Comparing and modelling land use organization in cities

Royal Society Open Science

Volumn 2, Issue 12, 2015, Pages

  Lenormand, Maxime ^a   Picornell, Miguel ^b   Cantú Ros, Oliva G ^b   Louail, Thomas ^c,d   Herranz, Ricardo ^b   Barthelemy, Marc ^c,e   Frías Martínez, Enrique ^f   Miguel, Maxi San ^a   Ramasco, José J ^a  

^a INSTITUTO DE FÍSICA INTERDISCIPLINAR Y SISTEMAS COMPLEJOS IFISC CSIC UIB   (Spain)

^b Nommon Solutions and Technologies SL   (Spain)

^c Centre National de la Recherche Scientifique   (France)

^d Associé à l'UMR 8504   (France)

^e ÉCOLE DES HAUTES ÉTUDES EN SCIENCES SOCIALES   (France)

^f TELEFONICA RESEARCH   (Spain)

Author keywords

Call detail record; Human mobility; Land use; Network; Population distribution

Indexed keywords

EID: 84958069194     PISSN: None     EISSN: 20545703     Source Type: Journal    
DOI: 10.1098/rsos.150449     Document Type: Article

References (55)

1. Humphries C. 2012 The science of cities: life in the concrete jungle. Nature 491, 514-515. (doi: 10. 1038/491514a).
2. Sallis JF, Saelens BE, Frank LD, Conway TL, Slymen DJ, Cain KL, Chapman JE, Kerr J. 2009 Neighborhood built environment and income: examining multiple health outcomes. Soc. Sci. Med. 68, 1285-1293. (doi: 10. 1016/j. socscimed. 2009. 01. 017).
3. Badoe D, Miller E. 2000 Transportation-land-use interactions: empirical findings and implications for modeling. Transport. Res. D: Transp. Environ. 5, 235-263. (doi: 10. 1016/S1361-9209(99)00036-X).
4. Cervero R. 2002 Built environments and mode choice: toward a normative framework. Transport. Res. D: Transp. Environ. 7, 265-284. (doi: 10. 1016/S1361-9209(01)00024-4).
5. Krygsman S, Dijst M, Arentze T. 2004 Multimodal public transport: an analysis of travel time elements and the interconnectivity ratio. Transp. Policy 11, 265-275. (doi: 10. 1016/j. tranpol. 2003. 12. 001).
6. Tsai Y-H. 2005 Quantifying urban form: compactness versus "sprawl". Urban Stud. 42, 141-161. (doi: 10. 1080/0042098042000309748).
7. Cervero R, Kockelman K. 1997 Travel demand and the 3Ds: density, diversity, and design. Transp. Res. D: Transp. Environ. 2, 199-219. (doi: 10. 1016/ S1361-9209(97)00009-6).
8. Waddell P, Ulfarsson GF, Franklin JP, Lobb J. 2007 Incorporating land use in metropolitan transportation planning. Transp. Res. A: Policy Pract. 41, 382-410. (doi: 10. 1016/j. tra. 2006. 09. 008).
9. Bartholomew K. 2007 Land use-transportation scenario planning: promise and reality. Transportation 34, 397-412. (doi: 10. 1007/s11116-006-9108-2).
10. Donnay JP, Unwin D. 2001 Modeling geographical distribution in urban areas. In Remote sensing and urban analysis (eds JP Donnay, MJ Barnsley, PA Longley), pp. 205-224. New York, NY: Taylor & Francis.
11. Yang X, Lo CP. 2002 Sing a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. Int. J. Remote Sens. 23, 1775-1798. (doi: 10. 1080/01431160110075802).
12. Geurs KT, vanWee B. 2004 Accessibility evaluation of land-use and transport strategies: review and research directions. J. Transp. Geogr. 12, 127-140. (doi: 10. 1016/j. jtrangeo. 2003. 10. 005).
13. Wu S, Xu B, Wang L. 2006 Urban land use classification using variogram-based analysis with aerial photographs. Photogramm. Eng. Remote Sens. 72, 812-822. (doi: 10. 14358/PERS. 72. 7. 813).
14. Frías-Martínez V, Soto V, Hohwald H, Frías-Martínez E. 2012 Characterizing urban landscapes using geolocated tweets. In SOCIALCOM-PASSAT '12 Proc. 2012 ASE/IEEE Int. Conf. on Social Computing and 2012 ASE/IEEE Int. Conf. on Privacy, Security, Risk and Trust, Amsterdam, The Netherlands, 3-5 September 2012, pp. 239-248. Piscataway, NJ: IEEE Computer Society. (doi: 10. 1109/SocialCom-PASSAT. 2012. 19).
15. Hu S, Wang L. 2013 Automated urban land-use classification with remote sensing. Int. J. Remote Sens. 34, 790-803. (doi: 10. 1080/01431161. 2012. 714510).
16. Reades J, Calabrese F, Sevtsuk A, Ratti C. 2007 Cellular census: explorations in urban data collection. IEEE Pervasive Comput. 6, 30-38. (doi: 10. 1109/MPRV. 2007. 53).
17. Gonzalez MC, Hidalgo CA, Barabasi A-L. 2008 Understanding individual human mobility patterns. Nature 453, 779-782. (doi: 10. 1038/nature 06958).
18. Reades J, Calabrese F, Ratti C. 2009 Eigenplaces: analysing cities using the space-time structure of the mobile phone network. Environ. Plan. B, Plan. Des. 36, 824-836. (doi: 10. 1068/b34133t).
19. Soto V, Frías-Martínez E. 2011 Automated land use identification using cell-phone records. In HotPlanet11 Proc. 3rd ACM Int. Workshop on MobiArch, pp. 17-22. New York, NY: ACM. (doi: 10. 1145/2000172. 2000179).
20. Toole JL, Ulm M, González MC, Bauer D. 2012 Inferring land use from mobile phone activity. In Proc. ACM SIGKDD Int. Workshop on Urban Computing, Beijing, China, 12-16 August 2012, pp. 1-8. NewYork, NY: ACM. (doi: 10. 1145/ 2346496. 2346498).
21. Noulas A, Mascol C, Frías-Martínez E. 2013 Exploiting foursquare and cellular data to infer user activity in urban environments. In Proc. IEEE 14th Int. Conf. on Mobile Data Management, Milan, Italy, 3-6 June 2013, pp. 167-176. Piscataway, NJ: IEEE Computer Society. (doi: 10. 1109/MDM. 2013. 27).
22. Pei T, Sobolevsky S, Ratti C, Shaw SL, Zhou C. 2014 A new insight into land use classification based on aggregated mobile phone data. Int. J. Geogr. Inf. Sci. 28, 1988-2007. (doi: 10. 1080/13658816. 2014. 913794).
23. Grauwin S, Sobolevsky S, Moritz S, Godor I, Ratti C. 2015 Towards a comparative science of cities: using mobile traffic records in New York, London and Hong Kong. InComputational approaches for urban environments (edsM Helbich, J Jokar Arsanjani, M Leitner). Geotechnologies and the Environment, vol. 13. Cham, Switzerland: Springer International. (doi: 10. 1007/978-3-319-11469-9_15).
24. Frías-Martínez V, Soto V, Sanchez A, Frías-Martínez E. 2014 Consensus clustering for urban land use analysis using cell phone network data. Int. J. AdHoc Ubiquitous Comput. 17, 39-58. (doi: 10. 1504/ IJAHUC. 2014. 065157).
25. Frías-Martínez V, Frías-Martínez E. 2014 Spectral clustering for sensing urban land use using twitter activity. Eng. Appl. Artif. Intell. 35, 237-245. (doi: 10. 1016/j. engappai. 2014. 06. 019).
26. Lenormand M, Picornell M, Tugores A, Louail T, Herranz R, Barthelemy M, Frías-Martínez E, Ramasco JJ. 2014 Cross-checking different source of mobility information. PLoS ONE 9, e105184. (doi: 10. 1371/journal. pone. 0105184).
27. Louail T, Lenormand M, Picornell M, Herranz R, Frías-Martínez E, Ramasco JJ, Barthelemy M. 2014 From mobile phone data to the spatial structure of cities. Sci. Rep. 4, 5276. (doi: 10. 1038/srep05276).
28. Deville P, Linard C, Martin S, Gilbert M, Stevens FR, Gaughan AE, Blondel VD, Tatem AJ. 2014 Dynamics population mapping usingmobile phone data. Proc. Natl Acad. Sci. USA 111, 15 888-15 893. (doi: 10. 1073/ pnas. 1408439111).
29. Louail T, Lenormand M, Picornell M, Herranz R, Frías-Martínez E, Ramasco JJ, Barthelemy M. 2015 Uncovering the spatial structure of mobility networks. Nat. Commun. 6, 6007. (doi: 10. 1038/ ncomms7007).
30. Gonçalves B, Sánchez D. 2014 Crowdsourcing dialect characterization through Twitter. PLoS ONE 9, e112074. (doi: 10. 1371/journal. pone. 0112074).
31. Llorente A, García-Herranz M, Cebrian M, Moro E. 2014 Social media fingerprints of unemployment. (http: //arxiv. org/abs/1411. 3140).
32. Hawelka B, Sitko I, Beinat E, Sobolevsky S, Kazakopoulos P, Ratti C. 2014 Geo-located Twitter as a proxy for global mobility patterns. Cartogr. Geogr. Inf. Sci. 41, 260-271. (doi: 10. 1080/15230406. 2014. 890072).
33. Lenormand M, Tugores A, Colet P, Ramasco JJ. 2014 Tweets on the road. PLoS ONE 9, e105407. (doi: 10. 1371/journal. pone. 0105407).
34. Lenormand M, Gonçalves B, Tugores A, Ramasco JJ. 2015 Human diffusion and city influence. (http: //arxiv. org/abs/1501. 07788).
35. Lenormand M, Louail T, Cant-Ros OG, Picornell M, Herranz R, Murillo Arias J, BarthelemyM, San Miguel M, Ramasco JJ. 2015 Influence of sociodemographic characteristics on human mobility. Sci. Rep. 5, 10075. (doi: 10. 1038/srep10075).
36. Tizzoni M, Bajardi P, Decuyper A, Kon Kam King G, Schneider CM, Blondel V, Smoreda Z, Gonzlez MC, Colizza V. 2014 On the use of human mobility proxy for the modeling of epidemics. PLoS Comput. Biol. 10, e1003716. (doi: 10. 1371/journal. pcbi. 1003716).
37. Bettencourt L, Lobo J, Helbing D, Kuhnert C, West G. 2007 Growth, innovation, scaling, and the pace of life in cities. Proc. Natl Acad. Sci. USA 104, 7301-7306. (doi: 10. 1073/pnas. 0610172104).
38. Batty M. 2008 The size, scale, and shape of cities. Science 319, 769-771. (doi: 10. 1126/science. 115 1419).
39. Bettencourt L. 2013 The origins of scaling in cities. Science 340, 1438-1441. (doi: 10. 1126/science. 1235823).
40. Bettencourt L, West G. 2010 A unified theory of urban living. Nature 467, 912-913. (doi: 10. 1038/467912a).
41. Batty M. 2013 The new science of cities. Boston, MA: MIT Press.
42. Arcaute E, Hatna E, Ferguson P, Youn H, Johansson A, Batty M. 2015 Constructing cities, deconstructing scaling laws. J. R. Soc. Interface 12, 20140745. (doi: 10. 1098/rsif. 2014. 0745).
43. Alves LGA, Ribeiro HV, Lenzi EK, Mendes RS. 2013 Distance to the scaling law: a useful approach for unveiling relationships between crime and urban metrics. PLoS ONE 8, e69580. (doi: 10. 1371/journal. pone. 0069580).
44. Makse HA, Andrade JS, Batty M, Havlin S, Stanley HE. 1998 Modeling urban growth patterns with correlated percolation. Phys. Rev. E 58, 7054-7062. (doi: 10. 1103/PhysRevE. 58. 7054).
45. Louf R, BarthelemyM. 2013 Modeling the polycentric transition of cities. Phys. Rev. Lett. 111, 198702. (doi: 10. 1103/PhysRevLett. 111. 198702).
46. Louf R, Barthelemy M. 2014 How congestion shapes cities: from mobility patterns to scaling. Sci. Rep. 4, 5561. (doi: 10. 1038/srep05561).
47. Louf R, Barthelemy M. 2014 Scaling: lost in the smog. Environ. Plan. B, Plan. Des. 41, 767-769. (doi: 10. 1068/b4105c).
48. Rosvall M, Bergstrom CT. 2008 Maps of random walks on complex networks reveal community structure. Proc. Natl Acad. Sci. USA 105, 1118-1123. (doi: 10. 1073/pnas. 0706851105).
49. Ripley BD. 1976 The second-order analysis of stationary point processes. J. Appl. Prob. 13, 255-266. (doi: 10. 2307/3212829).
50. Wilson AG. 1969 The use of entropy maximising models, in the theory of trip distribution, mode split and route split. J. Trans. Econ. Policy 3, 108-126. (doi: 10. 2307/20052128).
51. Decraene J, Monterola C, Lee GKK, Hung TGG, Batty M. 2013 The emergence of urban land use patterns driven by dispersion and aggregation mechanisms. PLoS ONE 3, e80309. (doi: 10. 1371/journal. pone. 0080309).
52. Schelling T. 1971 Dynamic models of segregation. J. Math. Sociol. 1, 143-186. (doi: 10. 1080/0022250X. 1971. 9989794).
53. Krugman P. 1996 The self-organizing economy. Cambridge, MA: Blackwell.
54. Feng X, Levinson D. 2011 Evolving transportation networks. New York, NY: Springer Science & Business Media.
55. Roth C, Kang SM, Batty M, Barthelemy M. 2011 Structure of urban movements: polycentric activity and entangled hierarchical flows. PLoS ONE 6, e15923. (doi: 10. 1371/journal. pone. 0015923).