The hitchhiker's guide to the galaxy of dynamic ridesharing

Bonazzi, Riccardo (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Pigneur, Yves (University of Lausanne, Switzerland)

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.


Mots-clés:
Type de conférence:
full paper
Ecole:
HEG VS HES-SO Valais-Wallis - Haute Ecole de Gestion & Tourisme
Institut:
Institut Entrepreneuriat & Management
Classification:
Économie/gestion
Adresse bibliogr.:
Kauai, Hawaii, 5-8 January 2015
Date:
Kauai, Hawaii
5-8 January 2015
2015
Pagination:
10 p.
Titre du document hôte:
Proceedings of the 48th Hawaii International Conference on System Sciences (HICSS) 2015
DOI:
ISSN:
978-1-4799-7367-5
Le document apparaît dans:

Note  Le statut de ce document est: non diffusé

Note: The status of this file is: restricted


 Notice créée le 2015-11-18, modifiée le 2017-12-07

Fichiers:
Télécharger le document
PDF

Évaluer ce document:

Rate this document:
1
2
3
 
(Pas encore évalué)