Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

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Traffic Public Policy Tracking and Evaluation by the Difference in Differences Method and the Linear Regression Model

Authors
Shiyu Han1, *
1Faculty of Engineering, Data Science, The University of Sydney, Sydney, Australia
*Corresponding author. Email: shan0995@uni.sydney.edu.au
Corresponding Author
Shiyu Han
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_25How to use a DOI?
Keywords
Traffic public policy; Air quality; Linear regression; Modelling & Evaluation; Sustainability
Abstract

Energy efficiency and environmental preservation must have substantial support if sustainable growth is to be achieved. Asia has the worst urban air pollution of any region in the world, making air pollution reduction essential. Government policies have an impact on the control of air pollution, as is widely known. This study seeks to ascertain if the city’s air quality has been positively impacted by the government’s public policies, which include the mist reduction policy of 2017 and the traffic restriction policy of 2013. In order to evaluate the success of the traffic plan using the DID technique and a linear regression model, Chengdu was selected as the intervention group and Chongqing as the control group. The results showed that the city’s air quality index dropped significantly after implementing the policy. These findings demonstrate the beneficial impact traffic public policy has on reducing air pollution. China is going through a period of economic growth and transformation, but there are yet no institutions in place to support the implementation of environmental regulation. China’s research into and practise of sustainable development will be influenced by examining the efficacy of public policies on air governance.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-064-0_25
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_25How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shiyu Han
PY  - 2022
DA  - 2022/12/27
TI  - Traffic Public Policy Tracking and Evaluation by the Difference in Differences Method and the Linear Regression Model
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 213
EP  - 220
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_25
DO  - 10.2991/978-94-6463-064-0_25
ID  - Han2022
ER  -