How do travel characteristics of ridesplitting affect its benefits in emission reduction? evidence from Chengdu
Journal article, 2023

Ridesplitting, a shared mobility service, has the potential to reduce traffic-related air pollution. This study evaluates the impacts of ridesplitting on reducing different types of emissions and investigate how travel characteristics of ridesplitting affect emission reduction based on a ridesourcing dataset in Chengdu, China. First, this study quantifies the influence of ridesplitting on emissions reduction compared to single ride (i.e., non-ridesplitting) for each trip. The results indicate that a ridesplitting trip averagely reduce CO2, CO, NOx, and HC emissions by 34.52%, 5.98%, 33.10%, and 13.42%, respectively. Subsequently, using explainable machine learning, we quantitatively analyze how the travel characteristics of ridesplitting affect emission reduction at two levels. At the trip level, shared travel distance, shared travel time, delay, and detour are important factors for emission reduction. At the grid level, the number of orders that match co-riders within the same spatial community is more important than the total number of orders.

Sustainable mobility

Nonlinear effects

Shared mobility

Emission reduction

Author

Zhe Zhang

State Key Laboratory of Ocean Engineering

Kun Gao

Chalmers, Architecture and Civil Engineering, Geology and Geotechnics

Hong Di He

State Key Laboratory of Ocean Engineering

Jin Ming Yang

State Key Laboratory of Ocean Engineering

Ruo Jia

Chalmers, Architecture and Civil Engineering, Geology and Geotechnics

Zhong Ren Peng

University of Florida

Ajman University

Transportation Research Part D: Transport and Environment

1361-9209 (ISSN)

Vol. 123 103912

Subject Categories

Transport Systems and Logistics

DOI

10.1016/j.trd.2023.103912

More information

Latest update

9/25/2023