried out to rank and prioritize the aspects that have been shown to have an impact on the improvement of construction project management (CPM) performance based on value engineering. This analysis was carried out with the Iranian construction industry’s current [...] Read more.
This study was carried out to rank and prioritize the aspects that have been shown to have an impact on the improvement of construction project management (CPM) performance based on value engineering. This analysis was carried out with the Iranian construction industry’s current situation in mind. The respondents and the Delphi panel were chosen from among Iranian managers and project management professionals with a focus on building projects. These professionals had more than 20 years of experience working on international projects, and in addition to their expertise in project management, they also understood the principles of earned value analysis and value engineering. Thus, the components extracted from the literature review were used as the basis for designing a structured interview based on 39 important effective components previously determined as identified factors. The questionnaires were distributed among the experts, and the returned questionnaires were analysed using the SWARA technique to rank the weight and importance of the factors. Using the SWARA method, the opinions of the expert panel members consisting of 20 engineers and a semi-structured questionnaire was used to gather expertise in project management and managers, with a focus on Iranian CPM. As shown by the results, stakeholder management, time value of money, and worth, allocated the first to the third rank to themselves with respective weights of 0.104, 0.103, and 0.087. The sub-criteria of cost objective, function objective, and value objective were in the 37th to 39th ranks with respective weights of 0.00050, 0.00033, and 0.00021. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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23 pages, 8429 KiB  
Article
Evaluation of the Protection of Historical Buildings in Universities Based on RCM-AHP-FCE
by Bo Huang, Luling Liu, Sijun Lyu and Zhiyong Li
Buildings 2024, 14(7), 2078; https://doi.org/10.3390/buildings14072078 - 7 Jul 2024
Viewed by 1145
Abstract
The accumulation of years imbues historical buildings within universities with a profound sense of heritage, evident not only in the temporal imprints within their internal spaces but also in the evolution of their external surroundings. This cultural legacy subtly enriches students’ spatial awareness [...] Read more.
The accumulation of years imbues historical buildings within universities with a profound sense of heritage, evident not only in the temporal imprints within their internal spaces but also in the evolution of their external surroundings. This cultural legacy subtly enriches students’ spatial awareness of history and fosters a collective memory of campus context. Current scholarly inquiry into university historical buildings primarily revolves around comprehensive considerations encompassing the preservation of these edifices, the overarching planning of academic institutions, and the safeguarding of the distinctive features inherent to historical structures. However, the predominant focus lies on qualitative analyses, leaving a pressing need for quantitative assessments and the establishment of an evaluation framework to gauge the efficacy of historical building preservation in academia. Addressing this gap, this study employs the Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation (FCE) to formulate the University Historical Building Protection Evaluation Framework (UHBPEF). Drawing from the examination and categorization of the primary instructional edifices within the Yujiatou campus of Wuhan University of Technology through the Research Classification Method (RCM), along with the consolidation of insights from experts and academic stakeholders, this study underscores the imperative of enhancing the scientific precision and pertinence of the university’s strategy for preserving historical buildings. By employing both qualitative and quantitative methodologies, this study offers innovative insights into the challenges facing historical building preservation in university settings, therefore propounding effective preservation strategies and offering a roadmap for future endeavors in this domain. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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17 pages, 4754 KiB  
Article
Examining Solicited Projects of Public–Private Partnerships (PPP) in the Initiative of Indonesian Government
by Mustafa Nahdi, Naniek Widayati, Mochamad Agung Wibowo, Endah Murtiana Sari, Rizal Zainuddin Tamin and Antho Thohirin
Buildings 2024, 14(6), 1870; https://doi.org/10.3390/buildings14061870 - 20 Jun 2024
Cited by 1 | Viewed by 869
Abstract
The value of construction projects in Indonesia is significantly enhanced by partnering, leading to the adoption of the model by the government. The Indonesian government, through the Ministry of Finance, is developing the partnering model based on Public–Private Partnerships (PPPs) projects to further [...] Read more.
The value of construction projects in Indonesia is significantly enhanced by partnering, leading to the adoption of the model by the government. The Indonesian government, through the Ministry of Finance, is developing the partnering model based on Public–Private Partnerships (PPPs) projects to further accelerate extensive infrastructure development. By leveraging PPPs, these projects intend to bridge the funding gap experienced by the government to facilitate swift infrastructure development and enhance the value of construction projects even further. Therefore, this study aimed to examine PPPs, such as the solicited projects occurring in Indonesia. Solicited projects were government-initiated PPPs based on long-term development plans. A qualitative method was adopted, conducting in-depth analyses at three locations with solicited PPP projects. Using Soft System Methodology (SSM) and expert Focus Group Discussion (FGD) through the Delphi method, this study investigated the interactions and depth of partnering in PPP projects. The obtained results emphasized the positive impact of solicited projects on Indonesian infrastructure development, addressing the funding gap experienced by the government. This study further contributed new insights for stakeholders and academics in the development of the projects in Indonesia, emphasizing the necessity of extensive development to support the implementation. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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15 pages, 1140 KiB  
Article
Site Suitability Evaluation of a Large Commercial Complex Using an Improved Projection Pursuit Model
by Han Wu, Jiannan Yu, Siqi Ai, Peng Zhou and Yuxin Chen
Buildings 2024, 14(6), 1586; https://doi.org/10.3390/buildings14061586 - 30 May 2024
Cited by 1 | Viewed by 602
Abstract
In developing countries, especially China, large-scale commercial complexes are the current trend in commercial real estate. Compared with other similar buildings, scientific site selection is very important for the smooth construction and efficient operation of these complexes. However, there is still a lack [...] Read more.
In developing countries, especially China, large-scale commercial complexes are the current trend in commercial real estate. Compared with other similar buildings, scientific site selection is very important for the smooth construction and efficient operation of these complexes. However, there is still a lack of a targeted evaluation index system and quantitative evaluation methods. Therefore, this paper put forward the evaluation index system and method of large-scale commercial-complex location based on a projection pursuit model. First, this paper comprehensively considered the environmental, social, and economic factors, and used secondary and tertiary indicators to systematically establish an evaluation index system. This index system effectively dealt with the complex problem of its site selection. Compared with the traditional multi-attribute evaluation method based on expert advice, the evaluation method of the improved projection pursuit model based on a sparrow search algorithm constructed in this paper was to mine key information from the evaluation data, which could evaluate the site suitability of large commercial complexes more scientifically and objectively. In addition, this paper made a detailed empirical study of the Joy City project in Nanchang, China. The research results found the key factors affecting the site selection of the project and determined that the site-selection evaluation result of the project was medium. The research results of this paper provide the scientific and objective decision-making basis for the development enterprises of large commercial complexes to reduce site-selection risk and improve investment efficiency. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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15 pages, 12607 KiB  
Article
Automatic Detection Method for Concrete Spalling and Exposed Steel Bars in Reinforced Concrete Structures Based on Machine Vision
by Shengmin Wang, Jun Wan, Shiying Zhang and Yu Du
Buildings 2024, 14(6), 1580; https://doi.org/10.3390/buildings14061580 - 30 May 2024
Viewed by 669
Abstract
Reinforced concrete (RC), renowned for its amalgamation of strength and durability, stands as a cornerstone in modern engineering, extensively employed in various structures such as buildings, bridges, and pipe culverts. However, prevalent issues of concrete spalling and exposed steel bars within RC structures [...] Read more.
Reinforced concrete (RC), renowned for its amalgamation of strength and durability, stands as a cornerstone in modern engineering, extensively employed in various structures such as buildings, bridges, and pipe culverts. However, prevalent issues of concrete spalling and exposed steel bars within RC structures pose significant challenges. An automated identification methodology is proposed to detect concrete spalling and exposed steel bars, leveraging machine vision technology and deep learning algorithms. Initially, a classifier is utilized to discern concrete spalling areas within the image domain at the image level. Subsequently, a semantic segmentation algorithm is applied to precisely delineate the contours of both concrete spalling areas and exposed steel bars at the pixel level. The efficacy and feasibility of the proposed method are validated through training and testing on both a publicly available dataset and actual RC structure images. The results illustrate that the average detection precision, Intersection over Union (IOU), recall, and F1-score for concrete spalling areas are 0.924, 0.872, 0.937, and 0.925, respectively, while for exposed steel areas, the corresponding values are 0.905, 0.820, 0.899, and 0.855. This method demonstrates promising prospects for wide-ranging applications in defect detection within RC structures. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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12 pages, 800 KiB  
Article
A Safety Risk Analysis of a Steel-Structure Building Using an Improved Controlled Interval and Memory Model
by Jinhua Chen, Lihong Zhou, Yipeng Liu and Yajie Wang
Buildings 2024, 14(6), 1553; https://doi.org/10.3390/buildings14061553 - 27 May 2024
Viewed by 746
Abstract
Scholars and engineers have increasingly focused on the safety of steel-structure buildings. An accurate analysis can substantially reduce the collapse probability of these buildings. This paper proposes a novel risk analysis model to assess the safety of steel-structure buildings. The vector entropy method [...] Read more.
Scholars and engineers have increasingly focused on the safety of steel-structure buildings. An accurate analysis can substantially reduce the collapse probability of these buildings. This paper proposes a novel risk analysis model to assess the safety of steel-structure buildings. The vector entropy method and weight clustering were used to improve the controlled interval and memory (CIM) model. The proposed model has the advantages of a straightforward modeling approach, strong adaptability, and logical relationships. The new strategy improves the reliability and stability of the CIM model results when the maximum membership principle is not applicable. The Jiangxi Exhibition Center in China, which has a steel truss roof, is used as a case study. The results indicate a high safety risk of the project and the need for maintenance and repair. The improved CIM model has higher stability and adaptability for analyzing the safety risks of steel structure than the standard CIM model. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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16 pages, 1368 KiB  
Article
Readiness for Implemented Sustainable Procurement in Indonesian Government Construction Project
by Ade Achmad Al Fath, Dyah Erny Herwindiaty, Mochamad Agung Wibowo and Endah Murtiana Sari
Buildings 2024, 14(5), 1424; https://doi.org/10.3390/buildings14051424 - 15 May 2024
Cited by 2 | Viewed by 1079
Abstract
Procurement is the process of obtaining goods and services in a construction project and is a crucial point for the success of a design and build (DB) project. The success of a DB project has an effect on work performance metrics such as [...] Read more.
Procurement is the process of obtaining goods and services in a construction project and is a crucial point for the success of a design and build (DB) project. The success of a DB project has an effect on work performance metrics such as cost, quality, and time. Therefore, this research aims to develop a readiness model for implementing sustainable procurement in a DB project with a financing system in the state/regional budget (APBN/APBD). By using previous literature reviews, this research adopted a mixture of qualitative and quantitative methods. Specifically, the qualitative method was conducted using in-depth interviews, and conclusions were drawn using the Delphi method and focus group discussion (FGD). Meanwhile, the quantitative method was used to analyze secondary data from the current DB project in order to examine sustainable procurement. The projects examined were spread across the country and had a value of at least 100 billion. Consequently, the results showed that various factors influenced sustainable procurement in the DB management project. In addition, this research impacted better procurement management in the DB project based on APBN/APBD funding, thereby increasing project productivity and innovation, as well as other beneficial values to stakeholders. Typically, the result could be used as a readiness model for implementing sustainable procurement in a DB project with APBN/APBD funding schemes, serving as a guide for construction management in the future and being useful for decision making on government projects. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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22 pages, 5903 KiB  
Article
Using Bibliometrics and Grounded Theory in Investigating Factors Influencing Profit Distribution in Integrated Project Delivery Projects
by Shuwen Guo, Huaping Xiong, Jinhua Chen and Kai Hu
Buildings 2024, 14(5), 1418; https://doi.org/10.3390/buildings14051418 - 14 May 2024
Viewed by 788
Abstract
Integrated project delivery (IPD) has gained significant attention as an effective alternative to traditional project delivery models. Profit distribution is a crucial aspect of IPD projects, influencing their overall success. This study aims to investigate the key factors impacting profit distribution to offer [...] Read more.
Integrated project delivery (IPD) has gained significant attention as an effective alternative to traditional project delivery models. Profit distribution is a crucial aspect of IPD projects, influencing their overall success. This study aims to investigate the key factors impacting profit distribution to offer strategic guidance for project management practices. The study employs a comprehensive bibliometric analysis to establish an updated research framework in this domain. Through this analysis, 24 articles with highly relevant and extensively cited sources are identified for further examination. Grounded theory is subsequently applied to distill the findings. This process yields a foundational theoretical framework that delineates the factors influencing profit distribution in IPD projects, namely, contribution, resource-based input, effort level, and risk sharing. Additionally, a textual analysis of ten burst words is conducted to discern research trends and identify future areas of study. This research contributes to the existing literature by addressing gaps and providing a roadmap for future IPD investigations. A theoretical framework of influencing factors in profit distribution in IPD projects is developed based on the literature. The findings not only enhance understanding of profit distribution dynamics in IPD projects but also guide the implementation and optimization of IPD practices. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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18 pages, 1970 KiB  
Article
Dynamic Bayesian Network-Enabled Approach for Organizational Leadership Measurement of Complex Construction Projects
by Hao Shen, Lan Luo, Xiaoxuan Niu, Chengqian Fu and Yujie Han
Buildings 2024, 14(4), 1123; https://doi.org/10.3390/buildings14041123 - 17 Apr 2024
Cited by 1 | Viewed by 879
Abstract
Complex construction projects are characterized by a large scale, high dynamics, many unknown risks, high complexity, etc., which often result in serious consequences, such as schedule delays, cost overruns, and uncontrolled objectives. Organizational leadership, which can be dynamically adjusted to the changes in [...] Read more.
Complex construction projects are characterized by a large scale, high dynamics, many unknown risks, high complexity, etc., which often result in serious consequences, such as schedule delays, cost overruns, and uncontrolled objectives. Organizational leadership, which can be dynamically adjusted to the changes in the external environment, is the most important management ability of project managers. Therefore, it is of great significance to systematically analyze organizational leadership for the management of complex construction projects. In this paper, through the dynamic Bayesian method, the influencing factors of organizational leadership of complex construction projects and its dynamic development law are studied in depth. First, 17 organizational leadership factors are identified. Second, a dynamic Bayesian measurement model of organizational leadership was developed using 128 training samples. Third, the developed measurement model was applied for model analysis. The results of the study are as follows. (1) This study models changes in organizational leadership influences over time. (2) The organizational leadership measurement model proposed in this study can be applied in practice to predict leadership trends in specific projects. (3) Leaders should pay more attention to management competence in the personal leadership dimension, culture building in the relational leadership dimension, and institutional support in the strategic leadership dimension. This study proposes a quantifiable model for project leaders that breaks through the traditional model of studying organizational leadership from a static perspective, provides a quantifiable model for project leaders, and can cope with the dynamics of actual projects so that project leaders can control the whole leadership process macroscopically, thus providing an important reference to improve the organizational leadership capacity of complex construction projects. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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21 pages, 1293 KiB  
Article
Safety Risk Analysis of Urban Viaduct Construction Based on Dynamic Weight
by Ruijiang Ran, Shengmin Wang, Jun Fang and Yajie Wang
Buildings 2024, 14(4), 1014; https://doi.org/10.3390/buildings14041014 - 5 Apr 2024
Cited by 1 | Viewed by 1183
Abstract
The safety risk analysis of urban elevated bridge construction is an important management method to reduce the loss of safety accidents, and it has significant scientific research value and engineering application value. Therefore, this study proposes a novel analysis method to address these [...] Read more.
The safety risk analysis of urban elevated bridge construction is an important management method to reduce the loss of safety accidents, and it has significant scientific research value and engineering application value. Therefore, this study proposes a novel analysis method to address these challenges. Firstly, this paper constructs a Work Breakdown Structure (WBS)–Risk Breakdown Structure (RBS) matrix for the safety risk of urban elevated bridge construction in order to achieve a comprehensive and complete identification of the indicator system. Then, a combination of static weights and dynamic weights calculation methods is developed. The static weights are obtained using the analytic hierarchy process, while the dynamic weights are obtained based on the relationship between the dynamic scores of construction safety risk indicators in different construction stages and the preset evaluation levels. Finally, a case study of the Longlingshan elevated bridge project in Wuhan, China, is conducted to validate the feasibility of the proposed model and its potential application in projects. The case analysis for the first time reveals that with the progress of construction, the weights of each indicator continuously change, and the secondary indicators related to environmental factors, such as extreme high-temperature weather, undergo the greatest changes. A comparison of different dynamic weight calculation methods is conducted to highlight the advancement of the proposed model. The research findings of this paper will provide new insights and guidance for improving the construction safety of urban elevated bridge projects. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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23 pages, 2894 KiB  
Article
Data-Driven Dynamic Bayesian Network Model for Safety Resilience Evaluation of Prefabricated Building Construction
by Junwu Wang, Zhao Chen, Yinghui Song, Yipeng Liu, Juanjuan He and Shanshan Ma
Buildings 2024, 14(3), 570; https://doi.org/10.3390/buildings14030570 - 21 Feb 2024
Cited by 1 | Viewed by 1308
Abstract
Due to factors such as the availability of assembly equipment, technology, and site management level, prefabricated building construction safety accidents often occur. To ensure the safety of prefabricated buildings and effectively reduce the accident rate, the concept of resilience is introduced into the [...] Read more.
Due to factors such as the availability of assembly equipment, technology, and site management level, prefabricated building construction safety accidents often occur. To ensure the safety of prefabricated buildings and effectively reduce the accident rate, the concept of resilience is introduced into the safety management of prefabricated buildings. Based on the resilience absorption capacity, adaptation capacity, recovery capacity, and optimization capacity, a comprehensive evaluation index system for the safety resilience of prefabricated buildings is established. By combining prior knowledge with structural learning and parameter learning, a dynamic Bayesian network (DBN) model is constructed to dynamically evaluate the safety resilience of prefabricated buildings. Through forward causal reasoning and backward diagnostic reasoning, the dynamic safety resilience value of prefabricated buildings and the chain of maximum failure causes are obtained. Finally, by conducting a sensitivity analysis on the target nodes, the key influencing factors of the safety resilience of prefabricated construction are identified, and improvement suggestions for enhancing resilience are proposed. The results indicate that establishing a resilience safety culture, preventing unsafe behaviors of personnel, safety management, and supervision on the construction site, emergency management actions, and building a risk management information system are crucial factors influencing the safety resilience of prefabricated buildings. The enhancement of absorption capacity has the greatest impact on the safety resilience of prefabricated buildings. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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14 pages, 814 KiB  
Article
A Study of Factors Influencing Construction Workers’ Intention to Share Safety Knowledge
by Yujie Mei, Jianping Huang, Jianqiang Liu and Lu Jia
Buildings 2024, 14(2), 440; https://doi.org/10.3390/buildings14020440 - 5 Feb 2024
Cited by 1 | Viewed by 1438
Abstract
There is a growing body of research on the factors influencing individual knowledge-sharing behavior, but the exploration of knowledge sharing in the construction industry is still in its infancy. Based on the theory of planned behavior (TPB), this paper introduced factors from the [...] Read more.
There is a growing body of research on the factors influencing individual knowledge-sharing behavior, but the exploration of knowledge sharing in the construction industry is still in its infancy. Based on the theory of planned behavior (TPB), this paper introduced factors from the social exchange theory (SET) to develop a comprehensive model for exploring the intention of construction workers to share their safety knowledge. Data were collected from a total of 329 construction workers at five sites. Using the structural equation model method, the research model and path hypotheses of this study were analyzed. The results showed that altruism, trust, and reputation positively influenced the construction workers’ attitude towards sharing safety knowledge. Attitude, safety training, organizational climate, and knowledge-sharing self-efficacy could increase the construction workers’ intention to share their safety knowledge. However, the relationship between workers’ attitudes towards safety knowledge sharing and anticipated extrinsic rewards was not significant. Through identifying the factors underlying workers’ intention to share safety knowledge in the construction industry, the study helps to further understand the influencing factors and mechanisms of safety knowledge sharing willingness among the special group of construction workers and provides practical implications for engineering managers to strengthen construction safety management from the perspective of knowledge sharing. Full article
(This article belongs to the Special Issue Advances in Life Cycle Management of Civil Engineering)
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