JE Abraham and J.D. Hunt. 1997. Specification and estimation of nested logit model of home, workplaces, and commuter mode choices by multiple-worker households. Transportation Research Record: Journal of the Transportation Research Board 1606, -1 (1997), 17-24.

N.A.A.H. Al-Dmour. 2011. TarffSim: Multiagent Traffic Simulation. European Journal of Scientific Research 53, 4 (2011), 570-575.

T. Arentze and H. Timmermans. 2008. Social networks, social interactions, and activity-travel behavior: a framework for microsimulation. Environment and planning. B, Planning & design 35, 6 (2008), 1012.

K.W. Axhausen and R. Herz. 1989. Simulating activity chains: German approach. Journal of Transportation Engineering 115, 3 (1989), 316-325.

K W Axhausen. 2008. Social networks, mobility biographies, and travel: survey challenges. Environment and Planning B: Planning and Design 35 (2008), 981-996. Issue 6.

M. Balmer, K. Meister, M. Rieser, K. Nagel, K.W. Axhausen, K.W. Axhausen, and K.W. Axhausen. 2008. Agent-based simulation of travel demand: Structure and computational performance of MATSim-T.

22:15

¨ ¨ ETH, Eidgen¨ ssische Technische Hochschule Zurich, IVT Institut fur Verkehrsplanung und Transport o systeme.

M. Balmer, B. Raney, and K. Nagel. 2005. Adjustment of activity timing and duration in an agent-based traffic flow simulation. Progress in activity-based analysis (2005), 91-114.

D. Brockmann, L. Hufnagel, and T. Geisel. 2006. The scaling laws of human travel. Nature 439, 7075 (2006), 462-465.

Zhiyuan Cheng, James Caverlee, Kyumin Lee, and Daniel Z. Sui. 2011. Exploring Millions of Footprints in Location Sharing Services. In ICWSM.

Eunjoon Cho, Seth A. Myers, and Jure Leskovec. 2011. Friendship and mobility: user movement in location-based social networks. In Proceedings of the 17th ACM SIGKDD international confer ence on Knowledge discovery and data mining (KDD '11). ACM, New York, NY, USA, 1082-1090. DOI:http://dx.doi.org/10.1145/2020408.2020579N. Eluru, C.R. Bhat, R.M. Pendyala, and K.C. Konduri. 2010. A joint flexible econometric model system of household residential location and vehicle fleet composition/usage choices. Transportation 37, 4 (2010), 603-626.

Paul Expert, Tim S. Evans, Vincent D. Blondel, and Renaud Lambiotte. 2011. Uncovering space-independent communities in spatial networks. Proceedings of the National Academy of Sciences 108, 19 (10 May 2011), 7663-7668. DOI:http://dx.doi.org/10.1073/pnas.1018962108A. S. Fotheringham. 1983. A new set of spatial-interaction models: the theory of competing destinations. 1, 15 (1983), 15 - 36.

J.K. Hackney, F. Marchal, J.K. Hackney, and J.K. Hackney. 2007. Model for coupling multi-agent social

¨ interactions and traffic simulation. ETH, Eidgen¨ ssische Technische Hochschule Zurich, IVT, Institut

o ¨fur Verkehrsplanung und Transport Systeme.

Q. Han, T. Arentze, H. Timmermans, D. Janssens, and G. Wets. 2011. The effects of social networks on choice set dynamics: Results of numerical simulations using an agent-based approach. Transportation Research Part A: Policy and Practice 45, 4 (2011), 310-322.

Andreas Horni, Kai Nagel, Kay W Axhausen, Kai Nagel, Kai Nagel, Kay W Axhausen, and Kay W Axhausen. 2011. High-Resolution Destination Choice in Agent-Based Demand Models. Eidgen¨ ssische Technische

o

¨ ¨ Hochschule Zurich, IVT, Institut fur Verkehrsplanung und Transportsysteme.

A. Horni, D.M. Scott, M. Balmer, and K.W. Axhausen. 2009a. Location Choice Modeling for Shopping and Leisure Activities with MATSim: Combining micro-simulation and time geography. Transportation Re search Record: Journal of the Transportation Research Board 2135, -1 (2009), 87-95.

A Horni, M Scott, D, M Balmer, K.W. Axhausen, and Kay W Axhausen. 2009b. Location choice modeling for shopping and leisure activities with MATSim: utility function extension and validation results. ETH, Ei-

¨ ¨ dgen¨ ssische Technische Hochschule Zurich, IVT, Institut fur Verkehrsplanung und Transportsysteme.

o

M. Khalesian, P. Pahlavani, and MR Delavar. 2008. GIS-Based Multi-agent traffic micro simulation for modelling the local air pollution. In International Society of Photogrammetary and Remote Sensing Congress.

A. Lawlor, C. Coffey, R. McGrath, and A. Pozdnoukhov. 2012. Stratification structure of urban habitats. In Pervasive Urban Applications Workshop (PURBA '12) at Pervasive 2012.

B.H.Y. Lee and P. Waddell. 2010. Residential mobility and location choice: a nested logit model with sampling of alternatives. Transportation 37, 4 (2010), 587-601.

N. Lefebvre and M. Balmer. 2007. Fast shortest path computation in time-dependent traffic networks. ETH,

¨ ¨ Eidgen¨ ssische Technische Hochschule Zurich, IVT, Institut fur Verkehrsplanung und Transport Sys o teme.

David Liben-Nowell, Jasmine Novak, Ravi Kumar, Prabhakar Raghavan, and Andrew Tomkins. 2005. Geo graphic routing in social networks. Proceedings of the National Academy of Sciences of the United States of America 102, 33 (2005), 11623-11628. DOI:http://dx.doi.org/10.1073/pnas.0503018102Anastasios Noulas, Salvatore Scellato, Renaud Lambiotte, Massimiliano Pontil, and Cecilia Mascolo. 2011. A tale of many cities: universal patterns in human urban mobility. arXiv:1108.5355v4 [physics.soc-ph] (2011).

NTS. 2009. National Travel Survey Report 2009 Central Statistics Office, Government of Ireland. (2009). http://www.cso.ie/en/media/csoie/releasespublications/documents/transport/2009/nattravel09.pdfAlexei Pozdnoukhov and Christian Kaiser. 2011. Space-time dynamics of topics in streaming text. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-

Based Social Networks (LBSN '11). ACM, New York, NY, USA, Article 8, 8 pages. DOI:http://dx.doi.org/10.1145/2063212.206322322:16Adam Sadilek, Henry Kautz, and Jeffrey P. Bigham. 2012. Finding your friends and following them to where you are. In Proceedings of the fifth ACM international conference on Web search and data mining (WSDM '12). ACM, New York, NY, USA, 723-732. DOI:http://dx.doi.org/10.1145/2124295.2124380Filippo Simini, Marta C. Gonzalez, Amos Maritan, and Albert-Laszlo Barabasi. 2012. A uni versal model for mobility and migration patterns. Nature advance online publication (2012). DOI:http://dx.doi.org/doi:10.1038/nature10856´ o

Chaoming Song, Zehui Qu, Nicholas Blumm, and Albert-Laszl´ Barabasi. 2010. Lim´ its of Predictability in Human Mobility. Science 327, 5968 (19 Feb. 2010), 1018-1021. DOI:http://dx.doi.org/10.1126/science.1177170Samuel A. Stouffer. 1940. Intervening Opportunities: A Theory Relating Mobility and Distance. American Sociological Review 5, 6 (1940), 845-867. http://www.jstor.org/stable/2084520Daniele Veneziano and Marta C. Gonzalez. 2011. Trip Length Distribution Under Multiplicative Spatial Models of Supply and Demand: Theory and Sensitivity Analysis. CoRR abs/1101.3719 (2011).

Fergal Walsh and Alexei Pozdnoukhov. 2011. Spatial structure and dynamics of urban communities. The First Workshop on Pervasive Urban Applications (PURBA).

Alan G. Wilson. 1970. Entropy in Urban and Regional Modelling. Pion, London, United Kingdom. http: //www.worldcat.org/isbn/0850860229

Jing Yuan, Yu Zheng, and Xing Xie. 2012. Discovering regions of different functions in a city using human mobility and POIs. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 186-194.

Yu Zheng, Yanchi Liu, Jing Yuan, and Xing Xie. 2011. Urban computing with taxicabs. In Proceedings of the 13th international conference on Ubiquitous computing. ACM, 89-98.

George K. Zipf. 1946. The P1 P2/D Hypothesis: On the Intercity Movement of Persons. American Sociological Review 11, 6 (1946). http://www.jstor.org/stable/2087063