A two-level multiple discrete-continuous model of time allocation to virtual and physical activities

Transportmetrica

Volumn 7, Issue 6, 2011, Pages 395-416

  Wang, Donggen ^a   Li, Jiukun ^b  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^b BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Activity participation; Physical space; Time allocation; Two level multiple discrete continuous model; Virtual space

Indexed keywords

ACTIVITY PARTICIPATION; BI-DIRECTIONAL INTERACTION; ESTIMATION ALGORITHM; HONG-KONG; PHYSICAL ACTIVITY; PHYSICAL SPACE; SPATIAL FACTORS; TIME ALLOCATION; TIME USE; VIRTUAL SPACES;

EID: 80052825834     PISSN: 18128602     EISSN: None     Source Type: Journal    
DOI: 10.1080/18128602.2010.520138     Document Type: Article

References (34)

1. Balepur, R.N., Varma, K.V., and Mokhtarian, P.L., 1998. Transportation impacts of center-based telecommuting: interim findings from the neighborhood telecenters project. Transportation, 25, 287-306.
2. Ben-Akiva, M. and Lerman, S.R., 1989. Discrete choice analysis: theory and application to travel demand. Cambridge, MA: The MIT Press.
3. Bhat, C.R., 2005. A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions. Transportation Research Part B, 39, 679-707.
4. Bhat, C.R., 2008. The multiple discrete-continuous extreme value (MDCEV) model: role of utility function parameters, identification considerations and model extensions. Transportation Research Part B, 42, 274-303.
5. Bhat, C. and Koppelman, F.S., 1999. A retrospective and prospective survey of time-use research. Transportation, 26, 119-139.
6. Bhat, C.R., Srinivasan, S., and Sen, S., 2006. A joint model for the perfect and imperfect substitute goods case: application to activity time-use decisions. Transportation Research Part B, 40, 827-850.
7. Chintagunta, P.K., 1993. Investigating purchase incidence, brand and purchase quantity decisions of household. Marketing Science, 12, 194-208.
8. Dijst, M., 2006. ICT and social networks: towards a situational perspective on the interaction between corporeal and connected presence. Paper presented at the 11th International Conference on Travel Behaviour Research (IATBR), 16-20 August 2006, Kyoto, Japan.
9. Dijst, M., Hubers, C., and Schwanen, T., 2007. Temporal and spatial fragmentation: conceptualization, methodology and empirical evidence. Paper presented at the 2007 annual meeting of the American Association of Geographers, 17-21 April 2007, San Francisco, USA.
10. Douma, F., et al., 2004. ICT and travel in the twin cities metropolitan area: enacted patterns between Internet use and working and shopping trips. Paper presented at the 83rd annual meeting of transportation research board, 11-15 January 2004, Washington, DC, USA.
11. Dubin, J.A. and McFadden, D.L., 1984. An econometric analysis of residential electric appliance holdings and consumption. Econometrica, 52 (2), 345-362.
12. Fang, K.T. and Wang, Y., 1994. Number-theoretic methods in statistics. London: Chapman and Hall.
13. Farag, S., et al., 2004. E-shopping in the Netherlands: does geography matter? Paper presented at the 83rd annual meeting of transportation research board, Washington, DC, USA.
14. Farag, S., et al., 2007. Shopping online and/or in store? A structural equation model of the relationships between e-shopping and in-store shopping. Transport Research Part A, 41 (2), 125-141.
15. Habib, K.M.N. and Miller, E.J., 2009. Modeling activity generation: a utility-based model for activity-agenda formation. Transportmetrica, 5 (1), 3-23.
16. Hamer, R., Kroes, E., and Van Ooststroom, H., 1991. Teleworking in the Netherlands: an evaluation of changes in travel behavior. Transportation, 18, 365-382.
17. Hjorthol, R.J., 2002. The relation between daily travel and use of the home computer. Transportation Research Part A, 36, 437-452.
18. Kenyon, S. and Lyons, G., 2007. Introducing multitasking to the study of travel and ICT: examing its extent and assessing its potential importance. Transportation Research Part A, 41, 161-175.
19. Kim, J., Allenby, G.M., and Rossi, P.E., 2002. Modeling customer demand for variety. Marketing Science, 21 (3), 229-250.
20. Kim, T.G. and Goulias, K.G., 2004. Cross sectional and longitudinal relationships among information and telecommunication technologies, daily time allocation to activity and travel, and modal split using structural equation modeling. Paper presented at the 83rd annual meeting of transportation research board, Washington, DC, USA.
21. Kwan, M.P., Dijst, M., and Schwanen, T., 2007. The interaction between ICT and human activitytravel behavior. Transportation Research Part A, 41, 121-124.
22. Lenz, B. and Nobis, C., 2007. The changing allocation of activities in space and time by the use of ICT: fragmentation as a new concept and empirical results. Transportation Research Part A, 41, 190-204.
23. Mokhtarian, P.L., 2003. Telecommunications and travel: the case for complementarity. Journal of Industrial Ecology, 6, 43-57.
24. Mokhtarian, P.L., 2004. A conceptual analysis of the transportation impacts of B2C e-commerce. Transportation, 31, 257-284.
25. Pas, E.I., 1984. The effect of selected sociodemographic characteristics on daily travel-activity behavior. Environment and Planning A, 16, 571-581.
26. Pendyala, R.M., Goulias, K.G., and Kitamura, R., 1991. Impact of telecommuting on spatial and temporal pattern of household travel. Transportation, 18, 383-409.
27. Pinjari, A.R. and Bhat, C.R., 2008. A multiple discrete-continuous nested extreme value (MDCNEV)model: formulation and application to non-worker activity time-use and timing behavior on weekdays. Technical paper, Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, USA.
28. Salomon, I., 1985. Telecommunications and travel: substitution or modified mobility? Journal of Transport Economic and Policy, 19, 219-235.
29. Selvanathan, E.A. and Selvanathan, S., 1994. The demand for transport and communication in the United Kingdom and Australia. Transportation Research Part B, 28, 1-99.
30. Snijders, T.A.B., 1992. Estimation on the basis of snowball samples: how to weight? Bulletin de Methodologie Sociologique, 36, September, 59-70.
31. Srinivasan, K.K. and Athuru, S.R., 2004. Modelling interaction between internet communication and travel activities: evidence from Bay Area, California, travel survey 2000. In: Transportation Research Record: Journal of Transportation Research Board No. 1894, TRB, National Research Council, Washington, DC, USA, 230-240.
32. Vilhelmson, B. and Thulin, E., 2001. Is regular work at fixed places fading away? The development of ICT-based and travel-based modes of work in Sweden. Environment and Planning A, 33, 1015-1029.
33. Visser, E.J. and Lanzendorf, M., 2004. Mobility and accessibility effects of b2c e-commerce: a literature survey. Journal of Social and Economic Geography, 95, 189-205.
34. Wang, D. and Law, Y.T., 2007. Impacts of information and communication technologies (ICT) on time use and travel behavior: a structural equations analysis. Transportation, 34, 513-527.