Flexible Workflow for Determining Critical Hazard and Exposure Scenarios for Assessing SLODs Risk in Urban Built Environments

Urban Built Environments (UBE) are increasingly prone to SLow-Onset Disasters (SLODs) such as air pollution and heatwaves. The effectiveness of sustainable risk-mitigation solutions for the exposed individuals’ health should be defined by considering the effective scenarios in which emergency condit...

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Bibliographic Details
Published in:Sustainability 2021-04, Vol.13 (8), p.4538
Main Authors: Blanco Cadena, Juan Diego, Salvalai, Graziano, Lucesoli, Michele, Quagliarini, Enrico, D’Orazio, Marco
Format: Article
Language:English
Subjects:
Air pollution
Case studies
Climate change
Decision making
Disasters
Emergency preparedness
Environmental conditions
Exposure
Human behavior
Mental task performance
Mitigation
Pollution effects
Remote sensing
Risk assessment
Simulation
Sustainability
Urban environments
Workflow
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Summary:Urban Built Environments (UBE) are increasingly prone to SLow-Onset Disasters (SLODs) such as air pollution and heatwaves. The effectiveness of sustainable risk-mitigation solutions for the exposed individuals’ health should be defined by considering the effective scenarios in which emergency conditions can appear. Combining environmental (including climatic) conditions and exposed users’ presence and behaviors is a paramount task to support decision-makers in risk assessment. A clear definition of input scenarios and related critical conditions to be analyzed is needed, especially while applying simulation-based approaches. This work provides a methodology to fill this gap, based on hazard and exposure peaks identification. Quick and remote data-collection is adopted to speed up the process and promote the method application by low-trained specialists. Results firstly trace critical conditions by overlapping air pollution and heatwaves occurrence in the UBE. Exposure peaks (identified by remote analyses on the intended use of UBEs) are then merged to retrieve critical conditions due to the presence of the individuals over time and UBE spaces. The application to a significant case study (UBE in Milan, Italy) demonstrates the approach capabilities to identify key input scenarios for future human behavior simulation activities from a user-centered approach.
ISSN:2071-1050
2071-1050
DOI:10.3390/su13084538