Prediction of the effect of bike-sharing on urban carbon emission reduction: Evidence from Beijing
Year: 2025
Type: article
Abstract: Bike-sharing is regarded as a green and economical public transport mode. However, how to scientifically predict its carbon emission reduction effect is still on the way. This article builds an assessment model for emission reduction of bike-sharing. The modeling is based on the rational person hypothesis that consumers take transportation consumption expenditure as a budget constraint, and get the optimal number of trips of shared bikes for utility maximization. Then, we take Beijing as an example to carry out empirical research, whereby data on key influencing factors were collected through questionnaires and situational analysis. Finally, it is predicted that the carbon emission reduction contributed by bike-sharing in Beijing will be approximately 522,540.32–1,135,957.21 tons in 2025–2030. This study can provide a benchmark theoretical model for urban emission reduction, as well as a reference for public transport policy and environmental policy formulation. • This article builds a model for emission reduction of shared bikes based on CES utility function and Lagrangian function. • This article predicted the carbon reduction of shared bicycles from 2025 to 2030 by comparing them with taxis. • This article collected data on people's perceptions of the environment and bike-sharing scenarios through a questionnaire. • This article considers the urban spatial structure and transportation cost, evaluates users' willingness and frequency.
Source: Journal of Urban Management
Authors: Hui Zhao, Zhong Wang, Jiaming Luo, Fangru Hu
Institution: Guangdong University of Technology
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,200
OpenAlex ID: W4409907826