The cost of shopping: measuring virtual and physical access for obtaining goods

Keywords: accessibility, online vs. in-store shopping, physical vs. virtual, dual access, Wuhan city, COVID-19

Abstract

The rise of e-commerce, bolstered by advancements in information and communication technology (ICT), has made it possible for consumers to shop online without the need to physically travel. The unexpected emergence of COVID-19 further accelerated this shift towards online shopping. This paper delves into the nuances of virtual versus physical access to goods, drawing from the dual access theory. It aims to offer a comprehensive understanding of the disparities in accessibility between digital and brick-and-mortar shopping experiences. Our results indicate that when considering the complete private costs—including the intrinsic costs of shopping and those incurred en route like travel and delivery fees—online shopping typically offers greater accessibility and is more cost-effective than its in-store counterpart. Interestingly, while physical access to shopping displays a pattern where the central city has a distinct advantage over the suburbs, virtual access presents a more uniform distribution throughout the city.

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Author Biographies

Jing Chen, School of Engineering Audit, Nanjing Audit University

She is a lecturer in the School of Engineering Audit, Nanjing Audit University, Nanjing, China. She earned her PhD degree in Transportation Engineering from the School of Transportation, Southeast University in 2022. Currently, her research concerns the topic of urban mobility, accessibility, optimization of multimodal transportation network.

 

Mengying Cui, College of Transportation Engineering, Chang’an University, Xi’an, China

She joined Chang’an University, China, in 2020 as an Associate Professor at the College of Transportation Engineering. Prior to this appointment, she worked as a postdoctoral research associate at TransportLab at the University of Sydney for more than two years. She earned her PhD degree in Civil Engineering from the University of Minnesota in 2018. Her dissertation, “Full Cost Accessibility”, provides a theoretical basis combines temporal, monetary, and non-monetary travel costs into accessibility evaluations, which fill the gap of the traditional time-based accessibility measures that ignore other cost factors, especially the external cost, of travel. Her main interests of research include accessibility, transport networks, and transportation economics and she has co-authored several papers in top peer reviewed journals in transport and land use, including Transportation, Transportation Research Part D, Cities and so on. She currently serves as an editorial advisory board member for the Journal of Transport and Land Use.

David Levinson, University of Sydney, Sydney, NSW, Australia

He joined the School of Civil Engineering at the University of Sydney in 2017 as Foundation Professor in Transport Engineering. He was a Professor at the Department of Civil, Environmental, and Geo- Engineering at the University of Minnesota, from 1999 to 2016. He conducts research on Accessibility, Transport Economics, Transport Network Evolution, and Transport and Land Use Interaction. He is the Founding Editor of Findings and the Journal of Transport and Land Use. He is the author of several books including: The Transportation Experience, Planning for Place and Plexus, A Political Economy of Access, Elements of Access, and The End of Traffic and the Future of Access. He blogs at https://www.transportist.net.

References

Alford-Teaster, J., Wang, F., Tosteson, A. N. & Onega, T. (2021). Incorporating broadband durability in measuring geographic access to health care in the era of telehealth: A case example of the 2-step virtual catchment area (2SVCA) Method. Journal of the American Medical Informatics Association, 28 (11), 2526–2530. https://doi.org/10.1093 /jamia/ocab149

Alotaibi, S., Quddus, M., Morton, C. & Imprialou, M. (2021). Transport investment, railway accessibility and their dynamic impacts on regional economic growth. Research in Transportation Business & Management, 43, 100702. https://doi.org/ 10.1016/j.rtbm.2021.100702

Apparicio, P., Cloutier, M.-S. & Shearmur, R. (2007). The case of Montréal’s missing food deserts: evaluation of accessibility to food supermarkets. International Journal of Health Geographics, 6 (1), 4. https://doi.org/10.1186/1476-072X-6-4

Ben-Akiva, M. & Lerman, S. R. (2018). Discrete choice analysis: Theory and Application to Travel Demand. MIT Press.

Bondemark, A. (2020). The relationship between accessibility and price – The case of Swedish food stores. Journal of Transport Geography, 82, 102615. https://doi.org/10.1016/j.jtrangeo.2019.102615

Carrión, C. & Levinson, D. (2013). Valuation of travel time reliability from a GPS-based experimental design. Transportation Research. Part C, Emerging Technologies, 35, 305– 323. https://doi.org/10.1016/j.trc.2012.10.010

Chiu, Y., Lo, S. K., Hsieh, A. Y. & Hwang, Y. (2019). Exploring why people spend more time shopping online than in offline stores. Computers in Human Behavior, 95, 24–30. https://doi.org/10.1016/j.chb.2019.01.029

Cui, M. & Levinson, D. (2020). Multi-activity access: How activity choice affects opportunity. Transportation Research. Part D, Transport and Environment, 85, 102364. https://doi.org/10.1016/j.trd.2020.102364

Cui, M. & Levinson, D. (2019a). Link-based Full Cost Analysis of Travel. In 98th annual meeting of Transportation Research Board, Washington DC., 2019.

Cui, M. & Levinson, D. (2019b). Primal and dual access. Geographical Analysis, 52(3), 452-474. https://doi.org/10.1111/ gean.12220

Ding, Y. & Lu, H. (2017). The interactions between online shopping and personal activity travel behavior: an analysis with a GPS-based activity travel diary. Transportation, 44 (2), 311– 324. https://doi.org/10.1007/s11116-015-9639-5

Ender Altay, E. & Şenay, D. (2023). Usability and accessibility of urban service areas with increasing epidemics: the case of Bursa/Turkey. TeMA-Journal of Land Use, Mobility and Environment, 16 (1), 147-163. http://dx.doi.org/10.6093/1970-9870/9591

Farag, S., Krizek, K. J. & Dijst, M. (2006). E-shopping and its Relationship with In-store Shopping: Empirical Evidence from the Netherlands and the USA. Transport Reviews, 26(1), 43–61. https://doi.org/10.1080/01441640500158496

Farag, S., Schwanen, T., Dijst, M. & Faber, J. (2007). Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping. Transportation Research. Part A, Policy and Practice, 41 (2), 125–141. https://doi.org/10.1016/j.tra.2006.02.003

Gaode. (2020). Gaode map api. https://lbs.amap.com.

Guida, C. & Caglioni, M. (2020). Urban accessibility: the paradox, the paradigms and the measures. A scientific review. TeMA-Journal of Land Use, Mobility and Environment, 13 (2), 149-168. https://doi.org/10.6092/1970-9870/6743

Hamidi, S. (2019). Urban sprawl and the emergence of food deserts in the USA. Urban Studies, 57 (8), 1660–1675. https://doi.org/10.1177/0042098019841540

Han, S. S. & Wu, X. (2004). Wuhan. Cities, 21(4), 349–362. https://doi.org/10.1016/j.cities.2004.03.007

Handy, S. & Niemeier, D. (1997). Measuring accessibility: An exploration of issues and alternatives. Environment & Planning. A, 29(7), 1175–1194. https://doi.org/10.1068/a291175

Hansen, W. G. (1959b). How accessibility shapes land use. Journal of the American Institute of planners, 25(2), 73–76. https://doi.org/10.1080/01944365908978307

Hsiao, M. (2009). Shopping mode choice: Physical store shopping versus e-shopping. Transportation Research. Part E, Logistics and Transportation Review, 45 (1), 86–95. https://doi.org/10.1016/j.tre.2008.06.002

Huang, A. & Levinson, D. (2015). Axis of travel: Modeling non-work destination choice with GPS data. Transportation Research. Part C, Emerging Technologies, 58, 208–223. https://doi.org/10.1016/j.trc.2015.03.022

Knoblauch, R. L., Pietrucha, M. T. & Nitzburg, M. (1996). Field studies of Pedestrian walking Speed and Start-Up Time. Transportation Research Record, 1538(1), 27–38. https://doi.org/10.1177/0361198196153800104

Lahoorpoor, B., Wu, H., Rayaprolu, H. & Levinson, D. M. (2022). Prioritizing active transport network investment using locational accessibility. TeMA-Journal of Land Use, Mobility and Environment, 15 (2), 179-192. http://dx.doi.org/ 10.6092/1970-9870/9174

Larsen, K. & Gilliland, J. (2008). Mapping the evolution of “food deserts” in a Canadian city: Supermarket accessibility in London, Ontario, 1961–2005. International Journal of Health Geographics, 7 (1), 16. https://doi.org/10.1186/1476-072x-7-16

Lavieri, P. S., Dai, Q. & Bhat, C. R. (2018). Using virtual accessibility and physical accessibility as joint predictors of activity-travel behavior. Transportation Research. Part A, Policy and Practice, 118, 527–544. https://doi.org/10.1016/j .tra.2018.08.042

Lee, J. & Kim, J. (2023). Social equity analysis of public transit accessibility to healthcare might be erroneous when travel time uncertainty impacts are overlooked. Travel Behaviour and Society, 32, 100588. https://doi.org/10.1016/ j.tbs.2023.100588

Levinson, D. (1998). Accessibility and the journey to work. Journal of Transport Geography, 6(1), 11-21. https://doi.org/ 10.1016/S0966-6923(97)00036-7

Levinson, D. & Kumar, A. (1994). The rational locator: why travel times have remained stable. Journal of the American Planning Association, 60 (3), 319–332. https://doi.org/10.1080/01944369408975590

Li, J. & Kim, C. (2020). Exploring relationships of grocery shopping patterns and healthy food accessibility in residential neighborhoods and activity space. Applied Geography, 116, 102169. https://doi.org/10.1016/j.apgeog.2020.102169

Manfredini, F. & Di Rosa, C. (2018). Measuring Spatial Accessibility for Elderly. An Application to Subway Stations in Milan. TeMA-Journal of Land Use, Mobility and Environment, 85-94. https://doi.org/10.6092/1970-9870/5800

Mofcom.PRC. (2019). E-Commerce in China 2018.

Mohrss.PRC. (2020). National minimum wage in different regions 2020.

Pirra, M., Carboni, A. & Deflorio, F. (2022). Freight delivery services in urban areas: Monitoring accessibility from vehicle traces and road network modelling. Research in Transportation Business & Management, 45, 100680. https://doi.org/ 10.1016/j.rtbm.2021.100680

Preston, J. & Rajé, F. (2007). Accessibility, mobility and transport-related social exclusion. Journal of Transport Geography, 15 (3), 151–160. https://doi.org/10.1016/j.jtrangeo.2006.05.002

Reynolds Walsh, L., Xian, T., Levinson, D. & Rayaprolu, H. S. (2019). Walking and talking: The effect of smartphone use and group conversation on pedestrian speed. TeMA-Journal of Land Use, Mobility and Environment, 12 (3), 283–294. https://doi.org/10.6092/1970-9870/6088

Sakai, T., Kawamura, K. & Hyodo, T. (2019). Evaluation of the spatial pattern of logistics facilities using urban logistics land-use and traffic simulator. Journal of Transport Geography, 74, 145–160. https://doi.org/10.1016/j. jtrangeo.2018.10.011

Saphores, J. & Xu, L. (2021). E-shopping changes and the state of E-grocery shopping in the US - Evidence from national travel and time use surveys. Research in Transportation Economics, 87, 100864. https://doi.org/10.1016 /j.retrec.2020.100864

Schmid, B. & Axhausen, K. W. (2019). In-store or online shopping of search and experience goods: A hybrid choice approach. Journal of choice modelling, 31, 156–180. https://doi.org/10.1016/j.jocm.2018.03.001

Schuetz, J., Kolko, J. & Meltzer, R. (2012). Are poor neighborhoods “retail deserts”? Regional Science and Urban Economics, 42 (1-2), 269–285. https://doi.org/10.1016/j.regsciurbeco.2011.09.005

Shen, Q. (1998). Spatial technologies, accessibility, and the social construction of urban space. Computers, Environment and Urban Systems, 22(5), 447–464. https://doi.org/10.1016/S0198-9715(98)00039-8

Shen, Q. (2000). New telecommunications and residential location flexibility. Environment & Planning. A, 32 (8), 1445–1463. https://doi.org/10.1068/a3292

Visser, E. & Lanzendorf, M. (2004). Mobility and accessibility effects of b2c e-commerce: a literature review. Tijdschrift Voor Economische En Sociale Geografie, 95 (2), 189–205. https://doi.org/10.1111/j.0040-747X.2004.00300.x

Walker, R. & Cude, B. (1983). In-store shopping strategies: Time and money costs in the supermarket. Journal of Consumer Affairs, 17 (2), 356–369. https://doi.org/10.1111/j.1745-6606.1983.tb00308.x

Walker, R. R., Keane, C. & Burke, J. G. (2010). Disparities and access to healthy food in the United States: A review of food deserts literature. Health & Place, 16(5), 876–884. https://doi.org/10.1016/j.healthplace.2010.04.013

Wang, F. & Luo, W. (2005). Assessing spatial and nonspatial factors for healthcare access: towards an integrated approach to defining health professional shortage areas. Health & Place, 11 (2), 131-146. https://doi.org/10.1016/j.health place.2004.02.003

Woudsma, C., Jensen, J. F., Kanaroglou, P. & Maoh, H. (2008). Logistics land use and the city: A spatial–temporal modeling approach. Transportation Research. Part E, Logistics and Transportation Review, 44 (2), 277–297. https://doi.org/ 10.1016/j.tre.2007.07.006

Zhang, Y., Chen, J., Li, X. & Zhong, M. (2019). Exploring logistics dispatcher’s preference in electric tricycle related policies: The case of China. Journal of Cleaner Production, 230, 835–843. https://doi.org/10.1016/j.jclepro.2019.05.117

Published
2024-04-30
How to Cite
ChenJ., CuiM., & LevinsonD. (2024). The cost of shopping: measuring virtual and physical access for obtaining goods. TeMA - Journal of Land Use, Mobility and Environment, 17(1), 129-145. https://doi.org/10.6093/1970-9870/10688