Assessment method of urban green transportation development level based on improved matter-element extension method

Yuhua Wang, Aizeng Li, Shuaiyang Jiao and Yiwen Wang

International Journal of Sustainable Development, 2024, vol. 27, issue 3, 339-354

Abstract: The research objective is to overcome the problems of high information loss rate, long data processing time, and low evaluation accuracy in traditional evaluation methods, and an assessment method of urban green transportation development level based on improved matter-element extension method is proposed. According to the fitness and ordered weighted averaging (OWA) operator weight values, assessment indicators are selected and an assessment indicator system is constructed. Principal component analysis (PCA) is used to reduce the dimensionality of the assessment indicator data. An evaluation model for the development level of urban green transportation is built using the improved matter-element extension method, the dimensionality reduced data is input into the model, and the evaluation results are obtained. After testing, it was found that the maximum information retention rate of this method is 97.2%, the mean data processing time is 1.63 s, the assessment accuracy is above 97.6%.

Keywords: urban green transportation; development level; assessment method; OWA operator weight values; improved matter-element extension method. (search for similar items in EconPapers)
Date: 2024
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