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Understanding the dynamics of crowdshipping in last-mile distribution within urban mobility: A comprehensive framework

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  • Garcia-Herrera, Alisson
  • Serrano-Hernandez, Adrian
  • Faulin, Javier

Abstract

Crowdshipping, a collaborative economy model that takes advantage of the crowd for the delivery of goods, promises to address the problems of urban logistics. This article integrates the literature to identify relevant factors that influence the success of crowdshipping, while addressing sustainability objectives. We use the PRISMA method, a widely recognized framework for systematic reviews that, by meeting high-quality standards, guarantees the reliability of the evidence. We systematically reviewed the literature to address three research questions: identifying factors that influence crowdshipping success, evaluating its contribution to sustainability goals, and evaluating the role of Operation Research (OR) in improving crowdshipping efficiency. Specifically, OR techniques offer significant potential for optimizing routing, matching supply and demand, and enhancing decision-making processes. Through this comprehensive and in-depth analysis, we provide information for future research, modeling, practical implementation, and potential policy recommendations.

Suggested Citation

  • Garcia-Herrera, Alisson & Serrano-Hernandez, Adrian & Faulin, Javier, 2025. "Understanding the dynamics of crowdshipping in last-mile distribution within urban mobility: A comprehensive framework," Socio-Economic Planning Sciences, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:soceps:v:101:y:2025:i:c:s0038012125000989
    DOI: 10.1016/j.seps.2025.102249
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    1. Jose Alejandro Cano & Abraham Londoño-Pineda & Carolina Rodas, 2022. "Sustainable Logistics for E-Commerce: A Literature Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    2. Yu, Vincent F. & Jodiawan, Panca & Hou, Ming-Lu & Gunawan, Aldy, 2021. "Design of a two-echelon freight distribution system in last-mile logistics considering covering locations and occasional drivers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    3. Fabian Torres & Michel Gendreau & Walter Rei, 2022. "Vehicle Routing with Stochastic Supply of Crowd Vehicles and Time Windows," Transportation Science, INFORMS, vol. 56(3), pages 631-653, May.
    4. Yu, Vincent F. & Jodiawan, Panca & Redi, A.A.N. Perwira, 2022. "Crowd-shipping problem with time windows, transshipment nodes, and delivery options," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    5. Di Puglia Pugliese, Luigi & Ferone, Daniele & Macrina, Giusy & Festa, Paola & Guerriero, Francesca, 2023. "The crowd-shipping with penalty cost function and uncertain travel times," Omega, Elsevier, vol. 115(C).
    6. Quan Dai & Hongfei Jia & Yao Liu, 2020. "Private vehicle-based crowdshipping for intercity express transportation: Feasibility assessment," International Journal of Distributed Sensor Networks, , vol. 16(2), pages 15501477209, February.
    7. Valentina Carbone & Aurélien Rouquet & Christine Roussat, 2017. "The Rise of Crowd Logistics: A New Way to Co‐Create Logistics Value," Post-Print hal-03118967, HAL.
    8. Punel, Aymeric & Stathopoulos, Amanda, 2017. "Modeling the acceptability of crowdsourced goods deliveries: Role of context and experience effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 18-38.
    9. Leise Kelli de Oliveira & Isabela Kopperschmidt de Oliveira & João Guilherme da Costa Braga França & Gustavo Wagner Nunes Balieiro & Jean Francisco Cardoso & Tiago Bogo & Diego Bogo & Marco Adriano Li, 2022. "Integrating Freight and Public Transport Terminals Infrastructure by Locating Lockers: Analysing a Feasible Solution for a Medium-Sized Brazilian Cities," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    10. Fotios Petropoulos & Gilbert Laporte & Emel Aktas & Sibel A. Alumur & Claudia Archetti & Hayriye Ayhan & Maria Battarra & Julia A. Bennell & Jean-Marie Bourjolly & John E. Boylan & Michèle Breton & Da, 2024. "Operational Research: methods and applications," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 75(3), pages 423-617, March.
    11. Andrii Galkin & Tibor Schlosser & Ivan Cardenas & Dominika Hodakova & Silvia Capayova, 2021. "Freight Demand and Supply Assessment for Implementation of Crowdsourcing Technology: A Case Study in Bratislava, Slovakia," Sustainability, MDPI, vol. 13(7), pages 1-22, March.
    12. Marco Bortolini & Francesca Calabrese & Francesco Gabriele Galizia, 2022. "Crowd Logistics: A Survey of Successful Applications and Implementation Potential in Northern Italy," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    13. Chandra Kant Upadhyay & Vijayshri Tewari & Vineet Tiwari, 2021. "Assessing the impact of sharing economy through adoption of ICT based crowdshipping platform for last-mile delivery in urban and semi-urban India," Information Technology for Development, Taylor & Francis Journals, vol. 27(4), pages 670-696, October.
    14. 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.
    15. Figliozzi, Miguel & Saenz, Jesus & Faulin, Javier, 2020. "Minimization of urban freight distribution lifecycle CO2e emissions: Results from an optimization model and a real-world case study," Transport Policy, Elsevier, vol. 86(C), pages 60-68.
    16. Bartosz Sawik, 2024. "Optimizing Last-Mile Delivery: A Multi-Criteria Approach with Automated Smart Lockers, Capillary Distribution and Crowdshipping," Logistics, MDPI, vol. 8(2), pages 1-29, May.
    17. Martin Savelsbergh & Marlin W. Ulmer, 2024. "Challenges and opportunities in crowdsourced delivery planning and operations—an update," Annals of Operations Research, Springer, vol. 343(2), pages 639-661, December.
    18. Simona Mancini & Margaretha Gansterer, 2024. "Bundle generation for the vehicle routing problem with occasional drivers and time windows," Flexible Services and Manufacturing Journal, Springer, vol. 36(4), pages 1189-1221, December.
    19. Peng, Shouguo & Park, Woo-Yong & Eltoukhy, Abdelrahman E.E. & Xu, Min, 2024. "Outsourcing service price for crowd-shipping based on on-demand mobility services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    20. Anuj Mittal & Amy A. Marusak & Caroline C. Krejci & Narjes Sadeghiamirshahidi & K. Jamie Rogers, 2022. "Evaluating the Suitability of Crowd-Shipping Platforms for Small and Medium-Sized Enterprises," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    21. Ahamed, Tanvir & Zou, Bo & Farazi, Nahid Parvez & Tulabandhula, Theja, 2021. "Deep Reinforcement Learning for Crowdsourced Urban Delivery," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 227-257.
    22. Shen, Hui & Lin, Jane, 2020. "Investigation of crowdshipping delivery trip production with real-world data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    23. Raúl Martín-Santamaría & Ana D. López-Sánchez & María Luisa Delgado-Jalón & J. Manuel Colmenar, 2021. "An Efficient Algorithm for Crowd Logistics Optimization," Mathematics, MDPI, vol. 9(5), pages 1-19, March.
    24. Sina Mohri, Seyed & Ghaderi, Hadi & Nassir, Neema & Thompson, Russell G., 2023. "Crowdshipping for sustainable urban logistics: A systematic review of the literature," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).
    25. Chandra Kant Upadhyay & Vijayshri Tiwari & Vineet Tiwari, 2022. "Generation “Z” willingness to participate in crowdshipping services to achieve sustainable last-mile delivery in emerging market," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 19(9), pages 2446-2471, November.
    26. Pourrahmani, Elham & Jaller, Miguel, 2021. "Crowdshipping in last mile deliveries: Operational challenges and research opportunities," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    27. Fessler, Andreas & Cash, Philip & Thorhauge, Mikkel & Haustein, Sonja, 2023. "A public transport based crowdshipping concept: Results of a field test in Denmark," Transport Policy, Elsevier, vol. 134(C), pages 106-118.
    28. Martin Savelsbergh & Tom Van Woensel, 2016. "50th Anniversary Invited Article—City Logistics: Challenges and Opportunities," Transportation Science, INFORMS, vol. 50(2), pages 579-590, May.
    29. Wang, Li & Xu, Min & Qin, Hu, 2023. "Joint optimization of parcel allocation and crowd routing for crowdsourced last-mile delivery," Transportation Research Part B: Methodological, Elsevier, vol. 171(C), pages 111-135.
    30. Stokkink, Patrick & Geroliminis, Nikolas, 2023. "A continuum approximation approach to the depot location problem in a crowd-shipping system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 176(C).
    31. Valerio Gatta & Edoardo Marcucci & Marialisa Nigro & Sergio Maria Patella & Simone Serafini, 2018. "Public Transport-Based Crowdshipping for Sustainable City Logistics: Assessing Economic and Environmental Impacts," Sustainability, MDPI, vol. 11(1), pages 1-14, December.
    32. Archetti, Claudia & Savelsbergh, Martin & Speranza, M. Grazia, 2016. "The Vehicle Routing Problem with Occasional Drivers," European Journal of Operational Research, Elsevier, vol. 254(2), pages 472-480.
    33. Matthew J Page & Joanne E McKenzie & Patrick M Bossuyt & Isabelle Boutron & Tammy C Hoffmann & Cynthia D Mulrow & Larissa Shamseer & Jennifer M Tetzlaff & Elie A Akl & Sue E Brennan & Roger Chou & Jul, 2021. "The PRISMA 2020 statement: An updated guideline for reporting systematic reviews," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-15, March.
    34. Iman Dayarian & Martin Savelsbergh, 2020. "Crowdshipping and Same‐day Delivery: Employing In‐store Customers to Deliver Online Orders," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2153-2174, September.
    35. Kianoush Mousavi & Merve Bodur & Matthew J. Roorda, 2022. "Stochastic Last-Mile Delivery with Crowd-Shipping and Mobile Depots," Transportation Science, INFORMS, vol. 56(3), pages 612-630, May.
    36. Marco Silva & João Pedro Pedroso, 2022. "Deep Reinforcement Learning for Crowdshipping Last-Mile Delivery with Endogenous Uncertainty," Mathematics, MDPI, vol. 10(20), pages 1-23, October.
    37. Banister, David, 2008. "The sustainable mobility paradigm," Transport Policy, Elsevier, vol. 15(2), pages 73-80, March.
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