Using mobile phone data to map evacuation and displacement: a case study of the central Italy earthquake.

Autor: Giardini F; Department of Sociology, University of Groningen, Grote Rozenstraat, 31, 9712 TG, Groningen, The Netherlands. f.giardini@rug.nl., Hadjidimitriou NS; Dipartimento di Scienze e Metodi dell'Ingegneria, Università di Modena e Reggio Emilia, Via Amendola, 2 - Pad. Morselli, 42122, Reggio Emilia, Italy., Mamei M; Dipartimento di Scienze e Metodi dell'Ingegneria, Università di Modena e Reggio Emilia, Via Amendola, 2 - Pad. Morselli, 42122, Reggio Emilia, Italy. marco.mamei@unimore.it.; Artificial Intelligence Research and Innovation Center - AIRI, Università di Modena e Reggio Emilia, Via Vivarelli, 10, 41125, Modena, Italy. marco.mamei@unimore.it., Bastardi G; Dipartimento di Scienze e Metodi dell'Ingegneria, Università di Modena e Reggio Emilia, Via Amendola, 2 - Pad. Morselli, 42122, Reggio Emilia, Italy., Codeluppi N; Dipartimento di Scienze e Metodi dell'Ingegneria, Università di Modena e Reggio Emilia, Via Amendola, 2 - Pad. Morselli, 42122, Reggio Emilia, Italy., Pancotto F; Dipartimento di Studi Linguistici e Culturali, Università di Modena e Reggio Emilia, Largo S. Eufemia, 19, 41121, Modena, Italy.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2023 Dec 14; Vol. 13 (1), pp. 22228. Date of Electronic Publication: 2023 Dec 14.
DOI: 10.1038/s41598-023-48130-4
Abstrakt: Population displacement is one of the most common consequences of disasters, and it can profoundly affect communities and territories. However, gaining an accurate measure of the size of displacement in the days and weeks following a major disaster can be extremely difficult. This study uses aggregated Call Detail Records as an inexpensive and efficient technique to measure post-disaster displacement in four Italian regions affected by repeated earthquakes in 2016-2017. By comparing post-disaster mobile phone count with a forecast computed before the earthquake hit, we can compute an index of change in the presence of mobile phones (MPE). This measure, obtained thanks to advanced analytical techniques, provides a reliable indication of the effect of the earthquake in terms of immediate and medium-term displacement. We test this measure against census data and in combination with other datasets. Looking into available data on economic activities and requests for financial support to rebuild damaged buildings, we can explain MPE and identify significant factors affecting population displacement. It is possible to apply this innovative methodology to other disaster scenarios and use it by policymakers who want to understand the determinants of population displacement.
(© 2023. The Author(s).)
Databáze: MEDLINE
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