Optimizing Urban Logistics Through Electric Vehicle Integration

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.

Authors

Institutions

Publication Details

Journal
Sinergi International Journal of Logistics
Published
2024-08-30
DOI
https://doi.org/10.61194/sijl.v2i3.626
Citations
4
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
1.06
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Urban Logistics Through Electric Vehicle Integration

Soviyan Munawar
4 citations
Sinergi International Journal of Logistics
Urban and Freight Transport Logistics
1.06
article

Optimizing Urban Logistics Through Electric Vehicle Integration

Soviyan Munawar
article en
4 citations

Abstract

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.

Sinergi International Journal of LogisticsVol. 2(3)
Universitas Garut (ID)
Openalex Percentile: Top 23%
Urban and Freight Transport Logistics
1.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.