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| 基于网络大数据的公众感知城市声环境研究 |
| Urban Acoustic Environment Research by Public Perception Based on Web Big Data |
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| DOI： |
| 中文关键词: 城市声环境 网络大数据 公众参与 地理信息 重庆 |
| 英文关键词: Urban acoustic environment Web big data Public participation Geo information Chongqing |
| 基金项目:重庆市技术创新与应用示范（社会民生类重点研发）基金资助项目（cstc2018jscx mszdX0067）；重庆市博士后基金特别资助项目（Xm2017144）；重庆市博士后基金日常资助项目（Rc201515） |
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| 中文摘要: |
| 尝试基于网络大数据建立区域性公众意见收集及制图方法，分析城市声环境的时空变化特征及噪声来源组成。研究表明，公众对城市声环境的反馈意见集中在城市内部的成熟地区，随着向城市外部延伸而降低，热点地区在空间分布上呈现年纪间变化的特征。定量化识别公众认为的城市3大噪声来源，包括工地施工（74.45%）、生产加工（1394%）、机器运行（3.29%）。公众对夜晚城市声环境更加敏感，感知的夜间噪声占比（85.26%）显著高于白天，在22：00公众感知噪声量快速升高并达到峰值。 |
| 英文摘要: |
| The spatiotemporal variation characteristics of urban acoustic environment and noise sources were studied by creating regional public opinion collection and mapping method based on web big data. Results showed that public feedback on urban acoustic environment concentrated in city centers. The feedback reduced as it extended to city outside. There was an annual variation in spatial distribution in hotspot area. The three main noise were from construction site(74.45%)， producing and processing (13.94%)， machine running（3.29%） by quantitative identification of public perception. The public were more sensitive to urban acoustic environment at night. The proportion of the perception of noise at night(85.26%) was far greater than that in the daytime. The public perception of noise rose rapidly and reached the peak at 22 oclock. |
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