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2023 | OriginalPaper | Chapter

Research on the Carbon Emission Prediction of Chongqing Transportation Industry Based on Scenario Analysis

Authors : Ying Liu, Liudan Jiao, Ya Wu, Liu Wu

Published in: Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

Publisher: Springer Nature Singapore

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Abstract

The “double carbon” target reflects the new goals and requirements of China entering a new stage of development. In order to achieve the goal of Chongqing’s carbon peak, it is a timely and urgent problem to analyze the carbon emission level of Chongqing’s transportation industry. Based on the data on per capita GDP, passenger transport turnover, freight transport turnover, energy intensity, urbanization rate, private car ownership, and energy structure of Chongqing from 2000 to 2020, this paper applies the extended SRTIRPAT model to predict the carbon emissions of Chongqing’s transportation industry from 2021 to 2035 with different scenarios. Finally, this paper puts forward some appropriate suggestions based on the prediction results.

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Metadata
Title
Research on the Carbon Emission Prediction of Chongqing Transportation Industry Based on Scenario Analysis
Authors
Ying Liu
Liudan Jiao
Ya Wu
Liu Wu
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

Print ISBN: 978-981-9936-25-0

Electronic ISBN: 978-981-9936-26-7

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-3626-7_117