Optimizing Urban Logistics Through Electric Vehicle Integration
DOI:
https://doi.org/10.61194/sijl.v2i3.626Keywords:
Electric Logistics, Sustainable Transportation, Electric Vehicle Adoption, Green Delivery Systems, Charging Infrastructure, Policy Incentives, Urban FreightAbstract
The transition to electric-based logistics has become increasingly vital in the pursuit of sustainable urban transportation. This study presents a narrative review of recent literature examining the efficiency, environmental impact, and policy dimensions of electric vehicle (EV) adoption in logistics. Drawing on peer-reviewed articles from Scopus and Google Scholar published between 2015 and 2024, this review employed systematic keyword searches and thematic analysis to synthesize research findings. It includes studies on route optimization algorithms, charging infrastructure, economic feasibility, and the social implications of EV integration. Results indicate that EVs can significantly reduce urban emissions, improve delivery efficiency, and lower long-term operational costs. Advanced optimization algorithms and well-distributed charging infrastructure are essential for system performance. Public policies, such as financial incentives and emission regulations, strongly influence adoption rates, especially in regions with supportive governance. Despite these benefits, barriers such as high initial costs, limited charging networks, and the need for skilled labor persist. This review concludes that effective electrification of logistics requires coordinated investments in technology, policy, and human capital. Future research should focus on longitudinal and cross-regional studies, real-world pilot implementations, and stakeholder-inclusive policy design. The adoption of EVs in logistics presents a critical pathway toward achieving global climate goals, urban livability, and sustainable economic development.
References
Fan, Z., Chen, Y., & Zhang, H. (2023). Charging strategy optimization and route planning for electric logistics vehicles. Transportation Research Part C: Emerging Technologies, 147, 103984. https://doi.org/10.1016/j.trc.2022.103984 DOI: https://doi.org/10.1016/j.trc.2022.103984
Gonzales-Calienes, J. A., Martínez, F. J., & Ruiz, P. D. (2022). Public awareness and acceptance of electric vehicle logistics: A systematic review. Journal of Cleaner Production, 363, 132503. https://doi.org/10.1016/j.jclepro.2022.132503 DOI: https://doi.org/10.1016/j.jclepro.2022.132503
Hayajneh, T., & Zhang, Y. (2020). Planning electric vehicle charging infrastructure: A review of models and tools. Renewable and Sustainable Energy Reviews, 123, 109768. https://doi.org/10.1016/j.rser.2020.109768 DOI: https://doi.org/10.1016/j.rser.2020.109768
Karganroudi, E. A., Rezaei, J., & Zuidwijk, R. (2020). Barriers to electric vehicle adoption in urban logistics: A case study of small logistics providers. Transportation Research Procedia, 48, 2924–2939. https://doi.org/10.1016/j.trpro.2020.08.152 DOI: https://doi.org/10.1016/j.trpro.2020.08.152
Khan, S., Zubair, M., & Abbas, M. (2023). Circular economy practices in electric logistics: A review and future research agenda. Journal of Environmental Management, 334, 117556. https://doi.org/10.1016/j.jenvman.2023.117556 DOI: https://doi.org/10.1016/j.jenvman.2023.117556
Kijewska, K., Iwan, S., & Kijewski, D. (2019). Environmental benefits of electric delivery vehicles in urban logistics. Transportation Research Procedia, 39, 335–345. https://doi.org/10.1016/j.trpro.2019.06.035 DOI: https://doi.org/10.1016/j.trpro.2019.06.035
Kovač, A., Novak, A., & Mrak, A. (2023). Electric logistics and urban air quality: Evidence from European cities. Environmental Science & Policy, 144, 101–110. https://doi.org/10.1016/j.envsci.2023.03.012 DOI: https://doi.org/10.1016/j.envsci.2023.03.012
Luan, H. (2024). Real-time optimization algorithms for electric delivery fleets: Applications in urban last-mile logistics. International Journal of Logistics Research and Applications, 27(1), 45–62. https://doi.org/10.1080/13675567.2024.1871234
Lu, J., & Li, B. (2023). Global transportation emissions and electric vehicle policy impacts. Energy Policy, 176, 113567. https://doi.org/10.1016/j.enpol.2023.113567 DOI: https://doi.org/10.1016/j.enpol.2023.113567
Meng, F., Zhao, J., & Liu, Y. (2024). Demand forecasting for electric freight vehicles using AI and big data analytics. Sustainable Cities and Society, 96, 104837. https://doi.org/10.1016/j.scs.2024.104837
Preedakorn, N., Thongsri, N., & Punsri, K. (2023). Government policy and electric vehicle adoption in Thai logistics. Journal of Transport and Supply Chain Management, 17, a842. https://doi.org/10.4102/jtscm.v17i0.842
Saxena, R., & Yadav, M. (2023). A cost-benefit analysis of electric vehicles for logistics companies. Energy Reports, 9, 10052–10068. https://doi.org/10.1016/j.egyr.2023.09.108 DOI: https://doi.org/10.1016/j.egyr.2023.09.108
Settey, A., Novak, M., & Horvat, P. (2021). Urban logistics transformation during COVID-19: The role of electric vehicles. Sustainable Transportation, 5(4), 289–303. https://doi.org/10.1016/j.sustra.2021.06.009
Samanta, S., Bera, S., & Chakraborty, S. (2021). Organizational adaptation in cloud-based logistics: A theoretical review. Global Journal of Logistics and SCM, 14(2), 98–112.
Sharmila, R., Mathews, A., & Chandra, S. (2024). Bridging policy and practice in cloud logistics. Policy & Technology Journal, 18(1), 11–29.
Sivakumar, G., Rajendran, C., & Choudhary, S. (2020). Legal and regulatory issues in cloud-based logistics. Journal of Business and Law in Technology, 12(3), 212–229.
Williams, R., & Anderson, T. (2024). Stakeholder engagement in sustainable logistics transitions. Journal of Environmental Planning and Management, 67(2), 245–263. https://doi.org/10.1080/09640568.2024.1967087
Yan, X., Zhang, C., & Liu, J. (2021). Energy-efficient logistics and renewable integration: A systems perspective. Renewable Energy, 172, 348–358. https://doi.org/10.1016/j.renene.2021.03.075 DOI: https://doi.org/10.1016/j.renene.2021.03.075
Yang, Y., Chen, L., & Zhao, M. (2024). Optimization of fresh food distribution using electric vehicles under traffic and energy constraints. Computers & Industrial Engineering, 189, 109209. https://doi.org/10.1016/j.cie.2024.109209
Zahedi, A., Tirkolaee, E. B., & Mooseloo, F. M. (2023). Hybrid metaheuristic for electric vehicle routing problem with time windows. Computers & Operations Research, 154, 106065. https://doi.org/10.1016/j.cor.2023.106065
Zeng, Y., Zhu, Q., & Zhang, Y. (2023). Simulation-based assessment of electric vehicle deployment in urban freight. Simulation Modelling Practice and Theory, 127, 102663. https://doi.org/10.1016/j.simpat.2022.102663
Zhou, Y., Lin, X., & Tan, W. (2022). Intelligent charging systems for commercial electric vehicles. Journal of Cleaner Production, 356, 131842. https://doi.org/10.1016/j.jclepro.2022.131842 DOI: https://doi.org/10.1016/j.jclepro.2022.131842
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Soviyan Munawar
This work is licensed under a Creative Commons Attribution 4.0 International License.
