Evaluating transit operator efficiency: An enhanced DEA model with constrained fuzzy-AHP cones

This study addresses efforts to comb the Analytic Hierarchy Process (AHP) with Data Envelopment Analysis (DEA) to deliver a robust enhanced DEA model for transit operator efficiency assessment. The proposed model is designed to better capture inherent preferences information over input and output in...

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Main Authors: Xin Li, Yue Liu, Yaojun Wang, Zhigang Gao
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2016-06-01
Series:Journal of Traffic and Transportation Engineering (English ed. Online)
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095756416301052
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author Xin Li
Yue Liu
Yaojun Wang
Zhigang Gao
author_facet Xin Li
Yue Liu
Yaojun Wang
Zhigang Gao
author_sort Xin Li
collection DOAJ
description This study addresses efforts to comb the Analytic Hierarchy Process (AHP) with Data Envelopment Analysis (DEA) to deliver a robust enhanced DEA model for transit operator efficiency assessment. The proposed model is designed to better capture inherent preferences information over input and output indicators by adding constraint cones to the conventional DEA model. A revised fuzzy-AHP model is employed to generate cones, where the proposed model features the integration of the fuzzy logic with a hierarchical AHP structure to: 1) normalize the scales of different evaluation indicators, 2) construct the matrix of pair-wise comparisons with fuzzy set, and 3) optimize the weight of each criterion with a non-linear programming model. With introduction of cone-based constraints, the new system offers accounting advantages in the interaction among indicators when evaluating the performance of transit operators. To illustrate the applicability of the proposed approach, a real case in Nanjing City, the capital of China's Jiangsu Province, has been selected to assess the efficiencies of seven bus companies based on 2009 and 2010 datasets. A comparison between conventional DEA and enhanced DEA was also conducted to clarify the new system's superiority. Results reveal that the proposed model is more applicable in evaluating transit operator's efficiency thus encouraging a boarder range of applications.
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spelling doaj.art-91ef03f8eb4444558856768cc85543b62022-12-21T22:23:24ZengKeAi Communications Co., Ltd.Journal of Traffic and Transportation Engineering (English ed. Online)2095-75642016-06-013321522510.1016/j.jtte.2016.05.004Evaluating transit operator efficiency: An enhanced DEA model with constrained fuzzy-AHP conesXin Li0Yue Liu1Yaojun Wang2Zhigang Gao3Department of Civil and Environmental Engineering, University of Wisconsin at Milwaukee, Milwaukee, WI 53211, USADepartment of Civil and Environmental Engineering, University of Wisconsin at Milwaukee, Milwaukee, WI 53211, USADepartment of Civil and Environmental Engineering, University of Wisconsin at Milwaukee, Milwaukee, WI 53211, USAChongqing Urban Transport Planning and Research Institute, Chongqing 400020, ChinaThis study addresses efforts to comb the Analytic Hierarchy Process (AHP) with Data Envelopment Analysis (DEA) to deliver a robust enhanced DEA model for transit operator efficiency assessment. The proposed model is designed to better capture inherent preferences information over input and output indicators by adding constraint cones to the conventional DEA model. A revised fuzzy-AHP model is employed to generate cones, where the proposed model features the integration of the fuzzy logic with a hierarchical AHP structure to: 1) normalize the scales of different evaluation indicators, 2) construct the matrix of pair-wise comparisons with fuzzy set, and 3) optimize the weight of each criterion with a non-linear programming model. With introduction of cone-based constraints, the new system offers accounting advantages in the interaction among indicators when evaluating the performance of transit operators. To illustrate the applicability of the proposed approach, a real case in Nanjing City, the capital of China's Jiangsu Province, has been selected to assess the efficiencies of seven bus companies based on 2009 and 2010 datasets. A comparison between conventional DEA and enhanced DEA was also conducted to clarify the new system's superiority. Results reveal that the proposed model is more applicable in evaluating transit operator's efficiency thus encouraging a boarder range of applications.http://www.sciencedirect.com/science/article/pii/S2095756416301052Transit operatorEfficiencyDEAConstrained coneFuzzy-AHP
spellingShingle Xin Li
Yue Liu
Yaojun Wang
Zhigang Gao
Evaluating transit operator efficiency: An enhanced DEA model with constrained fuzzy-AHP cones
Journal of Traffic and Transportation Engineering (English ed. Online)
Transit operator
Efficiency
DEA
Constrained cone
Fuzzy-AHP
title Evaluating transit operator efficiency: An enhanced DEA model with constrained fuzzy-AHP cones
title_full Evaluating transit operator efficiency: An enhanced DEA model with constrained fuzzy-AHP cones
title_fullStr Evaluating transit operator efficiency: An enhanced DEA model with constrained fuzzy-AHP cones
title_full_unstemmed Evaluating transit operator efficiency: An enhanced DEA model with constrained fuzzy-AHP cones
title_short Evaluating transit operator efficiency: An enhanced DEA model with constrained fuzzy-AHP cones
title_sort evaluating transit operator efficiency an enhanced dea model with constrained fuzzy ahp cones
topic Transit operator
Efficiency
DEA
Constrained cone
Fuzzy-AHP
url http://www.sciencedirect.com/science/article/pii/S2095756416301052
work_keys_str_mv AT xinli evaluatingtransitoperatorefficiencyanenhanceddeamodelwithconstrainedfuzzyahpcones
AT yueliu evaluatingtransitoperatorefficiencyanenhanceddeamodelwithconstrainedfuzzyahpcones
AT yaojunwang evaluatingtransitoperatorefficiencyanenhanceddeamodelwithconstrainedfuzzyahpcones
AT zhiganggao evaluatingtransitoperatorefficiencyanenhanceddeamodelwithconstrainedfuzzyahpcones