Spatiotemporal patterns of online food delivery services before the Covid-19 pandemic
Public health concerns of the Covid-19 pandemic and the popularity of on-demand mobility services have led to a recent and prominent increase in online food delivery (OFD) service adoption. While app-based services that offer restaurant customers the convenience of a freshly prepared meal delivered...
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| Format: | Article |
| Language: | English |
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University of Minnesota Libraries Publishing
2024-12-01
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| Series: | Journal of Transport and Land Use |
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| Online Access: | http://www.jtlu.org/index.php/jtlu/article/view/2310 |
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| author | Steven Gehrke Michael Huff Brendan Russo Edward Smaglik |
| author_facet | Steven Gehrke Michael Huff Brendan Russo Edward Smaglik |
| author_sort | Steven Gehrke |
| collection | DOAJ |
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Public health concerns of the Covid-19 pandemic and the popularity of on-demand mobility services have led to a recent and prominent increase in online food delivery (OFD) service adoption. While app-based services that offer restaurant customers the convenience of a freshly prepared meal delivered to any location have existed, their present and future impacts to urban transportation networks and landscapes have become ever more apparent since the pandemic’s onset and subsequent restrictions on restaurant dining. By analyzing route-level data collected by a ridehailing driver assistant app between October 2015 and October 2019, this study informs a baseline understanding of where and when these on-demand food delivery services were used within the Phoenix metro area prior to the pandemic. This identification of the spatiotemporal patterns of OFD service is accompanied by the estimation of traditional and spatially lagged negative binomial models of delivery counts using a robust set of predictors of the built environment and socioeconomic context found at the trip destination. Study results indicate that on-demand food delivery services were popular during dinner hours corresponding with evening peak travel and in neighborhoods characterized by higher activity density, greater drinking establishment access, and increased shares of residents under 45 years old.
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| format | Article |
| id | doaj-art-6d17b62df2d14e52ad5fa558429ead42 |
| institution | OA Journals |
| issn | 1938-7849 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | University of Minnesota Libraries Publishing |
| record_format | Article |
| series | Journal of Transport and Land Use |
| spelling | doaj-art-6d17b62df2d14e52ad5fa558429ead422025-08-20T02:24:03ZengUniversity of Minnesota Libraries PublishingJournal of Transport and Land Use1938-78492024-12-0117110.5198/jtlu.2024.2310Spatiotemporal patterns of online food delivery services before the Covid-19 pandemicSteven Gehrke0https://orcid.org/0000-0001-9355-5571Michael Huff1Brendan Russo2https://orcid.org/0000-0002-0606-7973Edward Smaglik3https://orcid.org/0000-0002-7034-6619Northern Arizona UniversityNorthern Arizona UniversityNorthern Arizona UniversityNorthern Arizona University Public health concerns of the Covid-19 pandemic and the popularity of on-demand mobility services have led to a recent and prominent increase in online food delivery (OFD) service adoption. While app-based services that offer restaurant customers the convenience of a freshly prepared meal delivered to any location have existed, their present and future impacts to urban transportation networks and landscapes have become ever more apparent since the pandemic’s onset and subsequent restrictions on restaurant dining. By analyzing route-level data collected by a ridehailing driver assistant app between October 2015 and October 2019, this study informs a baseline understanding of where and when these on-demand food delivery services were used within the Phoenix metro area prior to the pandemic. This identification of the spatiotemporal patterns of OFD service is accompanied by the estimation of traditional and spatially lagged negative binomial models of delivery counts using a robust set of predictors of the built environment and socioeconomic context found at the trip destination. Study results indicate that on-demand food delivery services were popular during dinner hours corresponding with evening peak travel and in neighborhoods characterized by higher activity density, greater drinking establishment access, and increased shares of residents under 45 years old. http://www.jtlu.org/index.php/jtlu/article/view/2310Food delivery servicesOnline shoppingSpatial Durbin ModelBuilt environment |
| spellingShingle | Steven Gehrke Michael Huff Brendan Russo Edward Smaglik Spatiotemporal patterns of online food delivery services before the Covid-19 pandemic Journal of Transport and Land Use Food delivery services Online shopping Spatial Durbin Model Built environment |
| title | Spatiotemporal patterns of online food delivery services before the Covid-19 pandemic |
| title_full | Spatiotemporal patterns of online food delivery services before the Covid-19 pandemic |
| title_fullStr | Spatiotemporal patterns of online food delivery services before the Covid-19 pandemic |
| title_full_unstemmed | Spatiotemporal patterns of online food delivery services before the Covid-19 pandemic |
| title_short | Spatiotemporal patterns of online food delivery services before the Covid-19 pandemic |
| title_sort | spatiotemporal patterns of online food delivery services before the covid 19 pandemic |
| topic | Food delivery services Online shopping Spatial Durbin Model Built environment |
| url | http://www.jtlu.org/index.php/jtlu/article/view/2310 |
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