Print Email Facebook Twitter Crowdshipping as a delivery solution for outlier parcels Title Crowdshipping as a delivery solution for outlier parcels: A case study in The Hague Author Tang, Keying (TU Delft Civil Engineering & Geosciences; Transport, Infrastructure and Logistics) Contributor Correia, Gonçalo (graduation committee) de Bok, M.A. (mentor) Cebeci, M.S. (mentor) van Duin, Ron (graduation committee) Degree granting institution Delft University of Technology Programme Transport, Infrastructure and Logistics Date 2024-03-25 Abstract The increasing parcel demand is resulting in increasing traffic congestion and emission problems in urban freight system. Crowdshipping service is an innovative logistics solution which envisions using the excess capacity in existing passenger transport to perform the delivery tasks. However, it may bring extra vehicle kilometres travelled due to detours and new trips generated. To address this challenge, most studies focus on designing and evaluating the crowdshipping service for all parcel demand, while one study points out the potentially larger benefits of crowdshipping service for outlier parcels. Therefore, this study aims to investigate the transport impacts of crowdshipping service for outlier parcels, which are defined as the parcels with high environmental impacts. A case study is conducted in The Hague. First, the parcel carbon footprint is calculated to segregate the outlier parcels. Then, a public transport-based crowdshipping delivery scenario is proposed, with parcel lockers at train stations as the transfer points and train travellers as the potential occasional couriers. The simulation results show that outsourcing the outlier parcels to crowdshipping service is beneficial to the transport system and prioritising outlier parcels of logistics service providers with low market shares can achieve more savings in transport and higher service efficiency. Subject Last-mile deliveryCrowdshippingsimulationCase studyCity LogisticsParcel Locker To reference this document use: http://resolver.tudelft.nl/uuid:f3183aaa-0f96-419a-ae6e-78f9f860e41d Part of collection Student theses Document type master thesis Rights © 2024 Keying Tang Files PDF Thesis_Keying_Tang_Crowds ... arcels.pdf 14.92 MB Close viewer /islandora/object/uuid:f3183aaa-0f96-419a-ae6e-78f9f860e41d/datastream/OBJ/view