IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v121y2019icp84-99.html
   My bibliography  Save this article

Assessing the impacts of collection-delivery points to individual’s activity-travel patterns: A greener last mile alternative?

Author

Listed:
  • Liu, Chengxi
  • Wang, Qian
  • Susilo, Yusak O.

Abstract

The transport impacts of collection-delivery points (CDPs), as an alternative to home delivery, are rarely studied. As e-shopping becomes increasingly popular, trips to collect deliveries at CDP, especially by car travel, may generate a considerable amount of external effects, such as emissions. Therefore, this paper analysed the “picking up/leaving goods” trips selected from the Swedish National Travel Survey and jointly modelled the individuals’ mode choice and trip chaining decisions using a panel cross-nested logit model. The roles of trip chain characteristics, individual socio-demographics and land use characteristics on each trip chain and mode choice combination are investigated. The results indicate observed and unobserved heterogeneities of trip chaining and mode choice decisions among populations. Young adults living with partners/spouses, single adults with children and partnered adults with children have the preference of using cars in collection-delivery trips compared to other life-cycle groups. A sensitivity analysis is carried out to estimate the effect of distance to CDPs on vehicle kilometres travelled. The calibrated model is used to estimate the VKT of collection-delivery trips in the greater Stockholm area. The results indicate a 22.5% reduction of VKT from collection-delivery trips by relocating 5% CDPs from urban areas to suburban and rural areas.

Suggested Citation

  • Liu, Chengxi & Wang, Qian & Susilo, Yusak O., 2019. "Assessing the impacts of collection-delivery points to individual’s activity-travel patterns: A greener last mile alternative?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 84-99.
    • Handle: RePEc:eee:transe:v:121:y:2019:i:c:p:84-99
    DOI: 10.1016/j.tre.2017.08.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554517301886
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2017.08.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gonzalez Feliu, Jesus & Ambrosini, Christian & Routhier, Jean-Louis, 2012. "New trends on urban goods movement modelling: proximity delivery versus shopping trips," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 50, pages 1-2.
    2. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    3. Agostino Nuzzolo & Antonio Comi & Luca Rosati, 2014. "City logistics long-term planning: simulation of shopping mobility and goods restocking and related support systems," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(2), pages 201-217, July.
    4. Nurul Habib, Khandker M. & Day, Nicholas & Miller, Eric J., 2009. "An investigation of commuting trip timing and mode choice in the Greater Toronto Area: Application of a joint discrete-continuous model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 639-653, August.
    5. Jesus Gonzalez-Feliu & Christian Ambrosini & Jean-Louis Routhier, 2012. "New trends on urban goods movement: Modelling and simulation of e-commerce distribution," Post-Print halshs-00626152, HAL.
    6. Bhat, Chandra R. & Sivakumar, Aruna & Axhausen, Kay W., 2003. "An analysis of the impact of information and communication technologies on non-maintenance shopping activities," Transportation Research Part B: Methodological, Elsevier, vol. 37(10), pages 857-881, December.
    7. Eléonora Morganti & Laetitia Dablanc & François Fortin, 2014. "Final deliveries for online shopping: the deployment of pickup point networks in urban and suburban areas," Post-Print hal-01067223, HAL.
    8. Ye, Xin & Pendyala, Ram M. & Gottardi, Giovanni, 2007. "An exploration of the relationship between mode choice and complexity of trip chaining patterns," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 96-113, January.
    9. Jan-Dirk Schmöcker & Fengming Su & Robert Noland, 2010. "An analysis of trip chaining among older London residents," Transportation, Springer, vol. 37(1), pages 105-123, January.
    10. Yusak Susilo & Kees Maat, 2007. "The influence of built environment to the trends in commuting journeys in the Netherlands," Transportation, Springer, vol. 34(5), pages 589-609, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Hye-jeong & Fang, Mingjie & Yao, Jinge & Su, Miao, 2023. "Green cooperation in last-mile logistics and consumer loyalty: An empirical analysis of a theoretical framework," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    2. Li, Leiting & Huang, Min & Yue, Xiaohang & Wang, Xingwei, 2024. "The strategic analysis of collection delivery points network sharing in last-mile logistics market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    3. Bayliss, Christopher & Bektaş, Tolga & Tjon-Soei-Len, Vernon & Rohner, Remo, 2023. "Designing a multi-modal and variable-echelon delivery system for last-mile logistics," European Journal of Operational Research, Elsevier, vol. 307(2), pages 645-662.
    4. Xu, Xianhao & Shen, Yaohan & (Amanda) Chen, Wanying & Gong, Yeming & Wang, Hongwei, 2021. "Data-driven decision and analytics of collection and delivery point location problems for online retailers," Omega, Elsevier, vol. 100(C).
    5. Fuqiang Zhang & Xiaole Wu & Christopher S. Tang & Tianjun Feng & Yue Dai, 2020. "Evolution of Operations Management Research: from Managing Flows to Building Capabilities," Production and Operations Management, Production and Operations Management Society, vol. 29(10), pages 2219-2229, October.
    6. Tang, Christopher S. & Veelenturf, Lucas P., 2019. "The strategic role of logistics in the industry 4.0 era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 1-11.
    7. Fehn, Fabian & Engelhardt, Roman & Dandl, Florian & Bogenberger, Klaus & Busch, Fritz, 2023. "Integrating parcel deliveries into a ride-pooling service—An agent-based simulation study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    8. Chu, Xiang & Liu, Jun & Ren, Long & Gong, Daqing, 2020. "Optimal contract design with a common agency in last-mile logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 139(C).
    9. Peppel, Marcel & Ringbeck, Jürgen & Spinler, Stefan, 2022. "How will last-mile delivery be shaped in 2040? A Delphi-based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 177(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Zhouying Song, 2022. "The geography of online shopping in China and its key drivers," Environment and Planning B, , vol. 49(1), pages 259-274, January.
    3. Janjevic, Milena & Winkenbach, Matthias, 2020. "Characterizing urban last-mile distribution strategies in mature and emerging e-commerce markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 164-196.
    4. Chengxi Liu & Yusak O. Susilo & Anders Karlström, 2016. "Measuring the impacts of weather variability on home-based trip chaining behaviour: a focus on spatial heterogeneity," Transportation, Springer, vol. 43(5), pages 843-867, September.
    5. Makoto Chikaraishi & Akimasa Fujiwara & Junyi Zhang & Kay Axhausen, 2011. "Identifying variations and co-variations in discrete choice models," Transportation, Springer, vol. 38(6), pages 993-1016, November.
    6. Wan, Li & Tang, Junqing & Wang, Lihua & Schooling, Jennifer, 2021. "Understanding non-commuting travel demand of car commuters – Insights from ANPR trip chain data in Cambridge," Transport Policy, Elsevier, vol. 106(C), pages 76-87.
    7. Jesus Gonzalez-Feliu & Bruno Durand & Dina Andriankaja, 2012. "Challenges in last-mile e-grocery urban distribution: have new B2C trends a positive impact on the environment? [Les défis du dernier kilomètre pour l'épicerie en ligne : l'impact environnemental d," Post-Print hal-01770405, HAL.
    8. Gonzalez-Feliu, Jesus & Sánchez-Díaz, Iván, 2019. "The influence of aggregation level and category construction on estimation quality for freight trip generation models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 134-148.
    9. Xuemei Fu & Zhicai Juan, 2017. "An integrated framework to jointly model decisions of activity time allocation and work-related travel," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(6), pages 689-705, August.
    10. Joseph F. Wyer, 2018. "Urban Transportation Mode Choice And Trip Complexity: Bicyclists Stick To Their Gears," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1777-1787, July.
    11. Sanjana Hossain & Md. Sami Hasnine & Khandker Nurul Habib, 2021. "A latent class joint mode and departure time choice model for the Greater Toronto and Hamilton Area," Transportation, Springer, vol. 48(3), pages 1217-1239, June.
    12. Han Dong & Cinzia Cirillo & Marco Diana, 2018. "Activity involvement and time spent on computers for leisure: an econometric analysis on the American Time Use Survey dataset," Transportation, Springer, vol. 45(2), pages 429-449, March.
    13. Khandker Nurul Habib & Yuan Tian & Hamid Zaman, 2011. "Modelling commuting mode choice with explicit consideration of carpool in the choice set formation," Transportation, Springer, vol. 38(4), pages 587-604, July.
    14. Shenhao Wang & Qingyi Wang & Jinhua Zhao, 2019. "Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data," Papers 1901.00227, arXiv.org, revised Aug 2019.
    15. Günter Wallner & Simone Kriglstein & Edward Chung & Syeed Anta Kashfi, 2018. "Visualisation of trip chaining behaviour and mode choice using household travel survey data," Public Transport, Springer, vol. 10(3), pages 427-453, December.
    16. Ponboon, Sattrawut & Qureshi, Ali Gul & Taniguchi, Eiichi, 2016. "Branch-and-price algorithm for the location-routing problem with time windows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 86(C), pages 1-19.
    17. Bobin Wang & Chunfu Shao & Xun Ji, 2017. "Influencing Mechanism Analysis of Holiday Activity–Travel Patterns on Transportation Energy Consumption and Emissions in China," Energies, MDPI, vol. 10(7), pages 1-20, July.
    18. Huang, Yuqiao & Gao, Linjie & Ni, Anning & Liu, Xiaoning, 2021. "Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 93(C).
    19. Pettersson, Pierre & Schmöcker, Jan-Dirk, 2010. "Active ageing in developing countries? – trip generation and tour complexity of older people in Metro Manila," Journal of Transport Geography, Elsevier, vol. 18(5), pages 613-623.
    20. Ivan Cardenas & Yari Borbon-Galvez & Thomas Verlinden & Eddy Van de Voorde & Thierry Vanelslander & Wouter Dewulf, 2017. "City logistics, urban goods distribution and last mile delivery and collection," Competition and Regulation in Network Industries, , vol. 18(1-2), pages 22-43, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:121:y:2019:i:c:p:84-99. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.