Department of Information Technology, Ghent University, St Pietersnieuwstraat 41, 9000 Gent, Belgium.
Int J Environ Res Public Health. 2011 Mar;8(3):777-98. doi: 10.3390/ijerph8030777. Epub 2011 Mar 7.
Traffic influences the quality of life in a neighborhood in many different ways. Today, in many patsy of the world the benefits of accessibility are taken for granted and traffic is perceived as having a negative impact on satisfaction with the neighborhood. Negative health effects are observed in a number of studies and these stimulate the negative feelings in the exposed population. The noise produced by traffic is one of the most important contributors to the appreciation of the quality of life. Thus, it is useful to define a number of indicators that allow monitoring the current impact of noise on the quality of life and predicting the effect of future developments. This work investigates and compares a set of indicators related to exposure at home and exposure during trips around the house. The latter require detailed modeling of the population's trip behavior. The validity of the indicators is checked by their ability to predict the outcome of a social survey and by outlining potential causal paths between them and the outcome variables considered: general satisfaction with the quality of life in the neighborhood, noise annoyance at home, and reported traffic density in the area.
交通以多种不同的方式影响着社区的生活质量。如今,在世界上许多地方,人们理所当然地认为交通的便利性带来了好处,而交通却被认为对社区的满意度产生了负面影响。许多研究都观察到了负面的健康影响,这些影响刺激了暴露人群的负面感受。交通产生的噪音是影响生活质量的最重要因素之一。因此,定义一些指标来监测当前噪音对生活质量的影响并预测未来发展的影响是很有用的。这项工作研究和比较了一组与在家中暴露和在家庭周围出行时暴露相关的指标。后者需要对人口出行行为进行详细建模。通过检查这些指标预测社会调查结果的能力以及概述它们与所考虑的结果变量(对社区生活质量的总体满意度、在家中的噪音烦恼和报告的区域交通密度)之间的潜在因果关系,可以验证这些指标的有效性。