摘要：Increasing land consumption and land demand particularly in mountainous regions entail
further expansion of settlements to known hazard-prone areas. Potential impacts as well as
regionally defined levels of 'acceptable risk' are often not transparently communicated and
residual risks are not perceived by the public. Analysing past events and assessing regional
damage potentials can help planners on all levels to improve comprehensive and sustainable
risk management. In this letter, a geospatial and statistical approach to regional
damage cost assessment is presented, integrating information on actual conditions in
terms of land use disparities and recorded damage data from a documented severe
flooding event. In a first step building objects are categorized according to their
function and use. Tabular company information is linked to the building model via
geocoded postal address data, enabling classification of building types in terms of
predominant uses. For the disaster impact assessment the flood plain is delineated based
on post-disaster aerial imagery and a digital terrain model distinguishing areas
of long and short term flooding. Finally, four regional damage cost assessment
scenarios on different levels of detail are calculated. The damage cost projection
relies on available sample building-level damage records, allowing rough damage
averaging for distinct building uses. Results confirm that consideration of local
land use patterns is essential for optimizing regional damage cost projections.
