Optimal Evacuation Solutions for Large-Scale Scenarios

Evacuation, the process of moving people out of potentially dangerous areas, is a key response to many threats. Planning such an evacuation is therefore important, especially in large-scale emergencies, where routing becomes non-trivial. This paper deals with the optimization and simulation of the evacuation process. We draw our data from the study of the city of Padang in Indonesia, with its high threat of tsunami waves.BMBF, 03G0666E, Verbundprojekt FW: Last-mile Evacuation; Vorhaben: Evakuierungsanalyse und Verkehrsoptimierung, Evakuierungsplan einer Stadt - Sonderprogramm GEOTECHNOLOGIENBMBF, 03NAPAI4, Transport und Verkehr: Verbundprojekt ADVEST: Adaptive Verkehrssteuerung; Teilprojekt Verkehrsplanung und Verkehrssteuerung in MegacitiesDFG, FZT 86, Matheon - Mathematik für Schlüsseltechnologien: Modellierung, Simulation und Optimierung realer Prozess

Model Input Data of publication "Towards thresholds of disaster management performance under demographic change" (NHESS)

Model input data of publication <div><br></div><div>Dressler, G., Müller, B., Frank, K., Kuhlicke, C.: "Towards thresholds of disaster management performance under demographic change: exploring functional relationships using agent-based modeling", Natural Hazards and Earth System Sciences, 2016.</div><div><br></div><div>Contains the following datasets:</div><div><br></div><div>OpenStreetMap data of rivers and street network of the Free State of Saxony, Germany. Raw data obtained from Geofabrik (link see references).</div><div><br></div><div>Flood prone areas of the Free State of Saxony, Germany. Raw data obtained from Landesamt für Umwelt, Landwirtschaft and Geologie - LfULG (link see references).</div><div><br></div><div>All data has been preprocessed for two case sites using ArcGIS and prepared for use in a NetLogo simulation model.</div

Inter-Vehicular Communication - From Edge Support to Vulnerable Road Users (Dagstuhl Seminar 21262)

This report documents the program and the outcomes of Dagstuhl Seminar 21262 "Inter-Vehicular Communication - From Edge Support to Vulnerable Road Users". Looking back at the last decade, one can observe enormous progress in the domain of vehicular networking. In this growing community, many ongoing activities focus on the design of communication protocols to support safety applications, intelligent navigation, and many others. We shifted the focus from basic networking principles to open challenges in edge computing support and, as a novel aspect, on how to integrate so called vulnerable road users (VRU) into the picture

How to make socio‐environmental modelling more useful to support policy and management?

Abstract Dynamic process‐based modelling is often proposed as a powerful tool to understand complex socio‐environmental problems and to provide sustainable solutions as it allows disentangling cause and effect of human behaviour and environmental dynamics. However, the impact of such models in decision‐making and to support policy‐making has so far been very limited. In this paper, we want to take a critical look at the reasons behind this situation and propose steps that need to be taken to change it. We investigate a number of good practice examples from fields where models have influenced policy‐making and management to identify the main aspects that promote or impede the application of these models. Specifically, we compare examples that differ in their extent to how explicitly they represent human behaviour as part of the model, ranging from purely environmental systems (including models for river management, honeybee colonies and animal diseases), where modelling techniques have long been established, to coupled socio‐environmental systems (including models for land use, fishery management and sustainable water use). We use these examples to synthesise four key factors for successful modelling for policy and management support in socio‐environmental systems. They cover (a) the specific requirements caused by modelling the human dimension, (b) the importance of data availability and accessibility, (c) essential elements of the partnership between modellers and decision‐makers and (d) insights related to characteristics of the decision process. For each of these aspects, we give recommendations specifically to modellers, decision‐makers or both to make the use of models for practice more effective. We argue that if all parties involved in the modelling and decision‐making process take into account these suggestions during their collaboration, the full potential that socio‐environmental modelling bears can increasingly unfold. A free Plain Language Summary can be found within the Supporting Information of this article.ISSN:2575-831