Evaluating the Efficiency of Bike-Sharing Stations with Data Envelopment Analysis

This paper focuses on the efficiency evaluation of bike-sharing systems (BSSs) and develops an approach based on data envelopment analysis (DEA) to support the decisions regarding the performance evaluation of BSS stations. The proposed methodology is applied and tested for the Malmöbybike BSS in Malmö, Sweden. This was done by employing spatial analyses and data about the BSS usage trends as well as taking into account transport, land use, and socioeconomic context of the case study. The results of the application demonstrate consistency with the literature and highlight meaningful associations between the station relative efficiency and the urban context. More specifically, the paper provides in-depth knowledge about the preprocessing data, selection of input and output variables, and the underlying analytical approach to be potentially applied to other cases and urban contexts. Overall, the DEA-based methodology presented in this study could assist decision-makers and planners with developing operational strategies for planning and management of BSS stations and networks.

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Using Data Envelopment Analysis for Green Supplier Selection in Manufacturing under Vague Environment

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.622-623.1682 ◽

2012 ◽

Vol 622-623 ◽

pp. 1682-1685 ◽

Cited By ~ 6

Author(s):

Atefeh Amindoust ◽

Ahmed Shamsuddin ◽

Ali Saghafinia

Keyword(s):

Data Envelopment Analysis ◽

Supplier Selection ◽

Decision Makers ◽

Central Component ◽

Data Envelopment ◽

Linguistic Terms ◽

Green Supplier Selection ◽

Growth Of Knowledge ◽

Using Data

In these days, considering the growth of knowledge about environmental protection and green issues in manufacturing, green supplier selection would be the central component in the management of supply chain. This paper intends to apply data envelopment analysis for supplier selection considering environmental merits. The suppliers’ performances with respect to criteria are not pure numbers and considered in linguistic terms according to decision makers’ opinion. To handle the subjectivity of decision makers’ assessments, fuzzy logic has been applied. A case study is done to present the application of the method.

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Life cycle assessment and data envelopment analysis approach for the selection of building components according to their environmental impact efficiency: a case study for external walls

Journal of Cleaner Production ◽

10.1016/j.jclepro.2014.10.073 ◽

2015 ◽

Vol 87 ◽

pp. 707-716 ◽

Cited By ~ 34

Author(s):

Diego Iribarren ◽

Antonino Marvuglia ◽

Paula Hild ◽

Mélanie Guiton ◽

Emil Popovici ◽

...

Keyword(s):

Life Cycle Assessment ◽

Life Cycle ◽

Data Envelopment Analysis ◽

Environmental Impact ◽

Analysis Approach ◽

Data Envelopment ◽

Building Components ◽

Selection Of

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A novel Best Worst Method Robust Data Envelopment Analysis: Incorporating Decision Makers’ preferences in an uncertain environment

Operations Research Perspectives ◽

10.1016/j.orp.2021.100184 ◽

2021 ◽

pp. 100184

Author(s):

Hashem Omrani ◽

Mahsa Valipour ◽

Ali Emrouznejad

Keyword(s):

Data Envelopment Analysis ◽

Decision Makers ◽

Data Envelopment ◽

Uncertain Environment ◽

Best Worst Method

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Measuring Performance of a Three-Stage Network Structure Using Data Envelopment Analysis and Nash Bargaining Game: A Supply Chain Application

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622018500426 ◽

2018 ◽

Vol 17 (05) ◽

pp. 1429-1467 ◽

Cited By ~ 1

Author(s):

Mohammad Amirkhan ◽

Hosein Didehkhani ◽

Kaveh Khalili-Damghani ◽

Ashkan Hafezalkotob

Keyword(s):

Supply Chain ◽

Data Envelopment Analysis ◽

Nash Bargaining ◽

Data Envelopment ◽

Second Stage ◽

Proposed Model ◽

Nash Bargaining Game ◽

Dea Models ◽

Overall Efficiency

The issue of efficiency analysis of network and multi-stage systems, as one of the most interesting fields in data envelopment analysis (DEA), has attracted much attention in recent years. A pure serial three-stage (PSTS) process is a specific kind of network in which all the outputs of the first stage are used as the only inputs in the second stage and in addition, all the outputs of the second stage are applied as the only inputs in the third stage. In this paper, a new three-stage DEA model is developed using the concept of three-player Nash bargaining game for PSTS processes. In this model, all of the stages cooperate together to improve the overall efficiency of main decision-making unit (DMU). In contrast to the centralized DEA models, the proposed model of this study provides a unique and fair decomposition of the overall efficiency among all three stages and eliminates probable confusion of centralized models for decomposing the overall efficiency score. Some theoretical aspects of proposed model, including convexity and compactness of feasible region, are discussed. Since the proposed bargaining model is a nonlinear mathematical programming, a heuristic linearization approach is also provided. A numerical example and a real-life case study in supply chain are provided to check the efficacy and applicability of the proposed model. The results of proposed model on both numerical example and real case study are compared with those of existing centralized DEA models in the literature. The comparison reveals the efficacy and suitability of proposed model while the pitfalls of centralized DEA model are also resolved. A comprehensive sensitivity analysis is also conducted on the breakdown point associated with each stage.

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Technical Efficiency, Sensitivity Analysis and Economic Assessment applying Data Envelopment Analysis approach: A Case Study of Date Production in Khuzestan State of Iran

Journal of the Saudi Society of Agricultural Sciences ◽

10.1016/j.jssas.2021.08.003 ◽

2021 ◽

Author(s):

Reza Hesampour ◽

Mehrdad Hassani ◽

Marlia M. Hanafiah ◽

Kobra Heidarbeigi

Keyword(s):

Sensitivity Analysis ◽

Data Envelopment Analysis ◽

Technical Efficiency ◽

Economic Assessment ◽

Analysis Approach ◽

Data Envelopment

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GIS Based Multi-Criteria decision support system and machine learning for Hospital Site Selection case study Oran - Algeria

International Journal of Software Science and Computational Intelligence ◽

10.4018/ijssci.285592 ◽

2022 ◽

Vol 14 (1) ◽

pp. 0-0

Keyword(s):

Site Selection ◽

Decision Makers ◽

Analysis Method ◽

Automatic Learning ◽

Hospital Site ◽

Set Up ◽

High Level ◽

Selection Of ◽

The Ideal

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

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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 ◽

10.2166/wp.2018.184 ◽

2018 ◽

Vol 21 (1) ◽

pp. 49-72 ◽

Cited By ~ 3

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.

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