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Hazards and accessibility

  • The assessment of natural hazards and risk has traditionally been built upon the estimation of threat maps, which are used to depict potential danger posed by a particular hazard throughout a given area. But when a hazard event strikes, infrastructure is a significant factor that can determine if the situation becomes a disaster. The vulnerability of the population in a region does not only depend on the area’s local threat, but also on the geographical accessibility of the area. This makes threat maps by themselves insufficient for supporting real-time decision-making, especially for those tasks that involve the use of the road network, such as management of relief operations, aid distribution, or planning of evacuation routes, among others. To overcome this problem, this paper proposes a multidisciplinary approach divided in two parts. First, data fusion of satellite-based threat data and open infrastructure data from OpenStreetMap, introducing a threat-based routing service. Second, the visualization of this data throughThe assessment of natural hazards and risk has traditionally been built upon the estimation of threat maps, which are used to depict potential danger posed by a particular hazard throughout a given area. But when a hazard event strikes, infrastructure is a significant factor that can determine if the situation becomes a disaster. The vulnerability of the population in a region does not only depend on the area’s local threat, but also on the geographical accessibility of the area. This makes threat maps by themselves insufficient for supporting real-time decision-making, especially for those tasks that involve the use of the road network, such as management of relief operations, aid distribution, or planning of evacuation routes, among others. To overcome this problem, this paper proposes a multidisciplinary approach divided in two parts. First, data fusion of satellite-based threat data and open infrastructure data from OpenStreetMap, introducing a threat-based routing service. Second, the visualization of this data through cartographic generalization and schematization. This emphasizes critical areas along roads in a simple way and allows users to visually evaluate the impact natural hazards may have on infrastructure. We develop and illustrate this methodology with a case study of landslide threat for an area in Colombia.show moreshow less

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Metadaten
Author details:Jordi Tost, Fabian Ehmel, Frank Heidmann, Stephanie M. OlenORCiDGND, Bodo BookhagenORCiDGND
URN:urn:nbn:de:kobv:517-opus4-427853
DOI:https://doi.org/10.25932/publishup-42785
ISSN:1866-8372
Title of parent work (German):Postprints der Universität Potsdam Mathematisch-Naturwissenschaftliche Reihe
Subtitle (English):combining and visualizing threat and open infrastructure data for disaster management
Publication type:Postprint
Language:English
Date of first publication:2019/05/23
Publication year:2018
Publishing institution:Universität Potsdam
Release date:2019/05/23
Tag:data fusion; disaster management; generalization; geovisualization; natural hazards; schematic maps
Issue:710
Number of pages:8
Source:Proceedings of the International Cartographic Association 1 (2018) DOI: 10.5194/ica-proc-1-115-2018
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät
DDC classification:3 Sozialwissenschaften / 30 Sozialwissenschaften, Soziologie / 300 Sozialwissenschaften
5 Naturwissenschaften und Mathematik / 52 Astronomie / 520 Astronomie und zugeordnete Wissenschaften
Peer review:Referiert
Publishing method:Open Access
Grantor:Copernicus
License (German):License LogoCC-BY - Namensnennung 4.0 International
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