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Original Research Article

A GIS-based analytical framework for evaluating the effect of COVID-19 on the restaurant industry with big data

ORCID Icon, , , &
Pages 37-58 | Received 31 Oct 2022, Accepted 23 Dec 2022, Published online: 21 Jan 2023

References

  • Ali, F., Harris, K. J., & Ryu, K. (2019). Consumers’ return intentions towards a restaurant with foodborne illness outbreaks: Differences across restaurant type and consumers’ dining frequency. Food Control, 98, 424–430. https://doi.org/10.1016/j.foodcont.2018.12.001
  • Anselin, L. (2009). Spatial regression. The SAGE Handbook of Spatial Analysis, 1, 255–276.
  • Anselin, L., Syabri, I., & Kho, Y. (2010). GeoDa: An introduction to spatial data analysis. In L. Anselin, I. Syabri & Y. Kho (Eds.), Handbook of applied spatial analysis (pp. 73–89). Springer.
  • Austin, S. B., Melly, S. J., Sanchez, B. N., Patel, A., Buka, S., & Gortmaker, S. L. (2005). Clustering of fast-food restaurants around schools: A novel application of spatial statistics to the study of food environments. American Journal of Public Health, 95(9), 1575–1581. https://doi.org/10.2105/AJPH.2004.056341
  • Bagozzi, R. P., Wong, N., Abe, S., & Bergami, M. (2000). Cultural and situational contingencies and the theory of reasoned action: Application to fast food restaurant consumption. Journal of Consumer Psychology, 9(2), 97–106. https://doi.org/10.1207/S15327663JCP0902_4
  • Banerjee, T., Nayak, A., & Zhao, H. (2021). A county-level study of the effects of state-mandated COVID-19 lockdowns on urban and rural restaurant visits using consumers’ cell phone geo-location data. Journal of Public Health, 1–10. https://doi.org/10.1007/s10389-020-01473-y
  • Beaulac, J., Kristjansson, E., & Cummins, S. (2009). A systematic review of food deserts. Preventing Chronic Disease, 6(3), A105.
  • Block, J. P., Scribner, R. A., & Desalvo, K. B. (2004). Fast food, race/ethnicity, and income: A geographic analysis. American Journal of Preventive Medicine, 27(3), 211–217. https://doi.org/10.1016/S0749-3797(04)00139-4
  • Bocock, D. R. (2008). Consumption. Routledge.
  • Bowman, S. A., Gortmaker, S. L., Ebbeling, C. B., Pereira, M. A., & Ludwig, D. S. (2004). Effects of fast-food consumption on energy intake and diet quality among children in a national household survey. Pediatrics, 113(1), 112–118. https://doi.org/10.1542/peds.113.1.112
  • Brizek, M. G., Frash, R. E., McLeod, B. M., & Patience, M. O. (2021). Independent restaurant operator perspectives in the wake of the COVID-19 pandemic. International Journal of Hospitality Management, 93, 102766. https://doi.org/10.1016/j.ijhm.2020.102766
  • Burgoine, T., & Harrison, F. (2013). Comparing the accuracy of two secondary food environment data sources in the UK across socio-economic and urban/rural divides. International Journal of Health Geographics, 12(1), 1–8. https://doi.org/10.1186/1476-072X-12-2
  • Byrd, K., Her, E., Fan, A., Almanza, B., Liu, Y., & Leitch, S. (2021). Restaurants and COVID-19: What are consumers’ risk perceptions about restaurant food and its packaging during the pandemic? International Journal of Hospitality Management, 94, 102821. https://doi.org/10.1016/j.ijhm.2020.102821
  • Carroll, G. R., & Torfason, M. T. (2011). Restaurant organizational forms and community in the U.S. in 2005. City & Community, 10(1), 1–24. https://doi.org/10.1111/j.1540-6040.2010.01350.x
  • Cunha, D. B., de Almeida, R. M. V. R., Sichieri, R., & Pereira, R. A. (2010). Association of dietary patterns with BMI and waist circumference in a low-income neighbourhood in Brazil. The British Journal of Nutrition, 104(6), 908–913. https://doi.org/10.1017/S0007114510001479
  • Dean, W. R., & Sharkey, J. R. (2011). Rural and urban differences in the associations between characteristics of the community food environment and fruit and vegetable intake. Journal of Nutrition Education and Behavior, 43(6), 426–433. https://doi.org/10.1016/j.jneb.2010.07.001
  • Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2003). Geographically weighted regression: The analysis of spatially varying relationships. John Wiley & Sons.
  • Gkiotsalitis, K., & Cats, O. (2021). Public transport planning adaption under the COVID-19 pandemic crisis: Literature review of research needs and directions. Transport Reviews, 41(3), 374–392. https://doi.org/10.1080/01441647.2020.1857886
  • Gkoumas, A. (2021). Developing an indicative model for preserving restaurant viability during the COVID-19 crisis. Tourism and Hospitality Research, 22(1), 18–31. https://doi.org/10.1177/1467358421998057
  • Glaeser, E. L., Jin, G. Z., Leyden, B. T., & Luca, M. (2021). Learning from deregulation: The asymmetric impact of lockdown and reopening on risky behavior during COVID‐19. Journal of Regional Science, 61(4), 696–709. https://doi.org/10.1111/jors.12539
  • Gursoy, D., & Chi, C. G. (2020). Effects of COVID-19 pandemic on hospitality industry: Review of the current situations and a research agenda. Journal of Hospitality Marketing & Management, 29(5), 527–529. https://doi.org/10.1080/19368623.2020.1788231
  • Huang, X., Lu, J., Gao, S., Wang, S., Liu, Z., & Wei, H. (2022). Staying at home is a privilege: Evidence from fine-grained mobile phone location data in the United States during the COVID-19 pandemic. Annals of the American Association of Geographers, 112(1), 286–305. https://doi.org/10.1080/24694452.2021.1904819
  • Hyun, S. S. (2009). Creating a model of customer equity for chain restaurant brand formation. International Journal of Hospitality Management, 28(4), 529–539. https://doi.org/10.1016/j.ijhm.2009.02.006
  • Karniouchina, K., Sarangee, K., Theokary, C., & Kübler, R. (2022). The Impact of the COVID-19 Pandemic on Restaurant Resilience: Lessons, Generalizations, and Ideas for Future Research. Service Science.
  • Kashem, S. B., Baker, D. M., González, S. R., & Lee, C. A. (2021). Exploring the nexus between social vulnerability, built environment, and the prevalence of COVID-19: A case study of Chicago. Sustainable Cities and Society, 75, 103261. https://doi.org/10.1016/j.scs.2021.103261
  • Kostromitina, M., Keller, D., Cavusoglu, M., & Beloin, K. (2021). “His lack of a mask ruined everything.” Restaurant customer satisfaction during the COVID-19 outbreak: An analysis of Yelp review texts and star-ratings. International Journal of Hospitality Management, 98, 103048. https://doi.org/10.1016/j.ijhm.2021.103048
  • Liang, X., & Andris, C. (2021). Measuring McCities: Landscapes of chain and independent restaurants in the United States. Environment and Planning B: Urban Analytics and City Science, 49(2), 23998083211014896. https://doi.org/10.1177/23998083211014896
  • Li, Z., Huang, X., Hu, T., Ning, H., Ye, X., Huang, B., Li, X., & Yang, C. (2021). ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility. PLoS One, 16(8), e0255259. https://doi.org/10.1371/journal.pone.0255259
  • Liu, H., & Lin, L. (2009). Food, culinary identity, and transnational culture: Chinese restaurant business in Southern California. Journal of Asian American Studies, 12(2), 135–162. https://doi.org/10.1353/jaas.0.0039
  • Luo, Y., & Xu, X. (2021). Comparative study of deep learning models for analyzing online restaurant reviews in the era of the COVID-19 pandemic. International Journal of Hospitality Management, 94, 102849. https://doi.org/10.1016/j.ijhm.2020.102849
  • Morland, K., Wing, S., Roux, A. D., & Poole, C. (2002). Neighborhood characteristics associated with the location of food stores and food service places. American Journal of Preventive Medicine, 22(1), 23–29. https://doi.org/10.1016/S0749-3797(01)00403-2
  • Nhamo, G., Dube, K., & Chikodzi, D. (2020). Restaurants and COVID-19: A focus on sustainability and recovery pathways. In G. Nhamo , K. Dube & D. Chikodzi (Eds.), Counting the cost of COVID-19 on the global tourism industry (pp. 205–224). Springer. https://link.springer.com/book/10.1007/978-3-030-56231-1
  • North American Industry Classification System. (2021). NAICS Code Search. Available at: https://www.naics.com/
  • Peng, N., & Chen, A. (2021). Consumers’ luxury restaurant reservation session abandonment behavior during the COVID-19 pandemic: The influence of luxury restaurant attachment, emotional ambivalence, and luxury consumption goals. International Journal of Hospitality Management, 94, 102891. https://doi.org/10.1016/j.ijhm.2021.102891
  • SafeGraph. (2020). U.S. Consumer Activity During COVID-19 Pandemic. Available at: https://www.safegraph.com
  • Small, A. (2017) How fast food concerned the urban market. Available at: www.citylab.com/life/2017/03/how-fast-food-chains-cornered-the-urban-market/521148/(accessed 20 May 2022).
  • Song, H. J., Yeon, J., & Lee, S. (2021). Impact of the COVID-19 pandemic: Evidence from the U.S. restaurant industry. International Journal of Hospitality Management, 92, 102702. https://doi.org/10.1016/j.ijhm.2020.102702
  • Thompson, C. N., Baumgartner, J., Pichardo, C., Toro, B., Li, L., Arciuolo, R., Fine, A. … Fine, A. (2020). COVID-19 Outbreak—New York City, February 29–June 1, 2020. Morbidity and Mortality Weekly Report, 69(46), 1725. https://doi.org/10.15585/mmwr.mm6946a2
  • US Census Bureau. (2019). Population estimates in 2019. Available at: https://www.census.gov/topics/population.html
  • Weill, J. A., Stigler, M., Deschenes, O., & Springborn, M. R. (2020). Social distancing responses to COVID-19 emergency declarations strongly differentiated by income. Proceedings of the National Academy of Sciences, 117(33), 19658–19660. https://doi.org/10.1073/pnas.2009412117
  • Wen, L., Sheng, M., & Sharp, B. (2022). The impact of COVID-19 on changes in community mobility and variation in transport modes. New Zealand Economic Papers, 56(1), 98–105. https://doi.org/10.1080/00779954.2020.1870536
  • Yelp. (2020). Available at: https://www.yelp.com/
  • Zhang, M., Gurung, A., Anglewicz, P., & Yun, K. (2021). COVID-19 and immigrant essential workers: Bhutanese and Burmese refugees in the United States. Public Health Reports, 136(1), 117–123. https://doi.org/10.1177/0033354920971720