Print Email Facebook Twitter A disaggregate model of passenger-freight matching in crowdshipping services Title A disaggregate model of passenger-freight matching in crowdshipping services Author Tapia, R.J. (TU Delft Transport and Planning; Significance) Kourounioti, I. (Panteia) Thoen, Sebastian (Significance) de Bok, M.A. (TU Delft Transport and Planning; Significance) Tavasszy, Lorant (TU Delft Transport and Planning; TU Delft Transport and Logistics) Date 2023 Abstract Crowdshipping (CS) is an emerging form of freight transport that is expected to reduce the externalities of urban freight transport. The supply of CS services originates from people with an intention to travel, who can choose to engage in a parcel delivery service as incidental carrier. The popular expectation is that this consolidation of freight and passenger trips could save freight trips and thus alleviate urban transport congestion and environmental pollution. A key challenge in the prediction of CS service volumes and impacts, however, is to match existing service demand and supply. This has not yet been addressed in the literature with models that give an empirically realistic representation of individual decision-making. We approach this problem using a disaggregate activity-based models for urban passenger transport and freight transport. Allocation of parcels to travellers is done based on a simulated random utility discrete choice model. We present a first case study for the city of The Hague, The Netherlands, to illustrate empirically the model. Our findings suggest that CS could result in increased CO2 emissions and total vehicle distances travelled. Subject Urban freightCity logisticsCrowdshippingAgent based modellingPassenger & freight integration To reference this document use: http://resolver.tudelft.nl/uuid:82ecf9a9-b032-4143-ba1e-2f4e54207ef1 DOI https://doi.org/10.1016/j.tra.2023.103587 ISSN 0965-8564 Source Transportation Research. Part A: Policy & Practice, 169 Part of collection Institutional Repository Document type journal article Rights © 2023 R.J. Tapia, I. Kourounioti, Sebastian Thoen, M.A. de Bok, Lorant Tavasszy Files PDF 1_s2.0_S0965856423000071_main.pdf 4.87 MB Close viewer /islandora/object/uuid:82ecf9a9-b032-4143-ba1e-2f4e54207ef1/datastream/OBJ/view