Evaluating Freeway Traffic Conditions by Data Envelopment Analysis Using Loop Data

2011 ◽  
Vol 181-182 ◽  
pp. 890-895
Author(s):  
Shen Zhang ◽  
Shi An
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Measures ◽  
Evaluation Method ◽  
Data Envelopment ◽  
Freeway Traffic ◽  
Traffic Conditions ◽  
Loop Detectors ◽  
Time Loop ◽  
Freeway Congestion ◽  
Insight Into

Effective evaluation of traffic conditions is a key issue involved in alleviating freeway congestion, improving operations and estimating travel time. Loop detectors can provide reliable traffic data sources for traffic conditions measurement and monitoring, however, the multiple influencing factors derived from loop data lead to a combined effect which complicates the measurement. Therefore, a novel traffic conditions evaluation method by utilizing Data Envelopment Analysis (DEA) is proposed. The method can devise an overall traffic conditions evaluation based on the multiple performance measures. To illustrate our method, an experimental study was undertaken with dual-loop-detector data from 6 freeway sections for the year 2006, and 5 measures were selected for inclusion in this multivariate analysis to evaluate the traffic conditions. The conclusions indicate the stakeholders can gain new insight into the overall traffic conditions behind multiple performance measures with our method, and the evaluation results is helpful in identifying transportation investment priorities for specific regions and improving resource utilization among competing sectors.

scholarly journals Multi-Stakeholders Comparative Assessment of Freeway Traffic Conditions by Data Envelopment Analysis

2012 ◽  
Vol 5 ◽  
pp. 14-19
Author(s):  
Shen Zhang ◽  
Wei Quan
Keyword(s):  
Data Envelopment Analysis ◽  
Real Life ◽  
Assessment Process ◽  
Data Envelopment ◽  
Freeway Traffic ◽  
Traffic Conditions ◽  
Freeway Corridors ◽  
Effective Assessment ◽  
Hierarchy Process ◽  
Freeway Congestion

Effective assessment of traffic conditions is a key issue involved in alleviating freeway congestion, evaluating capital improvements and estimating travel time. Since the goals and objectives of assessment are inherently an expression of the various stakeholders affected by the traffic conditions, the assessment process and result must address the interests of all stakeholders. In this paper, a methodology and its application to assess traffic conditions on urban freeways are described. The methodology, which synthesizes Data Envelopment Analysis (DEA) and Analytical Hierarchy Process (AHP), can devise an overall traffic conditions assessment regarding various stakeholders’ preferences. Application of the methodology to six real-life freeway corridors in Jilin Province indicated that the stakeholders can gain new insight into the overall traffic conditions behind multiple performance measures with our method, and the assessment results is helpful in identifying transportation investment priorities for specific regions and improving resource utilization among competing sectors.

A Production Approach to Performance of Banks with Microfinance Operations

2014 ◽  
Vol 6 (2) ◽  
pp. 18-35 ◽  
Author(s):  
Emilyn Cabanda ◽  
Eleanor C. Domingo
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Performance Measures ◽  
Negative Relationship ◽  
The Philippines ◽  
Productive Efficiency ◽  
Data Envelopment ◽  
Production Frontier ◽  
Financial Performance Measures ◽  
Production Approach

Banking institutions, nowadays, serve as intermediaries of funds to a variety of clients, including the micro enterprisers. This study analyzes and measures the performance of rural and thrift banks with microfinance operations in the Philippines, using combined measures of data envelopment analysis and traditional financial performance indicators. Data envelopment analysis (DEA) method is employed to measure the productive efficiency of these banks under the production approach. The variable returns to scale is also used, with the assumption that not all banks are operating at optimal scale over the long-run period. DEA findings reveal that sample banks performed below the production frontier. The average technical efficiency score of these banks is 66.09% and additional 33.91% is needed to reach the production frontier. Overall, thrift banks are found to be more productively efficient than rural banks as depository banks. The authors have also found a strong relationship between financial performance measures and bank's productive efficiency. For thrift banks, sustainability, ROE and ROA measures showed a statistically significant positive correlation to the banks' productive efficiency while a negative relationship was observed in rural banks. Lastly, the authors can suggest that both DEA's productive efficiency and financial performance measures are consistently and strongly correlated when evaluating the overall performance of banks with microfinance operations.

Exploring the water–energy–food nexus from a perspective of agricultural production efficiency using a three-stage data envelopment analysis modelling evaluation method: a case study of the middle and lower reaches of the Yangtze River, China

Water Policy ◽  
2018 ◽  
Vol 21 (1) ◽  
pp. 49-72 ◽  
Author(s):  
Jiazhong Zheng ◽  
Weiguang Wang ◽  
Dan Chen ◽  
Xinchun Cao ◽  
Wanqiu Xing ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Agricultural Production ◽  
Yangtze River ◽  
Production Efficiency ◽  
Evaluation Method ◽  
Data Envelopment ◽  
The Yangtze River ◽  
Agricultural Resources ◽  
Important Challenge

Abstract A coordinated nexus of agricultural resources is vital to achieve food security and sustainable development in China. Comprehensively considering the water–energy–food nexus as well as the external environment, this study adopts a three-stage data envelopment analysis (DEA) modelling evaluation method to assess the agricultural production efficiency (APE) of seven provinces in the middle and lower reaches of the Yangtze River (MLYR) during 1996–2015. The results show that the three-stage DEA modelling evaluation method reveals real APE and is considered to be a better quantitative method than conventional approaches. A gradually widening range of APE is an important challenge for this region. Significantly, this region generates huge demands for agricultural resources. Moreover, regional emissions of greenhouse gases (GHG) decreased from 34.20 million tons standard coal in 1996 to 32.11 million tons standard coal in 2015, though APE has continued to decrease by 2.56% in the past two decades. In general, the management and technology levels should be improved simultaneously, even though specific opportunities for APE improvement vary across provinces in MLYR. However, understanding the temporal and spatial variation of APE along with the WEF nexus from a production-based insight is a vital step toward appropriately targeted policy making for nationwide resources savings and emissions reduction.

Analysis of Freeway Traffic Incident Conditions by Using Second-Order Spatiotemporal Traffic Performance Measures

2005 ◽  
Vol 1925 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Sherif Ishak ◽  
Ciprian Alecsandru
Keyword(s):  
Performance Measures ◽  
Second Order ◽  
Operating Conditions ◽  
Data Sets ◽  
Freeway Traffic ◽  
Contour Maps ◽  
Traffic Conditions ◽  
Statistical Measures ◽  
Study Results ◽  
Texture Characterization

The characteristics of preincident, postincident, and nonincident traffic conditions on freeways are investigated. The characteristics are defined by second-order statistical measures derived from spatiotemporal speed contour maps. Four performance measures are used to quantify properties such as smoothness, homogeneity, and randomness in traffic conditions in a manner similar to texture characterization of digital images. With real-world incident and traffic data sets, statistical analysis was conducted to seek distinctive characteristics of three groups of traffic operating conditions: preincident, postincident, and nonincident. The study results showed that the spatiotemporal characteristics of each of the three groups were not discernible. Although the distributions of performance measures within each group are statistically different, no consistent pattern was detected to imply that certain characteristics could increase the likelihood of incidents or identify precursory conditions to incidents.

ECOEFFICIENCY MEASUREMENT USING DATA ENVELOPMENT ANALYSIS: RESEARCH AND PRACTITIONER ISSUES

2004 ◽  
Vol 06 (01) ◽  
pp. 91-123 ◽  
Author(s):  
JOSEPH SARKIS ◽  
SRINIVAS TALLURI
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Performance ◽  
Published Data ◽  
Data Envelopment ◽  
Environmentally Conscious ◽  
Use Of Data ◽  
Dea Models ◽  
Using Data ◽  
Environmental Performance Evaluation ◽  
Insight Into

Ecoefficiency is critical for organisations that seek to be both environmentally conscious and profitable. Ecoefficiency has implications for a "win-win" situation to arise. Studying and managing organisations from this perspective requires an evaluation of ecoefficiency. To aid researchers and managers develop measures for ecoefficiency we review the use of data envelopment analysis (DEA) for this purpose. DEA theory and application has increased greatly. Its use as a tool for environmental performance evaluation has been limited. In this paper we provide a number of DEA models and some extensions and how they can be utilised from both the practitioner and researcher perspective. An illustrative example from published data helps to gain insight into the various models, their capabilities and limitations.

scholarly journals Cross-Efficiency Evaluation Method with Compete-Cooperate Matrix

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Qiang Hou ◽  
Xue Zhou
Keyword(s):  
Decision Making ◽  
Data Envelopment Analysis ◽  
Evaluation Method ◽  
Peer Assessment ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Self Assessment ◽  
Dea Method ◽  
Decision Making Units

Cross-efficiency evaluation method is an effective and widespread adopted data envelopment analysis (DEA) method with self-assessment and peer-assessment to evaluate and rank decision making units (DMUs). Extant aggressive, benevolent, and neutral cross-efficiency methods are used to evaluate DMUs with competitive, cooperative, and nontendentious relationships, respectively. In this paper, a symmetric (nonsymmetric) compete-cooperate matrix is introduced into aggressive and benevolent cross-efficiency methods and compete-cooperate cross-efficiency method is proposed to evaluate DMUs with diverse (relative) relationships. Deviation maximization method is applied to determine the final weights of cross-evaluation to enhance the differentiation ability of cross-efficiency evaluation method. Numerical demonstration is provided to illustrate the reasonability and practicability of the proposed method.

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