Digital Twins and Artificial Intelligence for Advancing Smart Green Building and City Resilience

Topic Information

Dear Colleagues,

The pace of climate change is accelerating beyond previous scientific predictions, and its impacts on communities are vast and often unimaginable. This urgency underscores the critical need to transform our buildings and cities into smart, green, and resilient environments. Fortunately, the rapid evolution of emerging digital technologies offers unprecedented opportunities to mitigate climate change impacts and enhance the resilience of urban infrastructure. Among these technologies, Digital Twins and Artificial Intelligence (AI) stand out as powerful tools to make cities smarter, greener, and more adaptable to the challenges posed by climate change.

Despite their potential, research on the applications of Digital Twins and AI in addressing climate change remains limited. Much of the existing work focuses on technologies that are inadequate in addressing the speed and scale of climate change impacts. This research aims to explore how Digital Twins and AI can be effectively integrated throughout the lifecycle of urban infrastructure—including construction, operation, maintenance, and renewal—to create environments that are not only technologically advanced but also environmentally sustainable and resilient to climate-related challenges.

The primary goal of this research is to foster interdisciplinary dialogue that generates actionable insights for designing and implementing resilient, sustainable, and technologically innovative cities of the future. Contributions are welcome in the form of original research articles, review articles, case studies, and conceptual pieces investigating the applications of Digital Twins and AI across various aspects of urban infrastructure. The ultimate aim is to advance knowledge and practice in making cities greener, smarter, and more resilient to the impacts of climate change.

Dr. Henry Abanda
Dr. Michel Mbessa
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Buildings buildings	3.1	3.4	2011	15.3 Days	CHF 2600	Submit
Smart Cities smartcities	7.0	11.2	2018	28.4 Days	CHF 2000	Submit
Sustainability sustainability	3.3	6.8	2009	19.7 Days	CHF 2400	Submit
CivilEng civileng	-	2.8	2020	24.4 Days	CHF 1200	Submit
Infrastructures infrastructures	2.7	5.2	2016	17.8 Days	CHF 1800	Submit
Technologies technologies	4.2	6.7	2013	21.1 Days	CHF 1600	Submit

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Published Papers (1 paper)

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All Buildings Smart Cities Sustainability CivilEng Infrastructures Technologies

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25 pages, 4009 KiB  

Open AccessArticle

Implementing Building Information Modeling to Enhance Smart Airport Facility Management: An AHP-SWOT Approach

by Amirhossein Javaherikhah and Hadi Sarvari

CivilEng 2025, 6(1), 15; https://doi.org/10.3390/civileng6010015 - 18 Mar 2025

Cited by 1 | Viewed by 572

Abstract

Airport facility management requires innovative and coordinated techniques due to the infrastructure’s complexity, stakeholders’ diversity, and the necessity of safety. Adopting building information management (BIM) as an advanced technology has several benefits, including increased productivity, lower cost, and higher quality of service. This [...] Read more.

Airport facility management requires innovative and coordinated techniques due to the infrastructure’s complexity, stakeholders’ diversity, and the necessity of safety. Adopting building information management (BIM) as an advanced technology has several benefits, including increased productivity, lower cost, and higher quality of service. This study seeks to determine the strategies for using BIM in airport facility management. In this vein, two questionnaires were developed to collect data based on a literature review. The first questionnaire was used to collect data for identifying and ranking the main criteria, and the second questionnaire was used to identify the practical strategies. The experts of this study answered five strengths, four weaknesses, five opportunities, and five threats using a standardized questionnaire. An integrated AHP-SWOT approach was used to identify and examine the practical strategies. Furthermore, a sensitivity analysis was used to ensure the results were correct. The findings showed that smart maintenance management, with a weight of 0.363, was the most important strength in the SWOT analysis. Resistance to change was the most important weakness, with a weight of 0.455. The increasing need for smart airports with a weight of 0.358 was the most important opportunity, while cybersecurity issues with a weight of 0.385 were the most important threat. Integrating BIM into the aviation sector can enhance efficiency and sustainability in airport facility management while addressing potential opportunities and shared hazards that extend beyond airport operations. Full article

(This article belongs to the Topic Digital Twins and Artificial Intelligence for Advancing Smart Green Building and City Resilience)

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