苏州市区新能源汽车普及对城市道路交通噪声改善效果

杨洁; 贵于晨; 邵智娟; 沈春其; 高佳慧; 陆云平; 丁中海

doi:10.13205/j.hjgc.202602018

苏州市区新能源汽车普及对城市道路交通噪声改善效果

doi: 10.13205/j.hjgc.202602018

1. 苏州科技大学环境科学与工程学院, 江苏苏州 215009;
2. 苏州市环境科学研究所, 江苏苏州 215011;
3. 苏州市生态环境局, 江苏苏州 215011

基金项目:

国家自然科学基金项目（42377051）；江苏省研究生科研创新计划项目（KYCX23_3350）

详细信息

作者简介:
杨洁（1972—），女，教授，主要研究方向为环境政策分析与管理等。yjagnes@163.com

通讯作者:
邵智娟（1984—），女，讲师，主要研究方向为环境管理等。shaozhijuan@usts.edu.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2025-04-07
- 网络出版日期: 2026-04-11
- 刊出日期: 2026-02-01

Improvement effect of popularization of new energy vehicles on urban road traffic noise in Suzhou urban area

1. School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China;
2. Suzhou Institute of Environmental Science, Suzhou 215011, China;
3. Suzhou Bureau of Ecology and Environment, Suzhou 215011, China

摘要

摘要: 道路交通噪声污染日益严重，新能源汽车因动力源有别于传统燃油汽车，行驶时具备一定降噪优势，然而其对交通声环境质量的具体改善效果尚未明确。基于2020—2023年苏州市区道路交通噪声实时监测数据，运用ArcGIS、灰色关联分析法等，评估新能源汽车普及对道路交通噪声污染时空特征的影响及改善效果。研究表明：1）夜间噪声达标率远低于昼间；年谷值及峰值分别在2，7月；噪声与机动车活动水平紧密相关，高峰时段噪声值变化较小，非高峰时段逐年降低，夜间超标时段集中在22：00及4：00—6：00。2）主次干道、商业聚集区及大学城附近的道路污染最严重，景区、居民住宅区等地的道路污染相对较轻。3）交通拥堵是噪声污染的关键因素。随着新能源汽车占比逐渐提升，非高峰时段噪声明显下降，表明其发展对该时段交通噪声有一定改善作用。
- 城市道路交通噪声 /
- 新能源汽车 /
- 时空分布特征 /
- 影响因素 /
- 苏州市区
Abstract: Road traffic noise pollution has become increasingly severe in urban areas. Unlike traditional fuel-powered vehicles， new energy vehicles （NEVs） rely on distinct power sources， endowing them with inherent noise reduction advantages during operation. However， the specific improvement effect of NEV adoption on the quality of the urban traffic sound environment remains unclear. Based on real-time road traffic noise monitoring data collected in the urban area of Suzhou from 2020 to 2023， this study employs ArcGIS spatial analysis， grey correlation analysis， and other methods to systematically evaluate the impact of NEV penetration on the spatiotemporal characteristics of road traffic noise pollution and its mitigation effects. The results indicate that： 1） The nighttime noise compliance rate is significantly lower than that during daytime； the annual noise trough and peak occur in February and July， respectively. Traffic noise is closely correlated with motor vehicle activity—peak-hour noise levels exhibit minimal fluctuations， while non-peak-hour noise values show a gradual downward trend. Nighttime noise exceedance periods are concentrated around 22：00 and 04：00—06：00. 2） Noise pollution is most severe on arterial and secondary roads， commercial hubs， and roads adjacent to university towns， whereas scenic areas and residential districts experience relatively mild pollution. 3） Traffic congestion is identified as a key contributing factor to noise pollution. With the continuous increase in NEV penetration， non-peak-hour traffic noise has decreased significantly， demonstrating the positive mitigation effect of NEVs on traffic noise during this period.
- urban road traffic noise /
- new energy vehicles （NEVs） /
- spatiotemporal distribution /
- influencing factors /
- Suzhou urban area

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