居民小区交通噪音污染防治方案及其可行性研究
发布时间：2018-11-18 09:26
【摘要】：我国社会经济快速发展引起了道路建设力度的增强和小汽车数量的骤长，由此产生的交通噪音污染也逐渐对人们的正常生活产生影响。考虑到居民的居住特性，本文对居民小区的交通噪音防治进行探讨。对交通噪音的传播衰减规律，，常见防噪措施的可行性以及小区居民对防噪的投资意愿及影响因素进行了分析。 本文的研究主要从三部分展开：交通噪音的衰减特性、居民小区防噪措施的成本及可行性，小区居民对防噪措施的投资意愿和影响因素分析。 首先，本文以广州地区为例，选择了具有代表性的三条道路进行测量，对交通噪音的水平传播规律，垂直传播规律，以及遮蔽物和绿化带对交通噪音的衰减影响进行了定量分析并应用SPSS软件对则遮蔽物和绿化带的对交通噪音引起的差异量进行定量分析。 其次，本文对居民小区防治交通噪音措施进行了概述，并选择了对居民小区更有针对性的两种防治措施：种植绿化带隔声屏这两种措施的成本和效果进行了分析。在广州选择了数十个交通噪音污染严重的小区，针对以上两种防噪方式，采用问卷调查的形式，调查了居民对小区防噪的平均投资意愿。 最后，本文采用二项Logistic模型以及分类树模型，对影响居民小区交通噪音污染的关键因素进行了分析，提出了影响居民支付医院的主要因素为家庭年收入、污染程度、居住时间等因素。
[Abstract]:The rapid development of China's social economy has led to the increase of road construction and the number of cars, and the traffic noise pollution has gradually affected the normal life of people. Considering the residential characteristics of residents, this paper discusses the traffic noise prevention in residential areas. The propagation and attenuation law of traffic noise, the feasibility of common anti-noise measures and the investment intention and influencing factors of residents in residential areas are analyzed. The research of this paper is mainly divided into three parts: the attenuation characteristics of traffic noise, the cost and feasibility of anti-noise measures in residential areas, the investment willingness of residents in residential areas and the analysis of influencing factors. First of all, taking Guangzhou area as an example, this paper chooses three representative roads to measure the horizontal and vertical propagation rules of traffic noise. The influence of shelter and green belt on the attenuation of traffic noise is analyzed quantitatively and the difference caused by traffic noise is quantitatively analyzed by SPSS software. Secondly, this paper summarizes the measures to prevent traffic noise in residential areas, and analyzes the cost and effect of the two measures: planting green belt sound insulation screen. Dozens of residential areas with serious traffic noise pollution were selected in Guangzhou. In view of the above two kinds of noise prevention methods, the average investment intention of residents on noise control was investigated by means of questionnaire survey. Finally, by using binomial Logistic model and classification tree model, this paper analyzes the key factors that affect the traffic noise pollution in residential areas, and points out that the main factors that affect residents' paying hospital are the annual income of families and the degree of pollution. Factors such as residence time
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.91
本文编号：2339637
[Abstract]:The rapid development of China's social economy has led to the increase of road construction and the number of cars, and the traffic noise pollution has gradually affected the normal life of people. Considering the residential characteristics of residents, this paper discusses the traffic noise prevention in residential areas. The propagation and attenuation law of traffic noise, the feasibility of common anti-noise measures and the investment intention and influencing factors of residents in residential areas are analyzed. The research of this paper is mainly divided into three parts: the attenuation characteristics of traffic noise, the cost and feasibility of anti-noise measures in residential areas, the investment willingness of residents in residential areas and the analysis of influencing factors. First of all, taking Guangzhou area as an example, this paper chooses three representative roads to measure the horizontal and vertical propagation rules of traffic noise. The influence of shelter and green belt on the attenuation of traffic noise is analyzed quantitatively and the difference caused by traffic noise is quantitatively analyzed by SPSS software. Secondly, this paper summarizes the measures to prevent traffic noise in residential areas, and analyzes the cost and effect of the two measures: planting green belt sound insulation screen. Dozens of residential areas with serious traffic noise pollution were selected in Guangzhou. In view of the above two kinds of noise prevention methods, the average investment intention of residents on noise control was investigated by means of questionnaire survey. Finally, by using binomial Logistic model and classification tree model, this paper analyzes the key factors that affect the traffic noise pollution in residential areas, and points out that the main factors that affect residents' paying hospital are the annual income of families and the degree of pollution. Factors such as residence time
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.91
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