Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies

Travel Behaviour and Society

Volumn 1, Issue 2, 2014, Pages 69-78

  Yue, Yang ^b   Lan, Tian ^a   Yeh, Anthony G O ^a   Li, Qing Quan ^b  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b SHENZHEN UNIVERSITY   (China)

Author keywords

Complex network theory; Human travel behaviour; Trajectory data

Indexed keywords

EID: 84922667035     PISSN: 2214367X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tbs.2013.12.002     Document Type: Article

References (122)

1. Adamic, Lada A., Huberman, Bernardo A., 2000. Power-law distribution of the world wide web. Science 287 (5461), 2115. http://dx.doi.org/10.1126/ science.287.5461.2115a.
2. Adler, Thomas, Ben-Akiva, Moshe, 1979. A theoretical and empirical model of trip chaining behavior. Trans. Res. Part B: Methodol. 13 (3), 243-257.
3. Agard Bruno, Catherine Morency, Martin Trépanier, 2006. Mining public transport user behaviour from smart card data. In: 12th IFAC Symposium on Information Control Problems in Manufacturing-INCOM. Saint-Etienne, France.
4. Agrawal, Rakesh, Srikant, Ramakrishnan, 2000. Privacy-preserving data mining. SIGMOD Rec. 29 (2), 439-450. http://dx.doi.org/10.1145/335191.335438.
5. Aiello William, Fan Chung, Linyuan Lu, 2000. A Random Graph Model for Massive Graphs. In: Proceedings of the Thirty-Second Annual ACM Symposium on Theory of Computing, Portland, Oregon, USA:ACM.
6. Asakura, Yasuo, Hato, Eiji, 2004. Tracking survey for individual travel behaviour using mobile communication instruments. Transp. Res. Part C: Emerging Technol. 12 (3-4), 273-291. http://dx.doi.org/10.1016/j.trc.2004.07.010.
7. Asakura, Yasuo., Iryo, Takamasa., 2007. Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument. Transp. Res. Part A: Policy Pract. 41 (7), 684-690. http://dx.doi.org/10.1016/ j.tra.2006.07.003.
8. Axhausen, Kay W., 1998. Can we ever obtain the data we would like to have. Theor. Found. Travel Choice Model, 305-323.
9. Axhausen, Kay W., Gärling, Tommy, 1992. Activity-based approaches to travel analysis: conceptual frameworks, models, and research problems. Transp. Rev. 12 (4), 323-341. http://dx.doi.org/10.1080/01441649208716826.
10. Bagchi, M., White, P.R., 2005. The potential of public transport smart card data. Transp. Policy 12 (5), 464-474. http://dx.doi.org/10.1016/ j.tranpol.2005.06.008.
11. Barabasi, Albert-Laszlo, 2005. The origin of bursts and heavy tails in human dynamics. Nature 435 (7039), 207-211 (doi: http://www.nature.com/nature/ journal/v435/n7039/suppinfo/nature03459_S1.html).
12. Barabâsi, Albert-Laszlo, Jeong, Hawoong, Néda, Zoltan, Ravasz, Erzsebet, Schubert, Andras, Vicsek, Tamas, 2002. Evolution of the social network of scientific collaborations. Physica A 311 (3), 590-614.
13. Batty, M., 2012. Smart cities, big data. Environ. Plann. B: Plann. Des. 39 (2), 191-193.
14. Batty, Michael, Desyllas, Jake, Duxbury, Elspeth., 2003. The discrete dynamics of small-scale spatial events: agent-based models of mobility in carnivals and street parades. Int. J. Geograph. Inf. Sci. 17 (7), 673-697. http://dx.doi.org/ 10.1080/1365881031000135474.
15. Batty, Michael, Marshall, Stephen, 2012. The origins of complexity theory in cities and planning. In: Portugali, Juval, Meyer, Han, Stolk, Egbert, Tan, Ekim (Eds.), Complexity Theories of Cities Have Come of Age. Springer, Berlin Heidelberg, pp. 21-45.
16. Blumberg Andrew J, Peter Eckersley, 2009. On locational privacy, and how to avoid losing it forever. Electron. Front. Found. https://www.eff.org/files/eff-locationalprivacy. pdf.
17. Brockmann, D., Theis, F., 2008. Money circulation, trackable items, and the emergence of universal human mobility patterns. Pervasive Comput. IEEE 7 (4), 28-35. http://dx.doi.org/10.1109/MPRV.2008.77.
18. Brockmann, Dirk, Hufnagel, Lars, Geisel, Theo, 2006. The scaling laws of human travel. Nature 439 (7075), 462-465.
19. Burnett, Pat, Hanson, Susan, 1982. The analysis of travel as an example of complex human behavior in spatially-constrained situations: definition and measurement issues. Transp. Res. Part A: Gen. 16 (2), 87-102. http:// dx.doi.org/10.1016/0191-2607(82)90001-2.
20. Calabrese, F., Colonna, M., Lovisolo, P., Parata, D., Ratti, C., 2011a. Real-time urban monitoring using cell phones: a case study in rome. IEEE Trans. Intell. Transp. Syst. 12 (1), 141-151.
21. Calabrese, F., Di Lorenzo, G., Liang, Liu., Ratti, C., 2011b. Estimating origindestination flows using mobile phone location data. Pervasive Comput. IEEE 10 (4), 36-44. http://dx.doi.org/10.1109/MPRV.2011.41.
22. Candia, Julián, González, Marta C., Wang, Pu, Schoenharl, Timothy, Madey, Greg, Barabási, Albert-László, 2008. Uncovering individual and collective human dynamics from mobile phone records. J. Phys. A: Math. Theor. 41 (22), 224015.
23. Chapin Francis Stuart, 1974. Human Activity Patterns in the City: Things People Do in Time and in Space. Wiley, New York.
24. Chapleau Robert, Ka Kee Alfred Chu, 2007. Modeling transit travel patterns from location-stamped smart card data using a disaggregate approach. In: Paper presented at 11th World Conference on Transport Research, at Berkeley, USA.
25. Cheng Zhiyuan, James Caverlee, Kyumin Lee, Daniel Z. Sui, 2011. Exploring millions of footprints in location sharing services. In: Paper presented at Proceedings of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM), at Barcelona, Spain.
26. Chu, Ka Kee Alfred, Chapleau, Robert, 2008. Enriching archived smart card transaction data for transit demand modeling. Transp. Res. Rec.: J. Transp. Res. Board 2063, 63-72. http://dx.doi.org/10.3141/2063-08.
27. Clements, Maarten, Pavel Serdyukov, Arjen P. de Vries, Marcel J.T. Reinders, 2010. Using flickr geotags to predict user travel behaviour. In: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, Geneva, Switzerland, ACM.
28. Crandall David J., Lars Backstrom, Daniel Huttenlocher, Jon Kleinberg, 2009. Mapping the world's photos. In: Proceedings of the 18th International Conference on World Wide Web, Madrid, Spain, ACM.
29. Cullen, I., Godson, V., 1975. Urban networks: the structure of activity patterns. Prog. Plann. 4 (Part 1), 1-96 (doi: 10.1016/0305-9006(75)90006-9).
30. de Montjoye, Yves-Alexandre, Hidalgo, Cesar A., Verleysen, Michel, Blondel, Vincent D, 2013. Unique in the crowd: the privacy bounds of human mobility. Nature 3 (doi: http://www.nature.com/srep/2013/130325/srep01376/abs/ srep01376.html-supplementary-information).
31. Duckham, Matt, Kulik, Lars, Birtley, Athol, 2006. A spatiotemporal model of strategies and counter strategies for location privacy protection. In: Raubal, Martin, Miller, Harvey J., Frank, Andrew U., Goodchild, Michael F. (Eds.), Geographic Information Science. Springer, Berlin Heidelberg, pp. 47-64.
32. Eagle, Nathan, Pentland, Alex Sandy, 2009. Eigenbehaviors: identifying structure in routine. Behav. Ecol. Sociobiol. 63 (11), 1689. http://dx.doi.org/10.1007/s00265- 009-0830-6.
33. Ettema, Dick., Timmermans, Harry., van Veghel, Leo., 1996. Effects of Data Collection Methods in Travel and Activity Research, European Institute of Retailing and Service Studies. Eindhoven, Netherlands.
34. Friedrich Markus, Katrin Immisch, Prokop Jehlicka, Thomas Otterstätter, Johannes Schlaich, 2010. Generating origin-destination matrices from mobile phone trajectories. Transp. Res. Rec.: J. Transp. Res. Board 2196 (1), 93-101 (doi: 10.3141/2196-10).
35. Fujisaka Tatsuya Ryong Lee, Kazutoshi Sumiya, 2010. Exploring Urban Characteristics Using Movement History of Mass Mobile Microbloggers. In: Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications, Annapolis, Maryland, ACM.
36. Gao, Song, Liu, Yu, Wang, Yaoli, Ma, Xiujun., 2013. Discovering spatial interaction communities from mobile phone data. Trans. GIS 17 (3), 463-481. http:// dx.doi.org/10.1111/tgis.12042.
37. Gelernter, David, 1992. Mirror Worlds: Or the Day Software Puts the Universe in a Shoebox: How It Will Happen and What It Will Mean. Oxford University Press, USA.
38. Giles, Jim, 2012. Computational social science: making the links. Nature 488 (7412), 448-450.
39. Gong Yongxi, Yu Liu, Yaoyu Lin, Jian Yang, Zhongyuan Duan, Guicai Li, 2012. Exploring spatiotemporal characteristics of intra-urban trips using metro smartcard records. In: Paper presented at Geoinformatics (GEOINFORMATICS), 2012 20th International Conference on, 15-17 June 2012, at Hong Kong.
40. Gonzalez, Marta C., Barabasi, Albert-Laszlo, 2007. Complex networks: from data to models. Nat. Phys. 3 (4), 224-225.
41. Gonzalez, Marta C., Hidalgo, Cesar A., Barabasi, Albert-Laszlo, 2008. Understanding individual human mobility patterns. Nature 453 (7196), 779-782 (doi: http:// www.nature.com/nature/journal/v453/n7196/suppinfo/ nature06958_S1.html%22).
42. Goodchild, Michael F., Alan Glennon, J., 2010. Crowdsourcing geographic information for disaster response: a research frontier. Int. J. Digit. Earth 3 (3), 231-241.
43. Goodchild, Michael F., 2000. Gis and transportation: status and challenges. Geoinformatica 4 (2), 127-139. http://dx.doi.org/10.1023/A:1009867905167.
44. Hägerstrand, Torsten, 1970. What about people in regional science? Papers Reg. Sci. 24 (1), 7-24. http://dx.doi.org/10.1111/j.1435-5597.1970.tb01464.x.
45. Hanson Susan, 1979. Urban-travel linkage: a reivew. In: David Alan Hensher, Peter Robert Stopher (Eds.), Behavioural Travel Modelling, 861, Taylor & Francis.
46. Hanson, Susan, Huff, James O., 1981. Assessing day-to-day variability in complex travel patterns. Transp. Res. Rec. 891, 18-24.
47. Hofmann Markus, Simon P. Wilson, Peter White, 2009. Automated identification of linked trips at trip level using electronic fare collection data. In: Paper presented at Transportation Research Board 88th Annual Meeting, at Washington, DC.
48. Hornsby, Kathleen, Egenhofer, M.J., 2002. Modeling modeling objects over multiple granularities. Ann. Math. Artif. Intell. 36 (1-2), 177-194.
49. Huang Lian, Qingquan Li, Yang Yue, 2010. Activity identification from GPS trajectories using spatial temporal pois' attractiveness. In: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks, San Jose, California, ACM.
50. Huberman, Bernardo A., 2012. Sociology of science: big data deserve a bigger audience. Nature 482 (7385), 308.
51. Injong, Rhee, Shin Minsu, Hong Seongik, Lee Kyunghan, and Chong Song. 2008. ''On the Levy-Walk Nature of Human Mobility.'' Paper presented at INFOCOM 2008. The 27th Conference on Computer Communications. IEEE, 13-18 April 2008, at Phoenix, AZ, USA.
52. Isaacman Sibren, Richard Becker, Ramón Cáceres, Stephen Kobourov, James Rowland, Alexander Varshavsky, 2010. A tale of two cities. In Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications, Annapolis, Maryland, ACM.
53. Jia, Tao, Jiang, Bin, 2012. Exploring human activity patterns using taxicab static points. ISPRS Int. J. Geo-Inf. 1 (1), 89-107.
54. Jiang, Bin, Yin, Junjun, Zhao, Sijian, 2009. Characterizing the human mobility pattern in a large street network. Phys. Rev. E 80 (2), 021136.
55. Jiang, S., Fiore, G.A., Yang, Y., Ferreira, J., Frazzoli, E., González, M. C., 2013. A review of urban computing for mobile phone traces: current methods, challenges and opportunities. In: Paper presented at ACM SIGKDD International Workshop on Urban Computing, at Chicago, IL, USA.
56. Jiang Shan, Jr. Joseph Ferreira, Marta C. Gonzalez. 2012. Discovering Urban spatialtemporal structure from human activity patterns. In: Proceedings of the ACM SIGKDD International Workshop on Urban Computing. Beijing, China, ACM.
57. Jones, P.M., and University of Oxford, 1983. Transport Studies Unit. Understanding Travel Behaviour, England: Gower.
58. Jones, Peter, Clarke, Mike, 1988. The significance and measurement of variability in travel behaviour. Transportation 15 (1-2), 65-87. http://dx.doi.org/10.1007/ BF00167981.
59. Kang, C.G., Ma, X.J., Tong, D.Q., Liu, Y., 2012. Intra-Urban human mobility patterns: an Urban morphology perspective. Phys. A-Stat. Mech. Appl. 391 (4), 1702- 1717. http://dx.doi.org/10.1016/j.physa.2011.11.005.
60. Kitamura, Ryuichi, 1984a. Incorporating trip chaining into analysis of destination choice. Transp. Res. Part B: Methodol. 18 (1), 67-81.
61. Kitamura, Ryuichi, 1984b. A model of daily time allocation to discretionary out-ofhome activities and trips. Transp. Res. Part B: Methodol. 18 (3), 255-266.
62. Kondo, Katsunao, Kitamura, Ryuichi, 1987. Time-space constraints and the formation of trip chains. Reg. Sci. Urban Econ. 17 (1), 49-65. http://dx.doi.org/ 10.1016/0166-0462(87)90068-8.
63. Kwan, Mei-Po, 1998. Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework. Geograph. Anal. 30 (3), 191-216. http://dx.doi.org/10.1111/j.1538-4632.1998.tb00396.x.
64. Kwan, Mei-Po, 2000. Analysis of human spatial behavior in a gis environment: recent developments and future prospects. J. Geogr. Syst. 2 (1), 85-90. http:// dx.doi.org/10.1007/s101090050034.
65. Kwan, Mei-Po, 2004. Gis methods in time-geographic research: geocomputation and geovisualization of human activity patterns. Geografiska Ann.: Ser.B, Human Geogr. 86 (4), 267-280. http://dx.doi.org/10.1111/j.0435- 3684.2004.00167.x.
66. Kyunghan Lee, Hong Seongik, Kim Seong Joon, Rhee Injong, Chong Song, 2009. Slaw: a new mobility model for human walks. In: Paper presented at INFOCOM 2009, IEEE, 19-25 April 2009, at Rio de Janeiro, Brazil.
67. Lam, W., Becky P.Y. Loo, Shenjun Yao, 2012. Towards exposurebased time-space pedestrian crash analysis in facing the challenges of ageing societies in Asia. Asian Geograph., doi:10.1080/10225706.2012.735436 (in press).
68. Lazer, David, Pentland, Alex, Adamic, Lada, Aral, Sinan, Barabási, Albert-László, Brewer, Devon, Christakis, Nicholas, Contractor, Noshir, Fowler, James, Gutmann, Myron, Jebara, Tony, King, Gary, Macy, Michael, Roy, Deb, Van Alstyne, Marshall, 2009. Computational social science. Science 323 (5915), 721- 723. http://dx.doi.org/10.1126/science.1167742.
69. Lenntorp, B., 1976. Paths in space-time environments: a time-geographic study of movement possibilities of individuals. Royal University of Lund, Dept. of Geography.
70. Li, Linna, Goodchild, Michael F, Bo, Xu, 2013. Spatial, temporal, and socioeconomic patterns in the use of twitter and flickr. Cartography Geographic Inf. Sci. 40 (2), 61-77. http://dx.doi.org/10.1080/15230406.2013.777139.
71. Liang Xiao, Jichang Zhao, Li Dong, Ke Xu, 2012. Modeling collective human mobility: understanding exponential law of intra-urban movement. ArXiv e-prints 1212: 6331, http://adsabs.harvard.edu/abs/2012arXiv1212.6331L.
72. Liang, Xiao, Zheng, Xudong, Lv, Weifeng, Zhu, Tongyu, Ke, Xu, 2012b. The scaling of human mobility by taxis is exponential. Physica A 391 (5), 2135-2144.
73. Liu, Y., Kang, C.G., Gao, S., Xiao, Y., Tian, Y., 2012. Understanding intra-urban trip patterns from taxi trajectory data. J. Geogr. Syst. 14 (4), 463-483. http:// dx.doi.org/10.1007/s10109-012-0166-z.
74. Long, Jed A., Nelson, Trisalyn A., 2012. A review of quantitative methods for movement data. Int. J. Geog. Inf. Sci. 27 (2), 292-318. http://dx.doi.org/10.1080/ 13658816.2012.682578.
75. Malleson, Nick, Mark Birkin, 2012. Estimating individual behaviour from massive social data for an urban agent-based model. In: Paper presented at 8th Conference of the European Social Simulation Association, Salzburg.
76. Miller, H.J., Han, J., 2009. Geographic Data Mining and Knowledge Discovery, second ed. Taylor & Francis.
77. Miller, Harvey J., 1991. Modelling accessibility using space-time prism concepts within geographical information systems. Int. J. Geog. Inf. Syst. 5 (3), 287-301. http://dx.doi.org/10.1080/02693799108927856.
78. Miller, Harvey J., 2010. The data avalanche is here. shouldn't we be digging? J. Reg. Sci. 50 (1), 181-201. http://dx.doi.org/10.1111/j.1467-9787.2009.00641.x.
79. Moore, Gordon E., 1965. Cramming more components onto integrated circuits. Electronics 38 (8).
80. Morency, C., Trepanier, M., Agard, B., 2006. Analysing the variability of transit users behaviour with smart card data. In: Paper presented at Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE, 17-20 Sept. 2006, at Toronto, Canada.
81. Morency, Catherine, Trépanier, Martin, Agard, Bruno, 2007. Measuring transit use variability with smart-card data. Transp. Policy 14 (3), 193-203. http:// dx.doi.org/10.1016/j.tranpol.2007.01.001.
82. Newman, M.E.J., 2000. Models of the Small World: A Review. eprint arXiv:cond-mat/0001118: 1118, http://adsabs.harvard.edu/abs/ 2000cond.mat.1118N%22.
83. Noulas Anastasios, Cecilia Mascolo, Enrique Frias-Martinez, 2013. Exploiting foursquare and cellular data to infer user activity in urban environments. In: IEEE Internationcal Conference on Mobile Data Management, Milan, Italy.
84. Noulas, Anastasios, Scellato, Salvatore, Lambiotte, Renaud, Pontil, Massimiliano, Mascolo, Cecilia, 2012. A tale of many cities: universal patterns in human urban mobility. PLoS ONE 7 (5), e37027. http://dx.doi.org/10.1371/ journal.pone.0037027.
85. Noulas Anastasios, Salvatore Scellato, Cecilia Mascolo, Massimiliano Pontil, 2011. An empirical study of geographic user activity patterns in foursquare. In: Paper presented at Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011), at Barcelona, Spain.
86. Palma Andrey Tietbohl, Vania Bogorny, Bart Kuijpers, Luis Otavio Alvares, 2008. A clustering-based approach for discovering interesting places in trajectories. In: Proceedings of the 2008 ACM Symposium on Applied Computing. Fortaleza, Ceara, Brazil, ACM.
87. Pearson, D., 2001. Global positioning system (GPS) and travel surveys: results from the 1997 austin household survey. In: Paper presented at Eighth Conference on the Application of Transportation Planning Methods, Corpus Christi, Texas.
88. Pelletier, Marie-Pier, Trépanier, Martin, Morency, Catherine, 2011. Smart card data use in public transit: a literature review. Transp. Res. Part C: Emerging Technol. 19 (4), 557-568. http://dx.doi.org/10.1016/j.trc.2010.12.003.
89. Quiroga, Cesar A., Bullock, Darcy, 1998. Travel time studies with global positioning and geographic information systems: an integrated methodology. Transp. Res. Part C: Emerging Technol. 6 (1-2), 101-127. http://dx.doi.org/10.1016/s0968- 090x(98)00010-2.
90. Rasouli, S., Timmermans, H., 2013. Activity-based models of travel demand: promises, progress and prospects. Int. J. Urban Sci. http://dx.doi.org/10(1080/ 12265934), 2013, 835118.
91. Ratti, C., Pulselli, R.M., Williams, S., Frenchman, D., 2006. Mobile landscapes: using location data from cell phones for urban analysis. Environ. Plann. B: Plann. Des. 33 (5), 727-748.
92. Roth, Camille, Kang, Soong Moon, Batty, Michael, Barthélemy, Marc, 2011. Structure of urban movements: polycentric activity and entangled hierarchical flows. PLoS One 6 (1), e15923. http://dx.doi.org/10.1371/journal.pone.0015923.
93. Sadilek Adam, John Krumm, 2012. Far out: predicting long-term human mobility. In: Paper presented at AAAI, at Toronto, Ontario.
94. Schlich, Robert, Axhausen, Kay W., 2003. Habitual travel behaviour: evidence from a six-week travel diary. Transportation 30 (1), 13-36. http://dx.doi.org/10.1023/ A:1021230507071.
95. Seaborn, Catherine, Attanucci, John, Wilson, Nigel H.M., 2009. Using smart card fare payment data to analyze multi-modal public transport journeys in London. Transp. Res. Rec. http://dx.doi.org/10.3141/2121-06.
96. Shaw, Shih-Lung, Hongbo, Yu, Bombom, Leonard S, 2008. A space-time gis approach to exploring large individual-based spatiotemporal datasets. Trans. GIS 12 (4), 425-441.
97. Shih, Dong-Her, Lin, Chin-Yi, Lin, Binshan, 2005. Rfid tags: privacy and security aspects. Int. J. Mobile Commun. 3 (3), 214-230. http://dx.doi.org/10.1504/ ijmc.2005.006581.
98. Shlesinger, Michael F., 2006. Random walks: follow the money. Nat. Phys. 2 (2), 69- 70. http://dx.doi.org/10.1038/nphys221.
99. Simini Filippo, Marta C. Gonzalez, Amos Maritan, Albert-Laszlo Barabasi, 2012. A universal model for mobility and migration patterns. Nature 484 (7392:96/- 100/. doi: http://www.nature.com/nature/journal/v484/n7392/abs/ nature10856.html, supplementary-information'').
100. Sohn, Timothy, Varshavsky, Alex, LaMarca, Anthony, Chen, Mike Y., Choudhury, Tanzeem, Smith, Ian, Consolvo, Sunny, Hightower, Jeffrey, Griswold, William G., Lara, Eyal, 2006. Mobility detection using everyday gsm traces. In: Dourish, Paul, Friday, Adrian (Eds.), Ubicomp 2006: Ubiquitous Computing. Springer, Berlin Heidelberg, pp. 212-224.
101. Song, Chaoming, Koren, Tal, Wang, Pu, Barabasi, Albert-Laszlo, 2010. Modelling the scaling properties of human mobility. Nat. Phys. 6 (10), 818-823 (doi: http:// www.nature.com/nphys/journal/v6/n10/abs/nphys1760.html-supplementaryinformation).
102. Taaffe, Edward J., Gauthier, Howard L., O'Kelly, Morton E., 1996. Geography of Transportation, second ed. Prentice Hall, New Jersey.
103. Thiemann, Christian, Theis, Fabian, Grady, Daniel, Brune, Rafael, Brockmann, Dirk, 2010. The structure of borders in a small world. PLoS One 5 (11), e15422. http:// dx.doi.org/10.1371/journal.pone.0015422.
104. Timmermans Harry, 2003. The Saga of integrated land use-transport modeling: how many more dreams before we wake up? in: Paper presented at 10th International Conference on Travel Behaviour Research, at Lucerna.
105. Timmermans, Harry, Arentze, Theo, Joh, Chang-Hyeon, 2002. Analysing space-time behaviour: new approaches to old problems. Prog. Hum. Geogr. 26 (2), 175- 190. http://dx.doi.org/10.1191/0309132502ph363ra.
106. Timmermans, H., Van der Waerden, P., 1992. Modelling sequential choice processes: the case of two-stop trip chaining. Environ. Plann. A 24, 1483-1490.
107. Tobler, W.R., 1970. A computer movie simulating urban growth in the detroit region. Econ. Geogr. 46, 234-240 (ArticleType: research-article/Issue Title: Supplement: Proceedings. International Geographical Union. Commission on Quantitative Methods/Full publication date: Jun., 1970/Copyright © 1970 Clark University).
108. Utsunomiya Mariko, John Attanucci, Nigel Wilson, 2006. Potential uses of transit smart card registration and transaction data to improve transit planning. Transp. Res. Rec.: J. Transp. Res. Board 1971 (-1), pp. 119-126 (doi: 10.3141/ 1971-16).
109. Wang Yin, Yanmin Zhu, Zhaocheng He, Yang Yue, Qingquan Li, 2011. Challenges and opportunities in exploiting large-scale GPS probe data. HP Laboratories, Technical, Report HPL-2011-109 No. 21.
110. Watts, Duncan J., Strogatz, Steven H., 1998. Collective dynamics of 'small-world' networks. Nature 393 (6684), 440-442.
111. Weiner Edward, 1999. Urban Transportation Planning in the United States: A Historical Overview, Praeger Publishers.
112. Wissen, L.J.G., Meurs, H.J., 1989. The dutch mobility panel: experiences and evaluation. Transportation 16 (2), 99-119. http://dx.doi.org/10.1007/ BF00163111.
113. Wolf Jean. 2004. Applications of New Technologies in Travel Surveys. In: Paper Presented at 7th International Conference on Travel Survey Methods, Costa Rica.
114. Wolf, Jean, Guensler, Randall, Bachman, William, 2001. Elimination of the travel diary: experiment to derive trip purpose from global positioning system travel data. Transp. Res. Rec.: J. Transp. Res. Board 1768 (1), 125-134.
115. Xie Rong, Yanbing Ji, Yang Yue, Xiaoqing Zuo, 2011. Mining individual mobility patterns from mobile phone data. In: Proceedings of the 2011 international workshop on Trajectory data mining and analysis, Beijing, China: ACM.
116. Yuan, Y.H., Raubal, M., Liu, Y., 2012. Correlating mobile phone usage and travel behavior-a case study of harbin, china. Comput. Environ. Urban Syst. 36 (2), 118-130. http://dx.doi.org/10.1016/j.compenvurbsys.2011.07.003.
117. Yue Yang, Han dong Wang, Bo Hu, Qing quan Li, 2011. Identifying shopping center attractiveness using taxi trajectory data. In Proceedings of the 2011 International Workshop on Trajectory Data Mining and Analysis, Beijing, China: ACM.
118. Yue Yang, Zhuang Yan, Li Qingquan, Mao Qingzhou, 2009. Mining time-dependent attractive areas and movement patterns from taxi trajectory data. In: Paper presented at Geoinformatics, 2009 17th International Conference on, 12-14 Aug. 2009, at Washington, D.C.
119. Zhang Yi, Xiao Qin, Shen Dong, Bin Ran. 2010. Daily OD matrix estimation using cellular probe data. In: Paper Presented at Transportation Research Board 89th Annual Meeting, at Washington, D.C.
120. Zheng Yu, Quannan Li, Yukun Chen, Xing Xie, Wei-Ying Ma, 2008. Understanding mobility based on GPS data. In: Paper presented at Proceedings of the 10th international conference on Ubiquitous computing, at Seoul, South Korea.
121. Zheng Yu, Zhou Xiaofang, 2011. Computing with Spatial Trajectories, Springer. http://www.springer.com/computer/ database+management+%26+information+retrieval/book/978-1-4614-1628-9.
122. Zhu Jinbao, Allen Wang, 2012. Data modelling for big data. (http://www.ca.com/us/ ~/media/files/articles/ca-technology-exchange/data-modeling-for-big-datazhu- wang.aspx).