Comparing the Performance of Bus Routes after Adjusting for the Environment Using Data Envelopment Analysis

Barnum, Darold T.; Tandon, Sonali; McNeil, Sue

doi:10.1061/(asce)0733-947x(2008)134:2(77)

Cited by 53 publications

(29 citation statements)

References 39 publications

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“…It should also be noted that no exogenous or environmental factors (factors that are not under management control) have been considered in this study. It is worth noting that some of the literature considered exogenous variables (e.g., Barnum et al 2007Barnum et al , 2008. These exogenous variables were used to "adjust" the values of some of the output variables to the DEA model-for instance, the use of population and route characteristics variables to adjust "ridership" using a regression model (Barnum et al 2008).…”

Section: Resultsmentioning

confidence: 99%

“…It is worth noting that some of the literature considered exogenous variables (e.g., Barnum et al 2007Barnum et al , 2008. These exogenous variables were used to "adjust" the values of some of the output variables to the DEA model-for instance, the use of population and route characteristics variables to adjust "ridership" using a regression model (Barnum et al 2008). It is true that the presented models did not account for exogenous variables, which may be regarded as a limitation, but, nonetheless, it is believed that the selected input and output variables were collected accurately, and, as such, the obtained efficiency measures are reasonably accurate.…”

Section: Resultsmentioning

confidence: 99%

“…Chu et al (1992) developed a single index for measuring service efficiency as well as service effectiveness of public transit agencies using DEA. Barnum et al (2008) evaluated the performances of 46 bus routes of U.S. transit systems using the DEA method.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating and Enhancing the Operational Performance of Public Bus Systems Using GIS-based Data Envelopment Analysis

Hawas¹,

Khan²,

Basu³

2012

JPT

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating and Enhancing the Operational Performance of Public Bus Systems Using GIS-based Data Envelopment Analysis

Hawas¹,

Khan²,

Basu³

2012

JPT

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show abstract

“…Of all the studies considered here, only in two do population variables appear as inputs or outputs [39,43], and in a third study, the variable is used as exogenous, but without a significant result [32]. Finally, in two other studies, the variable acted in favor of efficiency in one [44] and against efficiency in the other [36]. Thus, clear conclusions cannot be drawn with respect to this type of variable.…”

Section: The Influence Of Exogenous Variables On Slacksmentioning

confidence: 93%

Analysis of the Technical Efficiency of Urban Bus Services in Spain Based on SBM Models

Jordá

Jiménez

Monzón

2012

ISRN Civil Engineering

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During the first decade of the new millennium, fueled by the economic development in Spain, urban bus services were extended. Since the years 2008 and 2009, the root of the economic crisis, the improvement of these services is at risk due to economic problems. In this paper, the technical efficiency of the main urban bus companies in Spain during the 2004-2009 period are studied using SBM (slack-based measures) models and by establishing the slacks in the services' production inputs. The influence of a series of exogenous variables on the operation of the different services is also analyzed. It is concluded that only the 24% of the case studies are efficient, and some urban form variables can explain part of the inefficiency. The methodology used allows studying the inefficiency in a disaggregated way that other DEA (data envelopment analysis) models do not.

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“…We suggest that far more investigation take place examining the ways in which HBCUs differ, emphasizing perhaps successful organizational structures at effi cient institutions. Less effi cient educational institutions might learn from those with higher effi ciency scores, as has been true for other fi elds ( Cooper et al , 2004 ;Barnum et al , 2008 ;Schumock et al , 2009 ;Welch and Barnum, 2009 ).…”

Section: Implications For Hbcu Managementmentioning

confidence: 98%

HBCU efficiency and endowments: An exploratory analysis

Coupet

Barnum

2010

Int J Educ Adv

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Discussions of effi ciency among Historically Black Colleges andUniversities (HBCUs) are often missing in academic conversations. This article seeks to assess effi ciency of individual HBCUs using Data Envelopment Analysis (DEA), a non-parametric technique that can synthesize multiple inputs and outputs to determine a single effi ciency score for each institution. The authors hypothesized that institutions with higher endowments will have higher effi ciency scores due to an increased ability to acquire more productive capital. To test this hypothesis, effi ciency scores were regressed on endowments and HBCU status, with control variables denoting if institutions are public or religiously affi liated. From DEA, we found that HBCUs were on average slightly more effi cient that Predominantly White Institutions. Endowment levels were found to be signifi cant determinants of effi ciency for both sets of institutions. This suggests (1) that the general perception of HBCUs as ineffi cient requires reconsideration and (2) that schools with the most endowment resources are generally more effi cient. Less effi cient HBCUs should perhaps devote resources to building endowment levels to increase effi ciency. We can also see the importance of methodologies allowing for investigation of both differences among HBCUs and differences in operational contexts among HBCUs and other schools.

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Comparing the Performance of Bus Routes after Adjusting for the Environment Using Data Envelopment Analysis

Cited by 53 publications

References 39 publications

Evaluating and Enhancing the Operational Performance of Public Bus Systems Using GIS-based Data Envelopment Analysis

Evaluating and Enhancing the Operational Performance of Public Bus Systems Using GIS-based Data Envelopment Analysis

Analysis of the Technical Efficiency of Urban Bus Services in Spain Based on SBM Models

HBCU efficiency and endowments: An exploratory analysis

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