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Grey clustering evaluation of urban low-carbon transport development based on triangular whitenization weight function

机译：基于三角白化权函数的城市低碳交通发展灰色聚类评价

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Purpose - The purpose of this paper is to establish a grey clustering evaluation model based on center-point triangular whitenization weight function to evaluate the situation of urban low-carbon transport development (LTD). The study results intend to provide some theoretical basis and tool support for transport management departments and related researchers who are engaged in low-carbon transport (LT). Design/methodology/approach - The study uses analytical hierarchy process based on expert investigations to determine the weight of each criteria, classifies the grey clusters based on center-point triangular whitenization weight function, calculates the membership of each development criteria and ranks the development level of all dimensions. Findings - The research results of case city show that low-carbon technology is in "poor" level, transport facility is in "superior" level, low-carbon policy and environmental coordination is in "intermediate" level, transport management is in "good" level and the overall LTD level is in "intermediate" level. Practical implications - Reducing the carbon emissions of urban transport and achieving LT is the key to promote urban sustainable development, the scientific judgment of transport development situation is the premise of promoting LTD. Therefore, based on the practices of LT in China, the study systematically clarifies LTD from five dimensions of reflecting LTD. Originality/value - From the perspective of sustainable development, the evaluation index system of LTD is built with five dimensions consisting of low-carbon technology, low-carbon policy, transport facility, transport management and environmental coordination. Then assess the LTD by using the grey clustering evaluation model based on center-point triangular whitenization weight. This paper presents a new research idea for LTD evaluation.
机译：目的-本文的目的是建立基于中心点三角白化权重函数的灰色聚类评估模型，以评估城市低碳交通发展状况（LTD）。研究结果旨在为从事低碳运输（LT）的运输管理部门和相关研究人员提供一些理论基础和工具支持。设计/方法/方法-该研究使用基于专家研究的层次分析法确定每个标准的权重，基于中心点三角增白权重函数对灰色聚类进行分类，计算每个开发标准的成员并对开发水平进行排名所有尺寸。调查结果-案例城市的研究结果表明，低碳技术处于“差”水平，交通设施处于“优”水平，低碳政策和环境协调处于“中级”水平，交通管理处于“良好”水平级别，而整体LTD级别处于“中级”级别。实际意义-减少城市交通的碳排放并实现LT是促进城市可持续发展的关键，科学判断交通发展状况是推广LTD的前提。因此，根据LT在中国的实践，本研究从反映LTD的五个维度系统地阐明了LTD。原创性/价值-从可持续发展的角度来看，LTD的评估指标体系由低碳技术，低碳政策，运输设施，运输管理和环境协调五个方面组成。然后使用基于中心点三角白化权重的灰色聚类评估模型评估LTD。本文提出了一种新的评价LTD的研究思路。

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