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The influence of online food delivery services on eating-out travel — A case study of chengdu, China

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  • Li, Enlong
  • Shi, Kunbo
  • Yang, Yongchun
  • Witlox, Frank

Abstract

In recent years, the popularity of online food delivery (OFD) services has been increasing, potentially affecting eating-out travel patterns. This study, based on four theoretical hypotheses — substitution, complementarity, modification, and neutrality — uses a stated preference approach to assess the impact of OFD services on the frequency of eating-out trips and the choice of travel modes (car, public transit, bicycle, and walking) among 543 respondents in Chengdu, China. A multinomial logistic regression and four binary logistic regressions were constructed to further explore the influential factors. The analysis reveals that OFD services tend to substitute all modes of transportation, with a more pronounced effect on sustainable travel modes (walking, bicycling, and public transit) compared to driving. Specifically, frequent OFD users, those who find OFD services convenient, and individuals who prefer cycling are more likely to reduce their eating-out trips. The study concludes by discussing the implications for the restaurant industry and transportation system.

Suggested Citation

  • Li, Enlong & Shi, Kunbo & Yang, Yongchun & Witlox, Frank, 2024. "The influence of online food delivery services on eating-out travel — A case study of chengdu, China," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:joreco:v:81:y:2024:i:c:s0969698924003199
    DOI: 10.1016/j.jretconser.2024.104023
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    References listed on IDEAS

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    1. Ray, Arghya & Dhir, Amandeep & Bala, Pradip Kumar & Kaur, Puneet, 2019. "Why do people use food delivery apps (FDA)? A uses and gratification theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 221-230.
    2. Kunbo Shi & Long Cheng & Jonas De Vos & Yongchun Yang & Wanpeng Cao & Frank Witlox, 2021. "How does purchasing intangible services online influence the travel to consume these services? A focus on a Chinese context," Transportation, Springer, vol. 48(5), pages 2605-2625, October.
    3. Xi, Guangliang & Cao, Xinyu & Zhen, Feng, 2020. "The impacts of same day delivery online shopping on local store shopping in Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 35-47.
    4. Wang, Kaili & Gao, Ya & Liu, Yicong & Nurul Habib, Khandker, 2023. "Exploring the choice between in-store versus online grocery shopping through an application of Semi-Compensatory Independent Availability Logit (SCIAL) model with latent variables," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    5. De Vos, Jonas & Cheng, Long & Kamruzzaman, Md. & Witlox, Frank, 2021. "The indirect effect of the built environment on travel mode choice: A focus on recent movers," Journal of Transport Geography, Elsevier, vol. 91(C).
    6. Kailai Wang & Xiaodong Qian & Dillon Taylor Fitch & Yongsung Lee & Jai Malik & Giovanni Circella, 2023. "What travel modes do shared e-scooters displace? A review of recent research findings," Transport Reviews, Taylor & Francis Journals, vol. 43(1), pages 5-31, January.
    7. Li, Shengxiao (Alex), 2023. "Revisiting the relationship between information and communication technologies and travel behavior: An investigation of older Americans," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    8. Namin, Aidin & Ratchford, Brian T. & Saint Clair, Julian K. & Bui, My (Myla) & Hamilton, Mitchell L., 2020. "Dine-in or take-out: Modeling millennials’ cooking motivation and choice," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    9. Verma, Anuj & Chakraborty, Debarun & Verma, Meenakshi, 2023. "Barriers of food delivery applications: A perspective from innovation resistance theory using mixed method," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
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