河北工业科技2025，Vol.42Issue(4)：333-339,7.DOI:10.7535/hbgykj.2025yx04004
基于网络博弈的城市居民低碳出行演化分析
Analysis of urban residents'low-carbon travel evolution based on network game theory
摘要
Abstract
To promote low-carbon travel among urban residents,an evolution game model of urban residents'low-carbon travel behavior was constructed.Firstly,the interactive structure of urban residents'travel was constructed based on the small-world network;Secondly,a utility factor was introduced to characterize individual variability,and the probability strategy updating rule for Fermi dynamics was established with the rationality level of residents as a variable to simulate the actual decision-making process of residents'travel mode choice;Finally,the parameters of the road congestion delay index,the policy incentives,the non-low-carbon travel cost,low-carbon psychological rewards and the degree of congestion were analyzed through Monte Carlo simulation experiments on residents'adoption low-carbon travel.The results indicate that the increase in low-carbon psychological reward α promotes residents'adoption of low-carbon travel.Furthermore,as non-low-carbon travel cost M increases and policy incentive L is enhanced,the proportion of low-carbon travel increases by approximately 25 percentage points and 29 percentage points,respectively,compared to the initial level.Influenced by the individual's limited rationality characteristics,the promotion impact of policy incentives on low-carbon travel behavior is limited.The study results provide theoretical support for the optimization of low-carbon travel policies,which is of positive significance for the realization of sustainable urban transport development.关键词
决策分析/博弈论/演化趋势/有限理性/低碳出行Key words
decision analysis/game theory/evolution trend/bounded rationality/low carbon travel分类
信息技术与安全科学引用本文复制引用
马金龙,刘钟夫..基于网络博弈的城市居民低碳出行演化分析[J].河北工业科技,2025,42(4):333-339,7.基金项目
河北省省级科技计划项目(23550801D) （23550801D）
