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First published online January 1, 2013

Mixed Multinomial Logit Model for Out-of-Home Leisure Activity Choice

Abstract

The design and the results of a study of the factors that influence the choice of out-of-home leisure activities are presented. Influencing factors appear to be related to sociodemographic characteristics, personal preferences, characteristics of the built environment, and other aspects of the activities themselves, such as transport mode and day of the week. The Dutch continuous time–use research data on leisure activities for 2008 to 2009 were used for estimating a mixed multinomial logit model that accounts for heterogeneity in individuals’ preferences. The model formulation also allows analysis of substitution and complementarity between the types of activities. Results indicate differences in behavior between people with different sociodemographic characteristics, especially regarding the life-cycle stage, which is a variable composed by age and household composition. The built environment exerts a slight influence on the choice of leisure activity purpose, whereas travel party has a strong influence. For substitution and complementary relationships between activity purposes, although outdoor leisure decreases the propensity to perform sports or hobbies–courses activities, such leisure increases the propensity to perform fun shopping and going-out or cultural activities. Limitations of the study are discussed.

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References

1. Fesenmaier D. R., and Jeng J. M. Assessing Structure in the Pleasure Trip Planning Process. Tourism Analysis, Vol. 5, No. 1, 2000, pp. 13–27.
2. Kemperman A., Borgers A., and Timmermans H. Incorporating Variety Seeking and Seasonality in Stated Preference Modeling of Leisure Trip Destination Choice. Test of External Validity. In Transportation Research Record: Journal of the Transportation Research Board, No. 1807, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 67–76.
3. Janke M., Davey A., and Kleiber D. Modeling Change in Older Adults’ Leisure Activities. Leisure Sciences, Vol. 28, 2006, pp. 285–303.
4. Mobiliteitsbalans 2010. Kennisinstituut voor Mobiliteitsbeleid, The Hague, Netherlands, 2010.
5. Lu X., and Pas E. I. Socio-Demographics, Activity Participation and Travel Behavior. Transportation Research A, Vol. 33, No. 1, 1999, pp. 1–18.
6. Lawson C. T. Leisure Travel/Activity Decisions: Time and Allocation Differences. Transportation Quarterly, Vol. 55, 2001, pp. 51–61.
7. Kemperman A. D. A. M., and Timmermans H. J. P. Influence of Socio-Demographics and Residential Environment on Leisure Activity Participation. Leisure Sciences, Vol. 30, 2008, pp. 306–324.
8. Glaeser E. L., and Gottlieb J. D. Urban Resurgence and the Consumer City. Urban Studies, Vol. 43, 2006, pp. 1275–1299.
9. Farag S., and Lyons G. To Use or Not to Use? An Empirical Study of Pre-Trip Public Transport Information for Business and Leisure Trips and Comparison with Car Travel. Transport Policy, forthcoming.
10. Bhat C. R., and Misra R. Discretionary Activity Time Allocation of Individuals Between In-Home and Out-of-Home Across Working Days and Non-Working Days. Transportation, Vol. 26, No. 2, 1999, pp. 211–230.
11. LaMondia J. J., and Bhat C. R. A Conceptual and Methodological Framework of Leisure Activity Loyalty Accommodating the Travel Context. Transportation, Vol. 39, 2012, pp. 321–349.
12. Kemperman A. D. A. M., Ponjé M. M. W., and Timmermans H. J. P. Analysing Heterogeneity and Substitution in Trip Making Propensity to Urban Parks: A Mixed Logit Model. Tourism Analysis, Vol. 10, No. 3, 2005, pp. 223–232.
13. Bhat C. R., and Gossen R. A Mixed Multinomial Logit Model Analysis of Weekend Recreational Episode Type Choice. Transportation Research B, Vol. 38, No. 9, 2004, pp. 767–787.
14. Kemperman A. D. A. M., and Timmermans H. J. P. Preferences, Benefits, and Park Visits: A Latent Class Segmentation Analysis. Tourism Analysis, Vol. 11, No. 4, 2006, pp. 221–230.
15. Siderelis C., and Moore R. L. Recreation Demand and the Influence of Site Preference Variables. Journal of Leisure Research, Vol. 30, No. 3, 1998, pp. 301–318.
16. Sener I. N., Bhat C. R., and Pendyala R. M. When, Where, How Long, and with Whom Are Individuals Participating in Physically Active Recreational Episodes? Transportation Letters, Vol. 3, No. 3, 2011, pp. 201–217.
17. Cerin E., and Leslie E. How Socio-Economic Status Contributes to Participation in Leisure-Time Physical Activity. Social Science and Medicine, Vol. 66, 2008, pp. 2596–2609.
18. Annear M. J., Cushman G., and Gidlow B. Leisure Time Physical Activity Differences Among Older Adults from Diverse Socioeconomic Neighborhoods. Health and Place, Vol. 15, 2009, pp. 482–490.
19. Janke M., Davey A., and Kleiber D. Modeling Change in Older Adults’ Leisure Activities. Leisure Sciences, Vol. 28, 2006, pp. 285–303.
20. Glaeser E. L., and Gottlieb J. D. Urban Resurgence and the Consumer City. Urban Studies, Vol. 43, 2006, pp. 1275–1299.
21. Ferdous N., Eluru N., Bhat C. R., and Meloni I. A Multivariate Ordered-Response Model System for Adult's Weekday Activity Episode Generation by Activity Purpose and Social Context. Transportation Research B, Vol. 44, No. 8, 2010, pp. 922–943.
22. Pozsgay M. A., and Bhat C. R. Destination Choice Modeling for Home-Based Recreational Trips: Analysis and Implications for Land Use, Transportation, and Air Quality Planning. In Transportation Research Record: Journal of the Transportation Research Board, No. 1777, TRB, National Research Council, Washington, D.C., 2002, pp. 47–54.
23. Kaplan R., and Austin M. E. Out in the Country: Sprawl and the Quest for Nature Nearby. Landscape and Urban Planning, Vol. 69, 2004, pp. 235–243.
24. Wong K. K. Urban Park Visiting Habits and Leisure Activities of Residents in Hong Kong, China. Managing Leisure, Vol. 14, No. 2, 2009, pp. 125–140.
25. Limtanakool N., Dijst M., and Schwanen T. The Influence of Socio-economic Characteristics, Land Use and Travel Time Considerations on Mode Choice for Medium- and Longer-Distance Trips. Journal of Transport Geography, Vol. 14, 2006, pp. 327–341.
26. Georggi N. L., and Pendyala R. M. Analysis of Long-Distance Travel Behavior of the Elderly and Low Income. Presented at 78th Annual Meeting of the Transportation Research Board, Washington, D.C., 1999.
27. Srinivasan S., and Bhat C. R. Companionship for Leisure Activities: An Empirical Analysis Using the American Time Use Survey. Proc. Innovations in Travel Demand Modeling Conference, Austin, Tex., 2006.
28. Steed J. L., and Bhat C. R. On Modeling Departure-Time Choice for Home-Based Social/Recreational and Shopping Trips. In Transportation Research Record: Journal of the Transportation Research Board, No. 1706, TRB, National Research Council, Washington, D.C., 2000, pp. 152–159.
29. Tarigan A. K. M., and Kitamura R. Week-to-Week Leisure Trip Frequency and Its Variability. In Transportation Research Record: Journal of the Transportation Research Board, No. 2135, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 43–51.
30. Wells W., and Gubar G. Life Cycle Concept in Marketing Research. Journal of Marketing Research, Vol. 3, No. 4, 1966, pp. 355–363.
31. Lawson C. T. Leisure Travel/Activity Decisions: Time and Allocation Differences. Transportation Quarterly, Vol. 55, 2001, pp. 51–61.
32. Fodness D. The Impact of Family Life Cycle on the Vacation Decision-Making Process. Journal of Travel Research, Vol. 31, No. 2, 1992, pp. 8–13.
33. Huntsinger L. F., and Rouphail N. M. Value of Life Cycle in Explaining Trip-Making Behavior and Improving Temporal Stability of Trip Generation Models. In Transportation Research Record: Journal of the Transportation Research Board, No. 2322, Transportation Research Board of the National Academies, Washington, D.C., 2012, pp. 60–69.
34. Bhat C. R. Quasi-Random Maximum Simulated Likelihood Estimation of the Mixed Multinomial Logit Model. Transportation Research B, Vol. 35, No. 7, 2001, pp. 677–693.
35. Greene W. H. NLOGIT Version 4.0: Reference Guide. Econometric Software, Plainview, N.Y., 2007.

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Article first published online: January 1, 2013
Issue published: January 2013

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© 2013 National Academy of Sciences.
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Authors

Affiliations

Anna B. Grigolon
Department of the Built Environment, Unit USS–Urban Science and Systems, Urban Planning Group, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, Netherlands.
Astrid D. A. M. Kemperman
Department of the Built Environment, Unit USS–Urban Science and Systems, Urban Planning Group, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, Netherlands.
Harry J. P. Timmermans
Department of the Built Environment, Unit USS–Urban Science and Systems, Urban Planning Group, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, Netherlands.

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