IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v192y2025ics0965856424003859.html
   My bibliography  Save this article

Eating-out behavior across different restaurant segment types: Implications for transportation, public health, and food service sectors

Author

Listed:
  • Haddad, Angela J.
  • Mondal, Aupal
  • Bhat, Chandra R.

Abstract

This paper investigates the factors shaping dining-out preferences, focusing on the allocation of monthly weekday dinner occasions across four key restaurant segments: quick-service restaurants (QSRs), coffeehouses (CHs), casual-service restaurants (CSRs), and full-service restaurants (FSRs). The paper employs a Multiple Discrete-Count Extreme Value (MDCNTEV) modeling approach to analyze the data obtained from an online survey conducted in Texas in 2022. The findings reveal the compromises and considerations consumers make when determining their dining habits. Model estimation results indicate that frequent restaurant diners are white, affluent, single men, own multiple vehicles, and work full-time from a physical workplace location. There are also notable differences in those who tend to patronize different restaurant segments. QSRs attract younger, non-white, low-income individuals living with roommates, and residing in QSR-dense areas. CHs primarily draw in younger, non-white, working individuals. CSRs are favored by older individuals, single white women, car-less individuals, and residents of high-restaurant-density areas. FSRs are popular among non-white, high-income individuals. Our findings highlight the multifaceted interactions of demographic, socioeconomic, lifestyle, and location factors influencing consumer dining behavior, offering valuable insights for the transportation and urban planning, public health, and food service sectors.

Suggested Citation

  • Haddad, Angela J. & Mondal, Aupal & Bhat, Chandra R., 2025. "Eating-out behavior across different restaurant segment types: Implications for transportation, public health, and food service sectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:transa:v:192:y:2025:i:c:s0965856424003859
    DOI: 10.1016/j.tra.2024.104337
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856424003859
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2024.104337?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. Jozaa Z. AlTamimi & Naseem M. Alshwaiyat & Hana Alkhalidy & Nora A. AlFaris & Nora M. AlKehayez & Malak A. Alsemari & Reham I. Alagal, 2022. "Prevalence of Fast Food Intake among a Multi-Ethnic Population of Young Men and Its Connection with Sociodemographic Determinants and Obesity," IJERPH, MDPI, vol. 19(22), pages 1-11, November.
    2. Bee-Lia Chua & Shahrim Karim & Sanghyeop Lee & Heesup Han, 2020. "Customer Restaurant Choice: An Empirical Analysis of Restaurant Types and Eating-Out Occasions," IJERPH, MDPI, vol. 17(17), pages 1-23, August.
    3. Wooldridge, Jeffrey M., 1995. "Selection corrections for panel data models under conditional mean independence assumptions," Journal of Econometrics, Elsevier, vol. 68(1), pages 115-132, July.
    4. Bhat, Chandra R., 2022. "A closed-form multiple discrete-count extreme value (MDCNTEV) model," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 65-86.
    5. 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.
    6. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    7. Laura M. Giurge & Ashley V. Whillans & Colin West, 2020. "Why time poverty matters for individuals, organisations and nations," Nature Human Behaviour, Nature, vol. 4(10), pages 993-1003, October.
    8. Bhat, Chandra R. & Gossen, Rachel, 2004. "A mixed multinomial logit model analysis of weekend recreational episode type choice," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 767-787, November.
    9. Marchesi, Keenan & McLaughlin, Patrick W., 2022. "COVID-19 Working Paper: The Impact of COVID-19 Pandemic on Food-Away-From-Home Spending," USDA Miscellaneous 323863, United States Department of Agriculture.
    10. Jang, SooCheong (Shawn) & Namkung, Young, 2009. "Perceived quality, emotions, and behavioral intentions: Application of an extended Mehrabian-Russell model to restaurants," Journal of Business Research, Elsevier, vol. 62(4), pages 451-460, April.
    11. Caldarola, Bernardo & Sorrell, Steve, 2022. "Do teleworkers travel less? Evidence from the English National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 282-303.
    12. Kinneret Lahad & Vanessa May, 2017. "Just One? Solo Dining, Gender and Temporal Belonging in Public Spaces," Sociological Research Online, , vol. 22(2), pages 176-186, May.
    13. Amer Rajput & Raja Zohaib Gahfoor, 2020. "Satisfaction and revisit intentions at fast food restaurants," Future Business Journal, Springer, vol. 6(1), pages 1-12, December.
    14. Stewart, Hayden & Yen, Steven T., 2004. "Changing household characteristics and the away-from-home food market: a censored equation system approach," Food Policy, Elsevier, vol. 29(6), pages 643-658, December.
    15. Bernardo, Christina & Paleti, Rajesh & Hoklas, Megan & Bhat, Chandra, 2015. "An empirical investigation into the time-use and activity patterns of dual-earner couples with and without young children," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 71-91.
    16. Sunyee Yoon & Hyeongmin Christian Kim & Vicki MorwitzEditor & Simona BottiAssociate Editor, 2018. "Feeling Economically Stuck: The Effect of Perceived Economic Mobility and Socioeconomic Status on Variety Seeking," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(5), pages 1141-1156.
    17. Marchesi, Keenan & McLaughlin, Patrick W, 2022. "COVID-19 Working Paper: The Impact of COVID-19 Pandemic on Food-Away-From-Home Spending," Administrative Publications 327337, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

    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. Robbennolt, Dale & Haddad, Angela J. & Mondal, Aupal & Bhat, Chandra R., 2024. "Housing choice in an evolving remote work landscape," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    2. Dannemiller, Katherine A. & Mondal, Aupal & Asmussen, Katherine E. & Bhat, Chandra R., 2021. "Investigating autonomous vehicle impacts on individual activity-travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 402-422.
    3. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R., 2022. "Adoption of partially automated vehicle technology features and impacts on vehicle miles of travel (VMT)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 156-179.
    4. Haddad, Angela J. & Bhat, Chandra R., 2025. "Telemedicine adoption before, during, and after COVID-19: The role of socioeconomic and built environment variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 192(C).
    5. 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.
    6. Guillaume M. A. Morlet & Thomas Bolli, 2024. "Working from home is here to stay, but how does it affect workplace learning?," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 160(1), pages 1-19, December.
    7. Brown, James R., 2020. "The competitive structure of restaurant retailing: the impact of hedonic-utilitarian patronage motives," Journal of Business Research, Elsevier, vol. 107(C), pages 233-244.
    8. 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.
    9. Jones, Jordan & Toossi, Saied & Hodges, Leslie, 2022. "The Food and Nutrition Assistance Landscape: Fiscal Year 2021 Annual Report," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2022(Economic ), June.
    10. Lashkaripour, Ahmad, 2020. "Discrete trade," Journal of International Economics, Elsevier, vol. 126(C).
    11. Nursitihazlin Ahmad Termida & Yusak O. Susilo & Joel P. Franklin, 2016. "Examining the effects of out-of-home and in-home constraints on leisure activity participation in different seasons of the year," Transportation, Springer, vol. 43(6), pages 997-1021, November.
    12. Abderahman Rejeb & Alireza Abdollahi & Karim Rejeb & Mohamed M. Mostafa, 2023. "Tracing knowledge evolution flows in scholarly restaurant research: a main path analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2183-2209, June.
    13. Maria Casanova-Rivas, 2008. "Dynamic Complementarities: A Computational and Empirical Analysis of Couples' Retirement Decisions," 2008 Meeting Papers 1073, Society for Economic Dynamics.
    14. Olga Kadreva, 2016. "The influence of quantity and age of children on working women’ salaries," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 41, pages 62-77.
    15. Sirieix, Lucie & Lála, Jan & Kocmanová, Klára, 2017. "Understanding the antecedents of consumers' attitudes towards doggy bags in restaurants: Concern about food waste, culture, norms and emotions," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 153-158.
    16. Massimo Colombo & Annalisa Croce & Samuele Murtinu, 2014. "Ownership structure, horizontal agency costs and the performance of high-tech entrepreneurial firms," Small Business Economics, Springer, vol. 42(2), pages 265-282, February.
    17. Li, Jingjing & Kim, Changjoo & Sang, Sunhee, 2018. "Exploring impacts of land use characteristics in residential neighborhood and activity space on non-work travel behaviors," Journal of Transport Geography, Elsevier, vol. 70(C), pages 141-147.
    18. Sims, Katharine R.E. & Alix-Garcia, Jennifer M., 2017. "Parks versus PES: Evaluating direct and incentive-based land conservation in Mexico," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 8-28.
    19. Austin L. Wright, 2016. "Economic Shocks and Rebel," HiCN Working Papers 232, Households in Conflict Network.
    20. Marek Golinski & Dorota Baczkiewicz, 2021. "Analysis of Factors Influencing the Teamwork Competences of Managers Starting their Professional Career," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 64-76.

    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:transa:v:192:y:2025:i:c:s0965856424003859. 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.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.