Special Issue “Advanced Technologies for the Construction Industry in the Digital Era”

Special Issue “Advanced Technologies for the Construction Industry in the Digital Era”

Special Issue Information

Dear Colleagues,

The construction industry is complicated and faces new challenges every day due to the involvement of complex processes and associated resource management. Advanced technologies such as artificial intelligence (AI), machine learning (ML), computer vision, and geospatial and scanning technologies have shifted the way civil engineers and urban planners operate in the digital era. Technologies such as geospatial, remote sensing, and ML techniques have provided new ways for collecting and analyzing data that were not easily possible earlier. In addition to introducing much-needed disruption, such technologies provide missing innovation and uplift the otherwise traditional construction industry. Thus, these technologies have broadened the horizons for seeking solutions to many persistent construction problems to enable more successful projects that can be objectively measured. For example, the data analytics feature of disruptive technologies such as virtual reality (VR), augmented reality (AR), ML, and AI have improved project marketing, reduced costs, and enabled much smoother schedules. Similarly, advanced technologies have enabled assessing and responding to disasters and emergent challenges in the construction industry.

This Special Issue focuses on collecting high-quality articles on advanced technologies in the construction and urban domains. The target contributors include civil engineers, urban planners, construction and project managers, city management teams, architects, government officials, and others, in addition to academics and scientists. The Guest Editors cordially welcome high-quality papers focusing on, but not limited to, the following topics:

  • Building and construction innovation;
  • VR and AR for the construction industry in the digital era;
  • Building information modeling;
  • AI, ML, and natural language processing for the construction industry in the digital era;
  • Advanced techniques in innovative construction and building materials;
  • Technologies for smart city and integrated urban development;
  • Construction demolition and waste management technologies;
  • Remote sensing and GIS;
  • Renewable energy and sustainable construction;
  • Automated construction progress monitoring;
  • Other technologies for the construction industry in the digital era.

Dr. Ahsen Maqsoom
Dr. Fahim Ullah
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 1800 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

  • construction innovation
  • advance technology
  • artificial intelligence
  • machine learning
  • virtual reality
  • geographic information system
  • sustainable construction