Crowdshipping for sustainable urban logistics: A systematic review of the literature
Author
Abstract
Suggested Citation
DOI: 10.1016/j.tre.2023.103289
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Behrend, Moritz & Meisel, Frank & Fagerholt, Kjetil & Andersson, Henrik, 2021. "A multi-period analysis of the integrated item-sharing and crowdshipping problem," European Journal of Operational Research, Elsevier, vol. 292(2), pages 483-499.
- Lafkihi, Mariam & Pan, Shenle & Ballot, Eric, 2019. "Freight transportation service procurement: A literature review and future research opportunities in omnichannel E-commerce," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 348-365.
- Devari, Aashwinikumar & Nikolaev, Alexander G. & He, Qing, 2017. "Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 105-122.
- Akeb, Hakim & Moncef, Btissam & Durand, Bruno, 2018. "Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 223-233.
- He, Bo & Mirchandani, Prakash & Wang, Yong, 2020. "Removing barriers for grocery stores: O2O platform and self-scheduling delivery capacity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
- Alnaggar, Aliaa & Gzara, Fatma & Bookbinder, James H., 2021. "Crowdsourced delivery: A review of platforms and academic literature," Omega, Elsevier, vol. 98(C).
- Junyu Cao & Mariana Olvera-Cravioto & Zuo-Jun (Max) Shen, 2020. "Last-Mile Shared Delivery: A Discrete Sequential Packing Approach," Mathematics of Operations Research, INFORMS, vol. 45(4), pages 1466-1497, November.
- Vahideh Manshadi & Scott Rodilitz, 2022. "Online Policies for Efficient Volunteer Crowdsourcing," Management Science, INFORMS, vol. 68(9), pages 6572-6590, September.
- Pourrahmani, Elham & Jaller, Miguel, 2021. "Crowdshipping in last mile deliveries: Operational challenges and research opportunities," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
- He, Shan & Dai, Ying & Ma, Zu-Jun, 2023. "To offer or not to offer? The optimal value-insured strategy for crowdsourced delivery platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
- Le, Tho V. & Ukkusuri, Satish V. & Xue, Jiawei & Van Woensel, Tom, 2021. "Designing pricing and compensation schemes by integrating matching and routing models for crowd-shipping systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
- Behrend, Moritz & Meisel, Frank & Fagerholt, Kjetil & Andersson, Henrik, 2019. "An exact solution method for the capacitated item-sharing and crowdshipping problem," European Journal of Operational Research, Elsevier, vol. 279(2), pages 589-604.
- 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.
- Kung, Ling-Chieh & Zhong, Guan-Yu, 2017. "The optimal pricing strategy for two-sided platform delivery in the sharing economy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 1-12.
- Boysen, Nils & Emde, Simon & Schwerdfeger, Stefan, 2022. "Crowdshipping by employees of distribution centers: Optimization approaches for matching supply and demand," European Journal of Operational Research, Elsevier, vol. 296(2), pages 539-556.
- Ghaderi, Hadi & Zhang, Lele & Tsai, Pei-Wei & Woo, Jihoon, 2022. "Crowdsourced last-mile delivery with parcel lockers," International Journal of Production Economics, Elsevier, vol. 251(C).
- Allahviranloo, Mahdieh & Baghestani, Amirhossein, 2019. "A dynamic crowdshipping model and daily travel behavior," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 175-190.
- 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).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Mohri, Seyed Sina & Nassir, Neema & Thompson, Russell G. & Lavieri, Patricia Sauri & Ghaderi, Hadi, 2025. "Crowd-shipping systems with public transport passengers: Operational planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
- 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).
- Tang, Shixuan & Huang, Wentao & Jian, Sisi, 2025. "Integrating crowd-shipping into last-mile delivery: A two-stage stochastic optimization approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 203(C).
- Sina Mohri, Seyed & Nassir, Neema & Thompson, Russell G. & Ghaderi, Hadi, 2024. "Last-Mile logistics with on-premises parcel Lockers: Who are the real Beneficiaries?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
- Chua, Rachel & Wu, Min & Yuen, Kum Fai, 2025. "Sustainable crowdshipping: Navigating technological fit and security risks," Technology in Society, Elsevier, vol. 81(C).
- Guo, Jiantao & Deng, Lan & Gong, Baichuan, 2024. "An online auction-based mechanism for pricing and allocation of instant delivery services," Transportation Research Part B: Methodological, Elsevier, vol. 190(C).
- Annarita De Maio & Jeffrey W. Ohlmann & Sara Stoia & Francesca Vocaturo, 2025. "Analysis of in-store crowdshipping in a stochastic dynamic pickup-and-delivery system," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 33(3), pages 1149-1170, September.
- Muhammad Ali Aslam & Zhaolei Li, 2026. "A Way of Optimization of Last-Mile Logistics Operations. A Knowledge-Driven Literature review," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 17(1), pages 1414-1447, February.
- Sina Mohri, Seyed & Ghaderi, Hadi & Van Woensel, Tom & Mohammadi, Mehrdad & Nassir, Neema & Thompson, Russell G., 2024. "Contextualizing alternative delivery points in last mile delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
- Sun, Xuting & Kuo, Yong-Hong & Xue, Weili & Li, Yanzhi, 2024. "Technology-driven logistics and supply chain management for societal impacts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
- Mohri, Seyed Sina & Nassir, Neema & Thompson, Russell G. & Lavieri, Patricia Sauri, 2024. "Public transportation-based crowd-shipping initiatives: Are users willing to participate? Why not?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
- Yang, Dingtong & Hyland, Michael F. & Jayakrishnan, R., 2024. "Tackling the crowdsourced shared-trip delivery problem at scale with a novel decomposition heuristic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
- Emde, Simon & Tudoran, Ana Alina, 2025. "The first mile is the hardest: A deep learning-assisted matheuristic for container assignment in first-mile logistics," European Journal of Operational Research, Elsevier, vol. 324(1), pages 335-350.
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.- Yang, Dingtong & Hyland, Michael F. & Jayakrishnan, R., 2024. "Tackling the crowdsourced shared-trip delivery problem at scale with a novel decomposition heuristic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
- 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.
- Martin W.P Savelsbergh & Marlin W. Ulmer, 2022. "Challenges and opportunities in crowdsourced delivery planning and operations," 4OR, Springer, vol. 20(1), pages 1-21, March.
- Wang, Yi-Jia & Wang, Yue & Huang, George Q. & Lin, Ciyun, 2024. "Public acceptance of crowdsourced delivery from a customer perspective," European Journal of Operational Research, Elsevier, vol. 317(3), pages 793-805.
- He, Shan & Dai, Ying & Ma, Zu-Jun, 2023. "To offer or not to offer? The optimal value-insured strategy for crowdsourced delivery platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
- Wang, Haibo & Alidaee, Bahram, 2023. "White-glove service delivery: A quantitative analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
- Jiang, Dapei & Li, Xiangyong & Yang, Wei & Zhao, Yuxuan, 2026. "An integrated optimization approach for e-order fulfillment using self-owned and crowdsourced delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
- Li, Qilong & Xiao, Haohan & Xu, Min & Qu, Ting, 2024. "Investigating the impact of late deliveries on the operations of the crowd-shipping platform: A mean-variance analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
- Rossolov, Oleksandr & Susilo, Yusak O., 2024. "Are consumers ready to pay extra for crowd-shipping e-groceries and why? A hybrid choice analysis for developing economies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
- Zhang, Huili & Luo, Kelin & Xu, Yao & Xu, Yinfeng & Tong, Weitian, 2022. "Online crowdsourced truck delivery using historical information," European Journal of Operational Research, Elsevier, vol. 301(2), pages 486-501.
- Nils Boysen & Stefan Fedtke & Stefan Schwerdfeger, 2021. "Last-mile delivery concepts: a survey from an operational research perspective," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 1-58, March.
- Mancini, Simona & Gansterer, Margaretha, 2022. "Bundle generation for last-mile delivery with occasional drivers," Omega, Elsevier, vol. 108(C).
- Pourrahmani, Elham & Jaller, Miguel, 2021. "Crowdshipping in last mile deliveries: Operational challenges and research opportunities," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
- Hou, Ting & Zhang, Wen, 2021. "Optimal two-stage elimination contests for crowdsourcing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
- Guo, Jiantao & Deng, Lan & Gong, Baichuan, 2024. "An online auction-based mechanism for pricing and allocation of instant delivery services," Transportation Research Part B: Methodological, Elsevier, vol. 190(C).
- Xiao, Haohan & Xu, Min & Wang, Shuaian, 2023. "A game-theoretic model for crowd-shipping operations with profit improvement strategies," International Journal of Production Economics, Elsevier, vol. 262(C).
- Shanyong Wang & Shiqiang Li & Haonan He & Qi Zhou, 2025. "Flexible supply-demand matching mechanism for C2B crowdsourcing logistics platforms with heterogeneous environment-inclined merchants," Annals of Operations Research, Springer, vol. 355(2), pages 1457-1481, December.
- Ghaderi, Hadi & Zhang, Lele & Tsai, Pei-Wei & Woo, Jihoon, 2022. "Crowdsourced last-mile delivery with parcel lockers," International Journal of Production Economics, Elsevier, vol. 251(C).
- Xiao, Haohan & Xu, Min & Wang, Shuaian, 2023. "Crowd-shipping as a Service: Game-based operating strategy design and analysis," Transportation Research Part B: Methodological, Elsevier, vol. 176(C).
- Rossolov, Oleksandr & Botsman, Anastasiia & Lyfenko, Serhii & Susilo, Yusak O., 2026. "Gender heterogeneity in couriers' mode choice behaviours: Crowd-shipping for E-groceries," Journal of Transport Geography, Elsevier, vol. 130(C).
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:178:y:2023:i:c:s1366554523002776. 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.
Printed from https://ideas.repec.org/a/eee/transe/v178y2023ics1366554523002776.html