AI Analytics for Carbon-Neutral City Planning: A Systematic Review of Applications
Name
urbansci-08-00104.pdf
Size
1.1 MB
Format
Adobe PDF
Checksum (MD5)
940170b721b2c88b23d774f5f31e5c2a
Author(s)
Cong, Cong
Page, Jessica
Kwak, Yoonshin
Deal, Brian
Kalantari, Zahra
Date Issued
August 1, 2024
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Cong, C.; Page, J.; Kwak, Y.; Deal, B.; Kalantari, Z. AI Analytics for Carbon-Neutral City Planning: A Systematic Review of Applications. Urban Sci. 2024, 8, 104.
Version
Final published version
Abstract
Artificial intelligence (AI) has become a transformative force across various disciplines, including urban planning. It has unprecedented potential to address complex challenges. An essential task is to facilitate informed decision making regarding the integration of constantly evolving AI analytics into planning research and practice. This paper presents a review of how AI methods are applied in urban studies, focusing particularly on carbon neutrality planning. We highlight how AI is already being used to generate new scientific knowledge on the interactions between human activities and nature. We consider the conditions in which the advantages of AI-enabled urban studies can positively influence decision-making outcomes. We also consider the importance of interdisciplinary collaboration, responsible AI governance, and community engagement in guiding data-driven methods and suggest how AI can contribute to supporting carbon-neutrality goals.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/urbansci8030104
