Understanding individual human mobility patterns Export

@article{gonzalez:mobility, abstract = {Despite their importance for urban planning1, traffic forecasting2 and the spread of biological3, 4, 5 and mobile viruses6, our understanding of the basic laws governing human motion remains limited owing to the lack of tools to monitor the time-resolved location of individuals. Here we study the trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six-month period. We find that, in contrast with the random trajectories predicted by the prevailing L\'{e}vy flight and random walk models7, human trajectories show a high degree of temporal and spatial regularity, each individual being characterized by a time-independent characteristic travel distance and a significant probability to return to a few highly frequented locations. After correcting for differences in travel distances and the inherent anisotropy of each trajectory, the individual travel patterns collapse into a single spatial probability distribution, indicating that, despite the diversity of their travel history, humans follow simple reproducible patterns. This inherent similarity in travel patterns could impact all phenomena driven by human mobility, from epidemic prevention to emergency response, urban planning and agent-based modelling.}, author = {Gonzalez, Marta C. and Hidalgo, Cesar A. and Barabasi, Albert L.}, citeulike-article-id = {2862276}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nature06958}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nature06958}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/18528393}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=18528393}, citeulike-linkout-4 = {http://www.barabasilab.com/pubs/CCNR-ALB_Publications/200806-05_Nature-MobilityPatterns/200806-05_Nature-MobilityPatterns-SuppMat13.pdf}, day = {05}, doi = {10.1038/nature06958}, issn = {0028-0836}, journal = {Nature}, keywords = {ethics, mobile-phones, mobility, privacy, pvnets, surveillance, tracking}, month = {June}, number = {7196}, pages = {779--782}, posted-at = {2008-06-17 12:06:47}, priority = {5}, publisher = {Nature Publishing Group}, title = {Understanding individual human mobility patterns}, url = {http://dx.doi.org/10.1038/nature06958}, volume = {453}, year = {2008} }

TY - JOUR ID - gonzalez:mobility L3 - citeulike-article-id:2862276 N2 - Despite their importance for urban planning1, traffic forecasting2 and the spread of biological3, 4, 5 and mobile viruses6, our understanding of the basic laws governing human motion remains limited owing to the lack of tools to monitor the time-resolved location of individuals. Here we study the trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six-month period. We find that, in contrast with the random trajectories predicted by the prevailing Lévy flight and random walk models7, human trajectories show a high degree of temporal and spatial regularity, each individual being characterized by a time-independent characteristic travel distance and a significant probability to return to a few highly frequented locations. After correcting for differences in travel distances and the inherent anisotropy of each trajectory, the individual travel patterns collapse into a single spatial probability distribution, indicating that, despite the diversity of their travel history, humans follow simple reproducible patterns. This inherent similarity in travel patterns could impact all phenomena driven by human mobility, from epidemic prevention to emergency response, urban planning and agent-based modelling. IS - 7196 JF - Nature SN - 0028-0836 EP - 782 TI - Understanding individual human mobility patterns PB - Nature Publishing Group VL - 453 SP - 779 KW - ethics KW - mobile-phones KW - mobility KW - privacy KW - pvnets KW - surveillance KW - tracking AU - Gonzalez, Marta AU - Hidalgo, Cesar AU - Barabasi, Albert PY - 2008/June/05/ UR - http://dx.doi.org/10.1038/nature06958 ER -