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Author (up) Tobias Andersson Granberg; Sara Erlander; David Fredman; Lovisa Olovsson; Emma Persson pdf  isbn
  Title Predicting Volunteer Travel Time to Emergencies Type Conference Article
  Year 2022 Publication ISCRAM 2022 Conference Proceedings 19th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2022  
  Volume Issue Pages 44-54  
  Keywords Travel time modelling; Lay responder dispatch; Out-of-hospital cardiac arrest; Decision support; First response; Volunteer responders  
  Abstract A model is developed, which can predict the travel time for volunteers that are dispatched as first responders to emergencies. Specifically, the case of lay responders to out of hospital cardiac arrest is studied. Positions from historical responses is used to estimate the real response times, which are used to train and evaluate the new travel time model. The new model considers the road network and the transport mode most likely used by the volunteers. The results for the new model are compared to a model used in an existing volunteer initiative. They show that the new model can make better predictions in 59.7% of the cases. This can be used directly as a base for improving the travel time estimates in existing volunteer initiatives, and to improve the input data to the continuously evolving volunteer resource management systems.  
  Address Linköping University  
  Corporate Author Thesis  
  Publisher Place of Publication Tarbes, France Editor Rob Grace; Hossein Baharmand  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-82-8427-099-9 Medium  
  Track Analytic Modeling and Simulation Expedition Conference  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2398  
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