基于DEA方法的内陆运输系统可持续性评估
发布时间：2021-08-19 09:39
可持续运输被视为运输能力,它以促进近代和后代的社会和经济发展并限制负面环境影响的方式,保证个人和货物的流动性。只要运输获得全球支持,以改变和减少其负面外部影响,运输就可以帮助应对现代挑战,包括影响人类生命和健康的交通事故,空气和噪声污染,浪费的时间以及与温室气体有关的气候变化排放。但是,目前,运输车辆和基础设施的发展往往会对可持续性构成重大威胁。因此,必须权衡增加流动性的好处与社会,环境和经济方面的成本。贯彻可持续发展的原则可以在多个方面取得进展。每个维度都可以在可衡量的要素中定义,即可持续运输系统的目标。为了实现环境的可持续性,该系统需要最大限度地减少资源消耗,最大化土地利用效率并限制对生态系统的影响,包括废物和污染的产生。为了实现经济的可持续性,要求该系统必须有效地促进人员和货物的流动,促进经济发展,并且不会造成社会的经济脆弱性。为了获得社会可持续性,该系统以与安全和人类健康相一致的方式满足所有个人的访问需求,并促进社会互动和公平。此外,可持续交通要求在所有这三个维度上发展可持续交通行为。为了向决策者提供有效和完整的概念框架,以全面,全面地评估运输,需要一个框架,其中包括可持续发展...
【文章来源】：中国科学技术大学安徽省 211工程院校 985工程院校
【文章页数】：155 页
【学位级别】：博士
【文章目录】：
摘要
Abstract
Acknowledgements
1 Introduction
1.1. Overview
1.2. Motivation
1.3. Problem and objectives
1.4. Outline of the dissertation
2 Mathematical context
2.1. DEA methodology
2.2. Current DEA models incorporating undesirable factors
2.2.1. Directional distance function and its characteristics
2.2.2. Model of Hwang et al. and its characteristics
2.2.3. Model of Chen and Delmas and its characteristics
3 Literature review on transport sustainability assessment
3.1. Sustainability dimensions of transport
3.2. Transport sustainability assessment
3.2.1. Economic and environmental sustainability
3.2.2. Social sustainability
4 Social sustainability assessment approach to inland transportation system
4.1. Introduction
4.2. Social sustainability performance measurement
4.3. Methodology
4.3.1. DEA models without explicit input
4.3.2. Shannon-DEA approach
4.3.3. Malmquist-Luenberger index
4.4. Case study of road transport in the EU
4.5. Empirical results
4.5.1. Social sustainability performance results
4.5.2. Malmquist-Luenberger index results
4.6. Discussion and conclusion
5 Triple bottom line-based sustainability assessment approach to inland transportationsystem
5.1. Introduction
5.2. Methodology
5.2.1. Decomposition of the DEA model of Chen and Delmas
5.2.2. Parallel system
5.2.3. Parallel system sharing resources
5.3. Case study of inland transport in China
5.3.1. Conceptual framework and variable description
5.3.2. Statistical characteristics of variables
5.4. Empirical results and discussion
5.4.1. Triple bottom line-based sustainability results
5.4.2. Comparison between 11th and 12th five-year plans
5.4.3. Comparison between Eastern, Central, and Western zones
5.4.4. Network inefficiency model vs.independent inefficiency model
5.5. Conclusion and policy implications
6 Concluding Remarks
6.1. Thesis summary
6.2. Theoretical contributions
6.3. Empirical contributions
6.4. Limitations and future research
Appendix A
Appendix B
Appendix C
References
本文编号：3351170
【文章来源】：中国科学技术大学安徽省 211工程院校 985工程院校
【文章页数】：155 页
【学位级别】：博士
【文章目录】：
摘要
Abstract
Acknowledgements
1 Introduction
1.1. Overview
1.2. Motivation
1.3. Problem and objectives
1.4. Outline of the dissertation
2 Mathematical context
2.1. DEA methodology
2.2. Current DEA models incorporating undesirable factors
2.2.1. Directional distance function and its characteristics
2.2.2. Model of Hwang et al. and its characteristics
2.2.3. Model of Chen and Delmas and its characteristics
3 Literature review on transport sustainability assessment
3.1. Sustainability dimensions of transport
3.2. Transport sustainability assessment
3.2.1. Economic and environmental sustainability
3.2.2. Social sustainability
4 Social sustainability assessment approach to inland transportation system
4.1. Introduction
4.2. Social sustainability performance measurement
4.3. Methodology
4.3.1. DEA models without explicit input
4.3.2. Shannon-DEA approach
4.3.3. Malmquist-Luenberger index
4.4. Case study of road transport in the EU
4.5. Empirical results
4.5.1. Social sustainability performance results
4.5.2. Malmquist-Luenberger index results
4.6. Discussion and conclusion
5 Triple bottom line-based sustainability assessment approach to inland transportationsystem
5.1. Introduction
5.2. Methodology
5.2.1. Decomposition of the DEA model of Chen and Delmas
5.2.2. Parallel system
5.2.3. Parallel system sharing resources
5.3. Case study of inland transport in China
5.3.1. Conceptual framework and variable description
5.3.2. Statistical characteristics of variables
5.4. Empirical results and discussion
5.4.1. Triple bottom line-based sustainability results
5.4.2. Comparison between 11th and 12th five-year plans
5.4.3. Comparison between Eastern, Central, and Western zones
5.4.4. Network inefficiency model vs.independent inefficiency model
5.5. Conclusion and policy implications
6 Concluding Remarks
6.1. Thesis summary
6.2. Theoretical contributions
6.3. Empirical contributions
6.4. Limitations and future research
Appendix A
Appendix B
Appendix C
References
本文编号：3351170
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