Research on Transportation Carbon Emission Peak Prediction and Judgment System in China
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Cited by:
- Yanming Sun & Guangzhen Zhang, 2024. "Analysis of the Measurement of Transportation Carbon Emissions and the Emission Reduction Path in the Yangtze River Economic Belt under the Background of “Dual Carbon” Goals," Energies, MDPI, vol. 17(14), pages 1-20, July.
- Yiming Chen & Zhaoyue Qin & Yue Yan & Yi Huang, 2024. "The Power of Influencers: How Does Influencer Marketing Shape Consumers’ Purchase Intentions?," Sustainability, MDPI, vol. 16(13), pages 1-18, June.
- Ling Hou & Huichao Chen, 2024. "The Prediction of Medium- and Long-Term Trends in Urban Carbon Emissions Based on an ARIMA-BPNN Combination Model," Energies, MDPI, vol. 17(8), pages 1-19, April.
- Chao Dai & Yuan Tan & Shuangping Cao & Hong Liao & Jie Pu & Haiyan Huang & Weiguang Cai, 2024. "Analysis and Short-Term Peak Forecasting of the Driving Factors of Carbon Emissions in the Construction Industry at the Provincial Level in China," Energies, MDPI, vol. 17(16), pages 1-15, August.
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Keywords
transportation carbon emissions; peak prediction; scenario analysis; autoregressive integrated moving average model (ARIMA); comprehensive research and judgment system;All these keywords.
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