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

2017 ◽  
Vol 113 (07) ◽  
pp. 1408 ◽  
Author(s):  
Ankit Kathuria ◽  
M. Parida ◽  
Ravi Sekhar
Keyword(s):  
Data Envelopment Analysis ◽  
Comparative Evaluation ◽  
Bus Rapid Transit ◽  
Data Envelopment ◽  
Rapid Transit ◽  
Super Efficiency ◽  
Transit Routes ◽  
Efficiency Data

Efficiency Comparison in Chinese Construction Industry Based on Data Envelopment Analysis and Super Efficiency Data Envelopment Analysis

2013 ◽  
Vol 275-277 ◽  
pp. 2788-2792
Author(s):  
You Min Gao ◽  
Xiao Wen Wang
Keyword(s):  
Data Envelopment Analysis ◽  
Construction Industry ◽  
Empirical Analysis ◽  
National Economy ◽  
Statistical Data ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Efficiency Comparison ◽  
Efficiency Data

Construction industry is a main industry in national economy, Chinese construction industry has made huge achievement, but the developments between different provinces in China are imbalanced. To compare the different efficiencies between them, data envelopment analysis and an important extended means of DEA were introduced, compared and applied in empirical analysis of Chinese construction industry efficiency between different provinces based on statistical data. Then some conclusions and advices were reached in the end.

scholarly journals Forecasting Models Evaluation Using A Slacks-Based Context-Dependent DEA Framework

2014 ◽  
Vol 30 (5) ◽  
pp. 1477 ◽  
Author(s):  
Jamal Ouenniche ◽  
Bing Xu ◽  
Kaoru Tone
Keyword(s):  
Data Envelopment Analysis ◽  
Methodological Issue ◽  
Oil Prices ◽  
Performance Measure ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Forecasting Models ◽  
Ranking Models ◽  
Context Dependent ◽  
Efficiency Data

Xu and Ouenniche (2012a) proposed an input-oriented radial super-efficiency Data Envelopment Analysis (DEA) based model to address a common methodological issue in the evaluation of competing forecasting models; namely, ranking models based on a single performance measure at a time, which typically leads to conflicting ranks. However, their approach suffers from a number of issues. In this paper, we overcome these issues by proposing a slacks-based context-dependent DEA framework and use it to rank forecasting models of oil prices volatility.

In Search of Incredible Cities by Means of Super-Efficiency Data Envelopment Analysis

2012 ◽  
Vol 42 (1) ◽  
pp. 129-144 ◽  
Author(s):  
Andrea CARAGLIU ◽  
Chiara Del BO ◽  
Karima KOURTIT ◽  
Peter NIJKAMP ◽  
Soushi SUZUKI
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Efficiency Data

Input–output performance efficiency measurement of an electricity distribution utility using super-efficiency data envelopment analysis

2018 ◽  
Vol 22 (22) ◽  
pp. 7339-7353 ◽  
Author(s):  
Miriam F. Bongo ◽  
Lanndon A. Ocampo ◽  
Yannie Ann D. Magallano ◽  
Geraldine A. Manaban ◽  
Ezra Kim F. Ramos
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Measurement ◽  
Data Envelopment ◽  
Electricity Distribution ◽  
Input Output ◽  
Super Efficiency ◽  
Output Performance ◽  
Efficiency Data
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