A universal model for mobility and migration patterns

被引:1008
作者
Simini, Filippo [1 ,2 ,3 ,4 ,5 ]
Gonzalez, Marta C. [6 ]
Maritan, Amos [3 ,4 ]
Barabasi, Albert-Laszlo [1 ,2 ,7 ,8 ]
机构
[1] Northeastern Univ, Ctr Complex Network Res, Boston, MA 02115 USA
[2] Northeastern Univ, Dept Phys Biol & Comp Sci, Boston, MA 02115 USA
[3] Univ Padua, Dipartimento Fis G Galilei, CNISM, I-35131 Padua, Italy
[4] Ist Nazl Fis Nucl, I-35131 Padua, Italy
[5] Budapest Univ Technol & Econ, Inst Phys, H-1111 Budapest, Hungary
[6] MIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USA
[7] Dana Farber Canc Inst, Ctr Canc Syst Biol, Boston, MA 02115 USA
[8] Harvard Univ, Sch Med, Brigham & Womens Hosp, Dept Med, Boston, MA 02115 USA
关键词
INTERVENING OPPORTUNITIES; NETWORK; GROWTH; TRADE;
D O I
10.1038/nature10856
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Introduced in its contemporary form in 1946 (ref. 1), but with roots that go back to the eighteenth century(2), the gravity law(1,3,4) is the prevailing framework with which to predict population movement(3,5,6), cargo shipping volume(7) and inter-city phone calls(8,9), as well as bilateral trade flows between nations(10). Despite its widespread use, it relies on adjustable parameters that vary from region to region and suffers from known analytic inconsistencies. Here we introduce a stochastic process capturing local mobility decisions that helps us analytically derive commuting and mobility fluxes that require as input only information on the population distribution. The resulting radiation model predicts mobility patterns in good agreement with mobility and transport patterns observed in a wide range of phenomena, from long-term migration patterns to communication volume between different regions. Given its parameter-free nature, the model can be applied in areas where we lack previous mobility measurements, significantly improving the predictive accuracy of most of the phenomena affected by mobility and transport processes(11-23).
引用
收藏
页码:96 / 100
页数:5
相关论文
共 30 条
[1]  
[Anonymous], 1960, Random orderings and stochastic theories of response
[2]  
[Anonymous], 1990, The gravity model in transportation analysis: theory and extensions
[3]   Multiscale mobility networks and the spatial spreading of infectious diseases [J].
Balcan, Duygu ;
Colizza, Vittoria ;
Goncalves, Bruno ;
Hu, Hao ;
Ramasco, Jose J. ;
Vespignani, Alessandro .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (51) :21484-21489
[4]   Spatial networks [J].
Barthelemy, Marc .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2011, 499 (1-3) :1-101
[5]   The size, scale, and shape of cities [J].
Batty, Michael .
SCIENCE, 2008, 319 (5864) :769-771
[6]   Growth, innovation, scaling, and the pace of life in cities [J].
Bettencourt, Luis M. A. ;
Lobo, Jose ;
Helbing, Dirk ;
Kuehnert, Christian ;
West, Geoffrey B. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (17) :7301-7306
[7]   The role of the airline transportation network in the prediction and predictability of global epidemics [J].
Colizza, V ;
Barrat, A ;
Barthélemy, M ;
Vespignani, A .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (07) :2015-2020
[8]   Modelling disease outbreaks in realistic urban social networks [J].
Eubank, S ;
Guclu, H ;
Kumar, VSA ;
Marathe, MV ;
Srinivasan, A ;
Toroczkai, Z ;
Wang, N .
NATURE, 2004, 429 (6988) :180-184
[9]   Uncovering space-independent communities in spatial networks [J].
Expert, Paul ;
Evans, Tim S. ;
Blondel, Vincent D. ;
Lambiotte, Renaud .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (19) :7663-7668
[10]   Strategies for mitigating an influenza pandemic [J].
Ferguson, Neil M. ;
Cummings, Derek A. T. ;
Fraser, Christophe ;
Cajka, James C. ;
Cooley, Philip C. ;
Burke, Donald S. .
NATURE, 2006, 442 (7101) :448-452