Correlating mobile phone usage and travel behavior - A case study of Harbin, China

Computers, Environment and Urban Systems

Volumn 36, Issue 2, 2012, Pages 118-130

  Yuan, Yihong ^a   Raubal, Martin ^a,b   Liu, Yu ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b ETH ZURICH   (Switzerland)

^c PEKING UNIVERSITY   (China)

Author keywords

Geographic knowledge discovery; Human mobility; Information and communication technologies (ICTs); Mobile phone

Indexed keywords

ACTIVITY BEHAVIOR; BUILT ENVIRONMENT; DATA SETS; HUMAN MOBILITY; INFORMATION AND COMMUNICATION TECHNOLOGIES; PHYSICAL MOVEMENTS; SPATIO-TEMPORAL DATA MINING; TEMPORAL ORDER; TRAVEL BEHAVIORS;

INFORMATION TECHNOLOGY; MOBILE DEVICES; MOBILE PHONES;

CELLULAR TELEPHONES;

DATA MINING; INFORMATION AND COMMUNICATION TECHNOLOGY; MOBILE COMMUNICATION; MOBILITY; STATISTICAL ANALYSIS; TRAVEL BEHAVIOR;

CHINA; HARBIN; HEILONGJIANG;

EID: 84858026251     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2011.07.003     Document Type: Article

References (37)

1. Abler R. Effects of space adjusting technologies on the human geography of the future. North scituate 1975, 35-56. Duxburg Press, MA. R. Abler, D. Janelle, A. Philbrick, J. Sommer (Eds.).
2. Ahas R., Aasa A., Silm S., Aunap R., Kalle H., Mark U. Mobile positioning in space - Time behaviour studies: Social positioning method experiments in Estonia. Cartography and Geographic Information Science 2007, 34(4):259-273.
3. Ahas R., Mark U. Location based services - New challenges for planning and public administration. Futures 2005, 37(6):547-561.
4. Beckman, K. (2000). Umweltgerechtes Verkehrsverhalten beginnt in den Köpfen. In: TüV Energie und Umwelt GmbH (Hrsg.): Mobilitätsforschung für das 21. Jahrhundert: Verkehrsprobleme und Lösungsansätze (pp. 213-238). Köln.
5. Box G.E.P., Draper N.R. Empirical model-building and response surfaces 1987, Wiley, New York.
6. Brown L.A., Moore E.G. The intra-urban migration process: A perspective. Geografiska Annaler 1970, 52(B):1-13.
7. Couclelis H. Pizza over the internet: E-commerce, the fragmentation of activity and the tyranny of the region. Entrepreneurship and Regional Development 2004, 16(1):41-54.
8. De Souza e Silva A. Mobile phones and places: The use of mobile technologies in Brazil. Societies and cities in the age of instant access 2007, 295-310. Springer, Dortdrecht, The Netherlands. H.J. Miller (Ed.).
9. Golledge R.G., Stimson R.J. Spatial behavior: A geographic perspective 1997, Guilford Press, New York.
10. Gonzalez M.C., Hidalgo C.A., et al. Understanding individual human mobility patterns. Nature 2008, 453(7196):779-782.
11. Hägerstrand T. What about people in regional science? Papers of the Regional Science Association 1970, 24:7-21.
12. Hjorthol R.J. The mobile phone as a tool in family life: Impact on planning of everyday activities and car use. Transport Reviews 2008, 28(3):303-320.
13. Horton F., Reynolds D.R. Effects of urban spatial structure on individual behaviour. Economic Geography 1971, 47:36-48.
14. Inselberg A. Parallel coordinates: Visual multidimensional geometry and its applications 2009, Springer, New York.
15. Janelle D. Metropolitan expansion, telecommuting, and transportation. The geography of urban transportation 1995, 407-434. The Guilford Press, New York. S. Hanson (Ed.).
16. Jones P., Koppelman F., Orfueil J.P. Activity analysis: State-of-the-art and future. Developments in dynamic and activity-based approaches to travel analysis 1990, 34-55. Avebury, Aldershot, UK. P. Jones (Ed.).
17. Kwan M.P. Mobile communications, social networks, and urban travel: Hypertext as a new metaphor for conceptualizing spatial interaction. Professional Geographer 2007, 59(4):434-446.
18. Kwan M.P., Dijst M., Schwanen T. The interaction between ICT and human activity-travel behavior. Transportation Research Part A - Policy and Practice 2007, 41(2):121-124.
19. Mazey M.E. The effect of a physio-political barrier upon urban activity space. Ohio Journal of Science 1981, 81(5-6):212-217.
20. Miller H. Geographic data mining and knowledge discovery: An overview. Geographic data mining and knowledge discovery 2009, 3-32. CRC Press, London. 2nd ed. H.J. Miller, J. Han (Eds.).
21. Mokhtarian P.L. If telecommunication is such a good substitute for travel, why does congestion continue to get worse?. Transportation Letters 2009, 1:1-17.
22. Mokhtarian P.L., Meenakshisundaram R. Beyond tele-substitution: Disaggregate longitudinal structural equations modeling of communication impacts. Transportation Research Part C 1999, 7(1):33-52.
23. Mokhtarian P.L., Salomon I. Emerging travel patterns: Do telecommunications make a difference?. Perpetual motion: Travel behavior research opportunities and application challenges 2002, 143-182. Pergamon Press/Elsevier, Oxford, UK. H.S. Mahmassani (Ed.).
24. Nobis C., Lenz B. Communication and mobility behaviour - A trend and panel analysis of the correlation between mobile phone use and mobility. Journal of Transport Geography 2009, 17(2):93-103.
25. Nobis C., Lenz B., Vance C. Communication and travel behaviour: Two facets of human activity patterns. Progress in activity-based analysis 2005, 471-488. Elsevier, Oxford, UK. H. Timmermans (Ed.).
26. Pendyala R.M., Goulias K., Kitamura R. Impact of telecommuting on spatial and temporal patterns of household travel. Transportation 1991, 18:411-432.
27. Phithakkitnukoon S., Horanont T., Di Lorenzo G., Shibasaki R., Ratti C. Activity-aware map: Identifying human daily activity pattern using mobile phone data. Proceedings of the first international workshop on human behaviour understanding (HBU 2010) 2010, 14-25. Springer, Heidelberg. A.A. Salah, T. Gevers, N. Sebe, A. Vinciarelli (Eds.).
28. Raubal M. Cogito ergo mobilis sum: The impact of location-based services on our mobile lives. The SAGE handbook of GIS and society 2011, 159-173. Sage Publications, Los Angeles, London. T. Nyerges, H. Couclelis, R. McMaster (Eds.).
29. Salomon I., Mokhtarian P.L. Can telecommunications help solve transportation problems? A decade later: Are the prospects any better?. The handbook of transport modeling 2008, 519-540. Pergamon, Amsterdam. 2nd ed. D.A. Hensher, K.J. Button (Eds.).
30. Saxena S., Mokhtarian P.L. The impact of telecommuting on the activity spaces of participants. Geographical Analysis 1997, 29:124-144.
31. Schönfelder, S., & Axhausen, K. W. (2002). Measuring the size and structure of human activity spaces the longitudinal perspective, Arbeitsbericht Verkehrs- und Raumplanung, 135, Institut für Verkehrsplanung und Transportsysteme, ETH Zürich, Zürich.
32. Song C.M., Qu Z.H., et al. Limits of predictability in human mobility. Science 2010, 327(5968):1018-1021.
33. Thulin E., Vilhelmson B. Mobiles everywhere: Youth, the mobile phone, and changes in everyday practice. Young 2007, 15(3):235-253.
34. Viswanathan K., Goulias K.G. Travel behavior implications of information and communications technology (ICT) in Puget Sound region. Transportation Research Record 2001, 1752:157-165.
35. Xia, Y. (2005). Integrating uncertainty in data mining. Unpublished Doctoral Dissertation, Los Angeles: University of California.
36. Yuan M. Toward knowledge discovery about geographic dynamics in spatiotemporal databases. Geographic data mining and knowledge discovery 2009, 347-365. CRC Press, London. 2nd ed. H.J. Miller, J. Han (Eds.).
37. Yuan, Y., & Raubal, M. (2010). On correlation between mobile phone usage and travel behavior - A case study of Harbin, China (extended abstract). In Geographic information science - 6th International conference, GIScience 2010, Zurich, Switzerland.