Smart City Gnosys

Smart city article details

Title Leveraging Leading Edge Digital Models, Developed Under Urban Computing Principles, To Support Flood Risk Assessment In Cities
ID_Doc 35096
Authors Foster K.; Salehi P.; Aalto J.; Corbett D.; Visetti P.
Year 2024
Published Cities and Nature, 2024
DOI http://dx.doi.org/10.1007/978-3-031-50365-8_21
Abstract The prevalence of flooding, other natural disasters, and extreme weather events are anticipated to increase due to human-induced climate change. Flooding is a worldwide phenomenon with severe human, ecological, and economic impacts. Developing processes to assess and manage the risk of these hazards is a critical global challenge. Addressing this challenge effectively could mitigate significant negative human and economic impacts, and technology has a fundamental role in addressing this challenge. However, the potential of leading-edge technologies needs to be explored in the role that they could play in supporting rigorous urban flood risk assessment processes. Although much progress has been made in applying technology in cities (albeit to differing extents), several unanswered challenges and opportunities, such as technical readiness in the public sector and data availability in the Global South, have yet to be addressed or captured. This chapter explores various established and emerging urban computing and digitalization techniques and how they are currently being combined and applied on the ground in cities worldwide. Based on this review, challenges and opportunities are identified to suggest how cutting-edge digital technologies could be better integrated with flood risk assessment strategies in the future. © The Author(s).
Author Keywords Digital twins; Digitalization; Flood risk assessment; Metaverse; Smart city


Similar Articles


Id Similarity Authors Title Published
35135 View0.891Pandey A.; Goyal M.Leveraging Technology For Climate Resilience In Urban AreasRevolutionizing Urban Development and Governance With Emerging Technologies (2025)
49723 View0.883Santos R.; Ochoa J.M.; Ochoa S.F.; Chesñevar C.Smart Cities With Digital Twin Systems For Disaster ManagementDigital Twin and Blockchain for Sensor Networks in Smart Cities (2025)
26689 View0.88Peixoto J.P.J.; Costa D.G.; Portugal P.; Vasques F.Flood-Resilient Smart Cities: A Data-Driven Risk Assessment Approach Based On Geographical Risks And Emergency Response InfrastructureSmart Cities, 7, 1 (2024)
51432 View0.878Josipovic N.; Viergutz K.Smart Solutions For Municipal Flood Management: Overview Of Literature, Trends, And Applications In German CitiesSmart Cities, 6, 2 (2023)
36226 View0.876Riaz K.; McAfee M.; Gharbia S.S.Management Of Climate Resilience: Exploring The Potential Of Digital Twin Technology, 3D City Modelling, And Early Warning SystemsSensors, 23, 5 (2023)
16618 View0.872Hofmeister M.; Brownbridge G.; Hillman M.; Mosbach S.; Akroyd J.; Lee K.F.; Kraft M.Cross-Domain Flood Risk Assessment For Smart Cities Using Dynamic Knowledge GraphsSustainable Cities and Society, 101 (2024)
20231 View0.869Ariyachandra M.R.M.F.; Wedawatta G.Digital Twin Smart Cities For Disaster Risk Management: A Review Of Evolving ConceptsSustainability (Switzerland), 15, 15 (2023)
21811 View0.868Aboualola M.; Abualsaud K.; Khattab T.; Zorba N.; Hassanein H.S.Edge Technologies For Disaster Management: A Survey Of Social Media And Artificial Intelligence IntegrationIEEE Access, 11 (2023)
10738 View0.866Righetti F.; Vallati C.; Tubak A.K.; Roy N.; Basnyat B.; Anastasi G.Assessing The Feasibility Of Exploiting Edge Computing For Real-Time Monitoring Of Flash FloodsProceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022 (2022)
54592 View0.862Samarakkody, A; Amaratunga, D; Haigh, RTechnological Innovations For Enhancing Disaster Resilience In Smart Cities: A Comprehensive Urban Scholar'S AnalysisSUSTAINABILITY, 15, 15 (2023)