Effect of driving restrictions on air quality in Lanzhou, China: Analysis integrated with internet data source

被引:46
作者
Huang, Hengjun [1 ]
Fu, Deyin [1 ]
Qi, Wei [2 ]
机构
[1] Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou 730020, Peoples R China
[2] Lanzhou Univ Finance & Econ, Sch Finance, Lanzhou 730020, Peoples R China
关键词
Driving restrictions; Air quality; Big data; Regression discontinuity design; Environmental policy; TRANSPORT POLICIES; CARBON EMISSIONS; POLLUTION;
D O I
10.1016/j.jclepro.2016.09.082
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Driving restrictions are often introduced as an urban management method for reducing the air pollution and traffic congestion by prohibiting drivers from using their vehicles on given days, based on the last digits of vehicles' license plates. A number of cities in developing countries have used driving restrictions. This paper proposes an empirical strategy to estimate the effects of driving restrictions on air quality. The strategy. combines internet based semi-structured data source, big data processing procedure, and different estimation methods of regression discontinuity design to carry out the analysis. The results show that the driving restrictions are effective for short-run period, but are ineffective for long-run time period. Heterogeneity in short-run effect for different cut-points has also been observed. The results of the study are helpful in understanding the effectiveness of current driving restriction policies and to improve these further to achieve better results in future. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1013 / 1020
页数:8
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