Improving the route effectiveness of the intercity bus operators by co-optation: a data envelopment analysis
by V. Moovendhan; Githa Heggde; Shatakshi Agrawal; Moyuk Mukherjee
International Journal of Public Sector Performance Management (IJPSPM), Vol. 9, No. 3, 2022

Abstract: Indian private bus operators suffer from cyclical demand in weekly bookings. During the slack days, the entire passenger transport industry operates with loss or low margin. This research proposes a co-optation model to overcome the losses arising from the cyclical demand. This paper researches the comparative efficiency of pre and post co-optation scenarios among the Indian private bus operators. We assume reverse aggregation of less under booking schedules of operators of the same sector can be assigned to a single bus operator who has relatively higher booking than other operators. The co-optation model of reverse aggregation could enhance the efficiency of the industry. Though numerous studies have been done to measure the efficiency of operators, we focused our research on how the operator's co-optation could improve the efficiency of the industry. For this purpose, we analysed the daily trips data of Bangalore-Goa route of the Indian private public transport for a month. The comparative efficiency is measured using the DEA method.

Online publication date: Thu, 07-Apr-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Public Sector Performance Management (IJPSPM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com