| 摘要: |
| 基于上海手机信令数据,设定空气非污染天与污染天对照组,借助方差分析、固定效应模型等方法测度空气污染对居民出行的总体影响,并揭示其时空异质性.研究发现：（1）与非污染天相比,在污染天,上海居民通勤和非通勤出行率、人均出行频次、平均出行距离、日人均出行总距离和出行范围均明显减小,人均出行时长也有所下降.非通勤出行更具有弹性,下降幅度最大.在控制其他变量的情况下,当空气质量从“良”变为“轻度污染”,即空气质量指数（AQI）从50变为150时,手机信令数据所反映的出行频次减少4.6%.（2）空气污染对上海居民出行的影响以出行频次减少为核心因素,单次出行距离减少为次要因素,进而传导到其他出行指标.（3）空气污染对上海居民不同时间段各类出行的影响存在差异.从通勤出行来看,12：00之前上班通勤出行频次有所减少,14：00—18：00返家通勤出行有所增加.从非通勤出行来看,上午10：00之后从居住地到休闲地、从工作地到休闲地的非通勤出行均大幅下降.（4）不同区域内,空气污染造成的影响也有所不同.市级商圈、郊区公园等地非通勤出行频次下降最为明显. |
| 关键词: 空气污染 居民出行 手机信令数据 上海 |
| DOI：10.3969/J.ISSN.1000-5137.2023.06.016 |
| 分类号:U 491 |
| 基金项目:国家自然科学基金（41971206） |
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| Exploring air pollution’s impact on Shanghai residents’ travel via mobile phone signaling data |
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WANG De1, JIANG Hetao2, YAN Longxu1, LI Xiande3
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1.School of Architecture and Urban Planning, Tongji University, Shanghai 200092, China;2.Dongguan Urban Construction Planning and Design Institute, Dongguan 523960, Guangdong, China;3.School of Environmental and Geographic Sciences, Shanghai Normal University, Shanghai 200234, China
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| Abstract: |
| Mobile phone signaling data from Shanghai is employed to establish a control group consisting of both normal days and air pollution days. Utilizing various statistical methods such as variance analysis and fixed effects models,the overall impact of air pollution on residents’ travel behavior is and its spatial and temporal heterogeneity was revealed by this study. The key findings of this study can be summarized as follows： （1） Additionally,the average travel duration per capita is decreased. Greater flexibility and the most substantial decline are presented for non-commuting travel. By holding other variables unchanged,it is revealed that in Shanghai,as the air quality worsens from “good” to “moderate pollution” （indicated by an increase in the air quality index from 50 to 150）,there is a 4.6% decrease in travel frequency observed through mobile signaling data. （2） The decrease in travel frequency is the primary manifestation of air pollution’s impact on residents’ travel in Shanghai,which is followed by a decrease in single trip distance,subsequently affecting other travel indicators. （3） The impact of air pollution on residents’ travel in different time periods varies in Shanghai. Regarding commuting travel,the frequency of trips to work before 12：00 diminishes,while the frequency of return trips from work increases between 14：00 and 18：00. For non-commuting travel,trips from residential areas to leisure destinations and from work areas to leisure destinations significantly decreases after 10：00 am. （4） Disparities is displayed for the impact of air pollution on different regions within Shanghai. The most substantial decline is experienced by the frequency of non-commuting travel in city-level commercial areas and suburban parks. |
| Key words: air pollution residents’ travel mobile phone signaling data Shanghai |
