---
res:
  bibo_abstract:
  - "In the aftermath of natural disasters, the timely coordination of spon-\r\ntaneous
    volunteers is crucial for minimising harm and preventing casualties. How-\r\never,
    research into decision support methodologies and systems for coordinating\r\nvolunteers
    is scarce. Building on previous work in this area, we propose combin-\r\ning heuristic
    and exact procedures. Based on real-world data from a flood scenario\r\nin Halle
    (Saale, Germany) in 2018, we propose and computationally evaluate\r\ndifferent
    combinations. Our results show that using a combination of a heuristic\r\nand
    a MILP solver allows for the efficient computation of effective solutions for\r\nup
    to 500 volunteers. Our results also show that the most suitable mode depends\r\non
    the size of the problem in terms of the number of volunteers.@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Manuel
      foaf_name: Goecke, Manuel
      foaf_surname: Goecke
  - foaf_Person:
      foaf_givenName: Judith
      foaf_name: Gnade, Judith
      foaf_surname: Gnade
  - foaf_Person:
      foaf_givenName: Guido
      foaf_name: Schryen, Guido
      foaf_surname: Schryen
      foaf_workInfoHomepage: http://www.librecat.org/personId=72850
  dct_date: 2026^xs_gYear
  dct_language: eng
  dct_subject:
  - Disaster Management
  - Volunteer Coordination
  - Decision Support Systems
  - MILP
  dct_title: 'Coordinating Spontaneous Volunteers in the Aftermath of Natural Disasters:
    Development and Computational Evaluation of Heuristic Methods@'
...