Environmental Impact Assessment of the Transportation Sector and Hybrid Vehicle Implications in Palestine
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References listed on IDEAS
- Eric Stellwagen & Len Tashman, 2013. "ARIMA: The Models of Box and Jenkins," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 30, pages 28-33, Summer.
- Jianlei Lang & Shuiyuan Cheng & Ying Zhou & Beibei Zhao & Haiyan Wang & Shujing Zhang, 2013. "Energy and Environmental Implications of Hybrid and Electric Vehicles in China," Energies, MDPI, vol. 6(5), pages 1-23, May.
- Fady M. A Hassouna & Khaled Al-Sahili, 2020. "Future Energy and Environmental Implications of Electric Vehicles in Palestine," Sustainability, MDPI, vol. 12(14), pages 1-12, July.
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Cited by:
- Hala Aburas & Isam Shahrour, 2021. "Impact of the Mobility Restrictions in the Palestinian Territory on the Population and the Environment," Sustainability, MDPI, vol. 13(23), pages 1-14, December.
- Shen, Liyin & Chen, Ziwei & Dou, Xin & Xu, Xiangrui & Cao, Zeyu & Liao, Shiju, 2024. "Restricting factors for promoting electric vehicles: Evidence from China," Transport Policy, Elsevier, vol. 148(C), pages 234-245.
- Fady M. A. Hassouna, 2022. "Urban Freight Transport Electrification in Westbank, Palestine: Environmental and Economic Benefits," Energies, MDPI, vol. 15(11), pages 1-12, June.
- Fady M. A. Hassouna & Mahmoud Assad, 2020. "Towards a Sustainable Public Transportation: Replacing the Conventional Taxis by a Hybrid Taxi Fleet in the West Bank, Palestine," IJERPH, MDPI, vol. 17(23), pages 1-11, December.
- Hanan A. Jafar & Isam Shahrour & Hussein Mroueh, 2023. "Evaluation of Greenhouse Gas Emissions in Conflict Areas: Application to Palestine," Sustainability, MDPI, vol. 15(13), pages 1-21, July.
- Xiaodong Li & Ai Ren & Qi Li, 2022. "Exploring Patterns of Transportation-Related CO 2 Emissions Using Machine Learning Methods," Sustainability, MDPI, vol. 14(8), pages 1-21, April.
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Keywords
ARIMA; sustainable transportation; environmental impacts; Palestine emissions; impact assessment; prediction model; hybrid vehicles;All these keywords.
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