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Managing household freight: The impact of online shopping on residential freight trips

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  • Beckers, Joris
  • Cardenas, Ivan
  • Sanchez-Diaz, Ivan

Abstract

Freight transport management and planning traditionally relies on freight transport models. However, e-commerce has changed the way freight is transported and requires a paradigm shift in such models. In contrast to conventional purchases in physical outlets, there is a spatial and temporal disconnection between the purchase and the reception of goods bought online. While traditionally the shopper brings home the purchases, the courier, express and parcel (CEP) sector must bridge this leg for the online retail channel by delivering the parcel to the household. These new type of freight trips have been ignored in the literature on freight modeling. Given the increasing number of urban freight trips destined for households, this omission implies significant errors when demonstrating transport impacts, identifying potential innovations, or assessing policy initiatives with these models. Therefore, we develop a framework that demonstrates how households' online consumption translates into freight trips. Three key factors in this framework seem to determine the magnitude of freight traffic originated by household's online shopping: (i) consumer shopping behavior, (ii) the supplier network and distribution system designed by the online store, and (iii) the fragmentation of the CEP market and the density of the delivery network. The identification of these three key factors provides a framework for policy action to mitigate the impact of household freight.

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  • Beckers, Joris & Cardenas, Ivan & Sanchez-Diaz, Ivan, 2022. "Managing household freight: The impact of online shopping on residential freight trips," Transport Policy, Elsevier, vol. 125(C), pages 299-311.
    • Handle: RePEc:eee:trapol:v:125:y:2022:i:c:p:299-311
    DOI: 10.1016/j.tranpol.2022.06.009
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    References listed on IDEAS

    as
    1. Delphine Pernot, 2020. "Internet shopping for Everyday Consumer Goods: An examination of the purchasing and travel practices of click and pickup outlet customers," Post-Print hal-02512133, HAL.
    2. Shultz, Steven D & King, David A, 2001. "The Use of Census Data for Hedonic Price Estimates of Open-Space Amenities and Land Use," The Journal of Real Estate Finance and Economics, Springer, vol. 22(2-3), pages 239-252, March-May.
    3. William P. Anderson & Lata Chatterjee & T.R. Lakshmanan, 2003. "E‐commerce, Transportation, and Economic Geography," Growth and Change, Wiley Blackwell, vol. 34(4), pages 415-432, September.
    4. Elodie Huré & Karine Picot-Coupey & Claire-Lise Ackermann, 2017. "Understanding omni-channel shopping value: A mixed-method study," Post-Print halshs-01595944, HAL.
    5. Shi, Kunbo & De Vos, Jonas & Cheng, Long & Yang, Yongchun & Witlox, Frank, 2021. "The influence of the built environment on online purchases of intangible services: Examining the mediating role of online purchase attitudes," Transport Policy, Elsevier, vol. 114(C), pages 116-126.
    6. Perboli, Guido & Brotcorne, Luce & Bruni, Maria Elena & Rosano, Mariangela, 2021. "A new model for Last-Mile Delivery and Satellite Depots management: The impact of the on-demand economy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    7. Koyuncu, Cuneyt & Bhattacharya, Gautam, 2004. "The impacts of quickness, price, payment risk, and delivery issues on on-line shopping," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(2), pages 241-251, April.
    8. Michele D. Simoni & Edoardo Marcucci & Valerio Gatta & Christian G. Claudel, 2020. "Potential last-mile impacts of crowdshipping services: a simulation-based evaluation," Transportation, Springer, vol. 47(4), pages 1933-1954, August.
    9. Puente-Mejia, Bernardo & Palacios-Argüello, Laura & Suárez-Núñez, Carlos & Gonzalez-Feliu, Jesus, 2020. "Freight trip generation modeling and data collection processes in Latin American cities. Modeling framework for Quito and generalization issues," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 226-241.
    10. Beckers, Joris & Cárdenas, Ivan & Verhetsel, Ann, 2018. "Identifying the geography of online shopping adoption in Belgium," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 33-41.
    11. Heleen Buldeo Rai & Koen Mommens & Sara Verlinde & Cathy Macharis, 2019. "How Does Consumers’ Omnichannel Shopping Behaviour Translate into Travel and Transport Impacts? Case-Study of a Footwear Retailer in Belgium," Sustainability, MDPI, vol. 11(9), pages 1-19, May.
    12. Mathieu Gardrat & Florence Toilier & Danièle Patier & Jean-Louis Routhier, 2016. "The impact of new practices for supplying households in urban goods movements: method and first results. An application for Lyon, France," Post-Print halshs-01586947, HAL.
    13. Iván Sánchez-Díaz & José Holguín-Veras & Xiaokun Wang, 2016. "An exploratory analysis of spatial effects on freight trip attraction," Transportation, Springer, vol. 43(1), pages 177-196, January.
    14. Iván Sánchez-Díaz & José Holguín-Veras & Xiaokun Wang, 2016. "An exploratory analysis of spatial effects on freight trip attraction," Transportation, Springer, vol. 43(1), pages 177-196, January.
    15. Huré, Elodie & Picot-Coupey, Karine & Ackermann, Claire-Lise, 2017. "Understanding omni-channel shopping value: A mixed-method study," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 314-330.
    16. Dominici, Andrea & Boncinelli, Fabio & Gerini, Francesca & Marone, Enrico, 2021. "Determinants of online food purchasing: The impact of socio-demographic and situational factors," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    17. Hood, Nick & Urquhart, Ryan & Newing, Andy & Heppenstall, Alison, 2020. "Sociodemographic and spatial disaggregation of e-commerce channel use in the grocery market in Great Britain," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    18. Sendy Farag & Jesse Weltevreden & Ton van Rietbergen & Martin Dijst & Frank van Oort, 2006. "E-Shopping in the Netherlands: Does Geography Matter?," Environment and Planning B, , vol. 33(1), pages 59-74, February.
    19. Eger, Ludvík & Komárková, Lenka & Egerová, Dana & MiÄ Ã­k, Michal, 2021. "The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    20. G. Clarke & J. W. Wright, 1964. "Scheduling of Vehicles from a Central Depot to a Number of Delivery Points," Operations Research, INFORMS, vol. 12(4), pages 568-581, August.
    21. Ann Verhetsel & Joris Beckers & Michiel Meyere, 2018. "Assessing Daily Urban Systems: A Heterogeneous Commuting Network Approach," Networks and Spatial Economics, Springer, vol. 18(3), pages 633-656, September.
    22. Beckers, Joris & Weekx, Simon & Beutels, Philippe & Verhetsel, Ann, 2021. "COVID-19 and retail: The catalyst for e-commerce in Belgium?," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    23. S V Subramanian & Craig Duncan & Kelvyn Jones, 2001. "Multilevel Perspectives on Modeling Census Data," Environment and Planning A, , vol. 33(3), pages 399-417, March.
    24. Elodie Huré & Karine Picot-Coupey & Claire-Lise Ackermann, 2017. "Understanding omni-channel shopping value: A mixed-method study," Post-Print hal-02002141, HAL.
    25. Bhat, Chandra R. & Steed, Jennifer L., 2002. "A continuous-time model of departure time choice for urban shopping trips," Transportation Research Part B: Methodological, Elsevier, vol. 36(3), pages 207-224, March.
    26. Gabriele Iannaccone & Edoardo Marcucci & Valerio Gatta, 2021. "What Young E-Consumers Want? Forecasting Parcel Lockers Choice in Rome," Logistics, MDPI, vol. 5(3), pages 1-16, August.
    27. Shao, Rui & Derudder, Ben & Witlox, Frank, 2022. "The geography of e-shopping in China: On the role of physical and virtual accessibility," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    28. Zhou, Yiwei & Wang, Xiaokun (Cara), 2014. "Explore the relationship between online shopping and shopping trips: An analysis with the 2009 NHTS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 1-9.
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    Cited by:

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    2. Kotzab, Herbert & Yumurtacı Hüseyinoğlu, Işık Özge & Şen, Irmak & Mena, Carlos, 2024. "Exploring home delivery service attributes: Sustainability versus delivery expectations during the COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    3. Shulin Wang & Shanhua Wu, 2023. "Optimizing the Location of Virtual-Shopping-Experience Stores Based on the Minimum Impact on Urban Traffic," Sustainability, MDPI, vol. 15(13), pages 1-25, June.

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