Publication | Open Access
"Last-Mile" preparation for a potential disaster – Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia
160
Citations
32
References
2009
Year
Urban Morphology AnalysisEngineeringEmergency ManagementNatural DisastersCommunicationNatural Hazard AssessmentDisaster DetectionCoastal CityEarly WarningTsunami ScienceData ScienceManagementDisaster MitigationDisaster Risk ManagementGeographyDisaster ResponseEvacuation Information SystemUrban PlanningExtreme Natural EventsInterdisciplinary IntegrationDisaster ManagementDisaster ResearchCrisis ManagementDisaster Risk ReductionNatural Hazard Mitigation
Abstract. Extreme natural events, like e.g. tsunamis or earthquakes, regularly lead to catastrophes with dramatic consequences. In recent years natural disasters caused hundreds of thousands of deaths, destruction of infrastructure, disruption of economic activity and loss of billions of dollars worth of property and thus revealed considerable deficits hindering their effective management: Needs for stakeholders, decision-makers as well as for persons concerned include systematic risk identification and evaluation, a way to assess countermeasures, awareness raising and decision support systems to be employed before, during and after crisis situations. The overall goal of this study focuses on interdisciplinary integration of various scientific disciplines to contribute to a tsunami early warning information system. In comparison to most studies our focus is on high-end geometric and thematic analysis to meet the requirements of small-scale, heterogeneous and complex coastal urban systems. Data, methods and results from engineering, remote sensing and social sciences are interlinked and provide comprehensive information for disaster risk assessment, management and reduction. In detail, we combine inundation modeling, urban morphology analysis, population assessment, socio-economic analysis of the population and evacuation modeling. The interdisciplinary results eventually lead to recommendations for mitigation strategies in the fields of spatial planning or coping capacity.
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