A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The effect of trust on the choice for crowdshipping services
Highlights We study the notion of trust as a major predictor of crowdshipping adoption. The impact of trust is measured as a latent variable in a service choice context. A Hybrid Choice Model allows us to estimate direct, indirect and total effects of choice attributes. Trust largely has a partially mediating effect and has a fully mediating effect for reputation and damage.
Abstract The fast growth of e-commerce in urban areas has led to a surge in last-mile transportation demand and an associated increase of external effects: congestion, noise and visual pollution. This paper analyses a new urban freight transport service that has a potential to reduce this footprint: crowdshipping. Crowdshipping is a service where a package is delivered via a traveller who is already making a personal trip for other purposes. The decision of whether or not to use crowdshipping is known to be subject to various service, time and price conditions, including trust in a correct delivery. The effect of trust has not been investigated explicitly, however. We conduct a stated choice experiment and estimate a hybrid choice model with trust as a situation-specific latent variable. The research design allows us to explore how the relevant attributes influence service adoption via trust. We find a significant influence of established choice attributes on service adoption, except for the delivery company’s reputation and the possibility of damage. In addition, all attributes except delivery time have a significant influence on trust. We conclude that trust has a partially mediating effect on the adoption of the service except delivery time, and a fully mediating effect on adoption via reputation and damage.
The effect of trust on the choice for crowdshipping services
Highlights We study the notion of trust as a major predictor of crowdshipping adoption. The impact of trust is measured as a latent variable in a service choice context. A Hybrid Choice Model allows us to estimate direct, indirect and total effects of choice attributes. Trust largely has a partially mediating effect and has a fully mediating effect for reputation and damage.
Abstract The fast growth of e-commerce in urban areas has led to a surge in last-mile transportation demand and an associated increase of external effects: congestion, noise and visual pollution. This paper analyses a new urban freight transport service that has a potential to reduce this footprint: crowdshipping. Crowdshipping is a service where a package is delivered via a traveller who is already making a personal trip for other purposes. The decision of whether or not to use crowdshipping is known to be subject to various service, time and price conditions, including trust in a correct delivery. The effect of trust has not been investigated explicitly, however. We conduct a stated choice experiment and estimate a hybrid choice model with trust as a situation-specific latent variable. The research design allows us to explore how the relevant attributes influence service adoption via trust. We find a significant influence of established choice attributes on service adoption, except for the delivery company’s reputation and the possibility of damage. In addition, all attributes except delivery time have a significant influence on trust. We conclude that trust has a partially mediating effect on the adoption of the service except delivery time, and a fully mediating effect on adoption via reputation and damage.
The effect of trust on the choice for crowdshipping services
Cebeci, Merve Seher (author) / Tapia, Rodrigo Javier (author) / Kroesen, Maarten (author) / de Bok, Michiel (author) / Tavasszy, Lóránt (author)
2023-01-01
Article (Journal)
Electronic Resource
English
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