Resources Science, Volume. 42, Issue 6, 1199(2020)

Impact of air quality on public outings based on big data

Changlin AO*, Jingxia WANG, and Baosheng SUN
Author Affiliations
  • Department of Management Science and Engineering, Northeast Agricultural University, Harbin 150030, China
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    Figures & Tables(4)
    Trends of trip frequency, air quality index (AQI), precipitation, temperature, visibility, and wind speed
    • Table 1. Classification results of air quality index (AQI) and other control variables

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      Table 1. Classification results of air quality index (AQI) and other control variables

      属性分类属性分类
      空气质量指数 AQI[0, 50]降水量 precipitation/mm=0
      [51, 100](0, 25]
      [101, 150](25, ∞)
      [151, 200]snow=0无雪
      [201, 300]=1有雪
      (300, ∞)rain=0无雨
      温度 temperature/℃(-∞, -7]=1有雨
      (-7, 5]供暖季 season=0非供暖季
      (5, 21]=1供暖季
      (21, 38]节假日 holiday=0非节假日
      风速 wind speed/(m/s)(-∞, 1.5]=1节假日
      (1.5, 3.3]周末 weekend=0非周末
      (3.3, 5.4]=1周末
      (5.4, 7.9]门票价格 price/元[0, 100]
      (7.9, 10.7](100, 200]
      能见度 visibility/km(-∞, 2](200, ∞)
      (2, 10]
      ( 10, ∞)
    • Table 2. Parameter estimation and test results

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      Table 2. Parameter estimation and test results

      变量负二项回归贝叶斯负二项回归(正态先验)
      系数标准误系数标准误
      常数项3.875***0.2343.872***0.239
      节假日0.900***0.0860.902***0.090
      0.0060.0900.0090.090
      0.0440.0710.0430.071
      周末0.0640.0510.0630.052
      供暖季-0.188**0.087-0.187**0.090
      AQI [51, 100]-0.164***0.062-0.162**0.063
      AQI [101, 150]-0.285***0.089-0.281***0.092
      AQI [151, 200]-0.269**0.131-0.263*0.135
      AQI [201, 300]-0.449***0.153-0.434***0.153
      AQI (300, ∞)-0.513**0.227-0.491**0.235
      温度(-7, 5]-0.503***0.074-0.502***0.075
      温度(5, 21]-0.592***0.088-0.590***0.088
      温度(21, 38]-0.0240.121-0.0180.121
      风速(1.5, 3.3]-0.1470.094-0.1470.095
      风速(3.3, 5.4]-0.292***0.100-0.292***0.102
      风速(5.4, 7.9]-0.1740.143-0.1710.146
      风速(7.9, 10.7]-0.3510.323-0.3150.324
      能见度(2, 10]0.0300.2050.0290.210
      能见度(10, ∞)-0.0760.219-0.0750.224
      降水量(0, 25]-0.1010.069-0.1000.070
      降水量(25, ∞)-0.3820.353-0.3320.358
      AIC5276.6——
      McFadden R 20.289——
      MSE1.059333.462
    • Table 3. Parameter estimation of Ordered Probit regression and test results

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      Table 3. Parameter estimation of Ordered Probit regression and test results

      变量系数标准误
      AQI [51, 100]0.0310.032
      AQI [101, 150]0.0140.048
      AQI [151, 200]-0.0390.072
      AQI [201, 300]-0.0850.087
      AQI (300, ∞)-0.679***0.121
      温度(-7, 5]-0.0730.046
      温度(5, 21]-0.105**0.051
      温度(21, 38]-0.0470.065
      风速(1.5, 3.3]-0.0270.051
      风速(3.3, 5.4]-0.0150.055
      风速(5.4, 7.9]-0.0190.078
      风速(7.9, 10.7]-0.0450.170
      能见度(2, 10]-0.0790.120
      能见度(10, ∞)-0.0730.128
      降水量(0, 25]0.0570.038
      降水量(25, ∞)-0.305**0.125
      门票价格(100, 200]0.0250.037
      门票价格(200, ∞)-0.182***0.051
      景区等级0.0080.007
      节假日-0.0080.046
      -0.0540.052
      0.0310.038
      周末0.0340.029
      供暖季0.091*0.050
      AIC16447
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    Changlin AO, Jingxia WANG, Baosheng SUN. Impact of air quality on public outings based on big data[J]. Resources Science, 2020, 42(6): 1199

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    Paper Information

    Received: Jul. 12, 2019

    Accepted: --

    Published Online: Apr. 15, 2021

    The Author Email: AO Changlin (aochanglin2002@126.com)

    DOI:10.18402/resci.2020.06.16

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