IDEAS home Printed from https://ideas.repec.org/a/spr/jtrsec/v16y2023i1d10.1007_s12198-023-00267-z.html
   My bibliography  Save this article

Factors influencing cargo robbery in last-mile delivery of e-commerce: an empirical study in Brazil

Author

Listed:
  • Beatriz Torres Silva

    (Centro Universitario FEI)

  • Mauro Sampaio

    (Centro Universitario FEI)

Abstract

This empirical study examines the factors influencing cargo robbery incidents in Brazil’s last-mile e-commerce delivery. By analyzing historical data from a leading online retailer, the study identifies variables such as shipment value, quantity, time of day, use of third-party services, and the presence or absence of an escort. The findings demonstrate the significant impact of these factors on the severity of cargo robbery incidents in the last-mile delivery process. These results provide valuable insights for developing effective risk management strategies to mitigate cargo robbery risks in the e-commerce sector. The study contributes to the literature on cargo security in last-mile delivery and offers practical implications for businesses, logistics professionals, and policymakers involved in the Brazilian e-commerce industry.

Suggested Citation

  • Beatriz Torres Silva & Mauro Sampaio, 2023. "Factors influencing cargo robbery in last-mile delivery of e-commerce: an empirical study in Brazil," Journal of Transportation Security, Springer, vol. 16(1), pages 1-30, December.
    • Handle: RePEc:spr:jtrsec:v:16:y:2023:i:1:d:10.1007_s12198-023-00267-z
    DOI: 10.1007/s12198-023-00267-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12198-023-00267-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12198-023-00267-z?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. Daniel Ekwall & Björn Lantz, 2022. "Seasonality of incident types in transport crime – Analysis of TAPA statistics," Journal of Transportation Security, Springer, vol. 15(3), pages 193-222, December.
    2. Ferrer, José M. & Martín-Campo, F. Javier & Ortuño, M. Teresa & Pedraza-Martínez, Alfonso J. & Tirado, Gregorio & Vitoriano, Begoña, 2018. "Multi-criteria optimization for last mile distribution of disaster relief aid: Test cases and applications," European Journal of Operational Research, Elsevier, vol. 269(2), pages 501-515.
    3. Guerin, Leonardo & Vieira, José Geraldo Vidal & de Oliveira, Renata Lúcia Magalhães & de Oliveira, Leise Kelli & de Miranda Vieira, Henrique Ewbank & Dablanc, Laetitia, 2021. "The geography of warehouses in the São Paulo Metropolitan Region and contributing factors to this spatial distribution," Journal of Transport Geography, Elsevier, vol. 91(C).
    4. Léonardo Guerin & José Geraldo Vidal Vieira & Renata Lúcia Magalhães de Oliveira & Leise Kelli de Oliveira & Henrique Ewbank de Miranda Vieira & Laetitia Dablanc, 2021. "The geography of warehouses in the São Paulo Metropolitan Region and contributing factors to this spatial distribution," Post-Print hal-03565703, HAL.
    5. Vieira, José Geraldo Vidal & Fransoo, Jan C. & Carvalho, Carla Deguirmendjian, 2015. "Freight distribution in megacities: Perspectives of shippers, logistics service providers and carriers," Journal of Transport Geography, Elsevier, vol. 46(C), pages 46-54.
    Full references (including those not matched with items on IDEAS)

    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. Trent, Nadia M. & Joubert, Johan W., 2022. "Logistics sprawl and the change in freight transport activity: A comparison of three measurement methodologies," Journal of Transport Geography, Elsevier, vol. 101(C).
    2. Liang, Xinrui & Fan, Shiqi & Lucy, John & Yang, Zaili, 2022. "Risk analysis of cargo theft from freight supply chains using a data-driven Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    3. Wang, Kailai & Chen, Zhenhua & Cheng, Long & Zhu, Pengyu & Shi, Jian & Bian, Zheyong, 2023. "Integrating spatial statistics and machine learning to identify relationships between e-commerce and distribution facilities in Texas, US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    4. Pedro A. P. Dias & Hugo Yoshizaki & Patricia Favero & Jose Geraldo Vidal Vieira, 2019. "Daytime or Overnight Deliveries? Perceptions of Drivers and Retailers in São Paulo City," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
    5. Hu, Shaolong & Han, Chuanfeng & Dong, Zhijie Sasha & Meng, Lingpeng, 2019. "A multi-stage stochastic programming model for relief distribution considering the state of road network," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 64-87.
    6. Amaya, Johanna & Arellana, Julian & Delgado-Lindeman, Maira, 2020. "Stakeholders perceptions to sustainable urban freight policies in emerging markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 329-348.
    7. Muñuzuri, Jesús & Cuberos, Manuel & Abaurrea, Fátima & Escudero, Alejandro, 2017. "Improving the design of urban loading zone systems," Journal of Transport Geography, Elsevier, vol. 59(C), pages 1-13.
    8. Wadi Khalid Anuar & Lai Soon Lee & Hsin-Vonn Seow & Stefan Pickl, 2021. "A Multi-Depot Vehicle Routing Problem with Stochastic Road Capacity and Reduced Two-Stage Stochastic Integer Linear Programming Models for Rollout Algorithm," Mathematics, MDPI, vol. 9(13), pages 1-44, July.
    9. Zhang, Guowei & Zhu, Ning & Ma, Shoufeng & Xia, Jun, 2021. "Humanitarian relief network assessment using collaborative truck-and-drone system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    10. Jianfang Shao & Changyong Liang & Xihui Wang & Xiang Wang & Liang Liang, 2020. "Relief Demand Calculation in Humanitarian Logistics Using Material Classification," IJERPH, MDPI, vol. 17(2), pages 1-25, January.
    11. Darya Hrydziushka & Urooj Pasha & Arild Hoff, 2021. "An Extended Model for Disaster Relief Operations Used on the Hagibis Typhoon Case in Japan," Logistics, MDPI, vol. 5(2), pages 1-30, June.
    12. Klauenberg, Jens & Elsner, Lucas-Andrés & Knischewski, Christian, 2020. "Dynamics of the spatial distribution of hubs in groupage networks – The case of Berlin," Journal of Transport Geography, Elsevier, vol. 88(C).
    13. Javier León & Justo Puerto & Begoña Vitoriano, 2020. "A Risk-Aversion Approach for the Multiobjective Stochastic Programming Problem," Mathematics, MDPI, vol. 8(11), pages 1-26, November.
    14. Sijing Liu & Jiuping Xu & Xiaoyuan Shi & Guoqi Li & Dinglong Liu, 2018. "Sustainable Distribution Organization Based on the Supply–Demand Coordination in Large Chinese Cities," Sustainability, MDPI, vol. 10(9), pages 1-25, August.
    15. Guarino Neto, Luigi & Geraldo Vidal Vieira, José, 2023. "An investigation of consumer intention to use pick-up point services for last-mile distribution in a developing country," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    16. Renata Lúcia Magalhães de Oliveira & Camila Soares Henrique Fontanele Garcia & Paulo Henrique Góes Pinto, 2020. "Accessibility to Food Retailers: The Case of Belo Horizonte, Brazil," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    17. Jiménez, Mariano & Bilbao-Terol, Amelia & Arenas-Parra, Mar, 2021. "Incorporating preferential weights as a benchmark into a Sequential Reference Point Method," European Journal of Operational Research, Elsevier, vol. 291(2), pages 575-585.
    18. Muñoz-Villamizar, Andrés & Santos, Javier & Montoya-Torres, Jairo R. & Jaca, Carmen, 2018. "Using OEE to evaluate the effectiveness of urban freight transportation systems: A case study," International Journal of Production Economics, Elsevier, vol. 197(C), pages 232-242.
    19. Min Dong & Yuhao Li & Xinglu Xu & Yaping Zha, 2022. "A Practical Accessibility Evaluation Method for Port-Centric Coal Transportation Chains: Considering the Environment and Operational Adaptability," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    20. Priyank Arora & Wei Wei & Senay Solak, 2021. "Improving Outcomes in Child Care Subsidy Voucher Programs under Regional Asymmetries," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4435-4454, December.

    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:spr:jtrsec:v:16:y:2023:i:1:d:10.1007_s12198-023-00267-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.