The impact of social segregation on human mobility in developing and industrialized regions

Springer Science and Business Media LLC - Tập 3 - Trang 1-20 - 2014
Alexander Amini1, Kevin Kung1, Chaogui Kang1, Stanislav Sobolevsky1, Carlo Ratti1
1SENSEable City Laboratory, Massachusetts Institute of Technology, Cambridge, USA

Tóm tắt

This study leverages mobile phone data to analyze human mobility patterns in a developing nation, especially in comparison to those of a more industrialized nation. Developing regions, such as the Ivory Coast, are marked by a number of factors that may influence mobility, such as less infrastructural coverage and maturity, less economic resources and stability, and in some cases, more cultural and language-based diversity. By comparing mobile phone data collected from the Ivory Coast to similar data collected in Portugal, we are able to highlight both qualitative and quantitative differences in mobility patterns - such as differences in likelihood to travel, as well as in the time required to travel - that are relevant to consideration on policy, infrastructure, and economic development. Our study illustrates how cultural and linguistic diversity in developing regions (such as Ivory Coast) can present challenges to mobility models that perform well and were conceptualized in less culturally diverse regions. Finally, we address these challenges by proposing novel techniques to assess the strength of borders in a regional partitioning scheme and to quantify the impact of border strength on mobility model accuracy.

Tài liệu tham khảo

Robertson C, Sawford K, Daniel SL, Nelson TA, Stephen C: Mobile phone-based infectious disease surveillance system, Sri Lanka. Emerg Infect Dis 2010., 16(10): Article ID 1524 Article ID 1524 Gonzalez MC, Hidalgo CA, Barabasi A-L: Understanding individual human mobility patterns. Nature 2008, 453(7196):779–782. 10.1038/nature06958 Ratti C, Williams S, Frenchman D, Pulselli R: Mobile landscapes: using location data from cell phones for urban analysis. Environ Plan B, Plan Des 2006., 33(5): Article ID 727 Article ID 727 Reades J, Calabrese F, Ratti C: Eigenplaces: analysing cities using the space-time structure of the mobile phone network. Environ Plan B, Plan Des 2009, 36(5):824–836. 10.1068/b34133t Simini F, González MC, Maritan A, Barabási A-L: A universal model for mobility and migration patterns. Nature 2012, 484(7392):96–100. 10.1038/nature10856 Kang C, Sobolevsky S, Liu Y, Ratti C: Exploring human movements in singapore: a comparative analysis based on mobile phone and taxicab usages. In Proceedings of the 2nd ACM SIGKDD international workshop on urban computing. ACM, New York; 2013:1. Blondel VD, Esch M, Chan C, Clerot F, Deville P, Huens E, Morlot F, Smoreda Z, Ziemlicki C (2012) Data for development: the d4d challenge on mobile phone data. Preprint arXiv:1210.0137 Eagle N: Behavioral inference across cultures: using telephones as a cultural lens. IEEE Intell Syst 2008, 23(4):62–64. Eagle N, de Montjoye Y, Bettencourt LM: Community computing: comparisons between rural and urban societies using mobile phone data. International conference on computational science and engineering, vol 4, 2009. CSE’09 2009, 144–150. IEEE IEEE Ahas R, Aasa A, Mark Ü, Pae T, Kull A: Seasonal tourism spaces in Estonia: case study with mobile positioning data. Tour Manag 2007, 28(3):898–910. 10.1016/j.tourman.2006.05.010 Berlingerio M, Calabrese F, Di Lorenzo G, Nair R, Pinelli F, Sbodio ML: Allaboard: a system for exploring urban mobility and optimizing public transport using cellphone data. Proceedings of the third international conference on the analysis of mobile phone datasets (NetMob) 2013. Liu F, Janssens D, Wets G, Cools M: Profiling workers’ activity-travel behavior based on mobile phone data. Proceedings of the third international conference on the analysis of mobile phone datasets (NetMob) 2013. Zilske M, Nagel K: Building a minimal traffic model from mobile phone data. Proceedings of the third international conference on the analysis of mobile phone datasets (NetMob) 2013. Naboulsi D, Fiore M, Stanica R, et al.: Human mobility flows in the city of Abidjan. 3rd international conference on the analysis of mobile phone datasets 2013. Yan X-Y, Zhao C, Wang W: Predicting human mobility patterns in cities. 3rd international conference on the analysis of mobile phone datasets 2013. AfriPop: Cote D’Ivoire. http://www.clas.ufl.edu/users/atatem/index_files/CIV.htm Portal do Instituto Nacional de Estatística. http://www.ine.pt Voronoï G: Nouvelles applications des paramètres continus à la théorie des formes quadratiques. Deuxième mémoire. Recherches sur les parallélloèdres primitifs. J Reine Angew Math 1908, 134: 198–287. Ratti C, Sobolevsky S, Calabrese F, Andris C, Reades J, Martino M, Claxton R, Strogatz SH: Redrawing the map of Great Britain from a network of human interactions. PLoS ONE 2010., 5(12): Article ID 14248 Article ID 14248 Expert P, Evans TS, Blondel VD, Lambiotte R: Uncovering space-independent communities in spatial networks. Proc Natl Acad Sci USA 2011, 108(19):7663–7668. 10.1073/pnas.1018962108 Calabrese F, Dahlem D, Gerber A, Paul D, Chen X, Rowland J, Rath C, Ratti C: The connected states of America: quantifying social radii of influence. 2011 IEEE third international conference on privacy, security, risk and trust (passat) and 2011 IEEE third international conference on social computing (socialcom) 2011, 223–230. IEEE IEEE Sobolevsky S, Szell M, Campari R, Couronné T, Smoreda Z, Ratti C: Delineating geographical regions with networks of human interactions in an extensive set of countries. PLoS ONE 2013., 8(12): Article ID 81707 Article ID 81707 Sobolevsky S: Digitale ansätze für eine regionale abgrenzung. Bauwelt fundamente 150. In Die stadt entschlüsseln: wie echtzeitdaten den urbanismus verändern. Edited by: Offenhuber D, Ratti C. Birkhäuser, Basel; 2013. Newman ME: Modularity and community structure in networks. Proc Natl Acad Sci USA 2006, 103(23):8577–8582. 10.1073/pnas.0601602103 Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E: Fast unfolding of communities in large networks. J Stat Mech Theory Exp 2008., 2008(10): Article ID 10008 Article ID 10008 Le Martelot E, Hankin C: Multi-scale community detection using stability as optimisation criterion in a greedy algorithm. KDIR 2011, 216–225. Newman ME: Finding community structure in networks using the eigenvectors of matrices. Phys Rev E 2006., 74(3): Article ID 036104 Article ID 036104 Lancichinetti A, Fortunato S: Community detection algorithms: a comparative analysis. Phys Rev E 2009., 80(5): Article ID 056117 Article ID 056117 Sobolevsky S, Campari R, Belyi A, Ratti C (2013) A general optimization technique for high quality community detection in complex networks. Preprint arXiv:1308.3508 Wallace DL: Comment. J Am Stat Assoc 1983, 78(383):569–576. Rand WM: Objective criteria for the evaluation of clustering methods. J Am Stat Assoc 1971, 66(336):846–850. 10.1080/01621459.1971.10482356 Jaccard P: Étude comparative de la distribution florale dans une portion des alpes et des jura. Bull Soc Vaud Sci Nat 1901, 37: 547–579. Fowlkes EB, Mallows CL: A method for comparing two hierarchical clusterings. J Am Stat Assoc 1983, 78(383):553–569. 10.1080/01621459.1983.10478008 Heckerman D, Meila M (1998) An experimental comparison of several clustering and initialization methods. Technical report, Citeseer Hubert L, Arabie P: Comparing partitions. J Classif 1985, 2(1):193–218. 10.1007/BF01908075 Larsen B, Aone C: Fast and effective text mining using linear-time document clustering. In Proceedings of the fifth ACM SIGKDD international conference on knowledge discovery and data mining. ACM, New York; 1999:16–22. Onnela J-P, Arbesman S, González MC, Barabási A-L, Christakis NA: Geographic constraints on social network groups. PLoS ONE 2011., 6(4): Article ID 16939 Article ID 16939 Cote d’Ivoire - Encyclopedia Britannica Academic Edition Inc. http://www.britannica.com/EBchecked/topic/139651/Cote-dIvoire Swanson DA, Tayman J, Bryan T: Mape-r: a rescaled measure of accuracy for cross-sectional subnational population forecasts. J Popul Res 2011, 28(2–3):225–243. 10.1007/s12546-011-9054-5 Ravenstein EG: The laws of migration. J Stat Soc 1885, 48(2):167–235. Tayman J, Swanson DA: On the validity of mape as a measure of population forecast accuracy. Popul Res Policy Rev 1999, 18(4):299–322. 10.1023/A:1006166418051 Masucci AP, Serras J, Johansson A, Batty M: Gravity versus radiation models: on the importance of scale and heterogeneity in commuting flows. Phys Rev E 2013., 88(2): Article ID 022812 Article ID 022812