System Simulation Study on Influences of Oil Price, Policy and Public Opinion on Travel

doi:10.16182/j.issn1004731x.joss.201810001

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.

Key words: agent-based simulation, oil price, policy, public opinion, travel mode

CLC Number:

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.

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