The Role of New Technologies in Smart City, Infrastructure and Real Estate

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 (10 January 2023) | Viewed by 4570

Special Issue Editors


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Guest Editor
The Bartlett, University College London, London WC1H 6BT, UK
Interests: application of artificial intelligence, reinforcement learning, machine learning and deep learning in the built environment, such as cities, buildings and infrastructure
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
The Bartlett School of Sustainable Construction, University College London, London, UK
Interests: digital twins; building information model; sustainable engineering; blockchain
The Bartlett School of Sustainable Construction, University College London, London WC1E 6BT, UK
Interests: digital twins; image processing; building information modelling; built asset management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Technology has enabled radical shifts in how businesses are managed, humans interact, and devices interconnect with each other. The digitalisation of reality has provided new commercial opportunities and made obsolete legacy approaches. Real estate and infrastructure have not been excluded from this revolution. Current examples are hybrid workplaces, user experience mobile apps, IoT sensors, and predictive maintenance among many others.

This Special Issue is providing a unique opportunity to perpetuate your contribution to smart buildings, cities, infrastructure or real estate. This special edition calls for:

  • Academics to practically apply theoretical models and algorithms to the smart infrastructure sector;
  • Industry to numerically expand case studies or detail products or solutions.

The acceptance criteria will be based on either:

  • The proposal of an innovative model or method that improves a present case with the associated evidentiary research work, e.g., IoT sensors for predictive maintenance.
  • The comparison between existing solutions against other approaches via quantitative analysis, e.g., return on investment of a technological solution.

Relevant topics include:

  • Smart electronic systems;
  • ICT data transmission networks;
  • IoT, cloud and data infrastructure;
  • Artificial Intelligence, machine learning;
  • Asset/property/facilities management technology;
  • Environmental, social, and governance sustainability;
  • Audio visual systems;
  • Energy management;
  • Business intelligence and dashboards;
  • BIM, Digital Twin;
  • Blockchain and Web 3.0 applications;
  • Mobile app interfaces;
  • Cybersecurity;
  • Financial or cost assessments, return of investment;
  • Project management;
  • Lease, accounting, sales and brokerage transactions.

Dr. Will Serrano
Prof. Dr. Tim Broyd
Dr. Qiuchen Lu
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

  • technology
  • data
  • IoT
  • real estate
  • smart city
  • smart buildings
  • asset management
  • ESG

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Published Papers (1 paper)

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Research

22 pages, 2289 KiB  
Article
Smart or Intelligent Assets or Infrastructure: Technology with a Purpose
by Will Serrano
Buildings 2023, 13(1), 131; https://doi.org/10.3390/buildings13010131 - 4 Jan 2023
Cited by 4 | Viewed by 3722
Abstract
Smart or intelligent built assets including infrastructure, buildings, real estate, and cities provide enhanced functionality to their different users such as occupiers, passengers, consumers, patients, managers or operators. This enhanced functionality enabled by the Internet of Things (IoT), Artificial Intelligence (AI), Big Data, [...] Read more.
Smart or intelligent built assets including infrastructure, buildings, real estate, and cities provide enhanced functionality to their different users such as occupiers, passengers, consumers, patients, managers or operators. This enhanced functionality enabled by the Internet of Things (IoT), Artificial Intelligence (AI), Big Data, Mobile Apps, Virtual Reality (VR) and 5G does not only translate into a superior user experience; technology also supports sustainability and energy consumption to meet regulation (ESG, NZC) while optimising asset management and operations for enhanced business economic performance. The main peculiarity is that technology is standardised, ubiquitous and independent from the physical built assets whereas asset users including humans, machines and devices are also common to different assets. This article analyses the atomic differences between built assets and proposes an asset omni-management model based on micro-management of services that will support the macro-functionality of the asset. The proposed key concept is based on the standardisation of different assets based on common and specific functionality and services delivered by the technology stack that is supporting already the transition to Industry 5.0 based on Web 3.0 and Tokenisation. Full article
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