2014
DOI: 10.1016/j.retrec.2014.09.035
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Measuring and improving the efficiency and effectiveness of bus public transport systems

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Cited by 50 publications
(28 citation statements)
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“…Hawas et al [4] used DEA to measure and analyze efficiency and effectiveness of Al Ain public bus service concluding that reducing operating hours have very less impact upon current efficiency and effectiveness measure that may help authorities to cut the operating cost. Georgiadis et al [8] used DEA to evaluate the performance of individual bus lines composing the public transport network in Thessaloniki, Greece and concluded that efficiency of local bus lines is slightly better than operational effectiveness without indicating a clear positive or negative relationship between the two performance components. Several researches used more complex and advanced DEA methods such as Super Efficiency Data Envelopment Analysis(SEDEA) [9], Robust SEDEA [10], Combined Efficiency Method (CEM) [11], analytic hierarchy process (AHP) with DEA [12] etc.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Hawas et al [4] used DEA to measure and analyze efficiency and effectiveness of Al Ain public bus service concluding that reducing operating hours have very less impact upon current efficiency and effectiveness measure that may help authorities to cut the operating cost. Georgiadis et al [8] used DEA to evaluate the performance of individual bus lines composing the public transport network in Thessaloniki, Greece and concluded that efficiency of local bus lines is slightly better than operational effectiveness without indicating a clear positive or negative relationship between the two performance components. Several researches used more complex and advanced DEA methods such as Super Efficiency Data Envelopment Analysis(SEDEA) [9], Robust SEDEA [10], Combined Efficiency Method (CEM) [11], analytic hierarchy process (AHP) with DEA [12] etc.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Areas where residents heavily depend on the transit system often lack sufficient funding on transit [12]. Improving the equity of public transit service is important to urban livability [13]. Early studies used resident population data as the main reference in public transit service resource allocation, generally neglecting the fact that the frequency of using public transit systems differs among groups and areas [14].…”
Section: Mismatch Between Public Transit Services and Regular Transitmentioning
confidence: 99%
“…Stochastic Frontier Analysis (SFA) (e.g., Cambini et al, 2007;Lin et al, 2010;Sakai and Shoji, 2010;Holmgren, 2013;Jarboui et al, 2013;Ayadi, and Hammami, 2015) and Data Envelopment Analysis (DEA) (e.g., Viton, 1997;Cowie and Asenova, 1999;Pina and Torres, 2001;Boame, 2004;Karlaftis, 2004;Odek, 2008;Chiu et al, 2011;Caulfield et al, 2013;Georgiadis et al 2014;Zheng et al, 2014).…”
Section: Merkert Mulley and Hakimmentioning
confidence: 99%
“…To account for the variable returns to scale (VRS) the term ( I1' 1   ), is added as an additional convexity constraint which ensures that inefficient or in our case ineffective firms are only benchmarked against firms of a similar size. While it could be argued that the output oriented model would be preferable as it assumes that BRT operators can influence outputs more effectively than inputs (as modifying the one-off infrastructure capital cost of BRT infrastructure is difficult in the short to medium run), this paper follows the majority of extant studies that have applied DEA in the PT context (e.g., Georgiadis et al, 2014) and adopts an input-oriented framework. The justification is that BRT outputs are often heavily impacted by endogenous factors or substantially regulated or pre-specified by the procuring authorities (e.g.…”
Section: Specification Of the First Stage Dea Modellingmentioning
confidence: 99%