Improving analyses of population exposure to potential natural hazards, especially sudden ones, requires more detailed geodemographic data. Availability of such information for large areas is limited by specific database requirements and their cost.
This paper introduces and tests a new approach for refining spatio-temporal population distribution at high resolution by combining diverse geoinformation layers. Its value is demonstrated in the context of disaster risk analysis and emergency management by using the data in a real volcanic risk scenario in Campi Flegrei, located within the metropolitan area of Naples, Italy. Results show that there is significant variation in exposure from nighttime to daytime in the study area.
The proposed modeling approach can be applied and customized for other metropolitan areas, ultimately benefiting disaster risk assessment and mitigation.
CARNEIRO FREIRE Sergio Manuel;
FLORCZYK Aneta;
FERRI Stefano;
2015-08-06
ISCRAM Association
JRC94704
978-82-7117-788-1,
2411-3387,
http://iscram2015.uia.no/?page_id=1431,
https://publications.jrc.ec.europa.eu/repository/handle/JRC94704,
| Name | Country | City | Type |
|---|
This document is only visible at the Commission level.
You are not authorized to publish or distribute it outside the European Commission.
This is a public document. You can share this publication.
Datasets
| ID | Title | Public URL |
|---|
Dataset collections
| ID | Acronym | Title | Public URL |
|---|
Scripts / source codes
| Description | Public URL |
|---|
Additional supporting files
| File name | Description | File type |
|---|