Efficiency analysis of public transportation subunits using DEA and Bootstrap approaches--Dakar Dem Dikk case study

Oumar Sow*, Amar Oukil, Babacar M. NDIAYE, Aboubacar MARCOS

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Transportation is a sector which plays an important role in the process of development of states around the world. A crucial step in the transportation planning process is the measure of the efficiency of transportation systems in order to guarantee the desired service. This paper investigates the relative efficiencies of lines of the main public transportation company \Dakar Dem Dikk (DDD)} in Dakar (Senegal). The objective is to apply Data Envelopment Analysis (DEA) and bootstrapping in order to identify opportunities for improvement.
In this study, we examine technical efficiency for the 24 lines of DDD using constant returns to scale (CRS) and variable returns to scale (VRS) DEA output oriented models. We apply bootstrap approach for bias correction and for confidence intervals creation of our estimates. Finally, we examine the returns to scale characterization of lines. The paper shows that there exist possibilities for improvement for the lines, therefore for the company. It was also shown that there are potential for restructure for some lines.
Original languageEnglish
JournalJournal of Mathematics Research
Publication statusPublished - 2016

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