Chaos Analysis of Urban Low-Carbon Traffic Based on Game Theory

Xiaohui Wu, Ren He and Meiling He
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Xiaohui Wu: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
Ren He: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
Meiling He: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China

IJERPH, 2021, vol. 18, issue 5, 1-12

Abstract: Developing urban low-carbon traffic is an effective measure to reduce traffic carbon emissions, which are important parts of greenhouse gas. In order to understand the development characteristics and regular patterns of urban low-carbon traffic, we present a game model that enables us to predict the possible range of travel mode choice and the impact of low-carbon awareness. Through chaos analysis and simulation of the model, the authors come to realize that the proportions of travel mode choice can reach an equilibrium under a certain urban traffic system. This equilibrium is related to low-carbon awareness and the situation of the urban traffic system. The research we have done suggests that in small cities with undeveloped traffic systems, the most effective measure to achieve urban low-carbon traffic is to increase the comprehensive costs of high-carbon travel. However, in big cities with developed traffic systems, raising low-carbon awareness of residents can greatly increase the proportion of low-carbon travelers and improve the stability of travel mode choice. The results could provide development strategies and policy suggestions for urban low-carbon traffic and reduce the adverse impact of urban traffic emissions on public health.

Keywords: low-carbon traffic; game theory; chaos analysis; carbon emissions (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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