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Buildings
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Sustainable, Resilient, and Intelligent Buildings
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Sustainable, Resilient, and Intelligent Buildings

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 (31 July 2023) | Viewed by 2960

Special Issue Editor

Dr. Rayan H. Assaad

E-Mail Website
Guest Editor
Department of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ, USA
Interests: intelligent infrastructure systems; applied machine learning; next-generation technologies; optimization, modeling, and simulation; robotics; construction engineering; decision-making; project management; sustainable and resilient communities; infrastructure asset management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the recent advancements in the architectural, engineering, and construction industry, there are endless opportunities to make buildings and developments more sustainable, resilient, and intelligent. This Special Issue focuses on methods, principles, strategies, and technologies used to plan, design, construct, manage, and operate buildings to ensure they are resilient, smart, environmentally responsible, and resource-efficient throughout their entire life cycle from site selection to demolition or re-use. This Special Issue is not limited to particular building-related sustainability and resilience areas or applications, but rather, it aims to provide a holistic approach toward means needed for ensuring that developments and community spaces are resilient while also supporting the regeneration of resources and natural systems as well as providing socioeconomic benefits through a thriving circular economy. In this Special Issue, original research articles and reviews are welcome.

I look forward to receiving your contributions.

Dr. Rayan H. Assaad
Guest Editor

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

  • sustainable design and construction
  • resilient buildings
  • building technologies
  • green buildings
  • intelligent developments
  • high-performance buildings
  • smart urban systems
  • circular economy
  • life-cycle assessment
  • leadership in energy and environmental design (LEED)

Published Papers (2 papers)

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Research

22 pages, 6203 KiB  
Article
An IoT-Enabled Sensing Device to Quantify the Reliability of Shared Economy Systems Using Intelligent Sensor Fusion Building Technologies
by Rayan H. Assaad, Mohsen Mohammadi and Aichih (Jasmine) Chang
Buildings 2023, 13(9), 2182; https://doi.org/10.3390/buildings13092182 - 28 Aug 2023
Cited by 1 | Viewed by 1184
Abstract
The concept of smart sustainable cities—as a favorable response to different challenges faced in urban areas—is rapidly gaining momentum and worldwide attention. This trend has driven the exploration of various technologies to improve the utilization of limited resources and idling capacities (i.e., underutilized [...] Read more.
The concept of smart sustainable cities—as a favorable response to different challenges faced in urban areas—is rapidly gaining momentum and worldwide attention. This trend has driven the exploration of various technologies to improve the utilization of limited resources and idling capacities (i.e., underutilized physical assets such as buildings or facilities). In fact, a new business model has been introduced recently to smart cities, known as “shared economy”. The shared economy is a socioeconomic system that enables intermediary exchanges of goods and services between people and/or organizations, which boosts productivity and leverages underutilized resources to maximum potential. However, one of the inherent issues hindering the wide adoption of shared economy systems is the lack of trust between the providers and users of such systems. To this end, this study focuses on long-term shared properties/buildings and proposes an intelligent, IoT-enabled device and dynamic pricing model to address the issue of information asymmetry. First, 10 indicators were identified to assess the condition of the shared property. Next, multiple sensors were used, calibrated, and integrated into an IoT-enabled sensing device where the collected data was combined using intelligent sensor fusion technologies in a real-time manner. Third, a survey was developed and distributed to examine the significance of the 10 indicators, and an innovative reliability index was created accordingly to reflect the overall condition of the shared property. Fourth, a dynamic pricing model was developed to reward condition-conscious property users and penalize condition-unconscious ones. To ensure applicability and robustness of the proposed device and model, a pilot project was implemented in a smart long-term rental property in Newark, NJ, United States. Ultimately, this research provided insights on how to improve the operational efficiency of shared economy systems by offering (1) the providers of shared properties visibility over the condition of their properties through real-time assessment of the user reliability, and (2) the users of shared properties assured safety and monetary incentives to maintain the shared environment in a good condition. Full article
(This article belongs to the Special Issue Sustainable, Resilient, and Intelligent Buildings)
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17 pages, 6201 KiB  
Article
The Dynamics of Sustainable Material Selection for Green-Certified Projects
by Walaa S. E. Ismaeel
Buildings 2023, 13(8), 2077; https://doi.org/10.3390/buildings13082077 - 16 Aug 2023
Cited by 1 | Viewed by 1331
Abstract
Material selection is a challenging process in which several parameters should be considered for green-certified projects. Hence, this study investigates the dynamics of sustainable material selection (SMS) across the project life cycle using system thinking. A dynamic model was developed based on the [...] Read more.
Material selection is a challenging process in which several parameters should be considered for green-certified projects. Hence, this study investigates the dynamics of sustainable material selection (SMS) across the project life cycle using system thinking. A dynamic model was developed based on the Leadership in Energy and Environmental Design where relevant environmental categories and credits were represented, and their dependency coefficients (DCs) were computed. This pinpointed the effect of SMS on the point-accrual pattern across project phases, showing that the high leverage points were demonstrated for the operation phase. The result showed that SMS extended beyond the efficient use of materials, which indicated a DC of 100% in the Materials and Resources category to affect other sustainable categories, i.e., the indoor environmental quality, energy efficiency, and sustainability of the project site comprised 68.8%, 57.6%, and 50% of DCs, respectively. Thus, optimal SMS could earn the project 48% of the total possible points, putting it in the ‘Certified’ level. Accordingly, the proposed model can be used to evaluate the level of certification as well as the building performance therein. Full article
(This article belongs to the Special Issue Sustainable, Resilient, and Intelligent Buildings)
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