Performance Benchmarking in Public Transport Sector. The Data Envelopment Analysis (DEA) method

Andreas Davidek

ISBN 10: 3668583196 / ISBN 13: 9783668583191

Published by GRIN Verlag, 2017

About this Item

Performance Benchmarking in Public Transport Sector. The Data Envelopment Analysis (DEA) method | Andreas Davidek | Taschenbuch | 28 S. | Englisch | 2017 | GRIN Verlag | EAN 9783668583191 | Verantwortliche Person für die EU: GRIN Publishing GmbH, Waltherstr. 23, 80337 München, info[at]grin[dot]com | Anbieter: preigu.

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Bibliographic Details

• Title: Performance Benchmarking in Public Transport Sector. The Data Envelopment Analysis (DEA) method
• Publisher: GRIN Verlag
• Publication Date: 2017
• Language: English
• ISBN 10: 3668583196
• ISBN 13: 9783668583191
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 3D millimeters 210 millimeters width by 148 millimeters height by 3 millimeters depth
• Weight: 56 grams
• Seller catalogs:
  • Bücher

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Synopsis

Seminar paper from the year 2015 in the subject Business economics - Controlling, grade: 1,3, course: Performance Benchmarking and Operations Research, language: English, abstract: The non-parametric approach is a common method for measuring the relative efficiency in the area of performance benchmarking and operations research. This approach does not require the a priori specification of a function. The estimation of the frontier of the production set only requires that the production set satisfies some properties, such as input and output factors. The Data Envelopment Analysis (DEA) method is a non-parametric approach that uses mathematical programming to esti-mate production frontiers and calculus efficiency scores. The above technical explanation is necessary, as the present seminar paper deals with the application of the DEA approach in the field of the public transport. The objective of this paper is to review the state of the art in performance benchmarking in terms of different DEA-based framework and criteria to measure efficiency in the environments of public transport. To contribute to this goal, the ambition is to provide a systematic analysis of the performance criteria of the DEA models. Consequently, the main focus of this paper is to examine and classify the performance criteria.