Impact of air quality on public outings based on big data

Changlin AO; Jingxia WANG; Baosheng SUN

doi:10.18402/resci.2020.06.16

Journals >Resources Science >Volume 42 >Issue 6 >Page 1199 > Article

Resources Science
Vol. 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

show less

DOI: 10.18402/resci.2020.06.16 Cite this Article

Changlin AO, Jingxia WANG, Baosheng SUN. Impact of air quality on public outings based on big data[J]. Resources Science, 2020, 42(6): 1199 Copy Citation Text

show less

Fig. 1. Trends of trip frequency, air quality index (AQI), precipitation, temperature, visibility, and wind speed

Download full size | View in the Article

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]	雪 snow	=0无雪
	[201, 300]		=1有雪
	(300, ∞)	雨 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 1. Classification results of air quality index (AQI) and other control variables

变量	负二项回归		贝叶斯负二项回归（正态先验）
变量	系数	标准误	系数	标准误
常数项	3.875***	0.234	3.872***	0.239
节假日	0.900***	0.086	0.902***	0.090
雪	0.006	0.090	0.009	0.090
雨	0.044	0.071	0.043	0.071
周末	0.064	0.051	0.063	0.052
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]	-0.024	0.121	-0.018	0.121
风速(1.5, 3.3]	-0.147	0.094	-0.147	0.095
风速(3.3, 5.4]	-0.292***	0.100	-0.292***	0.102
风速(5.4, 7.9]	-0.174	0.143	-0.171	0.146
风速(7.9, 10.7]	-0.351	0.323	-0.315	0.324
能见度(2, 10]	0.030	0.205	0.029	0.210
能见度(10, ∞)	-0.076	0.219	-0.075	0.224
降水量(0, 25]	-0.101	0.069	-0.100	0.070
降水量(25, ∞)	-0.382	0.353	-0.332	0.358
AIC	5276.6		——
McFadden R ²	0.289		——
MSE	1.059		333.462

Table 2. Parameter estimation and test results

变量	系数	标准误
AQI [51, 100]	0.031	0.032
AQI [101, 150]	0.014	0.048
AQI [151, 200]	-0.039	0.072
AQI [201, 300]	-0.085	0.087
AQI (300, ∞)	-0.679***	0.121
温度(-7, 5]	-0.073	0.046
温度(5, 21]	-0.105**	0.051
温度(21, 38]	-0.047	0.065
风速(1.5, 3.3]	-0.027	0.051
风速(3.3, 5.4]	-0.015	0.055
风速(5.4, 7.9]	-0.019	0.078
风速(7.9, 10.7]	-0.045	0.170
能见度(2, 10]	-0.079	0.120
能见度(10, ∞)	-0.073	0.128
降水量(0, 25]	0.057	0.038
降水量(25, ∞)	-0.305**	0.125
门票价格(100, 200]	0.025	0.037
门票价格(200, ∞)	-0.182***	0.051
景区等级	0.008	0.007
节假日	-0.008	0.046
雪	-0.054	0.052
雨	0.031	0.038
周末	0.034	0.029
供暖季	0.091*	0.050
AIC	16447

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

Changlin AO, Jingxia WANG, Baosheng SUN. Impact of air quality on public outings based on big data[J]. Resources Science, 2020, 42(6): 1199

Download Citation

Tools

Save the article for my favorites

Paper Information