Population movement under extreme events
Proceedings of the National Academy of SciencesPublished 9 July 2012Open access
Dror Y. Kenett, Juval Portugali
Citations21
SJR quartileQ1
SJR score3.41
SNIP2.38
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This unique work uses mobile phone use data in Haiti to investigate the population dynamics and displacement as a result of the tragic 2010 earthquake, and allows a study of how population concentrations, which are established in cities, respond to and are affected by ExEvs.
Abstract
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.
Keywords
Social SciencesEnvironmental Science
NatureCatastrophic cascade of failures in interdependent networks
4,376 Citations2010Sergey V. Buldyrev, Roni Parshani +3 more
This work develops a framework for understanding the robustness of interacting networks subject to cascading failures and presents exact analytical solutions for the critical fraction of nodes that, on removal, will lead to a failure cascade and to a complete fragmentation of two interdependent networks.
Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals
733 Citations2007Michael Batty
Proceedings of the National Academy of SciencesPredictability of population displacement after the 2010 Haiti earthquake
627 Citations2012Xin Lü, Linus Bengtsson +1 more
Analysis of the movements of 1.9 million mobile phone users in Haiti and the destinations of people who left the capital during the first three weeks after the earthquake suggest that population movements during disasters may be significantly more predictable than previously thought.
The Professional GeographerCities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals
595 Citations2007J. Scott Spiker
The Physics of Foraging: An Introduction to Random Searches and Biological Encounters
358 Citations2011G. M. Viswanathan, M. G. E. da Luz +2 more
This paper presents empirical motivation for studying movement, the physics of biological motion, and other search models used in adaptation versus emergent superdiffusion, which help clarify the motivation for foraging in albatrosses.
Journal of Visual Languages & ComputingA conceptual framework and taxonomy of techniques for analyzing movement
143 Citations2011Gennady Andrienko, Natalia Andrienko +4 more
A conceptual framework is presented that describes in a systematic and comprehensive way the possible types of information that can be extracted from movement data and on this basis defines the respective types of analytical tasks.
PLoS ONEEvolvement of Uniformity and Volatility in the Stressed Global Financial Village
79 Citations2012Dror Y. Kenett, Matthias Raddant +2 more
The methodological framework presented here provides a way to quantify the evolvement of interdependencies in the global market, evaluate a world financial network and quantify changes in the world inter market relations.
Trends in Ecology & EvolutionSpatial dispersal of species
10 Citations1988J. D. Murray
This work has unearthed interesting new phenomena which have been proposed as explanations for many long-standing ecological problems involving spatial movement and heterogeneity of species.
International Journal of Geographical Information SystemsUsing space–time visual analytic methods for exploring the dynamics of ethnic groups' residential patterns
8 Citations2010Itzhak Omer, Peter Michael Bak +1 more
A methodological framework, based on georeferenced house-level socio-demographic and infrastructure data, is presented for investigating minority (or ethnic) group residential pattern dynamics in cities to help researchers examine how local land-use configurations shape minorities' residential dynamics and, thereby, affect the level of minority–majority segregation.
