The Hitchhiker's Guide to the Galaxy of Dynamic Ridesharing

Details

Serval ID
serval:BIB_59625918BB62
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
The Hitchhiker's Guide to the Galaxy of Dynamic Ridesharing
Title of the conference
Proc. Annual Hawaii International Conference on System Sciences (HICSS)
Author(s)
Bonazzi R., Pigneur Y.
Publisher
IEEE Computer Society
ISBN
978-1-4799-7367-5
ISSN
1530-1605
Publication state
Published
Issued date
01/2015
Language
english
Abstract
Dynamic ridesharing is a form of carpooling that allows anyone in a city to hitchhike a ride on short notice. Firms like Lyft and Uber have location-based applications for smartphones that are said to revolutionize this sector of transportation. Nonetheless, this mobile service is still in its infancy and there is a constellation of alternative solutions, with no reliable way to benchmark their diffusion across cities. We propose a method that treats dynamic ridesharing like a virus and (1) collects data from Google trends, as if it were a flu; (2) monitors its viral diffusion by implementing an epidemiological model; (3) infers strategic choices of a firm and represents them on a business model canvas. Our data analysis illustrates that (a) the Susceptible-Infected-Susceptible model performs better than the traditional S-shaped curve, and (b) our method allows us to estimate the evolution of new users and dropped users in every city.
Create date
05/07/2015 15:03
Last modification date
20/08/2019 14:12
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