Does online food delivery improve the equity of food accessibility? A case study of Nanjing, China

Journal of Transport Geography - Tập 107 - Trang 103516 - 2023
Shanqi Zhang1,2, Hui Luan3, Feng Zhen1,2, Yu Kong1,2, Guangliang Xi1,2
1School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
2Provincial Engineering Laboratory of Smart City Design Simulation & Visualization, Jiangsu, China
3Department of Geography, University of Oregon, Eugene, Oregon, USA

Tài liệu tham khảo

Adams, 2015, Frequency and socio-demographic correlates of eating meals out and take-away meals at home: cross-sectional analysis of the UK national diet and nutrition survey, waves 1-4 (2008-12), Int. J. Behav. Nutr. Phys. Act., 12, 1 Beaulac, 2009, A systematic review of food deserts, 1966-2007, Prev. Chronic Dis., 6 Ben-Elia, 2019, A spatially-explicit method for analyzing the equity of transit commuters’ accessibility, Transp. Res. A Policy Pract., 120, 31, 10.1016/j.tra.2018.11.017 Black, 2014, Dietary inequalities: what is the evidence for the effect of the neighbourhood food environment?, Health Place, 27, 229, 10.1016/j.healthplace.2013.09.015 Brar, 2021, Geographic reach and nutritional quality of foods available from mobile online food delivery service applications: novel opportunities for retail food environment surveillance, BMC Public Health, 21, 1, 10.1186/s12889-021-10489-2 Burgoine, 2018, Examining the interaction of fast-food outlet exposure and income on diet and obesity: evidence from 51,361 UK biobank participants, Int. J. Behav. Nutr. Phys. Act., 15, 1 Business of Apps, 2022 Centers for Disease Control and Prevention, 2011 Charreire, 2010, Measuring the food environment using geographical information systems: a methodological review, Public Health Nutr., 13, 1773, 10.1017/S1368980010000753 Chen, 2017, Take the edge off: a hybrid geographic food access measure, Appl. Geogr., 87, 149, 10.1016/j.apgeog.2017.07.013 Chen, 2014, Does food environment influence food choices? A geographical analysis through “tweets.”, Appl. Geogr., 51, 82, 10.1016/j.apgeog.2014.04.003 Chen, 2019, Assessing accessibility-based service effectiveness (ABSEV) and social equity for urban bus transit: a sustainability perspective, Sustain. Cities Soc., 44, 499, 10.1016/j.scs.2018.10.003 Clarke, 2002, Deriving indicators of access to food retail provision in British cities: studies of Cardiff, Leeds and Bradford, Urban Stud., 39, 2041, 10.1080/0042098022000011353 Dai, 2011, Geographic disparities in accessibility to food stores in Southwest Mississippi, Environ. Plan. B: Plan. Design, 38, 659, 10.1068/b36149 Deville, 2014, Dynamic population mapping using mobile phone data, Proc. Natl. Acad. Sci., 111, 15888, 10.1073/pnas.1408439111 Farber, 2014, Temporal variability in transit-based accessibility to supermarkets, Appl. Geogr., 53, 149, 10.1016/j.apgeog.2014.06.012 Gelman, 2006, Prior distribution for variance parameters in hierarchical models, Bayesian Anal., 1, 515, 10.1214/06-BA117A Giskes, 2011, A systematic review of environmental factors and obesogenic dietary intakes among adults: are we getting closer to understanding obesogenic environments?, Obes. Rev., 12, e95, 10.1111/j.1467-789X.2010.00769.x Horner, 2014, Capturing individuals’ food environments using flexible space-time accessibility measures, Appl. Geogr., 51, 99, 10.1016/j.apgeog.2014.03.007 Hu, 2020, Dynamic healthy food accessibility in a rapidly urbanizing metropolitan area: socioeconomic inequality and relative contribution of local factors, Cities, 105 IiMedia Research Group Keeble, 2020, Use of online food delivery services to order food prepared away-from-home and associated sociodemographic characteristics: a cross-sectional, multi-country analysis, Int. J. Environ. Res. Public Health, 17, 1, 10.3390/ijerph17145190 Keeble, 2021, Socioeconomic inequalities in food outlet access through an online food delivery service in England: a cross-sectional descriptive analysis, Appl. Geogr., 133 Keeble, 2021, Associations between online food outlet access and online food delivery service use amongst adults in the UK: a cross-sectional analysis of linked data, BMC Public Health, 21, 1, 10.1186/s12889-021-11953-9 Kestens, 2010, Using experienced activity spaces to measure foodscape exposure, Health Place, 16, 1094, 10.1016/j.healthplace.2010.06.016 Kuai, 2017, Examining healthy food accessibility and disparity in Baton Rouge, Louisiana, Ann. GIS, 23, 103, 10.1080/19475683.2017.1304448 Laaksonen, 2003, Surveys among finnish adults, J. Epidemiol. Community Health, 57, 711, 10.1136/jech.57.9.711 Larsen, 2008, Mapping the evolution of “food deserts” in a Canadian city: supermarket accessibility in London, Ontario, 1961-2005, Int. J. Health Geogr., 7, 1, 10.1186/1476-072X-7-16 Larson, 2009, Neighborhood environments. Disparities in access to healthy foods in the U.S, Am. J. Prev. Med., 36, 74, 10.1016/j.amepre.2008.09.025 LeDoux, 2013, Going outside the neighborhood: the shopping patterns and adaptations of disadvantaged consumers living in the lower eastside neighborhoods of Detroit, Michigan, Health Place, 19, 1, 10.1016/j.healthplace.2012.09.010 Lee, 2009, A spatial statistical approach to identifying areas with poor access to grocery foods in the City of Buffalo, New York, Urban Stud., 46, 1299, 10.1177/0042098009104567 Li, 2020, Review of online food delivery platforms and their impacts on sustainability, Sustainability, 12, 5528, 10.3390/su12145528 Li, 2022, Do neighborhood food environments matter for eating through online-to-offline food delivery services?, Appl. Geogr., 138 Li, 2021, Assessing equity in park accessibility using a travel behavior-based G2SFCA method in Nanjing, China, J. Transp. Geogr., 96 Luan, 2015, Identifying food deserts and swamps based on relative healthy food access: a spatio-temporal Bayesian approach, Int. J. Health Geogr., 14, 37, 10.1186/s12942-015-0030-8 Luan, 2016, Do marginalized neighbourhoods have less healthy retail food environments? An analysis using Bayesian spatial latent factor and hurdle models, Int. J. Health Geogr., 15, 29, 10.1186/s12942-016-0060-x Luan, 2018, Diving into the consumer nutrition environment: a Bayesian spatial factor analysis of neighborhood restaurant environment, Spat. Spatio-Temp. Epidemiol., 24, 39, 10.1016/j.sste.2017.12.001 Lunn, 2000, WinBUGS - A Bayesian modelling framework: concepts, structure, and extensibility, Stat. Comput., 10, 325, 10.1023/A:1008929526011 Lunn, 2012 Luo, 2022, Takeaway factory: formation mechanism of new urban spaces in the mobile internet era, Urban Plan. Forum, 4, 64 Maimaiti, 2018, How we eat determines what we become: opportunities and challenges brought by food delivery industry in a changing world in China, Eur. J. Clin. Nutr., 72, 1282, 10.1038/s41430-018-0191-1 Meituan, 2019 Minaker, 2016, Retail food environments research in Canada: a scoping review, Canad. J. Publ. Health, 107, eS4, 10.17269/CJPH.107.5344 Moore, 2008, Associations of the local food environment with diet quality--a comparison of assessments based on surveys and geographic information systems: the multi-ethnic study of atherosclerosis, Am. J. Epidemiol., 167, 917, 10.1093/aje/kwm394 Moreno, 2021, Introducing the “15-Minute City”: sustainability, resilience and place identity in future post-pandemic cities, Smart Cities, 4, 93, 10.3390/smartcities4010006 National Bureau of Statistics, 2021 Neelon, 2014, Bayesian two-part spatial models for semicontinuous data with application to emergency department expenditures, Biostatistics, 16, 465, 10.1093/biostatistics/kxu062 Newing, 2022, ‘Sorry we do not deliver to your area’: geographical inequalities in online groceries provision, Int. Rev. Retail Distrib. Consum. Res., 32, 80 Pearce, 2007, Neighborhood deprivation and access to fast-food retailing. A national study, Am. J. Prev. Med., 32, 375, 10.1016/j.amepre.2007.01.009 Poelman, 2020, A cross-sectional comparison of meal delivery options in three international cities, Eur. J. Clin. Nutr., 74, 1465, 10.1038/s41430-020-0630-7 Pollard, 2001, Lifestyle factors affecting fruit and vegetable consumption in the UK Women’s cohort study, Appetite, 37, 71, 10.1006/appe.2001.0415 Powell, 2007, Food store availability and neighborhood characteristics in the United States, Prev. Med., 44, 189, 10.1016/j.ypmed.2006.08.008 Rivera, 2019, Online delivery provider (ODP) services: Who is getting what from food deliveries?, Int. J. Hosp. Manag., 80, A1 Sadler, 2011, An application of the edge effect in measuring accessibility to multiple food retailer types in southwestern Ontario, Canada, Int. J. Health Geogr., 10, 34, 10.1186/1476-072X-10-34 Shi, 2021, The association between spatial attributes and neighborhood characteristics based on Meituan take-out data: evidence from shanghai business circles, J. Retail. Consum. Serv., 58, 10.1016/j.jretconser.2020.102302 Smith, 2009, Takeaway food consumption and its associations with diet quality and abdominal obesity: a cross-sectional study of young adults, Int. J. Behav. Nutr. Phys. Act., 6, 1, 10.1186/1479-5868-6-29 Smoyer-Tomic, 2006, Food deserts in the prairies? Supermarket accessibility and neighborhood need in Edmonton, Canada, Prof. Geogr., 58, 307, 10.1111/j.1467-9272.2006.00570.x Statista Statista Story, 2008, Creating healthy food and eating environments: policy and environmental approaches, Annu. Rev. Public Health, 29, 253, 10.1146/annurev.publhealth.29.020907.090926 Su, 2017, A geo-big data approach to intra-urban food deserts: transit-varying accessibility, social inequalities, and implications for urban planning, Habit. Int., 64, 22, 10.1016/j.habitatint.2017.04.007 Sustainable Development Goals Talamini, 2022, From brick-and-mortar to location-less restaurant: the spatial fixing of on-demand food delivery platformization, Cities, 128 Taleai, 2014, An integrated framework to evaluate the equity of urban public facilities using spatial multi-criteria analysis, Cities, 40, 56, 10.1016/j.cities.2014.04.006 Titis, 2022, Assessing physical access to healthy food across United Kingdom: a systematic review of measures and findings, Obes. Sci. Pract., 8, 233, 10.1002/osp4.563 Walker, 2010, Disparities and access to healthy food in the United States: a review of food deserts literature, Health Place, 16, 876, 10.1016/j.healthplace.2010.04.013 Wang, 2021, Impacts of food accessibility and built environment on on-demand food delivery usage, Transp. Res. Part D: Transp. Environ., 100 Wang, 2022, Disparities in spatio-temporal accessibility to fresh foods in Shanghai, China, Appl. Geogr., 145 Wang, 2021, How online food delivery platforms contributed to the resilience of the urban food system in China during the COVID-19 pandemic Widener, 2013, Using urban commuting data to calculate a spatiotemporal accessibility measure for food environment studies, Health Place, 21, 1, 10.1016/j.healthplace.2013.01.004 Widener, 2015, Spatiotemporal accessibility to supermarkets using public transit: an interaction potential approach in Cincinnati, Ohio, J. Transp. Geogr., 42, 72, 10.1016/j.jtrangeo.2014.11.004 Xi, 2020, The impacts of same day delivery online shopping on local store shopping in Nanjing, China, Transp. Res. A Policy Pract., 136, 35, 10.1016/j.tra.2020.03.030 Zhou, 2019, Examination of the 15-minute life cycle program of a Chinese mega city: case study of Guangzhou, WIT Trans. Ecol. Environ., 238, 97, 10.2495/SC190091