IDEAS home Printed from https://ideas.repec.org/a/eee/eejocm/v42y2022ics1755534521000737.html
   My bibliography  Save this article

Modeling the relationship between food purchasing, transport, and health outcomes: Evidence from Concepcion, Chile

Author

Listed:
  • Astroza, Sebastian
  • Guarda, Pablo
  • Carrasco, Juan Antonio

Abstract

Motivated by the interest in the contextual role of transport in health outcomes, this paper explores the relationship between these two dimensions and food purchasing patterns in the city of Concepción, Chile. The modeling framework corresponds to a Generalized Heterogeneous Data Model, composed of a structural equation and a measurement equation model. Socio-demographic variables and constructs are used to study the relationship between food purchasing patterns (store type choice and frequency), transportation patterns (purchasing usual mode), and health (body mass index, BMI). Individual's healthy lifestyle propensities and time pressure are defined as latent constructs. The results identify how key socio-demographic characteristics, such as age and income, are crucial to understanding store type choice and frequency, controlling the built environment's role in-store supply and distance from home. These variables also influence transportation patterns and health outcomes. The model also captures the endogenous effects among the three dimensions of interest, finding a statistically significant impact of the transportation mode on food purchasing patterns through the interaction with distance. No direct effects were found between BMI and transport patterns when including the latent constructs. This result suggests that promoting active transportation may not necessarily lead to better health. Health-conscious individuals engage in active transport, taking care of their diet, and seeking a healthy daily routine.

Suggested Citation

  • Astroza, Sebastian & Guarda, Pablo & Carrasco, Juan Antonio, 2022. "Modeling the relationship between food purchasing, transport, and health outcomes: Evidence from Concepcion, Chile," Journal of choice modelling, Elsevier, vol. 42(C).
    • Handle: RePEc:eee:eejocm:v:42:y:2022:i:c:s1755534521000737
    DOI: 10.1016/j.jocm.2021.100341
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1755534521000737
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jocm.2021.100341?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ettema, Dick & Schwanen, Tim, 2012. "A relational approach to analysing leisure travel," Journal of Transport Geography, Elsevier, vol. 24(C), pages 173-181.
    2. Jerry Shannon, 2016. "Beyond the Supermarket Solution: Linking Food Deserts, Neighborhood Context, and Everyday Mobility," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(1), pages 186-202, January.
    3. Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
    4. von Haefen, Roger H. & Phaneuf, Daniel J., 2003. "Estimating preferences for outdoor recreation:: a comparison of continuous and count data demand system frameworks," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 612-630, May.
    5. Sergio Jara-Díaz & Marcela Munizaga & Javiera Olguín, 2013. "The role of gender, age and location in the values of work behind time use patterns in Santiago, Chile," Papers in Regional Science, Wiley Blackwell, vol. 92(1), pages 87-102, March.
    6. Bhat, Chandra R., 2015. "A new generalized heterogeneous data model (GHDM) to jointly model mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 50-77.
    7. Venn, Danielle & Strazdins, Lyndall, 2017. "Your money or your time? How both types of scarcity matter to physical activity and healthy eating," Social Science & Medicine, Elsevier, vol. 172(C), pages 98-106.
    8. Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
    9. Cannuscio, Carolyn C. & Hillier, Amy & Karpyn, Allison & Glanz, Karen, 2014. "The social dynamics of healthy food shopping and store choice in an urban environment," Social Science & Medicine, Elsevier, vol. 122(C), pages 13-20.
    10. Lavieri, Patrícia S. & Bhat, Chandra R., 2019. "Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 242-261.
    11. Bhat, Chandra R. & Astroza, Sebastian & Bhat, Aarti C. & Nagel, Kai, 2016. "Incorporating a multiple discrete-continuous outcome in the generalized heterogeneous data model: Application to residential self-selection effects analysis in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 52-76.
    12. Daniel S. Hamermesh & Jungmin Lee, 2007. "Stressed Out on Four Continents: Time Crunch or Yuppie Kvetch?," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 374-383, May.
    13. Benjamin Motte-Baumvol & Olivier Bonin & Leslie Belton-Chevallier, 2017. "Who escort children: mum or dad? Exploring gender differences in escorting mobility among parisian dual-earner couples," Transportation, Springer, vol. 44(1), pages 139-157, January.
    14. Sarah Brown & William Greene & Mark Harris, 2020. "A novel approach to latent class modelling: identifying the various types of body mass index individuals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 983-1004, June.
    15. Yingling Fan, 2017. "Household structure and gender differences in travel time: spouse/partner presence, parenthood, and breadwinner status," Transportation, Springer, vol. 44(2), pages 271-291, March.
    16. Giovanni Vecchio & Ignacio Tiznado-Aitken & Ricardo Hurtubia, 2020. "Transport and equity in Latin America: a critical review of socially oriented accessibility assessments," Transport Reviews, Taylor & Francis Journals, vol. 40(3), pages 354-381, May.
    17. Bhat, Chandra R. & Castro, Marisol & Pinjari, Abdul Rawoof, 2015. "Allowing for complementarity and rich substitution patterns in multiple discrete–continuous models," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 59-77.
    18. Widener, Michael J. & Farber, Steven & Neutens, Tijs & Horner, Mark, 2015. "Spatiotemporal accessibility to supermarkets using public transit: an interaction potential approach in Cincinnati, Ohio," Journal of Transport Geography, Elsevier, vol. 42(C), pages 72-83.
    19. Susan Handy & Kelly Clifton, 2001. "Local shopping as a strategy for reducing automobile travel," Transportation, Springer, vol. 28(4), pages 317-346, November.
    20. Rajagopal, 2010. "Coexistence and Conflicts between Shopping Malls and Street Markets in Growing Cities: Analysis of Shoppers’ Behavior," Marketing Working Papers 2010-03-MKT, Tecnológico de Monterrey, Campus Ciudad de México.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Giovanni Vecchio & Bryan Castillo & Rodrigo Villegas & Carolina Rojas Quezada & Stefan Steiniger & Juan Antonio Carrasco, 2023. "Elderly Walking Access to Street Markets in Chile: An Asset for Food Security in an Unequal Country," Sustainability, MDPI, vol. 15(5), pages 1-18, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mondal, Aupal & Bhat, Chandra R., 2021. "A new closed form multiple discrete-continuous extreme value (MDCEV) choice model with multiple linear constraints," Transportation Research Part B: Methodological, Elsevier, vol. 147(C), pages 42-66.
    2. Astroza, Sebastian & Bhat, Prerna C. & Bhat, Chandra R. & Pendyala, Ram M. & Garikapati, Venu M., 2018. "Understanding activity engagement across weekdays and weekend days: A multivariate multiple discrete-continuous modeling approach," Journal of choice modelling, Elsevier, vol. 28(C), pages 56-70.
    3. Lavieri, Patrícia S. & Dai, Qichun & Bhat, Chandra R., 2018. "Using virtual accessibility and physical accessibility as joint predictors of activity-travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 527-544.
    4. Bhat, Chandra R. & Mondal, Aupal & Asmussen, Katherine E. & Bhat, Aarti C., 2020. "A multiple discrete extreme value choice model with grouped consumption data and unobserved budgets," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 196-222.
    5. Leung, Kevin Y.K. & Astroza, Sebastian & Loo, Becky P.Y. & Bhat, Chandra R., 2019. "An environment-people interactions framework for analysing children's extra-curricular activities and active transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 341-358.
    6. Reinhard Hössinger & Florian Aschauer & Sergio Jara-Díaz & Simona Jokubauskaite & Basil Schmid & Stefanie Peer & Kay W. Axhausen & Regine Gerike, 2020. "A joint time-assignment and expenditure-allocation model: value of leisure and value of time assigned to travel for specific population segments," Transportation, Springer, vol. 47(3), pages 1439-1475, June.
    7. Bhat, Chandra R., 2022. "A new closed-form two-stage budgeting-based multiple discrete-continuous model," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 162-192.
    8. Jara-Díaz, Sergio R. & Astroza, Sebastian & Bhat, Chandra R. & Castro, Marisol, 2016. "Introducing relations between activities and goods consumption in microeconomic time use models," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 162-180.
    9. Bhat, Chandra R., 2018. "A new flexible multiple discrete–continuous extreme value (MDCEV) choice model," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 261-279.
    10. Pellegrini, Andrea & Pinjari, Abdul Rawoof & Maggi, Rico, 2021. "A multiple discrete continuous model of time use that accommodates non-additively separable utility functions along with time and monetary budget constraints," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 37-53.
    11. Lavieri, Patrícia S. & Bhat, Chandra R., 2019. "Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 242-261.
    12. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.
    13. Andre De Palma & Fay Dunkerley & Stef Proost, 2010. "Trip Chaining: Who Wins Who Loses?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(1), pages 223-258, March.
    14. Dong, Chunjiao & Shao, Chunfu & Clarke, David B. & Nambisan, Shashi S., 2018. "An innovative approach for traffic crash estimation and prediction on accommodating unobserved heterogeneities," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 407-428.
    15. Kidokoro, Yukihiro, 2016. "A micro foundation for discrete choice models with multiple categories of goods," Journal of choice modelling, Elsevier, vol. 19(C), pages 54-72.
    16. Isabelle Wachter & Christian Holz-Rau, 2022. "Gender differences in work-related high mobility differentiated by partnership and parenthood status," Transportation, Springer, vol. 49(6), pages 1737-1764, December.
    17. Saxena, Shobhit & Pinjari, Abdul Rawoof & Paleti, Rajesh, 2022. "A multiple discrete-continuous extreme value model with ordered preferences (MDCEV-OP): Modelling framework for episode-level activity participation and time-use analysis," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 259-283.
    18. Yan, Yingying & Zhong, Shiquan & Tian, Junfang & Jia, Ning, 2022. "An empirical study on consumer automobile purchase intentions influenced by the COVID-19 outbreak," Journal of Transport Geography, Elsevier, vol. 104(C).
    19. Pinjari, Abdul Rawoof & Bhat, Chandra, 2021. "Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis," Journal of choice modelling, Elsevier, vol. 39(C).
    20. Havet, Nathalie & Bayart, Caroline & Bonnel, Patrick, 2021. "Why do Gender Differences in Daily Mobility Behaviours persist among workers?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 34-48.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eejocm:v:42:y:2022:i:c:s1755534521000737. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/journal-of-choice-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.