Abstract
Abstract. 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 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.
Highlights
Abundant research has been done in the fields of geographic information systems (GIS) and remote sensing in order to analyze disaster risk and to provide relevant information that improves decisionmaking and relief effectiveness in disaster management (Herold and Sawada 2012)
Satellite-based data is available faster and in ever-improving resolutions (Voigt et al 2016). This apparent benefit may lead to information overload (Chen 2010; Schick et al 1999), which can be counter-productive for decision makers in disaster situations, where information must be understood rapidly and with the lowest cognitive workload
This paper proposes data fusion and schematization of route maps for the field of disaster management
Summary
Abundant research has been done in the fields of geographic information systems (GIS) and remote sensing in order to analyze disaster risk and to provide relevant information that improves decisionmaking and relief effectiveness in disaster management (Herold and Sawada 2012). A proper evaluation of the threat along roads is needed, and this requires new ways to deal with and visualize threat data To this end, our goal is to propose a more effective means of visualizing potential threats along roads and routes. Our goal is to propose a more effective means of visualizing potential threats along roads and routes We do this in a way that simplifies the use of threat data in the context of infrastructure vulnerability estimation and decisionmaking in all tasks that require mobility. This paper does not claim to develop a new algorithm for automatic generation of generalized maps It rather proposes the design of a more dynamic and efficient way to gather and visualize existing threat data for mobility-related decision-making. We suggest possible applications, discuss the results, introduce our future work and propose recommendations for future research
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