Journal of System Simulation
Abstract
Abstract: With the advancement of urbanization, environmental problems such as traffic congestion and automobile exhaust pollution have received widespread attention, which made it of great significance to rationally adjust and guide people to choose green travel modes to optimize the structure of consumer travel. By constructing agent-based binary and ternary consumer driving state simulation models, three measures that may affect the consumer travel, namely, oil price regulation, policy intervention and public opinion guidance are researched, in order to explore the most influential measures, and how the three measures are more suitable for guiding healthy travel and optimizing urban road conditions, and based on this, give reasonable advice on consumer travel guidance measures.
Recommended Citation
Liu, Yijun; Li, Mengwei; and Ying, Lian
(2019)
"System Simulation Study on Influences of Oil Price, Policy and Public Opinion on Travel,"
Journal of System Simulation: Vol. 30:
Iss.
10, Article 1.
DOI: 10.16182/j.issn1004731x.joss.201810001
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss10/1
First Page
3597
Revised Date
2018-09-13
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201810001
Last Page
3607
CLC
C94
Recommended Citation
Liu Yijun, Li Mengwei, Lian Ying. System Simulation Study on Influences of Oil Price, Policy and Public Opinion on Travel[J]. Journal of System Simulation, 2018, 30(10): 3597-3607.
DOI
10.16182/j.issn1004731x.joss.201810001
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Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons