DEA Methodology as a Tool for Determining the Efficiency of Public Transport in South Moravian Region
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F23%3A43924266" target="_blank" >RIV/62156489:43110/23:43924266 - isvavai.cz</a>
Result on the web
<a href="https://mme2023.vse.cz/mme_2023_proceedings.pdf" target="_blank" >https://mme2023.vse.cz/mme_2023_proceedings.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
DEA Methodology as a Tool for Determining the Efficiency of Public Transport in South Moravian Region
Original language description
This paper discusses the possibility to apply DEA methodology for determining the efficiency of public transport. There are 673 municipalities in the region connected by municipal and private transport companies in a unified mode. According to the latest data, transported passengers among region have increased from 118 to 828 million of passengers-kilometers during the period 2004-2019, while in the city of Brno from 344 to 403 million passengers. Along with the increase in the flow of passengers, the criteria for efficiency evaluation also changes. The aim of this contribution is to (i) identify the main evaluation criteria of transport efficiency for passengers based on a pilot survey in the region, (ii) identify a set of feasible transportation alternatives, and (iii) by using Data envelopment analysis (DEA), find an efficient transport design and discuss the suitability of the method for the transportation problem.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mathematical Methods in Economics 2023: Proceedings
ISBN
978-80-11-04132-8
ISSN
2788-3965
e-ISSN
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Number of pages
7
Pages from-to
92-98
Publisher name
Česká společnost pro operační výzkum, z. s.
Place of publication
Praha
Event location
Praha
Event date
Sep 13, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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