TY  - JOUR
PY  - 2023//
TI  - Mobile positioning-based population statistics in crisis management: an Estonian case study
JO  - International journal of disaster risk reduction
A1  - Tominga, Ago
A1  - Silm, Siiri
A1  - Orru, Kati
A1  - Vent, Kaisa
A1  - Klaos, Margo
A1  - Võik, Eva-Johanna
A1  - Saluveer, Erki
SP  - e103887
EP  - e103887
VL  - 96
IS  - 
N2  - Key to strong disaster management practices is to have a clear understanding of people's whereabouts in disaster areas. One novel method for retrieving this information near real time is mobile positioning data. The goals of this research were to develop a methodology for identifying de facto populations and population groups in potential disaster areas, evaluate their spatio-temporal variation, and assess the applicability of the associated statistics in disaster management. Population groups - residents and temporary residents, workers, foreign and domestic tourists, regular and transit visitors - were identified based on Estonian historical mobile positioning data, where the details of stays and trips are provided based on longitudinal mobility behaviour. The main findings included that population changes follow clear week-hourly rhythms for de facto populations, residents and workers, but not for tourists and temporary residents. There are distinctive and identifiable geographical differences in how population group presence changes over time. Rescue workers asserted that the methodology of population statistics enabled them to assess population presence and composition in areas more precisely than registry-based approaches. This should evacuation planning, resource allocation and communication activities while preparing for and responding to disasters.<p />  <p>Language: en</p>
LA  - en
SN  - 2212-4209
UR  - http://dx.doi.org/10.1016/j.ijdrr.2023.103887
ID  - ref1
ER  -