Identifying and classifying broader scale of disaster impacts to better inform disaster management policies and practice
Saved in:
| Title: | Identifying and classifying broader scale of disaster impacts to better inform disaster management policies and practice |
|---|---|
| Authors: | Kishani Priyangi Tennakoon, Silvia Serrao-Neumann, Raven Cretney |
| Source: | Natural Hazards. 121:3559-3579 |
| Publisher Information: | Springer Science and Business Media LLC, 2024. |
| Publication Year: | 2024 |
| Subject Terms: | disaster recovery, ANZSRC::460209 Planning and decision making, disaster database, 37 Earth Sciences, emergency management, 3709 Physical Geography and Environmental Geoscience, disaster risk reduction, ANZSRC::3709 Physical geography and environmental geoscience, disaster response, flooding, ANZSRC::350703 Disaster and emergency management, ANZSRC::330303 Design for disaster relief, 11 Sustainable Cities and Communities, ANZSRC::380105 Environment and resource economics |
| Description: | Disasters are often assessed by factors such as their magnitude, severity and impact on affected communities. Typically, disaster management policies are largely informed by learnings from large-scale disasters. Many studies, however, have shown that cumulative smaller scale disaster impacts have similar outcomes comparable to larger scale disasters. This indirectly contributes to a lack of consistency in and paucity of data related to both smaller-scale disasters and their associated cumulative impacts. This paper argues that greater attention needs to be paid to collecting disaster impact data on a range of disaster-scale events along with their cumulative impacts to better inform disaster management policies and practice. The paper aims to test the hypothesis that a better understanding of a wide range of disaster scale types and their impacts on communities, including small-scale disasters, enables the development of more just, consistent and equitable disaster management policies and practice. Analysing economic costs, evacuation and rainfall data from past flood events that affected Aotearoa-New Zealand over the last three decades, the paper found discrepancies and lack of coherence in disaster data collection and reporting, along with a predominant reliance on rainfall intensity data for disaster risk reduction and planning. The findings also confirmed the importance of identifying economic damages for a range of disaster scales, including those from small-scale disasters. This highlights the need for developing a spectrum to better classify and identify disaster impacts based on various spatial and temporal contexts. The paper concludes by affirming that such database would provide much needed evidence for developing a methodology that enables the identification of the level of disaster impacts; thereby guiding the implementation of more just, consistent and equitable disaster management policies and practice. |
| Document Type: | Article |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 1573-0840 0921-030X |
| DOI: | 10.1007/s11069-024-06707-w |
| Rights: | CC BY |
| Accession Number: | edsair.doi.dedup.....0c64505642ea9cb2d6d7b19a1a91ae1b |
| Database: | OpenAIRE |
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstract: | Disasters are often assessed by factors such as their magnitude, severity and impact on affected communities. Typically, disaster management policies are largely informed by learnings from large-scale disasters. Many studies, however, have shown that cumulative smaller scale disaster impacts have similar outcomes comparable to larger scale disasters. This indirectly contributes to a lack of consistency in and paucity of data related to both smaller-scale disasters and their associated cumulative impacts. This paper argues that greater attention needs to be paid to collecting disaster impact data on a range of disaster-scale events along with their cumulative impacts to better inform disaster management policies and practice. The paper aims to test the hypothesis that a better understanding of a wide range of disaster scale types and their impacts on communities, including small-scale disasters, enables the development of more just, consistent and equitable disaster management policies and practice. Analysing economic costs, evacuation and rainfall data from past flood events that affected Aotearoa-New Zealand over the last three decades, the paper found discrepancies and lack of coherence in disaster data collection and reporting, along with a predominant reliance on rainfall intensity data for disaster risk reduction and planning. The findings also confirmed the importance of identifying economic damages for a range of disaster scales, including those from small-scale disasters. This highlights the need for developing a spectrum to better classify and identify disaster impacts based on various spatial and temporal contexts. The paper concludes by affirming that such database would provide much needed evidence for developing a methodology that enables the identification of the level of disaster impacts; thereby guiding the implementation of more just, consistent and equitable disaster management policies and practice. |
|---|---|
| ISSN: | 15730840 0921030X |
| DOI: | 10.1007/s11069-024-06707-w |