Data from mobile phone operators: A tool for smarter cities?

Telecommunications Policy

Volumn 39, Issue 3-4, 2015, Pages 335-346

  Steenbruggen, John ^a   Tranos, Emmanouil ^b   Nijkamp, Peter ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Mobile phone data; Smart cities; Urban management

Indexed keywords

CELLULAR TELEPHONES; MOBILE PHONES; SMART CITY; TELEPHONE SETS; URBAN PLANNING;

COMMUNICATION TOOLS; EMPIRICAL STUDIES; MOBILE PHONE DATUM; MOBILE PHONE OPERATORS; SPATIO TEMPORAL; URBAN DYNAMICS; URBAN MANAGEMENT; URBAN SYSTEMS;

CELLULAR TELEPHONE SYSTEMS;

EID: 84927804562     PISSN: 03085961     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.telpol.2014.04.001     Document Type: Article

References (157)

1. R. Ahas, A. Aasa, Ü. Mark, T. Pae, and T. Kull Seasonal tourism spaces in Estonia: Case study with mobile positioning data Tourism Management 28 3 2006 898 910
2. R. Ahas, A. Aasa, A. Roosea, Ü. Mark, and S. Silma Evaluating passive mobile positioning data for tourism surveys: An Estonian case study Tourism Management 29 3 2007 469 486
3. R. Ahas, A. Aasa, S. Silm, R. Aunap, H. Kalle, and Ü. Mark Mobile Positioning in space-time behavior studies: Social positioning method experiments in Estonia Cartography and Geographic Information Science 34 4 2007 259 273
4. R. Ahas, A. Aasa, S. Silm, and M. Tiru Mobile positioning data in tourism studies and monitoring: Case study in Tartu, Estonia M. Sigala, L. Mich, J. Murphy, Springer computer science: Information and communication technologies in tourism 2007 Springer Vienna 119 128
5. R. Ahas, and Ü. Mark Location based services - New challenges for planning and public administration? Futures 37 2005 547 561
6. R. Ahas, Ü. Mark, O. Järv, and M. Nuga Mobile positioning in sustainability studies: Social positioning method in studying commuter's activity spaces in Tallinn U. Mander, C.A. Brebbia, E. Tiezzi, The sustainable city IV. Urban regeneration and sustainability 2006 WIT Press Southampton, Boston
7. R. Ahas, E. Saluveer, M. Tiru, and S. Silm Mobile positioning based tourism monitoring system: Positium barometer P. O'Connor, W. Höpken, U. Gretzel, Computer science: Information and communication technologies in tourism 2008 Springer Berlin 475 485
8. R. Ahas, S. Silm, O. Järv, E. Saluveer, and M. Tiru Using mobile positioning data to model locations meaningful to users of mobile phones Journal of Urban Technology 17 1 2010 3 27
9. R. Ahas, S. Silm, E. Saluveer, and O. Järv Modelling home and work locations of populations using passive mobile positioning data G. Gartner, K. Rehrl, Location based services and telecartography II: From sensor fusion to context models 2008 301 315
10. Amini, A., Kung, K., Kang, C., Sobolevsky, S., & Ratti, C. (2014). The impact of social segregation on human mobility in developing and urbanized regions. arXiv preprint arXiv:1401.5743.
11. D. Arribas-Bel Accidental, open and everywhere: Emerging data sources for the understanding of cities Applied Geography 49 2014 45 53
12. J.P. Bagrow, D. Wang, and A. -L. Barabási Collective response of human populations to large-scale emergencies PLoS ONE 6 3 2011 e17680 10.1371/journal.pone.0017680
13. A. -L. Barabási The origin of bursts and heavy tails in human dynamics Nature 435 2005 207 211
14. A. -L. Barabási The architecture of complexity: From network structure to human dynamics IEEE Control Systems Magazine 27 2007 33 42
15. A. -L. Barabási We are at the threshold of understanding complexity, 12 scientists on the 21st Century World Science Forum, Budapest 2009 2009 19 26
16. M. Batty The computable city International Planning Studies 2 1995 155 173
17. M. Batty Virtual geography Futures 29 1997 337 352
18. M. Batty The pulse of the city Environment and Planning B: Planning and Design 37 2010 575 577
19. M.A. Bayir, M. Demirbasa, and N. Eagle Mobility profiler: A framework for discovering mobility profiles of cell phone users Pervasive and Mobile Computing 6 2010 435 454
20. R.A. Becker, R. Cáceres, K. Hanson, S. Isaacman, J.M. Loh, and M. Martonosi et al. Human mobility characterization from cellular network data Communications of the ACM 56 1 2013 74 82
21. R.A. Becker, R. Caceres, K. Hanson, J.M. Loh, S. Urbanek, and A. Varshavsky et al. A tale of one city: Using cellular network data for urban planning Pervasive Computing 10 4 2011 18 26
22. V.D. Blondel, J.L. Guillaume, R. Lambiotte, and E. Lefebvre Fast unfolding of communities in large networks Journal of Statistical Mechanics: Theory and Experiment 10 2008 P10008
23. V.D. Blondel, G. Krings, and I. Thomas Regions and borders of mobile telephony in Belgium and in the Brussels metropolitan zone e-journal for Academic Research on BRUSSELS 2031-0293 42 2010
24. F. Calabrese Using cell-phone data to understand urban dynamics in the city of Amsterdam 2008 MIT SENSEable City Laboratory Publication
25. F. Calabrese Urban sensing using mobile phone network data. Ubicomp 2011 Tutorial. Smarter cities technology centre 2011 IBM Research
26. F. Calabrese, M. Colonna, P. Lovisolo, D. Parata, and C. Ratti Real-time urban monitoring using cell phones: A case study in Rome IEEE Transactions on Intelligent Transportation Systems 12 1 2011 141 151
27. F. Calabrese, K. Kloeckl, and C. Ratti WIKICITY: Real-time urban environments 2007 MIT Publication
28. Calabrese, F., Pereira, F., Di Lorenzo, G., Liu, L., & Ratti, C. (2010). The geography of taste: Analyzing cell-phone mobility and social events. In Proceedings of international conference on pervasive computing.
29. F. Calabrese, and C. Ratti Note on real-time Rome Networks and Communication Studies NETCOM 20 2006 3 4
30. F. Calabrese, Z. Smoreda, V. Blondel, and C. Ratti Interplay between telecommunications and face-to-face interactions - A study using mobile phone data PLoS ONE 6 7 2011 e208814
31. J. Candia, M.C. Gonzalez, P. Wang, T. Schoenharl, G. Madey, and A.L. Barabási Uncovering individual and collective human dynamics from mobile phone records Journal of Physics A: Mathematical and Theoretical 41 22 2008 1 16
32. A. Caragliu, C. Del Bo, and P. Nijkamp Smart cities in Europe Journal of Urban Technology 18 2 2011 65 82
33. J. Carrasco, B. Hogan, B. Wellman, and E.J. Miller Collecting social network data to study social activity-travel behaviour: An egocentric approach 2006 University of Toronto Toronto
34. F.J. Carrillo Knowledge cities 2006 Elsevier Inc Oxford
35. M. Castells The rise of the network society 1996 Blackwell Oxford
36. B.C. Csáji, A. Browet, V.A. Traag, J.C. Delvenne, E. Huens, and P. Van Dooren et al. Exploring the mobility of mobile phone users Physica A: Statistical Mechanics and its Applications 392 6 2013 1459 1473
37. De Jonge, E., Pelt, M. van, & Roos, M. (2012). Time patterns, geospatial clustering and mobility statistics based on mobile phone network data. In Paper for the federal committee on statistical methodology research conference. Washington, USA.
38. M. Dijst Two-earner families and their action spaces: A case study of two Dutch communities GeoJournal 4 3 1999 195 206
39. J. Downey, and J. McGuigan Technocities 1999 SAGE Publications Ltd London
40. W.H. Dutton Wired cities: Shaping the future of communications 1987 Macmillan London
41. Eagle, N., de Montjoye, Y., & Bettencourt, L. M. (2009). Community computing: Comparisons between rural and urban societies using mobile phone data. In Proceedings of international conference on computational science and engineering, CSE'09 (pp. 144-150), Vol. 4. IEEE.
42. N. Eagle, and A. Pentland Reality mining: Sensing complex social systems Personal and Ubiquitius Computing 10 4 2006 255 268
43. N. Eagle, and A. Pentland Eigenbehaviors: Identifying structure in routine Behavioral Ecology and Sociobiology 63 7 2009 1057 1066
44. N. Eagle, A. Pentland, and D. Lazer Inferring friendship network structure by using mobile phone data Proceedings of the National Academy of Sciences 9 36 2009 15274 15278
45. P. Expert, T.S. Evans, V.D. Blondel, and R. Lambiotte Uncovering space-independent communities, in spatial networks Proceedings of the National Academy of Sciences 108 19 2011 7663 7668
46. Flamm, M., & Kaufmann, V. (2006). The concept of personal network of usual places as a tool for analyzing human activity spaces: A quantitative exploration. Paper presented at 6th Swiss transport research conference. Ascona.
47. R. Florida Cities and the creative class 2005 Harper Business New York
48. M. Foth, L. Forlano, C. Satchell, and M. Gibbs 2012 MIT Press Cambridge, Mass
49. Frias-Martinez, V., Soto, V., Virseda, J., & Frias-Martinez, E. (2012). Computing cost-effective census maps from cell phone traces. In Workshop on pervasive urban applications.
50. Frias-Martinez, V., Virseda, J., Rubio, A. & Frias-Martinez, E. (2010). Towards large scale technology impact analyses: Automatic residential localization from mobile phone-call data. In Proceedings of the 4th ACM/IEEE international conference on information and communication technologies and development (p. 11). ACM.
51. Y. -C. Fu Contact diaries: Building archives of actual and comprehensive personal networks Field Methods 19 2 2007 194 217
52. Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanovic, N., Meijers, E. (2007). Smart cities - Ranking of European medium-sized cities. Vienna, UT: Centre of Regional Science. From: Retrieved 18.12.12.
53. F. Girardin, A. Vaccari, A. Gerber, A. Biderman, and C. Ratti Quantifying urban attractiveness from the distribution and density of digital footprints International Journal of Spatial Data Infrastructure Research 2009 4
54. Girardin, F., Vaccari, A., Gerber, A., Biderman, A., & Ratti, C. (2009b). Towards estimating the presence of visitors from the aggregate mobile phone network activity they generate. In Proceedings of international conference on computers in urban planning and urban management.
55. R.G. Golledge Cognition of physical and built environments T. Garling, G. Evans, Environment, cognition and action: A multidisciplinary integrative approach 1990 Oxford University Press New York
56. M.C. González, C.A. Hidalgo, and A.L. Barabási Understanding individual human mobility patterns Nature 453 5 2008 779 782
57. M.C. González, P.G. Lind, and H.J. Herrmann A system of mobile agents to model social networks Physical Review Letters 96 2006 088702
58. S. Graham Cities in the real-time age: The paradigm challenge of telecommunications to the conception and planning of urban space Environment and Planning A 29 1997 105 127
59. S. Graham, and P. Healey Relational concepts of space and place: Issues for planning theory and practice European Planning Studies 7 1997 623 646
60. S. Graham, and S. Marvin Telecommunications and the city 1996 Routledge London and New York
61. S. Graham, and S. Marvin Planning cybercities? Town Planning Review 1 1999 89 114
62. S. Graham, and S. Marvin Splintering urbanism 2001 Routledge London, New York
63. T. Hägerstrand Innovation diffusion as a spatial process 1967 University of Chicago Press Chicago, Illinois, USA
64. S. Hoteit, S. Secci, S. Sobolevsky, C. Ratti, and G. Pujolle Estimating human trajectories and hotspots through mobile phone data Computer Networks 64 2014 296 307
65. W. Huang, Z. Dong, N. Zhao, H. Tian, G. Song, and G. Chen et al. Anchor points seeking of large urban crowd based on the mobile billing data. Advanced data mining and applications Lecture Notes in Computer Science 6440/2010 2010 346 357
66. Isaacman, S., Becker, R., Cáaceres, R., Kobourov, S., Rowland, J., & Varshavsky, A. (2010). A tale of two cities. In Proceedings of 11th ACM workshop on mobile computing systems and applications (HotMobile) (pp. 19-24).
67. Isaacman, S., Becker, R., Cáceres, R., Kobourov, S., Martonosi, M., Rowland, J., et al. (2011a). Identifying important places in peoples lives from cellular network data. In Proceedings of 9th international conference on pervasive computing (pp. 133-151). Berlin Heidelberg, Springer.
68. Isaacman, S., Becker, R., Cáceres, R., Kobourov, S., Martonosi, M., Rowland, J., et al. (2011b). Ranges of human mobility in Los Angeles and new york. In Pervasive computing and communications workshops (PERCOM workshops), IEEE international conference on managing ubiquitous communications and services (pp. 88-93).
69. Isaacman, S., Becker, R., Cáceres, R., Martonosi, M., Rowland, J., Varshavsky, A., et al. (2012). Human mobility modeling at metropolitan scales. In Proceedings of the 10th international conference on mobile systems, applications, and services (pp. 239-252). ACM.
70. ITU (2012). The world in 2011: ICT facts and figures. In .
71. O. Järv, R. Ahas, E. Saluveer, B. Derudder, and F. Witlox Mobile phones in a traffic flow: A geographical perspective to evening rush hour traffic analysis using call detail records PLoS ONE 7 11 2012
72. O. Järv, R. Ahas, and F. Witlox Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records Transportation Research Part C: Emerging Technologies 38 2014 122 135
73. Jiang, S., Ferreira, J., & González, M. (2011). Understanding the link between urban activity destinations and human travel patterns. Paper presented at the computers in urban planning and urban management 2011 conference. Lake Louise, Canada.
74. S. Jiang, J. Ferreira, and M.C. González Clustering daily patterns of human activities in the city Data Mining and Knowledge Discovery 25 3 2012 478 510
75. C. Kang, X. Ma, D. Tong, and Y. Liu Intra-urban human mobility patterns: An urban morphology perspective Physica A: Statistical Mechanics and its Applications 391 2012 1702 1717
76. Kang, C., Sobolevsky, S., Liu, Y., & Ratti, C. (2013). 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 (p. 1). ACM.
77. Kang, J. W., Welbourne, W., Stewart, B., & Borriello, G. (2004). Extracting places from traces of locations. In Proceedings of the 2nd ACM international workshop on wireless mobile applications and services on WLAN hotspots. Philadelphia, PA, USA: ACM Press.
78. Komninos, N. (2006). The architecture of intelligent cities; integrating human, collective, and artificial intelligence to enhance knowledge and innovation. In Proceedings of 2nd international conference on intelligent environments. Athens: Institution of Engineering and Technology.
79. N. Komninos Intelligent cities and globalisation of innovation networks 2008 Routledge Abingdon
80. G. Krings, F. Calabrese, C. Ratti, and V.D. Blondel Urban gravity: A model for inter-city telephone communication networks Journal of Statistical Mechanics: Theory and Experiment L07003 2009
81. A. Kuusik, R. Ahas, and M. Tiru Analysing repeat visitation on country level with passive mobile positioning method: An Estonia case study 2008 University of Tartu Positium LBS
82. A. Kuusik, R. Ahas, and M. Tiru The ability of tourism events to generate destination loyalty towards the country: an Estonian case study Discussions on Estonian Economic Policy 2010 18
83. M. -P. Kwan Mobile communications, social networks, and urban travel: Hypertext as a new metaphor for conceptualizing spatial interaction Professional Geographer 59 4 2007 434 446
84. R. Lambiotte, V.D. Blondel, C. de Kerchove, E. Huens, C. Prieur, and Z. Smoreda et al. Geographical dispersal of mobile communication networks Physica A 387 2008 5317 5325
85. L. Liu, A. Biderman, and C. Ratti Urban mobility landscape: Real-time monitoring of urban mobility patterns 2009 MIT Publication
86. T. Louail, M. Lenormand, O.G. Cantú, M. Picornell, R. Herranz, and E. Frias-Martinez et al. From mobile phone data to the spatial structure of cities 2014 (arXiv preprint) arXiv:1401.4540
87. Madey, G., Barabási, A. -L., Chawla, N. V., Gonzalez, M., Hachen, D., Lantz, B., et al. (2007). Enhanced situational awareness: Application of DDDAS concepts to emergency and disaster management. In Y. Shi, G. D. van Albada, J. Dongarra, and Sloot, P. M. A. (Eds.), Proceedings of international conference on computational science, serial lecture notes in computer science (LNCS 4487) (pp. 1090-1097).
88. G.R. Madey, G. Szabo, and A.L. Barabási Wiper: Integrated wireless phone based emergency response system V.N. Alexandrov, ICCS 2006, Part III, LNCS 3993 2006 Springer-Verlag Berlin Heidelberg 417 424
89. Martino, M., Calabrese, F., Di Lorenzo, G., Andris, C., Liu, L., & Ratti, C. (2010). Ocean of information: Fusing aggregate and individual dynamics for metropolitan analysis. IUI'10. Hong Kong, China.
90. D. Massey Politics and space/time New Left Review 196 1992 65 84
91. P. Mateos, and P.F. Fisher Spatiotemporal accuracy in mobile phone location: Assessing the new cellular geography Dynamic & Mobile GIS: Investigating Change in Space and Time 2006 189 212
92. H.J. Miller The data avalanche is here. Shouldn't we be digging? Journal of Regional Science 50 1 2010 181 201
93. Mitchell, W. (2006). Smart City 2020 - Emerging technologies are poised to reshape our urban environments. Web: Accessed 09.10.11.
94. P. Nijkamp XXQ Factors for sustainable development: A systems economics view Romanian Journal of Regional Science 2 1 2008 1 34
95. Nijkamp, P. (2010). Lands of hope and glory, megacities: Exploring a sustainable future (pp. 100-111). In S. Buys, W. Tan, & D. Tunes (Eds.). 010 Rotterdam.
96. P. Nijkamp, and K. Kourtit Global challenges and local responses in the urban century: A scoping document 2011 Vrije Universiteit Amsterdam
97. J. Novák, R. Ahas, A. Aasa, and S. Silm Application of mobile phone location data in mapping of commuting patterns and functional regionalization: A pilot study of Estonia Journal of Maps 9 1 2013 10 15
98. P. Nurmi, and S. Bhattacharya Identifying meaningful places: The non-parametric way J. Indulska, Pervasive 2008, LNCS 5013 2008 Springer-Verlag Berlin Heidelberg 111 127
99. Nurmi, P., & Koolwaaij, J. (2006). Identifying meaningful locations. Paper presented at 3rd annual international conference on mobile and ubiquitous systems: Networks and Services (MobiQuitous). San Jose, CA.
100. J. -P. Onnela, S. Arbesman, A. -L. Barabási, and N.A. Christakis Geographic constraints on social network groups Proceedings of National Academy of Sciences 2010 1 5
101. J. -P. Onnela, S. Arbesman, M.C. Gozales, A. -L. Barabási, and N.A. Christakis Geographic constraints on social network groups PLoS One 6 2011 e16939
102. J. -P. Onnela, J. Saramaki, J. Hyvonen, G. Szabo, M.A. de Menezes, and K. Kaski et al. Analysis of a large-scale weighted network of one-to-one human communication New Journal of Physics 9 2007 179
103. J. -P. Onnela, J. Saramaki, J. Hyvonen, G. Szabo, D. Lazer, and K. Kaski et al. Structure and tie strengths in mobile communication networks Proceedings of the National Academy of Sciences of the United States of America 104 2007 7332 7336
104. Pae, K., Ahas, R., & Mark, Ü. (Eds.) 2006. Joint space. Open source on mobile positioning and urban studies (p. 174). Tallinn: X Venice Biennaale of Architecture. Positium.
105. J. Park, D.S. Lee, and M.C. González The eigenmode analysis of human motion Journal of Statistical Mechanics: Theory and Experiment 2010 2010 P11021
106. A. Pawling, N.V. Chawla, and G. Madey Anomaly detection in a mobile communication network 2007 Department of Computer Science and Engineering, University of Notre Dame Notre Dame, IN 46556
107. A. Pawling, P. Yan, J. Candia, T. Schoenharl, and G. Madey Anomaly detection in streaming sensor data 2008 University of Notre Dame USA
108. Pawling, A., Yan, P., Schoenharl, T., & Madey, G. (2008). WIPER: An emergency response system. In F. Fiedrich, B. Van de Walle (Eds.), Proceedings of the 5th international ISCRAM conference - Washington, DC, USA.
109. Pei, T., Sobolevsky, S., Ratti, C., Shaw, S. L., & Zhou, C. (2013). A new insight into land use classification based on aggregated mobile phone data. arXiv preprint arXiv:1310.6129.
110. Phithakkitnukoon, S., Calabrese, F., Smoreda,Z., & Ratti, C. (2011). Out of sight out of mind - How our mobile social network changes during migration. In Privacy, security, risk and trust (passat), 2011 ieee third international conference on and 2011 ieee third international conference on social computing (socialcom) pp. (515-520). IEEE
111. S. Phithakkitnukoon, T. Horanont, G. Di Lorenzo, R. Shibasaki, and C. Ratti Activity-aware map: Identifying human daily activity pattern using mobile phone data Human Behavior Understanding 2010 Springer Berlin Heidelberg 14 25
112. Pulselli R. M., Pulselli F. M., Ratti, C., & Tiezzi, E. (2005). Dissipative structures for understanding cities: Resource flows and mobility patterns. Becon 2005. In Proceedings of the 1st international conference on built environment complexity.
113. R.M. Pulselli, C. Ratti, and E. Tiezzi City out of chaos: Social patterns and organization in urban systems International Journal of Ecodynamics 1 2 2006 125 134
114. G. Ranjan, H. Zang, Z.L. Zhang, and J. Bolot Are call detail records biased for sampling human mobility? ACM SIGMOBILE Mobile Computing and Communications Review 16 3 2012 33 44
115. C. Ratti, F. Calabrese, and K. Kloeckl WikiCity: Connecting the tangible and the virtual realm of the city GEO Informatics 10 8 2007 42 45
116. C. Ratti, R.M. Pulselli, S. Williams, and D. Frenchman Mobile landscapes: Using location data from cell phones for urban analysis Environment and Planning B: Planning and Design 33 2006 727 748
117. C. Ratti, A. Sevtsuk, S. Huang, and R. Pailer Mobile landscapes: Graz in real time 2005 MIT Publication
118. C. Ratti, A. Sevtsuk, S. Huang, and R. Pailer Mobile landscapes: Graz in real-time G. Gartner, W. Cartwright, M.P. Peterson, Location based services and telecartography 2007 Springer Berlin 443 444
119. C. Ratti, S. Sobolevsky, F. Calabrese, C. Andris, and J. Reades Redrawing the map of Great Britain from a network of human interactions PloS ONE 5 12 2010 e14248 10.1371/journal.pone.0014248
120. J. Reades, F. Calabrese, and C. Ratti Eigenplaces: Analysing cities using the space-time structure of the mobile phone network Environment and Planning B: Planning and Design 36 2009 824 836
121. J. Reades, F. Calabrese, A. Sevtsuk, and C. Ratti Cellular Census: Explorations in urban data collection, Analysis of cell phone use can provide an important new way of looking at the city as a holistic, dynamic system IEEE Pervasive Computing 6 3 2007 30 38
122. Resch, B., Zipf, A., Breuss-Schneeweis, P., Beinat, E., & Boher, M. (2012). Live cities and urban services - A multi-dimensional stress field between technology, innovation and society. In Proceedings of the 4th international conference on advanced geographic information systems, applications, and services - GEOProcessing 2012 (pp. 28-34). Valencia, Spain.
123. G. Sagl, M. Loidl, and E. Beinat A visual analytics approach for extracting spatio-temporal urban mobility information from mobile network traffic ISPRS International Journal of Geo-Information 1 2012 256 271 10.3390/ijgi1030256
124. S. Sassen The global city 1991 Princeton University Press New York, London, Tokyo. Princeton, New Jersey
125. T. Schoenharl, R. Bravo, and G. Madey WIPER: Leveraging the cell phone network for emergency response International Journal of Intelligent Control and Systems 11 4 2006 209 216
126. T. Schwanen, and M. -P. Kwan The Internet, mobile phone and space-time constraints GeoForum 39 3 2008 1362 1377
127. S.L. Shaw, and H. Yu A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical-virtual space Journal of Transport Geography 17 2009 141 149
128. M. Sheller Mobile publics: Beyond the network perspective Environment and Planning D: Society and Space 22 2004 39 52
129. M. Shepard Sentient city: Ubiquitous computing, architecture, and the future of urban space 2011 MIT Press Cambridge, Mass
130. N. Shoval Sensing human society Environment and Planning B 34 2007 191 195
131. S. Silm, and R. Ahas The seasonal variability of population in Estonian municipalities Environment and Planning A 42 10 2010 2527 2546
132. E. Soja Postmodern geographies 1989 Verso London
133. C. Song, T. Koren, P. Wang, and A. -L. Barabási Modelling the scaling properties of human mobility Nature Physics 6 2010 818 823
134. C. Song, Z. Qu, N. Blumm, and A. -L. Barabási Limits of predictability in human mobility Science 327 2010 1018 1021
135. Soto, V., & FrIas-MartInez, E. (2011). Robust land use characterization of urban landscapes using cell phone data. Workshop on pervasive urban applications in conjunction with 9th international conference on pervasive computing. San Francisco, CA.
136. J. Steenbruggen, M.T. Borzacchiello, P. Nijkamp, and H. Scholten Mobile phone data from GSM networks for traffic parameter and urban spatial pattern assessment: A review of applications and opportunities GeoJournal 78 2 2013 223 243
137. Tanahashi, Y., Rowland, J. R., North, S., & Ma, K. L. (2012). Inferring human mobility patterns from anonymized mobile communication usage. In Proceedings of the 10th international conference on advances in mobile computing and multimedia (pp. 151-160). ACM.
138. N. Thrift Inhuman geographies: Landscapes of speed, light and power N. Thrift, Spatial formation 1996 Sage London 256 311
139. Tian, H., Ma, X., Wang, H., Song, G., & Xie, K. (2010). A novel approach to estimate human space-time path based on mobile phone call records. In Proceedings of 18th international conference on geoinformatics (pp. 1-6). IEEE.
140. Toole, J. L., Ulm, M., González, M. C., & Bauer, D. (2012). Inferring land use from mobile phone activity. In Proceedings of the ACM SIGKDD international workshop on urban computing (pp. 1-8). ACM.
141. A.M. Townsend Life in the real-time city: Mobile telephones and urban metabolism Journal of Urban Technology 7 2000 85 104
142. Traag, V.A., Browet, A., Calabrese, F., & Morlot, F. (2011). Social event detection in massive mobile phone data using probabilistic location inference. In Privacy, security, risk and trust, 2011 ieee third international conference on social computing (socialcom) (pp. 625-628). IEEE.
143. E. Tranos, and D. Gertner Smart networked cities? Innovation: The European Journal of Social Science Research 25 2 2012 175 190
144. Tranos, E., Steenbruggen, J., & Nijkamp, P. (2012). Mobile phone data and urban analysis: An exploratory space - Time. Tinbergen Institute discussion paper (pp. 1-14), no. 13-139/VIII.
145. J. Um, S. Son, S. Lee, H. Jeong, and B. Kim Proceedings of the National Academy of Science 106 2009 14236
146. A. Vaidyanathan A test-bed for emergency management simulations A case-study including live call data in New Zealand International Journal of Advanced Computer Science and Applications 1 2010 3
147. Vaidyanathan, A., Billinghurst, M., & Sirisena, H. (2008). Characterizing and visualizing mobile networks. In Proceedings of the New Zealand computer science research student conference 2008, NZCSRSC. Christchurch, New Zealand.
148. A. Vaidyanathan, and D. Johnston The use of cell-phone technology for improved disaster response: A case-study from New Zealand Australasian Journal of Disaster and Trauma Studies 2011
149. Vázquez, A., Oliveira, J. G., Dezsö, Z., Goh, K. -I., Kondor, I., & Barabási, A. -L. (2005). Modeling bursts and heavy-tails in human dynamics. .
150. Veloso, M., Phithakkitnukoon, S., Bento, C., Fonseca, N., & Olivier, P. (2011). Exploratory study of urban flow using taxi traces. In First workshop on pervasive urban applications (PURBA) in conjunction with pervasive computing. San Francisco, California, USA.
151. A. Vespignani Predicting the behavior of techno-social systems Science 325 2009 425 428
152. Wang, H., Calabrese, F., Di Lorenzo, G., & Ratti C. (2010). Transportation mode inference from anonymized and aggregated mobile phone call detail records. Paper presented at 13th IEEE on intelligent transportation systems (ITSC).
153. P. Wang, M. Gonzalez, C. Hidalgo, and A.L. Barabasi Understanding the spreading patterns of mobile phone viruses Science 324 2009 1071 1076
154. A. Wesolowski, N. Eagle, A.M. Noor, R.W. Snow, and C.O. Buckee The impact of biases in mobile phone ownership on estimates of human mobility Journal of The Royal Society Interface 10 81 2013
155. Yuan, Y., & Raubal, M. (2012). Extracting dynamic urban mobility patterns from mobile phone data. In N. Xiao, M. -P. Kwan, M. F. Goodchild, & S. Shekhar, (Eds.), Proceedings of the 7th international conference, GIScience 2012 (pp. 354-367). Lecture notes in computer science, (Vol. 7478), Berlin, Heidelberg: Springer.
156. R. Zandvliet, and M. Dijst Short-term dynamics in the use of places: A space-time typology of visitor populations in the Netherlands Urban Studies 43 2006 7
157. C. Zhou, D. Frankowski, P. Ludford, S. Shekhar, and L. Terveen Discovering personally meaningful places: An interactive clustering approach ACM Transactions on Information Systems (TOIS) 25 3 2007 1 31