A carregar...
Publicação
Data validation and quality assessment of voluntary geographic information road network of Castellon for emergency route planning
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 3.73 MB | Adobe PDF |
Autores
Resumo(s)
Disasters are unpredictable. Natural disasters such as earthquake, flood, landslide or man-made disaster such as fire, road accident can affect our life anytime. Many casualties occur during the disaster on the absence of preparedness and prevention measure. Lack of evacuation routes and the timely response to the injured people to the nearby emergency services is one of the main sources for a large number of casualties. Proper response operations must be carried out, as a slight delay can risk the lives of citizens. Since disaster cannot be mitigated, preventive measures before and after the disaster are important. Spatial data play a significant role in emergency management: preparedness, response, recovery, and mitigation. A suitable network analysis aids to a smooth network and especially helps during a disaster.
In this paper, Castellon network dataset is developed using validated Voluntary Geographic Information. It is developed to find the fastest route to the emergency services, especially during or after the occurrence of a disaster. Data quality assurance is performed using positional, attribute and network length check to produce efficient results. The fastest and safest route to and from the emergency services are recognized to plan safety measure during the occurrence of a disaster. The evaluation of the network by participants provides insight into the quality and use of the network in a disaster scenario. It also reveals that VGI can be used further in the preparation of a disaster prevention system for various cities.
Descrição
Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
Palavras-chave
Castellon Data Validation Disaster Preparedness Emergency management Mapathon Network Analysis OpenStreetMap Quality Evaluation Volunteer Geographic Information