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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/18349
Title: DEA in the Transport Sector, Chapter 16, Part Ⅱ: Advances in DEA Theory and Applications: With Extensions to Forecasting Models
Authors: Ming-Miin Yu 
Li-Hsueh Chen
Issue Date: May-2017
Publisher: John Wiley & Sons, Ltd.
Abstract: 
The evaluation of operational performance has become a critical indicator for the management of transport services. Data envelopment analysis (DEA) is considered to be one of the best approaches for organizing and analysing data. In order to reflect the actual situation that the operation of a transport organization involves multiple processes and activities, and is not independent between periods, various DEA models have been developed to assess the operational performance of transport organizations. This chapter is dedicated to illustrating a network and dynamic structure with undesirable outputs by use of dynamic network DEA (DNDEA) and multi-activity DNDEA models. This chapter also provides an application to bus transit firms to investigate the applicability of a multiprocess, multiperiod and multi-activity framework.
URI: http://scholars.ntou.edu.tw/handle/123456789/18349
DOI: 10.1002/9781118946688.ch16
Appears in Collections:運輸科學系

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