Measuring regional transport sustainability using super-efficiency SBM-DEA with weighting preference

Tian, Na; Tang, Shusong; Che, Ada; Wu, Peng

doi:10.1016/j.jclepro.2019.118474

Cited by 142 publications

(75 citation statements)

References 34 publications

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“…This also represents a future study. Finally, other future work includes improving the impact due to lane reservation based on the traffic flow or transport sustainability [37]. He currently works at the Xi'an University of Science and Technology, China.…”

Section: Discussionmentioning

confidence: 99%

A New Efficient Algorithm for Hazardous Material Transportation Problem via Lane Reservation

Zhou

Lei

et al. 2019

IEEE Access

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Hazardous material transportation is well-known for its high potential risk. Minimizing the transportation risk is an important issue for hazardous material transportation. This paper focuses on a novel algorithm for the hazardous material transportation problem via lane reservation, whose goal is to obtain a best compromise between the impact on normal traffic due to lane reservation and the transportation risk. Firstly, a bi-objective integer programming model for the considered problem is formulated and transformed into a series of single objective models by ε-constraint method. For the transformed single objective models, a cut-and-solve and cutting plane combined method is proposed to reduce the computational time. The performance of the proposed algorithm is evaluated by an instance using a real network topology and randomly generated instances. Computational results demonstrate that the cut-and-solve and cutting plane combined method runs faster than direct use of software package CPLEX. INDEX TERMS Lane reservation, cut-and-solve method, cutting plane, transportation risk.

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Section: Discussionmentioning

confidence: 99%

A New Efficient Algorithm for Hazardous Material Transportation Problem via Lane Reservation

Zhou

Lei

et al. 2019

IEEE Access

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“…[20]. e ecological dimension is captured by the factor of environmental pollution [21]. Pollution is subclassified into:…”

Section: Legal Factorsmentioning

confidence: 99%

An Intelligent Framework for Analyzing the Feasible Modes of Transportation in Metropolitan Cities: A Hybrid Multicriteria Approach

Srivastava

Zhang

Eachempati

et al. 2021

Journal of Advanced Transportation

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The paper aims to build a hybrid personalized multicriteria model in the Indian transportation industry to identify the most feasible transport mode suitable for commuters’ customized preferences. A hybrid multicriterion model, i.e., Fuzzy Analytical Hierarchy Process (AHP), was used to compute the criteria weights, which were subsequently analyzed by three approaches, namely, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy TOPSIS, Evaluation Based on Distance from Average Solution (EDA), and Interpretive Ranking Process (IRP). The case of an Indian metropolitan city, Hyderabad, is taken to illustrate the proposed approach. The paper highlights the following transport modes: metropolitan train (unconventional mode) and conventional modes such as the car, public bus transport, and bikes for Hyderabad. Furthermore, sensitivity analysis is performed to identify the consistency in ranking with variation in weights, and the Ensemble Ranking and transportation experts validate the rankings.

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“…e findings revealed that there exist large disparities in environmental performance among regions. Also, some scholars have paid attention to the environmental performance of the transportation industry focusing one region; for example, Tian et al [32] utilized an improved super-efficiency SBM-DEA model to measure the sustainable development of the transportation industry in Shaanxi province.…”

Section: Environmental Performance Evaluation Of Transportationmentioning

confidence: 99%

Stepwise Improvement for Environmental Performance of Transportation Industry in China: A DEA Approach Based on Closest Targets

Huang

2021

Mathematical Problems in Engineering

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Transportation is regarded as an industry with high energy consumption and high CO2 emissions. Little attention has been paid to the environmental performance improvement of China’s transportation industry, especially in a stepwise improvement way. In this study, we first apply the closest targets DEA method to evaluate the environmental performance in the transportation industry of 30 provincial-level regions in China’s mainland from 2010 to 2017. Then, we incorporate the closest targets and context-dependent DEA model and thus conform a stepwise projection path for each inefficient province to improve environmental performance with less effort by the way of identifying a sequence of intermediate closest targets. The empirical study shows that the environmental performance of the transportation industry obtained from the closest targets model is greater than that obtained from the SBM model for each province. Among the three areas, the eastern area performs the best in environmental performance followed by the central region and western region. Shanghai has the best environmental performance. Additionally, compared with conventional DEA models, the proposed stepwise improvement method can generate easier and closer achieved targets for the inefficient provinces. Hainan, Yunnan, and Xinjiang provinces have the lowest environmental performance, which need four steps to achieve efficiency.

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Measuring regional transport sustainability using super-efficiency SBM-DEA with weighting preference

Cited by 142 publications

References 34 publications

A New Efficient Algorithm for Hazardous Material Transportation Problem via Lane Reservation

A New Efficient Algorithm for Hazardous Material Transportation Problem via Lane Reservation

An Intelligent Framework for Analyzing the Feasible Modes of Transportation in Metropolitan Cities: A Hybrid Multicriteria Approach

Stepwise Improvement for Environmental Performance of Transportation Industry in China: A DEA Approach Based on Closest Targets

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