Matching drivers and transportation requests in crowdsourced delivery systems

David Soto Setzke, Maximilian Schreieck, Manuel Wiesche, Christoph Pflügler, Sven Fröhlich, Helmut Krcmar

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

5 Zitate (Scopus)

Abstract

While the sales volume of e-commerce transactions is growing rapidly, the traditional concept of packages delivery has been challenged by innovative approaches such as crowdsourced delivery. Using individuals, for example commuters, to deliver packages from senders to receivers can provide several economic and environmental benefits. This paper illustrates an algorithm that automates and optimizes the assignment of drivers to transportation requests by matching them based on transportation routes and time constraints. We evaluated our algorithm by using a simulated setting based on mobility data recorded in a major German city. This paper contributes to theory by giving guidance for future research on matching algorithms for crowdsourced delivery systems and to practice by illustrating an algorithm that can be adapted by existing and new crowdsourced delivery platforms.

OriginalspracheEnglisch
TitelAMCIS 2017 - America's Conference on Information Systems
UntertitelA Tradition of Innovation
Herausgeber (Verlag)Americas Conference on Information Systems
ISBN (elektronisch)9780996683142
PublikationsstatusVeröffentlicht - 2017
Extern publiziertJa
VeranstaltungAmerica�s Conference on Information Systems: A Tradition of Innovation, AMCIS 2017 - Boston, USA/Vereinigte Staaten
Dauer: 10 Aug. 201712 Aug. 2017

Publikationsreihe

NameAMCIS 2017 - America's Conference on Information Systems: A Tradition of Innovation
Band2017-August

Konferenz

KonferenzAmerica�s Conference on Information Systems: A Tradition of Innovation, AMCIS 2017
Land/GebietUSA/Vereinigte Staaten
OrtBoston
Zeitraum10/08/1712/08/17

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