Understanding the variability of daily travel-time expenditures using GPS trajectory data

EPJ Data Science

Volumn 4, Issue 1, 2015, Pages 1-14

  Gallotti, Riccardo ^a   Bazzani, Armando ^b,c   Rambaldi, Sandro ^b,c  

^a CEA SACLAY   (France)

^b UNIVERSITY OF BOLOGNA   (Italy)

^c INFN SEZIONE DI BOLOGNA   (Italy)

Author keywords

duration model; human mobility; individual travel behaviour; time perception; travel time budget; value of time; Weber Fechner law

Indexed keywords

BUDGET CONTROL; GLOBAL POSITIONING SYSTEM; PHYSIOLOGICAL MODELS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TRANSPORTATION;

DURATION MODELING; HUMAN MOBILITY; TIME PERCEPTION; TRAVEL BEHAVIOUR; TRAVEL TIME BUDGETS; VALUE OF TIME; WEBER-FECHNER LAWS;

TRAVEL TIME;

EID: 84958752638     PISSN: None     EISSN: 21931127     Source Type: Journal    
DOI: 10.1140/epjds/s13688-015-0055-z     Document Type: Article

References (36)

1. González MC, Hidalgo CA, Barabási AL (2008) Understanding individual human mobility patterns. Nature 453:779-782
2. Song C, Koren T, Wang P, Barabási A-L (2010) Modelling the scaling properties of human mobility. Nat Phys 6:818-823
3. Cheng Z, Caverlee J, Lee K, Sui DZ (2011) Exploring millions of footprints in location sharing services. In: ICWSM-11, pp 81-88
4. Noulas A, Scellato S, Lambiotte R, Pontil M, Mascolo C (2012) A tale of many cities: universal patterns in human urban mobility. PLoS ONE 7(5):e37027
5. Vespignani A (2012) Modelling dynamical processes in complex socio-technical systems. Nat Phys 8:32-39
6. Hawelka B, Sitko I, Beinat E, Sobolevsky S, Kazakopoulos P, Ratti C (2014) Geo-located Twitter as proxy for global mobility patterns. Cartogr Geogr Inf Sci 41(3):260-271
7. Lenormand M, Picornell M, Cantù-Ros OG, Tugores A, Louail T, Herranz R, Barthelemy M, Frías-Martínez E, Ramasco JJ (2014) Cross-checking different sources of mobility information. PLoS ONE 9(8):e105184
8. Axhausen KW (2008) Social networks, mobility biographies, and travel: survey challenges. Environ Plan B 35:981-996
9. Zahavi Y (1974) Traveltime budget and mobility in urban areas. US Department of Transportation, Washington, DC
10. Stopher PR, Zhang Y (2011) Travel time expenditures and travel time budgets - preliminary findings. Working paper ITLS-WP-11-04, Institute of Transport and Logistics Studies, The University of Sydney
11. Marchetti C (1994) Anthropological invariants in travel behavior. Technol Forecast Soc Change 47:75-88
12. Kung KS, Greco K, Sobolevsky S, Ratti C (2014) Exploring universal patterns in human home-work commuting from mobile phone data. PLoS ONE 9:e96180
13. Mokhtarian PL, Chen C (2004) TTB or not TTB, that is the question: a review and analysis of the empirical literature on travel time (and money) budgets. Transp Res, Part A 38:643-675
14. Cervero R (2011) Beyond travel time savings: an expanded framework for evaluating urban transport projects. Transport Research Support, World Bank/DFID
15. Metz D (2008) The myth of travel time saving. Transp Rev 28:321-336
16. Toole-Holt L, Polzin SE Pendyala RM (2005) Two minutes per person per day each year: exploration of growth in travel time expenditures. Transp Res Rec 1917:45-53
17. van Wee B, Rietveld P, Meurs H (2006) Is average daily travel time expenditure constant? In search of explanations for an increase in average travel time. J Transp Geogr 14:109-122
18. Milthorpe F (2007) Consistency in daily travel time - an empirical assessment from Sydney travel surveys. In: Proceedings of the 30th Australasian transport research forum
19. Louf R, Barthelemy M (2014) How congestion shapes cities: from mobility patterns to scaling. Sci Rep 4:5561
20. Gallotti R, Bazzani A, Rambaldi S (2012) Toward a statistical physics of human mobility. Int J Mod Phys C 23:1250061
21. Gallotti R, Bazzani A, Rambaldi S, Barthelemy M (2015) How transportation hierarchy shapes human mobility. arXiv:1509.03752
22. Hansen W (1959) How accessibility shapes land use. J Am Inst Plann 25:73-76
23. Kölbl R, Helbing D (2003) Energy laws in human travel behaviour. New J Phys 5:48.1-48.12
24. Bazzani A, Giorgini B, Rambaldi S, Gallotti R, Giovannini L (2010) Statistical laws in urban mobility from microscopic GPS data in the area of Florence. J Stat Mech Theory Exp 2010:P05001
25. Liang X, Zheng X, Lv W, Zhu T, Xu K (2012) The scaling of human mobility by taxis is exponential. Physica A 391:2135-2144
26. Liang X, Zhao J, Dong L, Xu K (2012) Unraveling the origin of exponential law in intra-urban human mobility. Sci Rep 3:2983
27. Bettencourt LMA, Lobo J, Helbing D, Künert C, West GB (2007) Growth, innovation, scaling, and the pace of life in cities. Proc Natl Acad Sci USA 104:7301-7306
28. Yan X-Y, Han X-P, Wang B-H, Zhou T (2013) Diversity of individual mobility patterns and emergence of aggregated scaling laws. Sci Rep 3:2678
29. Gallotti R (2013) Statistical physics and modeling of human mobility. PhD thesis, University of Bologna, Italy
30. Dehaene S (2003) The neural basis of the Weber-Fechner law: a logarithmic mental number line. Trends Cogn Sci 7:145-147
31. Domencich T, McFadden D (1975) Urban travel demand: a behavioral analysis. North-Holland, Amsterdam
32. Takahashi T, Hidemi O, Radford MHB (2008) Psychophysics of time perception and intertemporal choice models. Physica A 387:2066-2074
33. Helbing D (2010) Quantitative sociodynamics. Springer, Berlin
34. Bazzani A, Giorgini B, Giovannini L, Gallotti R, Marchioni M, Rambaldi S (2011) Towards congestion detection in transportation networks using GPS data. In: IEEE international conference on privacy, security, risk, and trust, and IEEE international conference on social computing
35. Juan Z, Xianyu J (2010) Daily travel time analysis with duration model. J Transp Syst Eng Inf Technol 10:62-67
36. Proekt A, Banavar JR, Maritan A, Pfaff DW (2012) Scale invariance in the dynamics of spontaneous behavior. Proc Natl Acad Sci USA 109:10564-10569