Performance evaluation of bus routes: A provider and passenger perspective

Sheth, Chintan H.; Triantis, Konstantinos; Teodorović, Dušan

doi:10.1016/j.tre.2005.09.010

Cited by 121 publications

(60 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A corridor-level study was carried out by Mansha and Parida 17 , wherein performance of metro rail corridors and stations based on the DEA approach using basic CCR model was evaluated. Seth et al 18 evaluated the performance of bus routes based on goal programming and DEA. The data used in the study were artificially simulated for various input and output variables including environmental and societal variables, i.e.…”

Section: Literature Reviewmentioning

confidence: 99%

Comparative Evaluation of Bus Rapid Transit Routes Using Super Efficiency Data Envelopment Analysis

Kathuria¹,

Parida²,

Sekhar³

2017

Current Science

View full text Add to dashboard Cite

Periodical evaluation of the transit system and its subunits is becoming paramount for improving its performance. This article evaluates the performance of 12 routes of the bus rapid transit system operating in Ahmedabad, India. The performance indices considered in the study were divided into five major types of efficiency, viz. route design, scheduled design, cost, service delivery, and comfort and safety efficiency. Super efficiency data envelopment analysis was used to estimate efficiency scores for each type. Further, composite efficiency of routes was estimated based on analytical hierarchy process technique.Keywords: Analytical hierarchy process, bus rapid transit, data envelopment analysis, route performance. THE bus rapid transit system (BRTS) has now become an integral part of the urban transportation system in a number of cities in both developed and developing countries. Transit agencies are therefore trying to operate this system efficiently to increase the revenue for balancing the operating cost. The cities in which BRTS is in operation are still in the process of expanding the corridors of this system; therefore, limited research has been carried out to understand the performance of the already existing corridors and routes.According to the literature, the performance of a transit service can be measured at four levels, viz. bus stop, route, corridor and system 1 . The transit agencies are mainly concerned with evaluating the performance of the route as most of the variables affecting it are under their control. Various route performance attributes based on passenger, operator and community perspective have been studied and presented here.In the present study we evaluate the route performance of the entire network BRTS in Ahmedabad, India consisting of 12 routes. This evaluation was done using ITS, ticketing, landuse and user perception data. The selected parameters were consolidated to five efficiencies, viz. route design, scheduled design, cost, service delivery, and comfort and safety efficiency. To evaluate the performance of each route, a linear programming-based model, i.e. data envelopment analysis (DEA) was used. DEA is a nonparametric method in operations research which is used to measure productivity efficiency of decisionmaking units (DMUs) which in the present study are the BRTS routes. DEA was used in the present study as it is capable of handling multiple inputs, and outputs and also because the sources of the inefficiency can be analysed and quantified for every evaluated unit (BRTS route). To evaluate the performance of BRTS routes, two types of DEA models were used, viz. Charles, cooper and Rhodes (CCR) model based on constant return to scale and super efficiency data envelopment analysis (SEDEA) model. SEDEA is an improvement over the conventional DEA model as the unity constraint of efficiency is relaxed in this model; this allows the routes to achieve an efficiency score more than unity. This is important because by the conventional DEA model some routes achieve an efficiency ...

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Comparative Evaluation of Bus Rapid Transit Routes Using Super Efficiency Data Envelopment Analysis

Kathuria¹,

Parida²,

Sekhar³

2017

Current Science

View full text Add to dashboard Cite

show abstract

“…The importance of environmental factors is discussed also in Yu (2010) where a network DEA model is proposed to deal with both production and service efficiency in airports. Sheth et al (2007) apply network DEA models to the assessment of bus routes by expanding the Färe and Grosskopf (2000) approach to account for the different perspectives of operators and users, and for multiple goals. Hahn et al (2011) propose a network DEA model to assess the efficiency of Seoul arterial bus routes.…”

Section: Hospitality and Transportation Industriesmentioning

confidence: 99%

Network, Shared Flow and Multi-level DEA Models: A Critical Review

Castelli

Pesenti

2014

International Series in Operations Research &Amp; Management Science

View full text Add to dashboard Cite

In the last two decades, complex and detailed DEA models that consider the internal structure of DMUs have been proposed by several authors. This chapter describes the mathematical formulations, along with their main variants, extensions and applications, of three large and popular model families: network (with special emphasis on multi-stage), shared flow (also known as multi-component or multi-activity), and multi-level models. Each family is a different generalization of the same elementary internal structure. This review extends and updates the classification presented in Castelli et al. (Ann Oper Res 173(1):207–235, 2010)

show abstract

“…Among these studies, only Tadon (2006), Sheth et al (2007), Barnum et al (2008), Hahn et al(2009), andLao andLiu (2009) estimated efficiency of bus routes, and among these, only Sheth et al (2007) considered environmental aspects as undesirable output in their analysis. Also the work by Oh (2008) is unique in that it considered undesirable outputs in estimating the efficiency of bus companies.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Also the work by Oh (2008) is unique in that it considered undesirable outputs in estimating the efficiency of bus companies. Sheth et al (2007) applied the efficiency score estimated from the network DEA model to a goal programming method to derive the optimal level of undesirable outputs, but it fails to reflect the influence of the undesirable outputs on their efficiency estimates. In addition, they analyzed hypothetical data, making it difficult to apply their analysis to real-world polices.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the efficiency of Seoul Arterial Bus routes and its determinant factors

2011

View full text Add to dashboard Cite

In this study, we constructed a network Data Envelopment Analysis (DEA) model to improve the existing bus service evaluation system in other to achieve a more realistic result than previous studies by considering both the desirable and the undesirable outputs. Based on the model, we estimated the efficiency of the 113 Arterial Bus routes in the city of Seoul in the year of 2009. It is assumed that each Decision Making Unit (DMU) uses inputs such as possession and operating costs, the ratio of median bus stops, and overlapped route lengths to produce both desirable outputs such as total riders and service satisfaction scores as well as undesirable outputs such as CO 2 emissions. The analysis demonstrated that the model considering both the desirable and the undesirable outputs deduced more realistic results than its counterpart solely based on the desirable outputs. The bias and the confidence intervals of the efficiency estimates derived from the proposed DEA analysis are presented. The bootstrap method was employed to yield a dependent variable for the truncated regression model. The truncated regression analysis was conducted to analyze the determinant factors that influce the efficiency, which revealed that the possession costs and the ratio of median bus stops are ststistically significant factors.

show abstract

Performance evaluation of bus routes: A provider and passenger perspective

Cited by 121 publications

References 28 publications

Comparative Evaluation of Bus Rapid Transit Routes Using Super Efficiency Data Envelopment Analysis

Comparative Evaluation of Bus Rapid Transit Routes Using Super Efficiency Data Envelopment Analysis

Network, Shared Flow and Multi-level DEA Models: A Critical Review

Analysis of the efficiency of Seoul Arterial Bus routes and its determinant factors

Contact Info

Product

Resources

About