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6 pages, 211 KiB

Open AccessEditorial

Tradition and Innovation in Construction Project Management

by Yongjian Ke, Jingxiao Zhang and Simon P. Philbin

Buildings 2023, 13(6), 1537; https://doi.org/10.3390/buildings13061537 - 16 Jun 2023

Cited by 1 | Viewed by 3229

Abstract

Construction project management is a multidimensional discipline that requires meticulous consideration of various critical aspects, including cost, quality, schedule requirements, as well as social and environmental impacts, and broader stakeholder interests [...] Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

Research

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24 pages, 2340 KiB

Open AccessArticle

Accelerating the Delivery of Low-Carbon Buildings by Addressing Common Constraints: Perspectives from High-Rise, High-Density Cities

by Mohan M. Kumaraswamy, Nandun Madhusanka Hewa Welege and Wei Pan

Buildings 2023, 13(6), 1455; https://doi.org/10.3390/buildings13061455 - 2 Jun 2023

Cited by 5 | Viewed by 1654

Abstract

The delivery of low-carbon buildings (LCBs) in high-rise, high-density cities is still hindered by various common and interdependent constraints. However, a study that developed innovative strategies to address the common constraints to delivering LCBs focusing on traditional high-rise, high-density cities could not be [...] Read more.

The delivery of low-carbon buildings (LCBs) in high-rise, high-density cities is still hindered by various common and interdependent constraints. However, a study that developed innovative strategies to address the common constraints to delivering LCBs focusing on traditional high-rise, high-density cities could not be identified in the previous literature. Therefore, this study aimed to identify potential strategies for accelerating the delivery of LCBs in high-rise, high-density cities by addressing relevant common constraints that were identified in recent studies. Accordingly, potentially relevant strategies were identified through eight semi-structured interviews with well-experienced experts in industry and academia. Consequently, 71 strategies were identified under six categories, i.e., policy implementation, building energy/carbon data utilisation, awareness raising/training, technology advancement, incentives, and organisational level commitments. This also required closer collaboration with different stakeholders/stakeholder classes in implementing these strategies, who were, therefore, also identified. An SNA-based analysis was also conducted to explore the connections between constraints and strategies. The strategies related to energy/carbon policy development, standardisation, codes and certifications, mandatory regulations, financial incentives, and technology adoption showed the ability to address a majority of the driving constraints related to policies and technologies. These study findings will assist policymakers and other relevant stakeholders in the arena of the project and asset management in accelerating the delivery of LCBs by adopting an innovative approach to prioritise potential strategies in order to suitably address and synergise the complex interdependencies among the constraints. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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18 pages, 2144 KiB

Open AccessArticle

Optimizing Interfaces of Construction Processes by Digitalization Using the Example of Hospital Construction in Germany

by Sabine Hartmann, Dirk Gossmann, Suzan Kalmuk and Katharina Klemt-Albert

Buildings 2023, 13(6), 1421; https://doi.org/10.3390/buildings13061421 - 30 May 2023

Cited by 4 | Viewed by 2269

Abstract

In hospital construction, additional challenges must be considered, such as an increased number of stakeholders and building trades, such as medical and laboratory technology. Due to the increasing requirements and challenges, associated construction processes are becoming more intricate. Especially for complex building types, [...] Read more.

In hospital construction, additional challenges must be considered, such as an increased number of stakeholders and building trades, such as medical and laboratory technology. Due to the increasing requirements and challenges, associated construction processes are becoming more intricate. Especially for complex building types, the effects of this development are clearly noticeable and cause considerable disruptions to the construction process. A main difficulty constitutes the missing definition of the interfaces of building trades and participants. In the present study, interfaces in hospital construction were identified and analyzed by guided interviews with experts from the health sector. The qualitative content analysis, according to Mayring, was used for the evaluation to derive appropriate solution approaches. This paper presents the interfaces using the example of hospital construction in Germany and general approaches of optimization. Hereby, the digital method Building Information Modeling (BIM) plays a decisive role in the optimization of interfaces, especially in complex buildings. Furthermore, a task and building trade control matrix is required to better coordinate the interfaces. The identified approach intends to alleviate potential disputes and misunderstandings among stakeholders, as well as to improve time and financial predictability, which are particularly valuable during inflationary periods. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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25 pages, 5673 KiB

Open AccessArticle

Risk Propagation Model and Simulation of an Assembled Building Supply Chain Network

by Yingchen Wang, Ran Sun, Liyuan Ren, Xiaoxiao Geng, Xiangmei Wang and Ling Lv

Buildings 2023, 13(4), 981; https://doi.org/10.3390/buildings13040981 - 7 Apr 2023

Cited by 10 | Viewed by 1822

Abstract

In recent years, the prefabricated building supply chain has received strong support from the government and has developed rapidly, but there are various risks in the operation process. In this paper, on the basis of considering asymptomatic infections and relapse, this paper establishes [...] Read more.

In recent years, the prefabricated building supply chain has received strong support from the government and has developed rapidly, but there are various risks in the operation process. In this paper, on the basis of considering asymptomatic infections and relapse, this paper establishes a risk transmission model that considers a recurrent Susceptible–Exposed–Asymptomatic–Infectious–Recovered (abbr. SEAIR) model, systematically analyses the risks in the supply chain, and calculates the risk balance point to conclude that the risks can exist in the supply chain for a long time. By drawing a causal circuit diagram, the relationship between the influencing factors in the process of risk transmission is found, establishing a stock flow map to explore the law of risk propagation. The simulation results using Vensim PLE software show that the five influencing factors of infection rate, transmission rate, government financial support, government policy supervision, and immunity loss ratio have an important impact on the number of risk-unknown enterprises, risk-latent enterprises, risk transmission enterprises, and infection rehabilitation enterprises in risk transmission, and relevant countermeasures to deal with risk transmission in the supply chain are proposed. Theoretically, this paper broadens the ideas for improving infectious disease models. From the management point of view, it reveals how the prefabricated building supply chain enables enterprises to improve their ability to deal with risks through the risk propagation model, providing reference and helping to manage the risks faced by the prefabricated building supply chain. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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17 pages, 1389 KiB

Open AccessArticle

Regret Theory and Fuzzy-DEMATEL-Based Model for Construction Program Manager Selection in China

by Hongyan Yan, Yuxuan Yang, Xi Lei, Qing Ye, Wenzhen Huang and Ce Gao

Buildings 2023, 13(4), 838; https://doi.org/10.3390/buildings13040838 - 23 Mar 2023

Cited by 12 | Viewed by 1752

Abstract

During the drastic changing process of the construction industry in China, construction program management has been given significant attention. Due to the complexity of construction programs, selecting competent managers is crucially important to its success. Therefore, based on a comprehensive literature review, this [...] Read more.

During the drastic changing process of the construction industry in China, construction program management has been given significant attention. Due to the complexity of construction programs, selecting competent managers is crucially important to its success. Therefore, based on a comprehensive literature review, this paper combines regret theory and the Fuzzy-DEMATEL method to develop a multi-attribute model for construction program manager selection. Firstly, six competence elements are extracted, then the manager selection and evaluation index system are constructed. Secondly, the regret theory is used to simulate the psychological characteristics of the decision makers, combined with Fuzzy-DEMATEL, the comprehensive weights for each element are calculated. Lastly, all alternatives for the selection are sorted and the competent ones are selected. A case study is provided to exam the effectiveness of the developed model. Results shows that the proposed model adopted multi-attribute evaluation and group decision making and took into account the psychological behavior of decision makers as well as influences from the relationships between different attributes. Such results indicate that the proposed model is able to provide more comprehensive and scientific construction program manager selections, which can further improve the management of construction programs. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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23 pages, 4000 KiB

Open AccessArticle

Spatiotemporal Differentiation and Influencing Factors of Green Technology Innovation Efficiency in the Construction Industry: A Case Study of Chengdu–Chongqing Urban Agglomeration

by Bo Wang, Hongxi Chen, Yibin Ao and Fangwei Liao

Buildings 2023, 13(1), 73; https://doi.org/10.3390/buildings13010073 - 28 Dec 2022

Cited by 9 | Viewed by 2110

Abstract

In order to support the green and low-carbon transformation of China’s construction industry and accomplish the dual carbon objective, it is vital to accelerate green technology innovation. Therefore, this paper takes the Chengdu–Chongqing urban agglomeration of China as the study area, using the [...] Read more.

In order to support the green and low-carbon transformation of China’s construction industry and accomplish the dual carbon objective, it is vital to accelerate green technology innovation. Therefore, this paper takes the Chengdu–Chongqing urban agglomeration of China as the study area, using the super-efficiency slacks-based measure (SBM)model and the gravity model to assess the efficiency of green technology innovation in the construction industry, utilizing geographical detectors to investigate the drivers of green technology innovation in the construction industry further. Additionally, we consider each influencing factor’s level of impact on the efficiency of green technology innovation in the construction sector both under the single factor and double factor scenarios. The findings indicate that there is a considerable difference in the efficiency of green technology innovation in the Chengdu–Chongqing metropolitan agglomeration’s construction industry, and the trend is upward. In addition, the research area exhibited spatially heterogeneous characteristics in terms of the efficiency of green technology innovation in the construction industry, and the spatial spillover effect was significantly limited by distance. Further research revealed that environmental legislation, economic development, public environmental concern, urbanization level, and foreign direct investment were the primary driving factors of green technology innovation efficiency in the construction sector, and industrial size was the potential driving factor. The spatial and temporal differentiation of the green technology innovation efficiency in the construction industry was also more affected by the interaction between the dominating factor and the prospective factor than by either factor acting alone. The research’s findings are useful in advancing the green and low-carbon transformation of the construction sector in the Chengdu–Chongqing metropolitan agglomeration by offering theoretical support and decision-making reference. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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15 pages, 7137 KiB

Open AccessArticle

The Influence Innovation Has on the Visual Appearance and Aesthetic Preference of Architectural Products

by Mozammel Mridha, Blair Kuys and Safia Najwa Suhaimi

Buildings 2023, 13(1), 19; https://doi.org/10.3390/buildings13010019 - 22 Dec 2022

Cited by 6 | Viewed by 2449

Abstract

The importance of innovation for architectural products in the building industry increases due to global competitive markets and users’ increased value given to the visual aesthetics of products. Visual appearance is crucial in architecture and product design and influences users’ product choices in [...] Read more.

The importance of innovation for architectural products in the building industry increases due to global competitive markets and users’ increased value given to the visual aesthetics of products. Visual appearance is crucial in architecture and product design and influences users’ product choices in many ways. Substantial research on innovation exists concerning users’ purchasing, adopting, and recommending it to others, but little research investigates the link between product innovation and aesthetic preference. This gap in knowledge prompted our investigation. Quantitative analysis of a survey of 114 respondents from Australia was conducted in this study to examine whether innovation plays a significant role in perceiving the aesthetic preference of an architectural product more than other visual appearances. Standard multiple regression using SPSS V28 was applied for statistical data analysis. Results uncovered that innovation explained the highest percentage of variance in overall aesthetic preference, and the innovativeness of a product strongly influences the visual appearance and aesthetic preference. The findings of this study offer new insight into the level of innovation for new product development where visual appearance is of high importance. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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15 pages, 1015 KiB

Open AccessArticle

A Critical Scoping Review of Disability Employment Research in the Construction Industry: Driving Social Innovation through More Inclusive Pathways to Employment Opportunity

by Susan Bailey, Phillippa Carnemolla, Martin Loosemore, Simon Darcy and Shankar Sankaran

Buildings 2022, 12(12), 2196; https://doi.org/10.3390/buildings12122196 - 12 Dec 2022

Cited by 7 | Viewed by 3211

Abstract

Innovation research in construction has almost exclusively focused on economic and technological innovation. In contrast, the emerging concept of social innovation has been largely ignored. This is despite the global growth of social procurement policies which incentivize construction firms to innovate in providing [...] Read more.

Innovation research in construction has almost exclusively focused on economic and technological innovation. In contrast, the emerging concept of social innovation has been largely ignored. This is despite the global growth of social procurement policies which incentivize construction firms to innovate in providing employment opportunities for equity-seeking groups. While there is an emerging body of research which is starting to explore innovative employment pathways into construction for certain equity-seeking groups such as women, refugees and Indigenous people, there has been relatively little research into employment pathways for people with a disability. Addressing this gap in research, this paper reports the results of a critical scoping review of Web of Science, Scopus, PubMed and Google Scholar publications on the employment of people with disability in construction. Using the Preferred Reporting Items for Systematic reviews (PRISMA-ScR) approach, extant research was mapped across seven themes of hiring disability practices. Results indicate that research into the employment of people with disability in construction internationally remains nascent with significant knowledge gaps compared to mainstream disability employment research. These key gaps include: barriers to employment based on the lived experiences of people with disability seeking employment in construction; the facilitation of cross-sector relationships with organizations that support people with disability into employment; the reduction of biases, ingrained stigmas and inequalities in recruitment practices for people with disability; and the role of informal norms and practices in undermining formal laws, regulations and policies designed to reduce barriers to employment. The scoping review also identifies a methodological gap in the research reviewed by highlighting the need for more construction research designs to include people with disability as prioritized research participants as well as research investigators and to adopt phenomenological and interpretive approaches which respect the lived experiences of people with a disability seeking work in the construction industry. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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19 pages, 3568 KiB

Open AccessArticle

Current and Future Trends of Resource Misallocation in the Construction Industry: A Bibliometric Review with Grounded Theory

by Jingxiao Zhang, Fangyu Dong, Pablo Ballesteros-Pérez, Hui Li and Martin Skitmore

Buildings 2022, 12(10), 1731; https://doi.org/10.3390/buildings12101731 - 19 Oct 2022

Cited by 1 | Viewed by 2761

Abstract

Resource misallocation (RM) refers to the existence of marginal output inequalities between different industries or companies in an economy. Prior studies of RM have mostly focused on effect analysis, construction industry structure upgrades, and organization management. However, these studies have been fragmented and [...] Read more.

Resource misallocation (RM) refers to the existence of marginal output inequalities between different industries or companies in an economy. Prior studies of RM have mostly focused on effect analysis, construction industry structure upgrades, and organization management. However, these studies have been fragmented and unrelated. This paper analyzes the status quo, consequences, and emerging trends of RM research at the macroscopic level based on current problems and with the aim of exploring potential solutions. Drawing on grounded theory, a qualitative analysis using text-mining is used to analyze the characteristics of 124 RM-related papers. The results more comprehensively and systematically reveal that current RM research encompasses four major dimensions of sources and concepts, misallocation degree measurement and characterization, focused issues (field), and RM research deficiencies. Methods for measuring RM have also been developed from the simple proportional method to current mainstream methods (e.g., growth rate decomposition and variant substitution). We conclude that, in order for this discipline to thrive and effectively reduce RM, future research into RM should focus on core categories, especially the reform of market-oriented factors, transformation of government functions, construction industrial structure adjustment, and methods of income distribution. This systematic review provides a discipline oversight and uncovers necessary and potential research directions. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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16 pages, 697 KiB

Open AccessArticle

Barriers to Adopting Lean Construction in Small and Medium-Sized Enterprises—The Case of Peru

by Cristian Huaman-Orosco, Andrews A. Erazo-Rondinel and Rodrigo F. Herrera

Buildings 2022, 12(10), 1637; https://doi.org/10.3390/buildings12101637 - 9 Oct 2022

Cited by 9 | Viewed by 4465

Abstract

The competitiveness in the construction industry is leading companies to implement the Lean philosophy to improve project management and prepare to begin the adoption of Construction 4.0. However, this implementation generates several barriers, depending on the type of company and the country where [...] Read more.

The competitiveness in the construction industry is leading companies to implement the Lean philosophy to improve project management and prepare to begin the adoption of Construction 4.0. However, this implementation generates several barriers, depending on the type of company and the country where it is implemented. For this reason, the following research aims to identify the barriers generated in implementing the Lean philosophy in Peru and SMEs. The following study began with a literature review, followed by a questionnaire, which six Lean experts evaluated. Then, 127 Peruvian professionals answered the survey, and the data were analyzed with RII and Exploratory Factor Analysis. As a result, the barriers to Lean Construction were grouped into four groups to analyze their impact on the industry: collaboration, education and implementation, organizational vision and system; Lean theory and philosophy; and Lean tools, coordination, and information flow. Barriers were also analyzed by project type, stage, and organization size to conclude that implementation barriers are directly related to company size. Finally, the obtained barriers are discussed, and Construction 4.0 is proposed to reduce their impact on construction projects. These results can be helpful for implementers to plan strategies, improve knowledge about Lean Construction implementation, and adopt new techniques that could help improve the construction industry’s productivity. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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22 pages, 1676 KiB

Open AccessArticle

Systematic Identification of the Influencing Factors for the Digital Transformation of the Construction Industry Based on LDA-DEMATEL-ANP

by Hui Li, Zhengji Han, Jingxiao Zhang, Simon P. Philbin, Die Liu and Yongjian Ke

Buildings 2022, 12(9), 1409; https://doi.org/10.3390/buildings12091409 - 8 Sep 2022

Cited by 22 | Viewed by 4499

Abstract

There is an urgent need to improve our understanding of the digital transformation of the construction in order to leverage the benefits of the wider adoption of the Industry 4.0 paradigm. However, there is a lack of systematic research on the digital transformation [...] Read more.

There is an urgent need to improve our understanding of the digital transformation of the construction in order to leverage the benefits of the wider adoption of the Industry 4.0 paradigm. However, there is a lack of systematic research on the digital transformation pathway of the construction industry. In view of this, this study uses the LDA theme model to explore the key influencing factors for the digital transformation of the construction industry and builds a digital comprehensive evaluation system of the construction industry with DEMATEL-ANP. The findings are as follows: Firstly, five elements of the construction industry, such as enterprise resources, enterprise capabilities, enterprise spirit, macro environment and industry environment, have an important impact on the digital transformation of the construction industry. Secondly, the ability of construction enterprises has the most significant influence on the digital transformation of the construction industry. This empirical study provides policy suggestions and an implementation framework for realizing high-quality development of the construction industry based on digital technological innovation. The study helps construction enterprises to understand the necessity of digital transformation and provides a theoretical basis and practical ideas for construction enterprises to formulate their own digital transformation strategies. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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33 pages, 10205 KiB

Open AccessFeature PaperArticle

The Creation of Construction Schedules in 4D BIM: A Comparison of Conventional and Automated Approaches

by Omar Doukari, Boubacar Seck and David Greenwood

Buildings 2022, 12(8), 1145; https://doi.org/10.3390/buildings12081145 - 1 Aug 2022

Cited by 26 | Viewed by 12599

Abstract

Building Information Modelling (BIM) is now a globally recognised phenomenon, though its adoption remains inconsistent and variable between and within the construction sectors of different countries. BIM technology has enabled a wide range of functional applications, one of which, ‘4D BIM’, involves linking [...] Read more.

Building Information Modelling (BIM) is now a globally recognised phenomenon, though its adoption remains inconsistent and variable between and within the construction sectors of different countries. BIM technology has enabled a wide range of functional applications, one of which, ‘4D BIM’, involves linking the tasks in a project’s construction schedule to its object-orientated 3D model to improve the logistical decision making and delivery of the project. Ideally, this can be automatically generated but in reality, this is not currently possible, and the process requires considerable manual effort. The level of maturity and expertise in the use of BIM amongst the project participants still varies considerably; adding further obstacles to the ability to derive full benefits from BIM. Reflecting these challenges, two case studies are presented in this paper. The first describes a predominantly manual approach that was used to ameliorate the implementation of 4D BIM on a project in Paris. In fact, there is scope for automating the process: a combination of BIM and Artificial Intelligence (AI) could exploit newly-available data that are increasingly obtainable from smart devices or IoT sensors. A prerequisite for doing so is the development of dedicated ontologies that enable the formalisation of the domain knowledge that is relevant to a particular project typology. Perhaps the most challenging example of this is the case of renovation projects. In the second case study, part of a large European research project, the authors propose such an ontology and demonstrate its application by developing a digital tool for application within the context of deep renovation projects. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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13 pages, 268 KiB

Open AccessArticle

The Current Risk Management Practices and Knowledge in the Construction Industry

by Rami A. Bahamid, Shu Ing Doh, Muhamad Azry Khoiry, Mukhtar A. Kassem and Mohammed A. Al-Sharafi

Buildings 2022, 12(7), 1016; https://doi.org/10.3390/buildings12071016 - 14 Jul 2022

Cited by 25 | Viewed by 7678

Abstract

Construction is a critical sector of any economy in terms of value production, labor, and contributing to the gross national product. Managing risk is a relatively young area in Yemen’s construction sector, but it is gaining traction as building activity and competition rise. [...] Read more.

Construction is a critical sector of any economy in terms of value production, labor, and contributing to the gross national product. Managing risk is a relatively young area in Yemen’s construction sector, but it is gaining traction as building activity and competition rise. Construction firms mitigate risk by using a variety of risk management methods. Therefore, there is a need to assess these procedures in order to detect shortcomings. This research aims to establish the existing risk management strategies used in Yemeni building projects. Survey questionnaires were used to collect data. Respondents were drawn from Yemeni construction businesses. Risk management is not executed systematically, intentionally, or continuously, and most firms’ risk management procedures are reactive, semipermanent, informal, and unstructured, with no or few dedicated resources to address risks. This strategy is inconsistent with generally accepted risk management principles. Nonetheless, the findings suggest a general understanding of risk management and a willingness to learn from previous errors. The study of the findings suggests that risk identification approaches such as judgment and historical data are employed for risk analysis, and that the industry typically attempts to avoid or transfer risks in Yemeni building projects. The results shed light on the shortcomings of Yemen’s project management practices. To guarantee that construction projects obtain maximum value for money, project managers of big construction businesses in Yemen need a strong understanding of and training in globally accepted systematic risk management procedures. Finally, this study can help future stakeholders determine how to work together to manage risk. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

13 pages, 2396 KiB

Open AccessArticle

Evaluation of Park Accessibility Based on Improved Gaussian Two-Step Floating Catchment Area Method: A Case Study of Xi’an City

by Yunmei Li, Yuanli Xie, Shaoqi Sun and Lifa Hu

Buildings 2022, 12(7), 871; https://doi.org/10.3390/buildings12070871 - 21 Jun 2022

Cited by 12 | Viewed by 2840

Abstract

Park accessibility plays a critical role in evaluating the quality of park construction. However, the conventional accessibility model ignores non-spatial factors, so it is crucial to use more complex methods for evaluating park accessibility. This study aims to establish an improved Gaussian-based two-step [...] Read more.

Park accessibility plays a critical role in evaluating the quality of park construction. However, the conventional accessibility model ignores non-spatial factors, so it is crucial to use more complex methods for evaluating park accessibility. This study aims to establish an improved Gaussian-based two-step floating catchment area method (iG2SFCA) based on Point of Interest (POI), population data and Baidu map, to measure the park accessibility of various travel modes (walking, riding and driving modes) in 5-min, 15-min and 30-min scenarios, and location quotient is used to assess spatial equity of parks. The results show that: (1) There are clear disparities between park supply and population demand at the street level. (2) iG2SFCA evaluates the level and attractiveness of the park comprehensively. It is more sensitive to identifying accessibility, which can lead to a more realistic assessment of Park accessibility. (3) Under the three modes of transportation, the accessible area of the park increases with time, and the accessibility difference between residential areas is the smallest under the 30-min scenario. Overall, accessibility of park is relatively high; however, there is an obvious tendency for the accessibility level to decrease from the park as the center. The areas with poor accessibility appear in the north and southeast of the research area. (4) There are regional variances in the spatial equity of parks within Xi’an 3 City, and the park configuration needs to be optimized. These findings can provide theoretical support for further optimizing the layout of park in Xi’an in order to improve the spatial equity of urban parks. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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22 pages, 1328 KiB

Open AccessArticle

Safety Risk Assessment of Prefabricated Buildings Hoisting Construction: Based on IHFACS-ISAM-BN

by Junwu Wang, Feng Guo, Yinghui Song, Yipeng Liu, Xuan Hu and Chunbao Yuan

Buildings 2022, 12(6), 811; https://doi.org/10.3390/buildings12060811 - 12 Jun 2022

Cited by 22 | Viewed by 3647

Abstract

Prefabricated buildings that are more environmentally friendly have been vigorously promoted by the Chinese government because of the reduced waste and carbon emissions during the construction process. Most of the construction processes of prefabricated buildings are completed in the prefabricated component factory, but [...] Read more.

Prefabricated buildings that are more environmentally friendly have been vigorously promoted by the Chinese government because of the reduced waste and carbon emissions during the construction process. Most of the construction processes of prefabricated buildings are completed in the prefabricated component factory, but the safety risks during the hoisting process cannot be ignored. In this paper, the initial framework of a Bayesian Network (BN) is obtained from the combination of the improved Human Factors Analysis and Classification System Model (HFACS) and BN. The improved similarity aggregation method (SAM) is used to calculate the prior probability of BN, which can better summarize and deal with the fuzzy judgment of experts on risk accidents. The improved SAM can consider both the weight of experts and the relative consistency of their opinions, which is of great significance for improving the reliability of BN inputted data. This paper uses the construction project in Sanya, Hainan Province, to verify the validity of the model. The results show that the calculation results of the model are basically consistent with the actual situation. The safety risk of this project is relatively low, and the premise of unsafe behaviors and unsafe supervision are the key risk factors of the project. In addition to maintaining good construction conditions and workers’ healthy states, it is also necessary to carefully check the performance of tower cranes and equipment such as spreaders. During the operation process of the tower crane, workers should avoid walking or staying within the hoisting range. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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13 pages, 1483 KiB

Open AccessArticle

How Private Enterprises’ Participation Behaviors Evolve with Incentive Modes in PPPs: An Evolutionary Game View

by Yunhua Zhang, Hongyang Yi, Hongtao Xie, Junwei Zheng and Yan Wang

Buildings 2022, 12(6), 709; https://doi.org/10.3390/buildings12060709 - 24 May 2022

Cited by 3 | Viewed by 1946

Abstract

The high risk of financing, building, and operating Public–private partnerships (PPPs) often results from the event that participants can barely obtain expected economic returns, thus inhibiting private enterprises’ willingness to participate in PPPs. To increase private enterprises’ desire to participate, this study constructed [...] Read more.

The high risk of financing, building, and operating Public–private partnerships (PPPs) often results from the event that participants can barely obtain expected economic returns, thus inhibiting private enterprises’ willingness to participate in PPPs. To increase private enterprises’ desire to participate, this study constructed an evolutionary game model of private enterprises’ participation in PPPs, focusing on the perspective of the mode of incentive. This model revealed the evolutionary law of private enterprises’ participation behavior under different modes of incentive. The results indicate that: First, there is a positive correlation between the intensity of government incentive, the investment return rate, and the probability of private enterprises choosing to participate in PPPs. Specifically, the impact of the investment return rate is more sensitive than the other factors. Second, the cost rate of financing and the risk cost of project uncertainty are negatively correlated with the probability of private enterprises choosing to participate in PPPs, and the impact of the project risk cost is more sensitive than the other factors in this case. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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20 pages, 2639 KiB

Open AccessArticle

A Real Estate Early Warning System Based on an Improved PSO-LSSVR Model—A Beijing Case Study

by Lida Wang, Xian Rong, Zeyu Chen, Lingling Mu and Shan Jiang

Buildings 2022, 12(6), 706; https://doi.org/10.3390/buildings12060706 - 24 May 2022

Cited by 4 | Viewed by 2155

Abstract

The real estate market is vital for national economic development, and it is of great significance to research an early warning method to identify an abnormal status of the real estate market. In this study, a real estate early warning system based on [...] Read more.

The real estate market is vital for national economic development, and it is of great significance to research an early warning method to identify an abnormal status of the real estate market. In this study, a real estate early warning system based on the PSO-LSSVR model was created to train and test the indicator data of Beijing from 2000 to 2020, and to predict the early warning indicator of the Beijing real estate market from 2021 to 2030. The results showed that the warning status of the Beijing real estate market went from a fluctuation status to a stable “Normal” status from 2000 to 2020, and the warning status is expected to be more stable under a “Normal” status in the next decade under the same political and economic environment. The PSO-LSSVR model was found to have accurate prediction ability and demonstrated generalization ability. Furthermore, the warning status of the Beijing real estate market was analyzed in combination with national historical policies. Based on the results, this paper proposes policy recommendations to promote the healthy and sustainable development of the real estate market. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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13 pages, 803 KiB

Open AccessArticle

Risk Coupling Evaluation of Social Stability of Major Engineering Based on N-K Model

by Hongyan Yan, Zhouwei Zheng, Hanjie Huang, Xinyi Zhou, Yizhi Tang and Ping Hu

Buildings 2022, 12(6), 702; https://doi.org/10.3390/buildings12060702 - 24 May 2022

Cited by 11 | Viewed by 2187

Abstract

In view of the sociality, complexity, and uncertainty of major engineering projects, social stability poses many problems for social contradictions and conflicts in the whole life cycle of the project. This study aimed to investigate the approach of the coupling evaluation method to [...] Read more.

In view of the sociality, complexity, and uncertainty of major engineering projects, social stability poses many problems for social contradictions and conflicts in the whole life cycle of the project. This study aimed to investigate the approach of the coupling evaluation method to analyze the coupling influence of social stability risk factors of major projects. First, the potential risk factors of internal and external social stability risk of major projects were abstracted based on literature research and case analysis, and a bow-tie model and a coupling evaluation index system were constructed. Then, a N-K model of social stability risk coupling evaluation of major projects was constructed based on complex network, and the probability and risk value of the coupling of different risk factors were calculated. The studies showed that the coupling ways of social stability risk factors of major projects influence the social stability risk. Multi-factor risk coupling will increase the probability of social stability risk of major projects. The study of this paper provides a theoretical basis for the social stability risk management decision-making of major projects and promotes the sustainable development of major projects. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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21 pages, 2840 KiB

Open AccessArticle

Organization Synchronization in Response to Complex Project Delays: Network-Based Analysis

by Lin Yang, Xinran Hu and Xianbo Zhao

Buildings 2022, 12(5), 662; https://doi.org/10.3390/buildings12050662 - 16 May 2022

Cited by 4 | Viewed by 2405

Abstract

In response to frequent complex project delays, organization synchronization, a set of interactions, is a dynamic behavior that helps to restore the stability of complex projects after delays. However, few studies have figured out how organizations synchronize effectively in order to deal with [...] Read more.

In response to frequent complex project delays, organization synchronization, a set of interactions, is a dynamic behavior that helps to restore the stability of complex projects after delays. However, few studies have figured out how organizations synchronize effectively in order to deal with delay issues. To solve this problem, this study first provides a preliminary list of CDFs and indices of organization interactions are also given. A total of 15 key CDFs and 10 interaction ways were refined according to a questionnaire survey. In addition, the complex network synchronization (CNS) theory was adopted to analyze the synchronizability and importance of nodes by comprehensively using multiple parameters. A complex metro project with 51 project organizations was used as a case study and we found that specific signal organizations synchronized through three effective interaction ways (meetings, discussion and study, and the Internet) to cope with six CDFs (safety accidents, prominent problems of land expropriation, unreasonable timelines by clients, improper construction designs, delayed payments, and high financial risks). This study contributes to defining organization synchronization, providing a feasible research framework for assessing network synchronizability and identifying signal organizations in complex projects, and guiding practitioners to effectively cope with delays by interactions between signal organizations. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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17 pages, 1670 KiB

Open AccessArticle

Safety Risk Assessment Using a BP Neural Network of High Cutting Slope Construction in High-Speed Railway

by Jianling Huang, Xiaoye Zeng, Jing Fu, Yang Han and Huihua Chen

Buildings 2022, 12(5), 598; https://doi.org/10.3390/buildings12050598 - 5 May 2022

Cited by 13 | Viewed by 2777

Abstract

High-speed railway construction is extending to mountainous areas, and the harsh environment and complex climate pose various risks to the slope construction. This seriously threatens human lives and causes huge economic losses. The existing research results on the construction safety risks of high [...] Read more.

High-speed railway construction is extending to mountainous areas, and the harsh environment and complex climate pose various risks to the slope construction. This seriously threatens human lives and causes huge economic losses. The existing research results on the construction safety risks of high cutting slope construction in HSRs are limited, and a complete set of safety risk assessment processes and methods has not yet been formed. Therefore, in this study, we aimed to develop a safety risk assessment model, including factor identification and classification and assessment data processing, to help project managers evaluate safety risks in high cutting slope construction. In this study, comprehensive identification of high cutting slope construction safety risks was carried out from three dimensions, risk technical specification, literature analysis, and case statistical analysis, and a list of risk-influencing factors was formed. Based on the historical data, a high side slope risk evaluation model was established using a BP neural network algorithm. The model was applied to the risk evaluation of HF high cutting slopes. The results show that the risk evaluation level is II; the main risks are earthwork excavation method, scaffolding equipment, slope height, slope rate, groundwater, personnel safety awareness, and construction safety risk management system. Finally, a case study was used to verify the proposed model, and control measures for safety risks were proposed. Our findings will help conduct effective safety management, add to the knowledge of construction safety risk management in terms of implementation, and offer lessons and references for future construction safety management of HSR. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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20 pages, 457 KiB

Open AccessArticle

Impacts of COVID-19 on the Use of Digital Technology in Construction Projects in the UAE

by Omar Elrefaey, Salma Ahmed, Irtishad Ahmad and Sameh El-Sayegh

Buildings 2022, 12(4), 489; https://doi.org/10.3390/buildings12040489 - 14 Apr 2022

Cited by 22 | Viewed by 5587

Abstract

The construction industry has been incorporating digital technology over the last two decades, albeit gradually, as “technology-push” continues to overcome customary and traditional passivity typical in the sector. The objective of the study presented in this paper is to investigate how digital technology [...] Read more.

The construction industry has been incorporating digital technology over the last two decades, albeit gradually, as “technology-push” continues to overcome customary and traditional passivity typical in the sector. The objective of the study presented in this paper is to investigate how digital technology is making a headway in the construction industry as a consequence of COVID-19. For the purpose of this paper, digital technology applications are divided into three groups: data acquisition, processing, and communication. The methodology involved conducting a questionnaire survey among the construction professionals in the UAE. The survey included questions on the extent of use and level of investment on the three types of technology in three periods—pre-COVID, during COVID, and post-COVID. The results clearly show the increasing level of usage of digital technology in the construction industry from pre-COVID to during COVID and post-COVID periods. Among the three categories, communication technology indicated higher extent of use as compared to the other two. In addition, a marked difference was observed between the “small” project organizations and the “large” ones. Unsurprisingly, both usage and investment in digital technology, in smaller organizations, indicated higher extent of increase in during and post-pandemic periods when compared to the larger organizations. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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Review

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19 pages, 4619 KiB

Open AccessReview

Behavioral Research in Construction Engineering Management: A Review from a Neuropsychological Perspective

by Yuan Li, Jiaqi Liang, Jingxiong Huang, Mengsheng Yang and Runyan Li

Buildings 2022, 12(10), 1591; https://doi.org/10.3390/buildings12101591 - 2 Oct 2022

Cited by 5 | Viewed by 3148

Abstract

In construction engineering, there are many interactive and decision-making behaviors which could affect the progress and final performance. Based on the people-oriented concept, managing construction engineering should not ignore the understanding of individual behavior, and neuropsychology provides a refined microscopic perspective. This paper [...] Read more.

In construction engineering, there are many interactive and decision-making behaviors which could affect the progress and final performance. Based on the people-oriented concept, managing construction engineering should not ignore the understanding of individual behavior, and neuropsychology provides a refined microscopic perspective. This paper employed a bibliometric analysis of 1254 studies from the Web of Science related to behavioral research in construction engineering management using VOSviewer and summarized the neuropsychological mechanisms and research methods of behavior by systematic review. This paper found that: (1) Neuropsychological mechanisms of behavior include basic mechanisms about the brain and function and range from sensory to decision processes. Core factors are the functional ingredients. (2) Behavior research in construction engineering management is turning to neuropsychological experiments. Understanding the complex correlation mechanisms are the research trends in recent years. (3) Construction engineering management studies provide the means and methods to improve the validity and efficiency of management in the construction industry. The results confirm the impact of sensory perception on behavior and managerial performance. (4) The research trend in this field in the future is multidisciplinary. In total, this paper provides a potential effective reference for improving the performance of construction engineering management, developing sustainable construction production and consumption, and building a people-oriented livable city. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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22 pages, 4480 KiB

Open AccessReview

Application of Artificial Neural Networks in Construction Management: A Scientometric Review

by Hongyu Xu, Ruidong Chang, Min Pan, Huan Li, Shicheng Liu, Ronald J. Webber, Jian Zuo and Na Dong

Buildings 2022, 12(7), 952; https://doi.org/10.3390/buildings12070952 - 4 Jul 2022

Cited by 20 | Viewed by 4589

Abstract

As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been increasingly applied in the field of construction management (CM) during the last few decades. However, few papers have attempted to draw up a systematic commentary to appraise the state-of-the-art research [...] Read more.

As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been increasingly applied in the field of construction management (CM) during the last few decades. However, few papers have attempted to draw up a systematic commentary to appraise the state-of-the-art research on ANNs in CM except the one published in 2000. In the present study, a scientometric analysis was conducted to comprehensively analyze 112 related articles retrieved from seven selected authoritative journals published between 2000 and 2020. The analysis identified co-authorship networks, collaboration networks of countries/regions, co-occurrence networks of keywords, and timeline visualization of keywords, together with the strongest citation burst, the active research authors, countries/regions, and main research interests, as well as their evolution trends and collaborative relationships in the past 20 years. This paper finds that there is still a lack of systematic research and sufficient attention to the application of ANNs in CM. Furthermore, ANN applications still face many challenges such as data collection, cleaning and storage, the collaboration of different stakeholders, researchers and countries/regions, as well as the systematic design for the needed platforms. The findings are valuable to both the researchers and industry practitioners who are committed to ANNs in CM. Full article

(This article belongs to the Special Issue Tradition and Innovation in Construction Project Management)

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