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Studying the relationship between activity participation, social networks, expenditures and travel behavior on leisure activities

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Abstract

In the context of an increasing interest in understanding travel for non-mandatory activities, such as recreation and socializing, this work focuses on studying the relationships between activity participation, social networks, and expenditures in daily travel patterns associated with leisure activities in order to understand people’s strategies for performing activities in daily life. Using a 7-day time use diary from a resident sample of Concepción, Chile, along with information about people’s socio-demography, social network and expenditure behavior, structural equations models were estimated to study the role of social networks on people’s space–time and monetary patterns. The results suggest a positive relationship between people’s interaction with their social networks, their expenditure levels, and their space–time activity patterns. The analysis adds empirical evidence towards a better understanding of people’s decision-making processes by using a time use and a social networks approach. The model results reveal that out-of-home leisure time has a strong impact on the interactions with alters and monetary expenditures. In this context, “with whom” and how much time someone spends doing a specific activity act as key intermediary dimensions to explain leisure activity participation and travel behavior.

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References

  • Asparouhov, T.: Sampling weights in latent variables modelling. Struct. Equ. Model. 12(3), 411–434 (2005)

    Google Scholar 

  • Axhausen, K.W.: Activity space, biographies, social networks and welfare gains and externalities: some hypotheses and empirical results. Mobilities 2, 15–35 (2007)

    Google Scholar 

  • Bilodeau, M., Brenner, D.: Theory of Multivariate Statistics. Springer, New York (1999)

    Google Scholar 

  • Carrasco, J.A., Miller, E.J.: Exploring the propensity to perform social activities: social networks approach. Transportation 33, 463–480 (2006)

    Google Scholar 

  • Carrasco, J.A., Miller, E.J.: The social dimension in action: a multilevel, personal networks model of social activity frequency. Transp. Res. Part A 43, 90–104 (2009)

    Google Scholar 

  • Carrasco, J.A., Cid-Aguayo, B.: Network capital, social networks, and travel: an empirical illustration from Concepción, Chile. Environ. Plan. A 44(5), 1066–1084 (2012)

    Google Scholar 

  • Carrasco, J.A., Hogan, B., Wellman, B., Miller, E.J.: Collecting social network data to study social activity-travel behaviour: An egocentric approach. Environ. Plan. B 35(6), 961–980 (2008)

    Google Scholar 

  • Cass, N., Shove, E., Urry, J.: Social exclusion, mobility and access. Sociol. Rev. 53(3), 539–555 (2005)

    Google Scholar 

  • Chung, J.-H., Ahn, Y.: Structural equation models of day-to-day activity participation and travel behavior in a developing country. Transp. Res. Rec. 1807, 109–118 (2002)

    Google Scholar 

  • Dharmowijoyo, D.B., Susilo, Y.O., Karlström, A.: Relationships among discretionary activity duration, its travel time spent and activity space indices in the Jakarta Metropolitan Area, Indonesia. J. Transp. Geogr. 54, 146–160 (2016)

    Google Scholar 

  • Dharmowijoyo, D.B., Susilo, Y.O., Karlström, A.: On complexity and variability of individuals’ discretionary activities. Transportation 45, 177–204 (2018)

    Google Scholar 

  • Donner, A., Klar, N.: Design and Analysis of Cluster Randomization Trials in Health Research. Wiley, London (2000)

    Google Scholar 

  • Golob, F.: Structural equation modeling for travel behavior research. Transp. Res. Part B 37, 1–25 (2003)

    Google Scholar 

  • Golob, T.F., McNally, M.G.: A model of activity participation and travel interactions between Household Heads. Transp. Res. Part B 31, 177–194 (1997)

    Google Scholar 

  • Habib, K.N., Carrasco, J.A., Miller, E.J.: Social context of activity scheduling: Discrete-continuous model of relationship between “with whom” and episode start time and duration. Transp. Res. Rec. J. Transp. Res. Board 2076, 81–87 (2008)

    Google Scholar 

  • Hägerstrand, T.: What about people in regional science? In: Ninth European Congress of Regional Science Association, Copenhagen (1970)

  • Hedges, E., Hedberg, L.: Intraclass correlation values for planning group-randomized trial in education. Educ. Eval. Policy Anal. 29(1), 60–87 (2002)

    Google Scholar 

  • Jara-Díaz, S.: On the goods–activities technical relations in the time allocation theory. Transportation 30(3), 245–260 (2003)

    Google Scholar 

  • Jara-Díaz, S., Astroza, S.: Revealed willingness to pay for leisure. Transp. Res. Rec. 2382, 75–82 (2013)

    Google Scholar 

  • Jara-Díaz, S., Munizaga, M., Greeven, P., Guerra, R., Axhausen, K.: Estimating the value of leisure from a time allocation model. Transp. Res. Part B 42(10), 946–957 (2008)

    Google Scholar 

  • Kauermann, G., Carroll, R.J.: A note on the efficiency of sandwich covariance matrix estimation. J. Am. Stat. Assoc. 96, 1387–1396 (2001)

    Google Scholar 

  • Kim, H.J., Kim, D.H., Chung, J.-H.: Weekend activity and travel behavior in a developing country. Empirical study using multilevel structural equation models. Transp. Res. Rec. 1894, 99–108 (2004)

    Google Scholar 

  • Konduri, K.C., Astroza, S., Sana, B., Pendyala, R.M., Jara-Díaz, S.: Joint analysis of time use and consumer expenditure data: examination approaches to deriving values of time. Transp. Res. Rec. 2231, 53–60 (2011)

    Google Scholar 

  • Kowald, M., Van Den Berg, P.A., Carrasco, J.A., Arentze, T., Axhausen, K., Mo, D., Timmermans, H., Wellman, B.: Distance patterns of personal networks in four countries: a comparative study. J. Transp. Geogr. 31, 236–248 (2012)

    Google Scholar 

  • Kuppam, A.R., Pendyala, R.M.: A structural equations analysis of commuters’ activity and travel patterns. Transportation 28, 33–54 (2001)

    Google Scholar 

  • Lee, Y., Hickman, M., Washington, S.: Household type and structure, time use pattern, and trip chaining behaviour. Transp. Res. Part A 41, 1004–1020 (2007)

    Google Scholar 

  • Lehtonen, R., Pahkinen, E.: Practical Methods for Design and Analysis of Complex Surveys. Wiley, Chichester (2004)

    Google Scholar 

  • Lu, X., Pas, E.: Socio-demographics, activity participation and travel behavior. Transp. Res. Part A 33, 1–18 (1999)

    Google Scholar 

  • Lucas, K., Bates, J., Moore, J., Carrasco, J.A.: Modelling the relationship between travelbehaviours and social disadvantage. Transp. Res. Part A Policy Pract. 85, 157–173 (2016)

    Google Scholar 

  • Maat, K., Timmermans, H.: A causal model relating urban form with daily travel distance through activity/travel decisions. Transp. Plan. Technol. 32(2), 115–134 (2009)

    Google Scholar 

  • Manoj, M., Verma, A.: A structural equation model based analysis of non-workers’s activity-travel behaviour from a city of a developing country. Transportation 44(2), 241–269 (2017)

    Google Scholar 

  • Moore, J., Carrasco, J.A., Tudela, A.: Exploring the links between personal networks, time use, and the spatial distribution of social contacts. Transportation 40, 773–788 (2013)

    Google Scholar 

  • Muthén, L.K., Muthén, B.O.: Mplus User’s Guide, 7th edn. Muthén & Muthén, Los Angeles (2015)

    Google Scholar 

  • Muthén, B., Satorra, A.: Complex sample data in structural equation modeling. Sociol. Methodol. 25, 267–316 (1995)

    Google Scholar 

  • Neutens, T., Schwanen, T., Witlox, F.: The prism of everyday life: towards a new research agenda for Time Geography. Trans. Transdiscipl. J. 31(1), 25–47 (2011)

    Google Scholar 

  • Rabe-Hesketh, S., Skrondal, A.: Multilevel modelling of complex survey data. J. R. Stat. Soc. Ser. A Stat. Soc. 169, 805–827 (2006)

    Google Scholar 

  • Rösel, I., Hössinger, R., Kreis, B., Aschauer, F., Gerike, R.: Time use, mobility, expenditure: an innovative survey design for understanding individuals’ trade-off processes. In: IATBR 2015—14th International Conference on Travel Behaviour Research, London, England (2015)

  • Schwanen, T., Kwan, M.P., Ren, F.: How fixed is fixed? Gendered rigidity of spacetime constraints and geographies of everyday activities. Geoforum 39, 2109–2121 (2008)

    Google Scholar 

  • SECTRA: Actualización y recolección de información del sistema de transporte urbano, IX Etapa: Encuesta Origen Destino Santiago 2012. Transport Planning Office. Transport and Telecommunications Ministry. Chile (2014) (In Spanish)

  • Susilo, Y.O., Dijst, M.: How far is too far? Travel time ratios for activity participations in the Netherlands. Transp. Res. Rec. 2134, 89–98 (2009)

    Google Scholar 

  • Susilo, Y., Kitamura, R.: Analysis of day-to-day variability in an individual’s action space: exploration of 6-week Mobidrive travel diary data. Transp. Res. Rec. 1902, 124–133 (2005)

    Google Scholar 

  • Train, K., McFadden, D.: The goods-leisure trade-off and disaggregate work trip mode choice models. Transp. Res. 12(5), 349–353 (1978)

    Google Scholar 

  • Urry, J.: Social networks, travel, and talk. Br. J. Sociol. 54(2), 155–175 (2003)

    Google Scholar 

  • Zerubavel, E.: The Seven Day Circle—The History and Meaning of the Week. The Free Press, New York (1985)

    Google Scholar 

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Acknowledgements

On behalf of all authors, the corresponding author states that there is no conflict of interest. An earlier version of this paper was presented at the 97th Transportation Research Board Meeting. We acknowledge the comments by anonymous reviewers, which helped to improve this paper. This research was funded by the Chilean Research, Science, and Technology Council, projects CONICYT/FONDAP/15110020, “Center for Sustainable Urban Development” (CEDEUS) and Fondecyt 1171113.

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Authors and Affiliations

  1. Department of Civil Engineering, Universidad de La Frontera, Francisco Salazar 1145, Temuco, Chile

    Maximiliano Lizana

  2. Department of Civil Engineering, Universidad de Concepción, P.O. Box 160-C, Concepción, Chile

    Juan-Antonio Carrasco & Alejandro Tudela

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  1. Maximiliano Lizana
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  2. Juan-Antonio Carrasco
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  3. Alejandro Tudela
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Correspondence to Juan-Antonio Carrasco.

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Lizana, M., Carrasco, JA. & Tudela, A. Studying the relationship between activity participation, social networks, expenditures and travel behavior on leisure activities. Transportation 47, 1765–1786 (2020). https://doi.org/10.1007/s11116-019-09980-y

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