Work

Evaluating economic and environmental impact of electric modular vehicles in transit system

Year: 2025

Type: article

Abstract: Public transit systems with fixed-capacity electric buses (EBs) inefficiently handle fluctuating passenger demand. Automated electric modular vehicles (AEMVs), capable of capacity adjustment through coupling/decoupling, present a promising alternative. To comprehensively evaluate their economic and environmental impact, this study examines three service modes across six demand scenarios and varying automation levels: (I) AEMVs only, (II) EBs only, and (III) mixed operation. Beyond cost comparisons, we address a novel perspective of energy consumption reduction through AEMVs’ flexible capacity-demand matching capability. Results from a Zhengzhou case study demonstrate that mixed mode (III) achieves optimal cost efficiency, reducing costs by 3.3%–23.0% compared to EB mode (II) in high morning/evening peak scenarios across different automation stages. Mode (I) delivers lowest carbon emissions, with potential annual reductions of 87,000 tons across Zhengzhou’s entire bus network. However, during primary automation stages, high labor costs limit AEMVs’ viability to low-demand routes, though feasibility increases significantly as automation advances.

Source: Transportation Research Part D Transport and Environment

DOI: 10.1016/j.trd.2025.105122

Authors: Hong Gao, Kai Liu, Jiangbo Wang, Zhibin Chen

Institutions: Dalian University of Technology, New York University Shanghai

Language: English

Topic: Transportation and Mobility Innovations

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities, Climate action

Open Access status: hybrid

Estimated APC paid: $3,450