TITLE:
Public Transit Performance Evaluation Using Data Envelopment Analysis and Possibilities of Enhancement
AUTHORS:
Sunil Sujakhu, Wenquan Li
KEYWORDS:
Public Transit System, Data Envelopment Analysis, Performance Evalua-tion, Partial Least Squares Regression
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.10 No.2,
February
28,
2020
ABSTRACT: This study evaluates the operational performance of all routes of Sajha
Bus Yatayat operating inside Kathmandu valley using Data Envelopment Analysis
(DEA) in terms of efficiency and effectiveness score. This approach allows us
to access the relative performance of transit system in absence of historical
data and research to compare with. To explore the possibility of enhancing the
performance, scenarios were created for relatively underperforming routes and
long route problem by changing the most important input variable and output
variables accordingly with regression model where it was relevant. Partial
Least Squares (PLS) regression was used to determine the most influential input
variables to the output variables. DEA was conducted to access the performance
of all routes under these scenarios. Underperforming
routes except the longest route under the first set of scenarios, emerge to be
better performing efficiently without considerable negative deviation in
effectiveness. The result of second set of scenarios for long route problem
suggests that the longest route’s performance can be enhanced significantly upon
proper route alignment. Scenarios development and evaluation can help lead
transit companies to explore the strategies to facilitate operational performance
enhancement.