Convergence analysis of urban green traffic carbon emission based on grey prediction model

Lede Niu, Mei Pan and Liran Xiong

International Journal of Global Energy Issues, 2020, vol. 42, issue 5/6, 285-301

Abstract: In order to overcome the big error of convergence test results of traditional methods, a convergence analysis method of urban green traffic carbon emission based on grey prediction model is proposed. The carbon emission data of three major areas of urban green traffic in recent years are collected, and the urban green traffic carbon emission is estimated according to the data collection results, and the spatial characteristics of the obtained urban green traffic carbon emission data are analysed data processing, including differentiation processing and clustering processing, based on the grey prediction model to build a convergence analysis model of urban green traffic carbon emissions, using the model to carry out convergence analysis of urban green traffic carbon emissions. The experimental results show that the standard error of the convergence test results of the proposed method is smaller than traditional methods, which verifies the effectiveness of the proposed method.

Keywords: grey prediction model; urban green traffic; carbon emissions; convergence analysis. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=111180 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijgeni:v:42:y:2020:i:5/6:p:285-301

Access Statistics for this article

More articles in International Journal of Global Energy Issues from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().