Digital Innovation for Realizing the Goals of Construction 5.0

Topic Information

Dear Colleagues,

With the emergence of the digital economic era, the digitization of the construction industry has been extensive. Legacy characteristics of the construction industry, such as stakeholder complexity, fragmentation, low profit margins, low productivity, etc., render it ripe for digitization. In the new digital era, the construction industry is required to develop better buildings and offer better services in a shorter time and with tighter budgets. The rapid development of society requires that the construction industry move to a human-centric paradigm building on super-connectivity and aiming at sustainability and resilience, comprising the goals of the new Construction 5.0 framework. These goals propose new challenges to construction innovation and enable the improvement of its newly defined efficacy to be imperative. Under such circumstances, digital technologies promise a new path for improving construction innovation. Digital innovation implies the creation of (and a consequent change in) new market offerings, business processes, or production models resulting from the use of digital technology. Digital innovation makes an essential contribution to construction innovation within the landscape of Construction 5.0. 

The goal of this Topic is to publish research- and practice-oriented papers, as well as genuine review-oriented contributions to the body of new knowledge on subjects closely related to the goals of Construction 5.0. Topics may include, but are not limited to, the following:

• Fundamental research on digital innovation in construction in the context of Construction 5.0;
• Organizational aspects, actors, management strategies, etc., for digital innovation in construction aimed at achieving the goals of Construction 5.0;
• Future digital capabilities for individuals, organizations, and projects in construction;
• Roadmaps and frameworks for Construction 5.0-oriented digitalization of construction enterprises, projects, and industry;
• Defining and measuring the contribution of digital innovation to low carbon/smart/sustainable/resilient building;
• Relationship between advancements in construction and the development of the smart cities;
• Bio-inspired construction technologies;
• Construction waste recycling;
• The role of IT and digitization in reducing injuries and fatalities on construction sites;
• Core digital technologies for achieving the digital ecosystem in sustainable construction.

We sincerely welcome your contributions to this Topic.

Prof. Dr. Miroslaw J. Skibniewski
Dr. Hui Liu
Dr. Yu Lei
Prof. Dr. Chunlu Liu
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Automation automation	-	2.9	2020	20.6 Days	CHF 1000
Buildings buildings	3.1	3.4	2011	17.2 Days	CHF 2600
Digital digital	-	3.1	2021	23.6 Days	CHF 1000
Energies energies	3.0	6.2	2008	17.5 Days	CHF 2600
Sensors sensors	3.4	7.3	2001	16.8 Days	CHF 2600
Smart Cities smartcities	7.0	11.2	2018	25.8 Days	CHF 2000
Sustainability sustainability	3.3	6.8	2009	20 Days	CHF 2400

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Published Papers (5 papers)

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All Automation Buildings Digital Energies Sensors Smart Cities Sustainability

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20 pages, 3647 KiB  

Open AccessArticle

Comparative Analysis of AR-HUDs Crash Warning Icon Designs: An Eye-Tracking Study Using 360° Panoramic Driving Simulation

by Zhendong Wu, Ying Liang, Guocui Liu and Xiaoqun Ai

Sustainability 2024, 16(21), 9167; https://doi.org/10.3390/su16219167 - 22 Oct 2024

Viewed by 620

Abstract

Augmented Reality Head-Up Displays (AR-HUDs) enhance driver perception and safety, yet optimal hazard warning design remains unclear. This study examines three AR-HUD crash warning icon types (BD, BR, BW) across various turning scenarios. Using a 360-degree video-based driving simulation with 36 participants, eye-tracking [...] Read more.

Augmented Reality Head-Up Displays (AR-HUDs) enhance driver perception and safety, yet optimal hazard warning design remains unclear. This study examines three AR-HUD crash warning icon types (BD, BR, BW) across various turning scenarios. Using a 360-degree video-based driving simulation with 36 participants, eye-tracking metrics were collected. Results show BW icons, dynamically linked to hazards, significantly improve drivers’ pedestrian risk awareness and visual attention allocation compared to BD and BR systems. BW consistently demonstrated longer gaze duration, higher fixation counts, and shorter time to first fixation across all turns. BD and BR icons were more susceptible to lane changes, potentially diverting attention from hazards. Findings suggest prioritizing dynamic tracking warning icons over fixed-position alternatives to minimize visual competition and distraction, providing crucial insights for AR-HUD optimization in automated vehicles. Full article

(This article belongs to the Topic Digital Innovation for Realizing the Goals of Construction 5.0)

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18 pages, 4074 KiB  

Open AccessArticle

Collaborative Innovation in Construction Supply Chain under Digital Construction: Evolutionary Game Analysis Based on Prospect Theory

by Chenyongjun Ding, Hui Liu, Yonghong Chen and Wenyi Qiu

Buildings 2024, 14(7), 2019; https://doi.org/10.3390/buildings14072019 - 2 Jul 2024

Viewed by 1245

Abstract

In the context of Digital Construction (DC), collaborative innovation in the construction supply chain (CSC) is crucial for long-term competitiveness. However, transparent information flows and fickle market circumstances hinder enterprises from actively participating in collaborative innovation, making it challenging to establish effective incentive [...] Read more.

In the context of Digital Construction (DC), collaborative innovation in the construction supply chain (CSC) is crucial for long-term competitiveness. However, transparent information flows and fickle market circumstances hinder enterprises from actively participating in collaborative innovation, making it challenging to establish effective incentive mechanisms. To achieve sustained and stable collaborative innovation, an evolutionary game model of collaborative innovation between core enterprises and member enterprises in the CSC under DC based on Prospect Theory is constructed. Five equilibrium scenarios and evolutionary stability strategies are analyzed, and the corresponding stability conditions are obtained. Finally, the impact of different parameters on strategy selection are analyzed by numerical simulation. The results indicate that the balance between knowledge sharing and knowledge leakage is the premise of the positive impact of DC technology on collaborative innovation. Moreover, the adjustment of gain sensitivity and loss sensitivity is the key to enhancing managerial enthusiasm for collaborative innovation. Furthermore, the design of income distribution and innovation incentives must adhere to the reciprocity principle, while subsidies from owners demonstrate a prominent positive impact on collaborative innovation. This paper systematically expounds the dynamic influence of DC technology application, knowledge spillover effects, and managerial cognitive structures while confirming the intrinsic effect of innovation incentive mechanisms. It provides substantial theoretical reference and management enlightenment for promoting the development of collaborative innovation in the CSC under DC. Full article

(This article belongs to the Topic Digital Innovation for Realizing the Goals of Construction 5.0)

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27 pages, 733 KiB  

Open AccessArticle

Assessing the Accuracy of ChatGPT Use for Risk Management in Construction Projects

by Hande Aladağ

Sustainability 2023, 15(22), 16071; https://doi.org/10.3390/su152216071 - 17 Nov 2023

Cited by 6 | Viewed by 6611

Abstract

Artificial Intelligence (AI) is considered promising digital technology that has important opportunities for enhancing project oversight and delivering improved decision-making in the risk management domain. However, there is a limited amount of research that has evaluated AI tools’ performance in risk management. Therefore, [...] Read more.

Artificial Intelligence (AI) is considered promising digital technology that has important opportunities for enhancing project oversight and delivering improved decision-making in the risk management domain. However, there is a limited amount of research that has evaluated AI tools’ performance in risk management. Therefore, with the intention of sustaining more accurate risk-based decision-making process in the construction industry, this paper investigates the accuracy of ChatGPT in risk management for different project types. In this context, Key Performance Indicators (KPIs) related to each risk management sub-process were determined, and then a questionnaire that consisted of prompt templates was prepared for collecting data from ChatGPT. Afterwards, ChatGPT’s responses were evaluated by experts with focus group sessions. The findings indicate that ChatGPT has a moderate level of performance in managing risks. It provides more accurate knowledge in risk response and risk monitoring rather than risk identification and risk analysis sub-processes. This research paves the way for future studies by demonstrating an implication of ChatGPT use for risk-based decision making. In addition, gaining insight into the precision of ChatGPT in the risk-based decision-making process will empower decision-makers to establish resilience in business operations through technology-driven risk management. Full article

(This article belongs to the Topic Digital Innovation for Realizing the Goals of Construction 5.0)

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17 pages, 1994 KiB  

Open AccessArticle

Digital Transformation in the Chinese Construction Industry: Status, Barriers, and Impact

by Na Zhang, Jinglei Ye, Yi Zhong and Zhiqian Chen

Buildings 2023, 13(4), 1092; https://doi.org/10.3390/buildings13041092 - 20 Apr 2023

Cited by 9 | Viewed by 6874

Abstract

Digital transformation is the direction that the Chinese construction industry is moving toward. This paper aims to investigate its current status, major barriers, and potential impact. To achieve this goal, a questionnaire survey was carried out. The results show that 80% of enterprises [...] Read more.

Digital transformation is the direction that the Chinese construction industry is moving toward. This paper aims to investigate its current status, major barriers, and potential impact. To achieve this goal, a questionnaire survey was carried out. The results show that 80% of enterprises where the industry experts work have already formulated digital transformation plans or made plans. Additionally, BIM software was the most commonly used digital technology. Furthermore, “Data Fragmentation”, “Lack of Core Technology”, “Weak Digital Infrastructure Allocation”, “Lack of Technical Personnel”, and “Lack of Technical Standards” were prominent barriers. Moreover, digital transformation was perceived to affect the procurement management mostly at a project level, and to affect the governance performance mostly at an enterprise level. These findings can provide scholars and practitioners with an in-depth understanding of digital transformation in the Chinese construction industry. They might also help policymakers formulate appropriate policies to promote digital transformation. Full article

(This article belongs to the Topic Digital Innovation for Realizing the Goals of Construction 5.0)

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16 pages, 2850 KiB  

Open AccessArticle

Investigating the Use of ChatGPT for the Scheduling of Construction Projects

by Samuel A. Prieto, Eyob T. Mengiste and Borja García de Soto

Buildings 2023, 13(4), 857; https://doi.org/10.3390/buildings13040857 - 24 Mar 2023

Cited by 69 | Viewed by 12502

Abstract

Generative Pre-Trained Transformer (GPT) language models such as ChatGPT have the potential to revolutionize the construction industry by automating repetitive and time-consuming tasks. This paper presents a study in which ChatGPT was used to generate a construction schedule for a simple construction project. [...] Read more.

Generative Pre-Trained Transformer (GPT) language models such as ChatGPT have the potential to revolutionize the construction industry by automating repetitive and time-consuming tasks. This paper presents a study in which ChatGPT was used to generate a construction schedule for a simple construction project. The output from ChatGPT was evaluated by a pool of participants that provided feedback regarding their overall interaction experience and the quality of the output. The results show that ChatGPT can generate a coherent schedule that follows a logical approach to fulfill the requirements of the scope indicated. The participants had an overall positive interaction experience and indicated the potential of such a tool in automating many preliminary and time-consuming tasks. However, the technology still has limitations, and further development is needed before it can be widely adopted in the industry. Overall, this study highlights the advantages of using large language models and Natural Language Processing (NLP) techniques in the construction industry and the need for further research. Full article

(This article belongs to the Topic Digital Innovation for Realizing the Goals of Construction 5.0)

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