Assessing the effectiveness of demand-management-technology in reducing CO₂ from urban passenger transportation.

ABSTRACT: Urban passenger transportation, as a pivotal element of the transportation system, accounts for over 40% of total carbon emissions from road transport. Consequently, mitigating carbon emissions in this sector is a crucial strategy for attaining carbon peak targets. This study centers on Lanzhou, a representative transportation hub city in China, and develops a dynamic model based on the Passenger Urban Transportation Carbon Emission System (PCES) framework to simulate emissions under three categories of interventions: Demand, Management, and Technology (DMT). The investigation analyzes the temporal trends and underlying mechanisms influencing these emissions. Results reveal that total carbon emissions from passenger transportation in Lanzhou are projected to rise until 2030, with a marked

SUBMITTER: Li X 

PROVIDER: S-EPMC12604176 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature