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A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 10 January 2022.
Special Issue Editors
Interests: digital engineering; building information modeling (BIM); Internet of Things (IoT); Industry 4.0
Special Issues and Collections in MDPI journals
Interests: project management and project success; project finance and public–private partnerships (PPPs); construction procurement and relational contracting; construction industry development; construction health and safety
Special Issues and Collections in MDPI journals
Interests: artificial intelligence in construction; building information modeling (BIM); green and sustainable construction; modular and offsite construction; sustainable built environment; sustainability
Special Issues and Collections in MDPI journals
Special Issue Information
Dear colleagues,
The construction industry is increasingly being affected by various dimensions of the Fourth Industrial Revolution, commonly known as Industry 4.0. In the construction context, these effects are synonymous with the creation of cyberphysical systems through the integration of several major advanced methodologies, including digital engineering (DE), the Internet of Things (IoT), and artificial intelligence (AI). At the present time, many construction companies have transformed or are transforming themselves in order to adopt and implement these methodologies, responding to changes in customers' demands and the need to deliver high-quality services and products. However, the roles that these technological innovations play in disrupting the status quo in the construction context have hitherto received scant academic attention. Studies on the integration of DE, IoT, and AI are scarce. This proposed and pioneering Special Issue is the first to provide a platform for construction researchers who seek to showcase the emergent findings from their research not only on the roles of DE, IoT, and AI, but also on their integration, in relation to disruption in the construction industry’s ways of working. The Special Issue particularly invites papers that provide accounts of real-life DE, IoT, and AI case studies. Other themes sought for the Special Issue include exploring the emerging methodologies of DE, IoT, and AI integration, and determining how DE, IoT, and AI can benefit the construction industry.
Dr. M. Reza Hosseini
Prof. Albert P. C. Chan
Dr. Amos Darko
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 papers will be 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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2000 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
- built environment
- construction industry
- Industry 4.0
- digitalization
- building information modeling
- innovation diffusion
- digital engineering
- IoT
- Artificial Intelligence