DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/11248
Title: Assessing the Radial Efficiency Performance of Bus Transport Sector Using Data Envelopment Analysis
Authors: Mathur, Trilok
Agarwal, Shivi
Keywords: Mathematics
Data Envelopment Analysis (DEA)
Radial Efficiency Performance
Issue Date: 2021
Publisher: CRC Press
Abstract: This study proposed an application of data envelopment analysis (DEA) to estimate the overall technical efficiency (OTE) for 52 bus depots of Rajasthan State Road Transport Corporation (RSRTC) for the financial year 2016–2017. The proposed study measures the efficiency and thoroughly explores the scope for optimal utilization of the input resources owned by depots of the RSRTC. The new slack model (NSM) of DEA is used as it calculates slacks for input and output variables. Also, this model satisfies the radial properties, unit invariance, and translation invariance. An input-oriented NSM model explicitly reduces input quantities (X) proportionally and renders no change in output level (Y). Four inputs have been considered, namely the number of buses, number of employees, total fuel consumption, and number of routes, and a single output, passenger kilometers occupied. The empirical results indicated that only 4 out of 52 depots are on the efficient frontier. All other depots possess the OTE value in the range of 0.7 to 1 relative to efficient depots. This study enables policy-makers to evaluate inputs for consistent output up to the optimum level and improve the performance of the inefficient depots.
URI: https://www.taylorfrancis.com/chapters/edit/10.1201/9781003138020-4/assessing-radial-efficiency-performance-bus-transport-sector-using-data-envelopment-analysis-swati-goyal-shivi-agarwal-trilok-mathur-nirbhay-mathur
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11248
Appears in Collections:Department of Mathematics

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.