Towards Data-Driven on-Demand Transport
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00322142" target="_blank" >RIV/68407700:21230/18:00322142 - isvavai.cz</a>
Result on the web
<a href="http://eudl.eu/doi/10.4108/eai.27-6-2018.154835" target="_blank" >http://eudl.eu/doi/10.4108/eai.27-6-2018.154835</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4108/eai.27-6-2018.154835" target="_blank" >10.4108/eai.27-6-2018.154835</a>
Alternative languages
Result language
angličtina
Original language name
Towards Data-Driven on-Demand Transport
Original language description
On-demand transport has been disrupted by Uber and other providers, which are challenging the traditional approach adopted by taxi services. Instead of using fixed passenger pricing and driver payments, there is now the possibility of adaptation to changes in demand and supply. Properly designed, this new approach can lead to desirable tradeoffs between passenger prices, individual driver profits and provider revenue. However, pricing and allocations known as mechanisms are challenging problems falling in the intersection of economics and computer science. In this paper, we develop a general framework to classify mechanisms in ondemand transport. Moreover, we show that data is key to optimizing each mechanism and analyze a dataset provided by a real-world on-demand transport provider. This analysis provides valuable new insights into efficient pricing and allocation in on-demand transport.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TE01020155" target="_blank" >TE01020155: Transport systems development centre</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
EAI Endorsed Transaction on Industrial Networks and Intelligent Systems
ISSN
2410-0218
e-ISSN
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Volume of the periodical
5
Issue of the periodical within the volume
14
Country of publishing house
VN - VIET NAM
Number of pages
10
Pages from-to
1-10
UT code for WoS article
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EID of the result in the Scopus database
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