Abstract
In many countries where natural disasters often occur, such as Indonesia, information about the area affected by the disaster is very important. As in the transportation sector, road users must avoid affected areas and roads. To overcome this problem, in this paper we propose a Geographic Information System (GIS) to identify areas affected by natural disasters within a certain radius. We use a web-based and mobile platform to present an open access system. In addition, we utilize OpenStreetMap map data as a source of spatial database that is open, wide-scale, and complete. In the initial stage, polygon-shaped road data will be split in-to shorter line segments and stored in PostGIS Spatial DBMS. Furthermore, this system will automatically detect road segments that included within the radius of a natural disaster event. Displays of road segments affected by disasters will be accessible to users through web and mobile applications. In addition, we also test and evaluate our system in case studies in certain areas in Indonesia.
Highlights
In this world, every country will be at risk of natural disasters, such as floods, earthquakes, tsunami, fires, and landslides [1]
Road users often do not know the information of the area affected by natural disasters, especially information about roads that cannot be passed
In this paper we propose a geographic information system to identify areas affected by natural disasters within a certain radius
Summary
Every country will be at risk of natural disasters, such as floods, earthquakes, tsunami, fires, and landslides [1]. Areas that have high rainfall will have a higher risk of floods and landslides. A natural disaster will cause damage to the infrastructure of an area, especially the transportation sector. In this sector, the road is an important infrastructure and is widely used by the population. Destruction to road infrastructure will result in a collapse in logistics access from one area to another. In this incident, road users often do not know the information of the area affected by natural disasters, especially information about roads that cannot be passed. If the information can be known first, road users will be able to make a solution to these conditions, such as finding another route or cancelling the travel plan
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More From: International Journal of Online and Biomedical Engineering (iJOE)
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