Assessing the Impacts of COVID-19 on Online-Shopping Behavior,the Resulting Delivery and Shipping Behavior of Private Households,and Freight Transportation: An Empirical Study of Germany
Restricted accessResearch articleFirst published online February, 2025
Assessing the Impacts of COVID-19 on Online-Shopping Behavior,the Resulting Delivery and Shipping Behavior of Private Households,and Freight Transportation: An Empirical Study of Germany
Online shopping has gained popularity in many countries over the past two decades. As a result, the question of whether it reduces the overall transportation volume from fewer personal shopping trips or increases it because of more freight transportation, especially in the courier, express, and parcel segment, is a hot topic in transportation research. Yet few studies have applied a holistic approach to distinguishing online-shopping behavior with regard to different product categories, the distances traveled to purchase different products on physical shopping trips, the means of transportation used on these trips, and the freight transportation caused by online shopping. In addition, the outbreak of the COVID-19 pandemic in spring 2020 led to a dramatic increase in online shopping in many countries, with people trying to avoid physical shopping trips for health reasons. Against this background, this article attempts to clarify the net effects of online shopping on transportation volume both before and during the pandemic. For this purpose, two online surveys were conducted to capture online-shopping behavior and its effects on transportation before (2018) and during the pandemic (2021). The investigation area was Germany. The analysis showed that the pandemic generated more online shopping and more personal shopping trips. However, the overall mileage resulting from personal shopping trips, freight transportation, and pick-up and drop-off trips caused by online shopping remained relatively constant, as people traveled shorter distances during the pandemic.
KoppelmanF.SalomonI.ProussaloglouK.Teleshopping or Store Shopping? A Choice Model for Forecasting the Use of New Telecommunications-Based Services. Environment and Planning B: Planning and Design, Vol. 18, 1991, pp. 473–489. https://doi.org/10.1068/b180473.
2.
MokhtarianP. L.A Typology of Relationships Between Telecommunications and Transportation. Transportation Research Part A: General, Vol. 24, 1990, pp. 231–242. https://doi.org/10.1016/0191-2607(90)90060-j.
MokhtarianP. L.SalomonI.Emerging Travel Patterns: Do Telecommunications Make a Difference? In Perpetual Motion: Travel Behavior Research Opportunities and Application Challenges (MahmassaniH. S., ed.), Pergamon Press/Elsevier, Oxford, 2002, pp. 143–182.
5.
EinavL.LevinJ.PopovI.SundaresanN.Growth, Adoption, and Use of Mobile E-Commerce. The American Economic Review, Vol. 104, 2014, pp. 489–494.
6.
FranckeJ.VisserJ.Internet Shopping and Its Impacts on Mobility. Proc., 25th World Road Congress, Seoul, South Korea, World Road Association (PIARC), France, 2015.
7.
HerhausenD.BinderJ.SchoegelM.HerrmannA.Integrating Bricks with Clicks: Retailer-Level and Channel-Level Outcomes of Online–Offline Channel Integration. Journal of Retailing, Vol. 91, 2015, pp. 309–325. https://doi.org/10.1016/j.jretai.2014.12.009.
8.
KonradK.WittowskyD.Virtual Mobility and Travel Behavior of Young People – Connections of Two Dimensions of Mobility. Research in Transportation Economics, Vol. 68, 2018, pp. 11–17. https://doi.org/10.1016/j.retrec.2017.11.002.
9.
LaghaeiJ.FaghriA.LiM.Impacts of Home Shopping on Vehicle Operations and Greenhouse Gas Emissions: Multi-Year Regional Study. International Journal of Sustainable Development & World Ecology, Vol. 23, 2016, pp. 381–391. https://doi.org/10.1080/13504509.2015.1124471.
10.
Rotem-MindaliO.WeltevredenJ. W. J.Transport Effects of E-Commerce: What Can be Learned After Years of Research?Transportation, Vol. 40, 2013, pp. 867–885. https://doi.org/10.1007/s11116-013-9457-6.
11.
SuelE.PolakJ. W.Incorporating Online Shopping Into Travel Demand Modelling: Challenges, Progress, and Opportunities. Transport Reviews, Vol.38, 2018, pp. 576–601. https://doi.org/10.1080/01441647.2017.1381864.
12.
WeltevredenJ. W. J.Rotem-MindaliO.Mobility Effects of b2c and c2c E-Commerce in the Netherlands: A Quantitative Assessment. Journal of Transport Geography, Vol.17, 2009, pp. 83–92. https://doi.org/10.1016/j.jtrangeo.2008.11.005.
13.
CaoX.DoumaF.CleavelandF.Influence of E-Shopping on Shopping Travel. Transportation Research Record: Journal of the Transportation Research Board, 2010. 2157: 147–154.
14.
FaragS.SchwanenT.DijstM.FaberJ.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, Vol. 41, 2007, pp. 125–141. https://doi.org/10.1016/j.tra.2006.02.003.
15.
HiseliusL. W.RosqvistL.S.AdellE.Travel Behaviour of Online Shoppers in Sweden. Transport and Telecommunication Journal, Vol.16, 2015, pp. 21–30. https://doi.org/10.1515/ttj-2015-0003.
16.
Hoogendoorn-LanserS.Olde KalterM.-J.SchaapN. T. W.Impact of Different Shopping Stages on Shopping-Related Travel Behaviour: Analyses of the Netherlands Mobility Panel data. Transportation, Vol. 46, 2019, pp. 341–371. https://doi.org/10.1007/s11116-019-09993-7.
17.
KacenJ. J.HessJ. D.Kevin ChiangW.-Y.Bricks or Clicks? Consumer Attitudes Toward Traditional Stores and Online Stores. Global Economics and Management Review, Vol. 18, 2013, pp. 12–21. https://doi.org/10.1016/s2340-1540(13)70003-3.
18.
LeeD.JeongH.ChoJ.JeongJ.MoonJ.Grocery Shopping via T-Commerce in Korea: New Shopping Channel Adoption Behavior Based on Prior E-Commerce Experience. International Food and Agribusiness Management Association, Vol. 18, 2015, pp. 1–16.
19.
LiN. Y.QiaoM. L.A Comparative Study of Online and Offline Consumer Shopping Perceived Risk in Clothing Purchasing. International Journal of Management and Commerce Innovations, Vol.4, No. 1, 2016, pp. 673–676.
20.
TonnB. E.HemrickA.Impacts of the Use of E-Mail and the Internet on Personal Trip-Making Behavior. Social Science Computer Review, Vol. 22, 2004, pp. 270–280. https://doi.org/10.1177/0894439303262581.
21.
ZhaiQ.CaoX.MokhtarianP. L.ZhenF.The Interactions Between E-Shopping and Store Shopping in the Shopping Process for Search Goods and Experience Goods. Transportation, Vol. 44, 2017, pp. 885–904. https://doi.org/10.1007/s11116-016-9683-9.
22.
ZhenF.CaoX.MokhtarianP. L.XiG.Associations Between Online Purchasing and Store Purchasing for Four Types of Products in Nanjing, China. Transportation Research Record: Journal of the Transportation Research Board, 2016. 2566: 93–101.
23.
GruntkowskiL. M.MartinezL. F.Online Grocery Shopping in Germany: Assessing the Impact of COVID-19. Journal of Theoretical and Applied Electronic Commerce Research, Vol.17, 2022, pp. 984–1002.
24.
ShawN.EschenbrennerB.BaierD.Online Shopping Continuance After COVID-19: A Comparison of Canada, Germany and the United States. Journal of Retailing and Consumer Services, Vol.69, 2022, p. 103100. https://doi.org/10.1016/j.jretconser.2022.103100.
25.
MouratidisK.PapagiannakisA.COVID-19, Internet, and Mobility: The Rise of Telework, Telehealth, E-Learning, and E-Shopping. Sustainable Cities and Society, Vol.74, 2021, p. 103182. https://doi.org/10.1016/j.scs.2021.103182.
26.
MouratidisK.PetersS.COVID-19 Impact on Teleactivities: Role of Built Environment and Implications for Mobility. Transportation Research Part A Policy and Practice, Vol.158, 2022, pp. 251–270. https://doi.org/10.1016/j.tra.2022.03.007.
27.
ErjavecJ.ManfredaA. Online Shopping Adoption During COVID-19 and Social Isolation: Extending the UTAUT Model with Herd Behavior. Journal of Retailing and Consumer Services, Vol.65, 2022, p. 102867. https://doi.org/10.1016/j.jretconser.2021.102867.
28.
EchanizE.RodríguezA.CorderaR.BenaventeJ.AlonsoB.SañudoR.Behavioural Changes in Transport and Future Repercussions of the COVID-19 Outbreak in Spain. Transport Policy, Vol.111, 2021, pp. 38–52. https://doi.org/10.1016/j.tranpol.2021.07.011.
29.
KawasakiT.WakashimaH.ShibasakiR.The Use of E-Commerce and the COVID-19 Outbreak: A Panel Data Analysis in Japan. Transport Policy, Vol.115, 2022, pp. 88–100. https://doi.org/10.1016/j.tranpol.2021.10.023.
JallerM.DennisS.E-Commerce and Mobility Trends During COVID-19. In Pandemic in the Metropolis. Springer Tracts on Transportation and Traffic (Loukaitou-SiderisA.BayenA. M.CircellaG.JayakrishnanR., eds.), Vol.20. Springer, Cham, Switzerland, 2023, pp. 79–93.
32.
JameelA. K.LuaibiW.K.AlghalbiI.The Impact of the COVID19 Pandemic on Shopping Trips Behavior in Urban Areas. In Environmental Restoration. F-EIR 2021. Lecture Notes in Civil Engineering (AshishD. K.de BritoJ., eds.), Vol.232. Springer, Cham, Switzerland, 2022, pp. 289–302.
33.
GhodsiM.ArdestaniA.RasaizadiA.GhadamgahiS.YangH.How COVID-19 Pandemic Affected Urban Trips? Structural Interpretive Model of Online Shopping and Passengers Trips during the Pandemic. Sustainability, Vol.13, 2021, p. 11995. https://doi.org/10.3390/su132111995.
34.
AdibfarA.GulhareS.SrinivasanS.CostinA.Analysis and Modeling of Changes in Online Shopping Behavior due to COVID-19 Pandemic: A Florida Case Study. Transport Policy, Vol.126, 2022, pp. 162–176. https://doi.org/10.1016/j.tranpol.2022.07.003.
35.
ShamshiripourA.RahimiE.ShabanpourR.MohammadianA.How Is COVID-19 Reshaping Activity-Travel Behavior? Evidence from a Comprehensive Survey in Chicago. Transportation Research Interdisciplinary Perspectives, Vol.7, 2020, p. 100216. https://doi.org/10.1016/j.trip.2020.100216.
36.
ShenH.NamdarpourF.LinJ.Investigation of Online Grocery Shopping and Delivery Preference Before, During, and After COVID-19. Transportation Research Interdisciplinary Perspectives, Vol.14, 2022, p. 100580. https://doi.org/10.1016/j.trip.2022.100580.
37.
DablancL.HeitzA.Buldeo RaiH.DiziainD.Response to COVID-19 Lockdowns from Urban Freight Stakeholders: An Analysis from Three Surveys in 2020 in France, and Policy Implications. Transport Policy, Vol.122, 2022, pp. 85–94. https://doi.org/10.1016/j.tranpol.2022.04.020.
HorniA.NagelK.AxhausenK., eds. Multi-Agent Transport Simulation MATSim. Ubiquity Press, London, 2016.
40.
SchroederS.ZilskeM.LiedtkeG.NagelK.Towards a Multi-Agent Logistics and Commercial Transport Model: The Transport Service Provider’s View. Procedia - Social and Behavioral Sciences, Vol.39, 2012, pp. 649–663. https://doi.org/10.1016/j.sbspro.2012.03.137.
41.
ThallerC.Strategische Verkehrsprognose: Rückkopplung einer Makroskopischen Extrapolation mit einer Mikroskopischen Verkehrssimulation, Faculty of Engineering, Technical University Dortmund, 2018. https://dx.doi.org/10.17877/DE290R-19348.
42.
ThallerC.A feedback Approach Between a Macroscopic Extrapolation and a Microscopic Transport Simulation for Strategic Transport Planning - Case Study Courier, Express and Parcel Market at Urban Level. Proc., 11th International Conference on City Logistics, Dubrovnik, Croatia, 2019.
43.
ZhangL.MatteisT.ThallerC.LiedtkeG.Simulation-Based Assessment of Cargo Bicycle and Pick-Up Point in Urban Parcel Delivery. Procedia Computer Science, Vol.130, 2018, pp. 18–25. https://doi.org/10.1016/j.procs.2018.04.007.
44.
GrashuisJ.SkevasT.SegoviaM. S.Grocery Shopping Preferences During the COVID-19 Pandemic. Sustainability, Vol.12, No. 13, 2020, p. 5369. https://doi.org/10.3390/su12135369.
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