Towards Data-Driven on-Demand Transport

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Towards Data-Driven on-Demand Transport

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Towards Data-Driven on-Demand Transport

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/TE01020155" target="_blank" >TE01020155: Centrum pro rozvoj dopravních systémů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

EAI Endorsed Transaction on Industrial Networks and Intelligent Systems

ISSN

2410-0218

e-ISSN

—

Svazek periodika

5

Číslo periodika v rámci svazku

14

Stát vydavatele periodika

VN - Vietnamská socialistická republika

Počet stran výsledku

10

Strana od-do

1-10

Kód UT WoS článku

—

EID výsledku v databázi Scopus

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