Analyzing the characteristics of potential last-mile crowdshippers: insights from survey data in Slovenia, Ukraine, and the Czech Republic

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F25%3A39922802" target="_blank" >RIV/00216275:25510/25:39922802 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1016/j.trpro.2025.02.003" target="_blank" >https://doi.org/10.1016/j.trpro.2025.02.003</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.trpro.2025.02.003" target="_blank" >10.1016/j.trpro.2025.02.003</a>

Result language

angličtina

Original language name

Analyzing the characteristics of potential last-mile crowdshippers: insights from survey data in Slovenia, Ukraine, and the Czech Republic

Original language description

Crowdshipping, regarded as a promising last-mile delivery solution, especially in urban settings, differs from traditional delivery methods by relying on a critical mass of volunteers known as crowdshippers. Understanding their characteristics is crucial for effective targeting. This study seeks to analyze the willingness of potential crowdshippers to deliver/pick up ordered items (parcels) and sociodemographic characteristics influencing the willingness to work (WTW) as a crowdshipper in three different countries (Slovenia, the Czech Republic, and Ukraine). The primary sociodemographic data are investigated using survey data. Utility functions for decision-making in crowdshipping delivery are derived from questionnaire data processing and a discrete hierarchical Bayesian multimodal logit model was utilized to discern variations among the countries. By examining the unique sociodemographic features of potential crowdshippers in these countries, this study not only uncovers the traits of potential crowdshippers in each country but also points out the differences or similarities among the three different countries. The resulting data enables parcel delivery companies in each country to comprehend better which population groups are potentially more inclined to undertake this job

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

50200 - Economics and Business

Project

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Continuities

R - Projekt Ramcoveho programu EK

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Transportation Research Procedia

ISBN

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ISSN

2352-1457

e-ISSN

2352-1465

Number of pages

10

Pages from-to

1-10

Publisher name

Elsevier B.V.

Place of publication

Amsterdam

Event location

Portorož

Event date

May 20, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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