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Research Article

Predictability of population displacement after the 2010 Haiti earthquake

Xin Lu, Linus Bengtsson, and Petter Holme
  1. aDepartment of Public Health Sciences, Karolinska Institutet, 17177 Stockholm, Sweden;
  2. bDepartment of Sociology, Stockholm University, 10691 Stockholm, Sweden;
  3. cDepartment of Physics, Umeå University, 90187 Umeå, Sweden; and
  4. dDepartment of Energy Science, Sungkyunkwan University, Suwon 440-746, Korea

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PNAS first published June 18, 2012; https://doi.org/10.1073/pnas.1203882109
Xin Lu
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  • For correspondence: [email protected] [email protected]
Linus Bengtsson
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  • For correspondence: [email protected] [email protected]
Petter Holme
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  1. Edited by* H. Eugene Stanley, Boston University, Boston, MA, and approved May 16, 2012 (received for review March 6, 2012)

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Abstract

Most severe disasters cause large population movements. These movements make it difficult for relief organizations to efficiently reach people in need. Understanding and predicting the locations of affected people during disasters is key to effective humanitarian relief operations and to long-term societal reconstruction. We collaborated with the largest mobile phone operator in Haiti (Digicel) and analyzed the movements of 1.9 million mobile phone users during the period from 42 d before, to 341 d after the devastating Haiti earthquake of January 12, 2010. Nineteen days after the earthquake, population movements had caused the population of the capital Port-au-Prince to decrease by an estimated 23%. Both the travel distances and size of people’s movement trajectories grew after the earthquake. These findings, in combination with the disorder that was present after the disaster, suggest that people’s movements would have become less predictable. Instead, the predictability of people’s trajectories remained high and even increased slightly during the three-month period after the earthquake. Moreover, the destinations of people who left the capital during the first three weeks after the earthquake was highly correlated with their mobility patterns during normal times, and specifically with the locations in which people had significant social bonds. For the people who left Port-au-Prince, the duration of their stay outside the city, as well as the time for their return, all followed a skewed, fat-tailed distribution. The findings suggest that population movements during disasters may be significantly more predictable than previously thought.

  • trajectory
  • human mobility
  • disaster informatics
  • disaster relief

Footnotes

  • ↵1X.L. and L.B. contributed equally to this work.

  • ↵2To whom correspondence may be addressed. E-mail: lu.xin{at}sociology.su.se or linus.bengtsson{at}ki.se.
  • Author contributions: X.L., L.B., and P.H. designed research; X.L. and L.B. performed research; X.L. and L.B. analyzed data; and X.L., L.B., and P.H. wrote the paper.

  • The authors declare no conflict of interest.

  • *This Direct Submission article had a prearranged editor.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1203882109/-/DCSupplemental.

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Predictability of population displacement
Xin Lu, Linus Bengtsson, Petter Holme
Proceedings of the National Academy of Sciences Jun 2012, DOI: 10.1073/pnas.1203882109

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Predictability of population displacement
Xin Lu, Linus Bengtsson, Petter Holme
Proceedings of the National Academy of Sciences Jun 2012, DOI: 10.1073/pnas.1203882109
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