Smart City Gnosys

Smart city article details

Title	Assessing And Forecasting Collective Urban Heat Exposure With Smart City Digital Twins
ID_Doc	10631
Authors	Pan X.; Mavrokapnidis D.; Ly H.T.; Mohammadi N.; Taylor J.E.
Year	2024
Published	Scientific Reports, 14, 1
DOI	http://dx.doi.org/10.1038/s41598-024-59228-8
Abstract	Due to population growth, climate change, and the urban heat island effect, heat exposure is becoming an important issue faced by urban built environments. Heat exposure assessment is a prerequisite for mitigation measures to reduce the impact of heat exposure. However, there is limited research on urban heat exposure assessment approaches that provides fine-scale spatiotemporal heat exposure information, integrated with meteorological status and human collective exposure as they move about in cities, to enable proactive heat exposure mitigation measures. Smart city digital twins (SCDTs) provide a new potential avenue for addressing this gap, enabling fine spatiotemporal scales, human-infrastructure interaction modeling, and predictive and decision support capabilities. This study aims to develop and test an SCDT for collective urban heat exposure assessment and forecasting. Meteorological sensors and computer vision techniques were implemented in Columbus, Georgia, to acquire temperature, humidity, and passersby count data. These data were then integrated into a collective temperature humidity index. A time-series prediction model and a crowd simulation were employed to predict future short-term heat exposures based on the data accumulated by this SCDT and to support heat exposure mitigation efforts. The results demonstrate the potential of SCDT to enhance public safety by providing city officials with a tool for discovering, predicting, and, ultimately, mitigating community exposure to extreme heat. © The Author(s) 2024.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
14968	0.881	Lim T.C.; Wilson B.; Grohs J.R.; Pingel T.J.	Community-Engaged Heat Resilience Planning: Lessons From A Youth Smart City Stem Program	Landscape and Urban Planning, 226 (2022)
60013	0.876	Ulpiani G.; Yenneti K.; Pigliautile I.; Pisello A.L.; Martilli A.; Bartesaghi Koc C.; Fabiani C.; Treville A.; Vetters N.; Bertoldi P.	Urban Heat Mitigation And Adaptation: The State Of The Art	Mitigation and Adaptation of Urban Overheating: the Impact of Warmer Cities on Climate, Energy, Health, Environmental Quality, Economy, and Quality of Life (2024)
36226	0.868	Riaz K.; McAfee M.; Gharbia S.S.	Management Of Climate Resilience: Exploring The Potential Of Digital Twin Technology, 3D City Modelling, And Early Warning Systems	Sensors, 23, 5 (2023)
60012	0.867	Kisters P.; Ngu V.; Edinger J.	Urban Heat Island Detection Utilizing Citizen Science	Communications in Computer and Information Science, 1617 CCIS (2022)
9850	0.862	Omrany H.; Al-Obaidi K.M.	Application Of Digital Twin Technology For Urban Heat Island Mitigation: Review And Conceptual Framework	Smart and Sustainable Built Environment (2024)
24057	0.861	Stergiopoulos G.; Leventopoulos S.A.; Karamousadakis M.; Schuster B.; Gritzalis D.	Enhancing Urban Heatwave Response Planning Via A Graph-Based Digital Twin Approach: Spatial Dependency Risk Analysis In Vienna City	IEEE Access, 13 (2025)
24579	0.855	Kumar P.; Barat A.; Sarthi P.P.; Shankar A.	Evaluating Future Urban Temperature Over Smart Cities Of The Gangetic Plains Using Statistically Downscaled Cmip6 Projections	Theoretical and Applied Climatology, 155, 6 (2024)
425	0.854	Ahsissene S.; Rhziel F.Z.; Raissouni N.	A Bibliometric Analysis Of Outdoor Thermal Comfort Research In Smart Cities: Trends And Methodologies	Solar Energy and Sustainable Development, 2024, Special Issue (2024)
15100	0.85	Lucas Bonilla M.; Albalá Pedrera I.T.; Bustos García de Castro P.; Martín-Garín A.; Montalbán Pozas B.	Comparing Monitoring Networks To Assess Urban Heat Islands In Smart Cities	Applied Sciences (Switzerland), 15, 11 (2025)