Document Type
Article
Publication Date
2022
DOI
10.3390/su142012988
Publication Title
Sustainability
Volume
14
Issue
20
Pages
12988 (22 pp.)
Abstract
Creating a more sustainable world will require a coordinated effort to address the rise of social, economic, and environmental concerns resulting from the continuous growth of cities. Supporting planners with tools to address them is pivotal, and sustainability is one of the main objectives. Modeling and simulation augmenting digital twins can play an important role to implement these tools. Although various green best practices have been utilized over time and there are related attempts at measuring green success, works in the published literature tend to focus on addressing a single problem (e.g., energy efficiency), and a comprehensive approach that takes the multiple facets of sustainable urban planning into consideration has not yet been identified. This paper begins with a review of recent research efforts in green metrics and digital twins. This leads to developing an approach that evaluates organizational green best practices to derive metrics, which are used for computational decision support by digital twins. Furthermore, it leverages these research results and proposes a metric-driven framework for sustainability planning that understands a city as a sociotechnical complex system. Such a framework allows the practitioner to take advantage of recent developments and provides computational decision support for the complex challenge of sustainability planning at the various levels of urban planning and governance.
Rights
Copyright: © 2022 by the The MITRE Corporation. All Rights reserved. Licensee MDPI, Basel, Switzerland. Submitted to Sustainability for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/)
Data Availability
Article states not applicable.
Original Publication Citation
Corrado, C. R., DeLong, S. M., Holt, E. G., Hua, E. Y., & Tolk, A. (2022). Combining green metrics and digital twins for sustainability planning and governance of smart buildings and cities. Sustainability, 14(20), Article 12988. https://doi.org/10.3390/su142012988
ORCID
0000-0002-4201-8757
Repository Citation
Corrado, Casey R.; DeLong, Suzanne M.; Holt, Emily G.; Hua, Edward Y.; and Tolk, Andreas, "Combining Green Metrics and Digital Twins for Sustainability Planning and Governance of Smart Buildings and Cities" (2022). VMASC Publications. 90.
https://digitalcommons.odu.edu/vmasc_pubs/90
Included in
Computational Engineering Commons, Sustainability Commons, Systems Engineering Commons, Systems Science Commons, Urban Studies and Planning Commons