Department of Epidemiology, Center for Social Epidemiology and Population Health, University of Michigan, Ann Arbor, Michigan 48109, USA.
Health Place. 2012 Jan;18(1):96-9. doi: 10.1016/j.healthplace.2011.08.010.
We use an exploratory agent-based model of adults' walking behavior within a city to examine the possible impact of interventions on socioeconomic differences in walking. Simulated results show that for persons of low socioeconomic status, increases in walking resulting from increases in their positive attitude towards walking may diminish over time if other features of the environment are not conducive to walking. Similarly, improving the safety level for the lower SES neighborhoods may be effective in increasing walking, however, the magnitude of its effectiveness varies by levels of land use mix, such that effects of safety are greatest when persons live in areas with a large mix of uses.
我们使用一个成人城市步行行为的探索性基于代理的模型来研究干预措施对步行的社会经济差异可能产生的影响。模拟结果表明,对于社会经济地位较低的人来说,如果环境的其他特征不利于步行,那么他们对步行的积极态度所带来的步行增加可能会随着时间的推移而减少。同样,提高较低社会经济地位社区的安全水平可能对增加步行有效,但这种效果的幅度因土地利用组合水平而异,当人们生活在用途多样化的地区时,安全的效果最大。