Revealing the impacts of COVID-19 pandemic on intercity truck transport: New insights from big data analytics DOI
Yitao Yang,

Bin Jia,

Zhenzhen Yang

et al.

Transportation Research Part C Emerging Technologies, Journal Year: 2024, Volume and Issue: 169, P. 104861 - 104861

Published: Sept. 20, 2024

Language: Английский

Geography and geographical knowledge contribute decisively to all Sustainable Development Goals targets DOI Creative Commons
Paulo Pereira, Wenwu Zhao

Geography and sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100267 - 100267

Published: Jan. 1, 2025

Language: Английский

Citations

1
Assessing the resilience of urban truck transport networks under the COVID-19 pandemic: A case study of China DOI
Yitao Yang, Erjian Liu, Yan Chen

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2025, Volume and Issue: 197, P. 104087 - 104087

Published: March 20, 2025

Language: Английский

Citations

0
Evaluating the machine learning‑based models for predicting carbon neutrality in Sub-Saharan African Nations DOI Creative Commons
Büşra Ağan, Serdar Çelik, Obadiah Ibrahim Damak

et al.

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: May 19, 2025

Abstract Achieving net-zero emission goals is a critical challenge for Sub-Saharan Africa, region burdened with distinct economic and environmental pressures. This study employs comparative machine learning (ML) framework, utilizing Decision Tree, XGBoost, Random Forest, Elastic Net, Lasso, AdaBoost models, to predict CO₂ emissions based on key socioeconomic energy-related factors, including energy efficiency, government stability, clean energy, GDP per capita, population. The Forest model outperformed others, achieving an RMSE of 0.310, MAPE 2.73%, MAE 0.228, R 2 0.954, indicating its robustness in handling nonlinear interactions. Sensitivity analysis the SHAP revealed that stability has minimal influence emissions, while feature importance identified population as most determinant. Additionally, results highlight regional variations, Ethiopia, Ghana, South Africa showing consistent prediction trends, whereas countries like Burundi, Gabon, Mozambique, Zimbabwe exhibit higher uncertainties. These findings underscore necessity policymakers prioritize targeted investments implement enhanced regulatory frameworks, foster cooperation achieve carbon neutrality. also emphasizes value techniques providing actionable insights sustainable development resource-constrained regions. Graphical

Language: Английский

Citations

0
Simulation-based impact assessment framework for driving restriction zone policies DOI Creative Commons
Hao Wu,

Danyue Zhi,

Biao Yin

et al.

Transportation Research Part D Transport and Environment, Journal Year: 2025, Volume and Issue: 141, P. 104615 - 104615

Published: Feb. 22, 2025

Language: Английский

Citations

0
Revealing the impacts of COVID-19 pandemic on intercity truck transport: New insights from big data analytics DOI
Yitao Yang,

Bin Jia,

Zhenzhen Yang

et al.

Transportation Research Part C Emerging Technologies, Journal Year: 2024, Volume and Issue: 169, P. 104861 - 104861

Published: Sept. 20, 2024

Language: Английский

Citations

1