Chaos Analysis of Urban Low-Carbon Traffic Based on Game Theory
Bibliographic Data
| ID | 15458708 |
|---|---|
| Authors | Xiaohui Wu (0000-0003-0928-7979, Jiangsu University, corresponding author), Ren He (0000-0002-9352-1213, Jiangsu University), Meiling He (0000-0002-2144-8520, Jiangsu University) |
| Year | 2021 |
| Volume | 18 |
| Issue | 5 |
| Pages | 2285-2285 |
| Publication date | 2021-02-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18052285 |
| PMID | 33669034 |
| OpenAlex | W3131861409 |
| Language | EN |
| Citations received | 1 |
| References cited | 36 |
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
Business · Carbon fibers · Economics · Environmental economics · Greenhouse gas · Mode (computer interface · Order (exchange · Transport engineering · Computer Science · Engineering · Environmental Science · Human Mobility and Location-Based Analysis · Transportation Planning and Optimization · Urban Transport and Accessibility
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| Citations per year | 0.2 |
|---|---|
| Citation span | 2021 - 2021 (1) |
| Highly cited | No |