---
_id: '750'
abstract:
- lang: eng
text: Modern communication technologies allow first responders to contact thousands
of potential volunteers simultaneously for support during a crisis or disaster
event. However, such volunteer efforts must be well coordinated and monitored,
in order to offer an effective relief to the professionals. In this paper we extend
earlier work on optimally assigning volunteers to selected landmark locations.
In particular, we emphasize the aspect that obtaining good assignments requires
not only advanced computational tools, but also a realistic measure of distance
between volunteers and landmarks. Specifically, we propose the use of the Open
Street Map (OSM) driving distance instead of he previously used flight distance.
We find the OSM driving distance to be better aligned with the interests of volunteers
and first responders. Furthermore, we show that relying on the flying distance
leads to a substantial underestimation of the number of required volunteers, causing
negative side effects in case of an actual crisis situation.
author:
- first_name: Jasmin
full_name: Pielorz, Jasmin
id: 49BC895A-F248-11E8-B48F-1D18A9856A87
last_name: Pielorz
- first_name: Matthias
full_name: Prandtstetter, Matthias
last_name: Prandtstetter
- first_name: Markus
full_name: Straub, Markus
last_name: Straub
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Pielorz J, Prandtstetter M, Straub M, Lampert C. Optimal geospatial volunteer
allocation needs realistic distances. In: 2017 IEEE International Conference
on Big Data. IEEE; 2017:3760-3763. doi:10.1109/BigData.2017.8258375'
apa: 'Pielorz, J., Prandtstetter, M., Straub, M., & Lampert, C. (2017). Optimal
geospatial volunteer allocation needs realistic distances. In 2017 IEEE International
Conference on Big Data (pp. 3760–3763). Boston, MA, United States: IEEE. https://doi.org/10.1109/BigData.2017.8258375'
chicago: Pielorz, Jasmin, Matthias Prandtstetter, Markus Straub, and Christoph Lampert.
“Optimal Geospatial Volunteer Allocation Needs Realistic Distances.” In 2017
IEEE International Conference on Big Data, 3760–63. IEEE, 2017. https://doi.org/10.1109/BigData.2017.8258375.
ieee: J. Pielorz, M. Prandtstetter, M. Straub, and C. Lampert, “Optimal geospatial
volunteer allocation needs realistic distances,” in 2017 IEEE International
Conference on Big Data, Boston, MA, United States, 2017, pp. 3760–3763.
ista: Pielorz J, Prandtstetter M, Straub M, Lampert C. 2017. Optimal geospatial
volunteer allocation needs realistic distances. 2017 IEEE International Conference
on Big Data. Big Data, 3760–3763.
mla: Pielorz, Jasmin, et al. “Optimal Geospatial Volunteer Allocation Needs Realistic
Distances.” 2017 IEEE International Conference on Big Data, IEEE, 2017,
pp. 3760–63, doi:10.1109/BigData.2017.8258375.
short: J. Pielorz, M. Prandtstetter, M. Straub, C. Lampert, in:, 2017 IEEE International
Conference on Big Data, IEEE, 2017, pp. 3760–3763.
conference:
end_date: 2017-12-14
location: Boston, MA, United States
name: Big Data
start_date: 2017-12-11
date_created: 2018-12-11T11:48:18Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2021-01-12T08:13:55Z
day: '01'
department:
- _id: ChLa
doi: 10.1109/BigData.2017.8258375
language:
- iso: eng
month: '12'
oa_version: None
page: 3760 - 3763
publication: 2017 IEEE International Conference on Big Data
publication_identifier:
isbn:
- 978-153862714-3
publication_status: published
publisher: IEEE
publist_id: '6906'
quality_controlled: '1'
scopus_import: 1
status: public
title: Optimal geospatial volunteer allocation needs realistic distances
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2017'
...
---
_id: '1707'
abstract:
- lang: eng
text: "Volunteer supporters play an important role in modern crisis and disaster
management. In the times of mobile Internet devices, help from thousands of volunteers
can be requested within a short time span, thus relieving professional helpers
from minor chores or geographically spread-out tasks. However, the simultaneous
availability of many volunteers also poses new problems. In particular, the volunteer
efforts must be well coordinated, or otherwise situations might emerge in which
too many idle volunteers at one location become more of a burden than a relief
to the professionals.\r\nIn this work, we study the task of optimally assigning
volunteers to selected locations, e.g. in order to perform regular measurements,
to report on damage, or to distribute information or resources to the population
in a crisis situation. We formulate the assignment tasks as an optimization problem
and propose an effective and efficient solution procedure. Experiments on real
data of the Team Österreich, consisting of over 36,000 Austrian volunteers, show
the effectiveness and efficiency of our approach."
acknowledgement: The DRIVER FP7 project has received funding from the European Unions
Seventh Framework Programme for research, technological development and demonstration
under grant agreement no 607798. RE-ACTA was funded within the framework of the
Austrian Security Research Programme KIRAS by the Federal Ministry for Transport,
Innovation and Technology.
article_number: '7402041'
author:
- first_name: Jasmin
full_name: Pielorz, Jasmin
id: 49BC895A-F248-11E8-B48F-1D18A9856A87
last_name: Pielorz
- first_name: Christoph
full_name: Lampert, Christoph
id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
last_name: Lampert
orcid: 0000-0001-8622-7887
citation:
ama: 'Pielorz J, Lampert C. Optimal geospatial allocation of volunteers for crisis
management. In: IEEE; 2016. doi:10.1109/ICT-DM.2015.7402041'
apa: 'Pielorz, J., & Lampert, C. (2016). Optimal geospatial allocation of volunteers
for crisis management. Presented at the ICT-DM: Information and Communication
Technologies for Disaster Management, Rennes, France: IEEE. https://doi.org/10.1109/ICT-DM.2015.7402041'
chicago: Pielorz, Jasmin, and Christoph Lampert. “Optimal Geospatial Allocation
of Volunteers for Crisis Management.” IEEE, 2016. https://doi.org/10.1109/ICT-DM.2015.7402041.
ieee: 'J. Pielorz and C. Lampert, “Optimal geospatial allocation of volunteers for
crisis management,” presented at the ICT-DM: Information and Communication Technologies
for Disaster Management, Rennes, France, 2016.'
ista: 'Pielorz J, Lampert C. 2016. Optimal geospatial allocation of volunteers for
crisis management. ICT-DM: Information and Communication Technologies for Disaster
Management, 7402041.'
mla: Pielorz, Jasmin, and Christoph Lampert. Optimal Geospatial Allocation of
Volunteers for Crisis Management. 7402041, IEEE, 2016, doi:10.1109/ICT-DM.2015.7402041.
short: J. Pielorz, C. Lampert, in:, IEEE, 2016.
conference:
end_date: 2015-12-02
location: Rennes, France
name: 'ICT-DM: Information and Communication Technologies for Disaster Management'
start_date: 2015-11-30
date_created: 2018-12-11T11:53:35Z
date_published: 2016-02-11T00:00:00Z
date_updated: 2021-01-12T06:52:39Z
day: '11'
department:
- _id: ChLa
doi: 10.1109/ICT-DM.2015.7402041
language:
- iso: eng
month: '02'
oa_version: None
publication_status: published
publisher: IEEE
publist_id: '5429'
quality_controlled: '1'
scopus_import: 1
status: public
title: Optimal geospatial allocation of volunteers for crisis management
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
year: '2016'
...