@article{TaubenboeckWurmNetzbandetal.2011,
  author    = {Taubenb{\"o}ck, H and Wurm, M and Netzband, M and Zwenzner, H and Roth, A and Rahman, A and Dech, S},
  title     = {Flood risks in urbanized areas - multi-sensoral approaches using remotely sensed data for risk assessment},
  series = {NATURAL HAZARDS AND EARTH SYSTEM SCIENCES},
  volume    = {11},
  journal   = {NATURAL HAZARDS AND EARTH SYSTEM SCIENCES},
  number    = {2},
  doi       = {10.5194/nhess-11-431-2011},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-139605},
  pages     = {431-444},
  year      = {2011},
  abstract  = {Estimating flood risks and managing disasters combines knowledge in climatology, meteorology, hydrology, hydraulic engineering, statistics, planning and geography - thus a complex multi-faceted problem. This study focuses on the capabilities of multi-source remote sensing data to support decision-making before, during and after a flood event. With our focus on urbanized areas, sample methods and applications show multi-scale products from the hazard and vulnerability perspective of the risk framework. From the hazard side, we present capabilities with which to assess flood-prone areas before an expected disaster. Then we map the spatial impact during or after a flood and finally, we analyze damage grades after a flood disaster. From the vulnerability side, we monitor urbanization over time on an urban footprint level, classify urban structures on an individual building level, assess building stability and quantify probably affected people. The results show a large database for sustainable development and for developing mitigation strategies, ad-hoc coordination of relief measures and organizing rehabilitation.},
  language  = {en}
}
@article{RauchTaubenboeckKnoppetal.2021,
  author    = {Rauch, S. and Taubenb{\"o}ck, H. and Knopp, C. and Rauh, J.},
  title     = {Risk and space: modelling the accessibility of stroke centers using day- \& nighttime population distribution and different transportation scenarios},
  series = {International Journal of Health Geographics},
  volume    = {20},
  journal   = {International Journal of Health Geographics},
  doi       = {10.1186/s12942-021-00284-y},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-261228},
  year      = {2021},
  abstract  = {Purpose Rapid accessibility of (intensive) medical care can make the difference between life and death. Initial care in case of strokes is highly dependent on the location of the patient and the traffic situation for supply vehicles. In this methodologically oriented paper we want to determine the inequivalence of the risks in this respect. Methods Using GIS we calculate the driving time between Stroke Units in the district of M{\"u}nster, Germany for the population distribution at day- \& nighttime. Eight different speed scenarios are considered. In order to gain the highest possible spatial resolution, we disaggregate reported population counts from administrative units with respect to a variety of factors onto building level. Results The overall accessibility of urban areas is better than in less urban districts using the base scenario. In that scenario 6.5\% of the population at daytime and 6.8\% at nighttime cannot be reached within a 30-min limit for the first care. Assuming a worse traffic situation, which is realistic at daytime, 18.1\% of the population fail the proposed limit. Conclusions In general, we reveal inequivalence of the risks in case of a stroke depending on locations and times of the day. The ability to drive at high average speeds is a crucial factor in emergency care. Further important factors are the different population distribution at day and night and the locations of health care facilities. With the increasing centralization of hospital locations, rural residents in particular will face a worse accessibility situation.},
  language  = {en}
}