Dynamics of disasters : algorithmic approaches and applications
Author(s)
Bibliographic Information
Dynamics of disasters : algorithmic approaches and applications
（Springer optimization and its applications, v. 140）
Springer, c2018
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Includes bibliographical references
Description and Table of Contents
Description
This book surveys new algorithmic approaches and applications to natural and man-made disasters such as oil spills, hurricanes, earthquakes and wildfires. Based on the "Third International Conference on Dynamics of Disasters" held in Kalamata, Greece, July 2017, this Work includes contributions in evacuation logistics, disaster communications between first responders, disaster relief, and a case study on humanitarian logistics. Multi-disciplinary theories, tools, techniques and methodologies are linked with disasters from mitigation and preparedness to response and recovery. The interdisciplinary approach to problems in economics, optimization, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies will engage readers from a wide variety of fields and backgrounds.
Table of Contents
Evacuation trees with contraow and divergence considerations.- Modelling possible oil spills in the Barents Sea and their consequences.- Prospects and Bottlenecks of Reciprocal Partnerships between the Private and Humanitarian: Sectors in Cash Transfer Programming for Humanitarian Response.- Advances in Disaster Communications: Broadband Systems for First Responders.- Equilibrium Analysis for Common-Pool Resources.- A Multitiered Supply Chain Network Equilibrium Model for Disaster Relief with Capacitated Freight Service Provision.- A Variational Equilibrium Network Framework for Humanitarian Organizations in Disaster Relief: Effective Product Delivery Under Competition for Financial Funds.- A humanitarian logistics case study for the intermediary phase accommodation center for refugees and other humanitarian disaster victims.
by "Nielsen BookData"
