The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/614eb537-ff5c-48e9-867d-0b7855a15951

Cebeci, Merve Seher; Tapia, Rodrigo Javier; Najafabadi, Ali Nadi; de Bok, Michiel; Tavasszy, L.A. (Lori) (2023): Data underlying the research: Does Crowdshipping of Parcels Generate New Passenger Trips? Evidence from the Netherlands. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/614eb537-ff5c-48e9-867d-0b7855a15951.v1

Dataset

• Other Transport
• Transport

activity based models, crowdshipping, discrete choice models, passenger trip generation, value of time

CC BY-NC-SA 4.0

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by Merve Seher Cebeci, Rodrigo Javier Tapia, Ali Nadi Najafabadi, Michiel de Bok, L.A. (Lori) Tavasszy

Stated preference data for analysing willingness to become an occasional carrier in crowdshipping service. With this research, it is aimed to investigate the willingness of travelers to execute crowdshipping deliveries in a crowdshipping system with complementary parcel lockers. We explicitly consider crowdshipping deliveries during planned commute trips as newly generated delivery trips. Additionally, we aim to investigate the heterogeneity in preferences amongst those who might become occasional carriers. An online survey was designed to collect the data and discrete choice models are used to analyse the choice data.

• 2023-03-23 first online, published, posted

4TU.ResearchData

*.csv

• European Union’s Horizon 2020 research and innovation program (grant code under grant agreement No 861598) (grant code 861598)

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning