Did Noise Pollution Really Improve during COVID-19? Evidence from Taiwan
Abstract
:1. Introduction
2. Materials and Methods
2.1. Busy Areas of Taiwan and Sources of Noise Pollution
2.2. Bayesian Regression MCMC
2.3. Dataset
3. Results
3.1. The Construction Steps of Bayesian MCMC
3.2. Evidence of Noise Pollution Reduction
3.3. Measuring Noise Pollution Using Bayesian MCMC
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Nomenclature
CNS | Chinese National Standard |
COVID-19 | Coronavirus disease |
DNL | day–night level |
EPA | Environmental Protection Administration |
EU | European Union |
Fisher Test | statistical significance test |
IEC | International Electrotechnical Commission |
LOGMARG | values of the log of the marginal likelihood for the models |
MCMC | Markov chain Monte Carlo |
POSTROBS | posterior of Bayesian |
Wilcoxon Test | non-parametric statistical hypothesis test used to compare two related samples |
Appendix A. Posterior Computation
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Descriptive | Cases of Over-Standard Noise per Time Frame | Petition Cases | Industry Petitions | Motorcycles | Cars | Density of Vehicles | |
---|---|---|---|---|---|---|---|
Before COVID-19 | Min. | 2 | 39,636 | 25,445 | 13,195,265 | 6,667,542 | 549 |
1st | 3 | 58,722 | 29,201 | 13,719,027 | 6,769,454 | 587 | |
Median | 4 | 81,368 | 32,034 | 13,968,198 | 7,287,146 | 595 | |
Mean | 6 | 72,394 | 31,628 | 14,110,811 | 7,351,197 | 593 | |
3rd | 9 | 87,076 | 33,998 | 14,425,164 | 7,869,013 | 606 | |
Max. | 14 | 96,739 | 40,174 | 15,173,602 | 8,193,237 | 617 | |
During COVID-19 | Min. | 6 | 85,457 | 31,142 | 13,992,922 | 8,118,885 | 611 |
1st | 6 | 87,926 | 33,400 | 14,020,632 | 8,137,473 | 612 | |
Median | 7 | 90,394 | 35,658 | 14,048,343 | 8,156,061 | 613 | |
Mean | 7 | 90,394 | 35,658 | 14,048,343 | 8,156,061 | 613 | |
3rd | 7 | 92,863 | 37,916 | 14,076,053 | 8,174,649 | 615 | |
Max. | 8 | 95,331 | 40,174 | 14,103,763 | 8,193,237 | 616 | |
Statistical Test | p-value Wilcoxon test (before and during COVID19) | 0.58680 | 0.00002 | 0.66670 | 0.50000 | 0.50000 | 0.66700 |
Fisher’s test (before and during COVID-19) | 0.43750 | 0.02564 | 0.00020 | 0.00050 | 0.00051 | 0.00050 |
Prior | R2 | Dim | LOGMARG | POSTROBS |
---|---|---|---|---|
AIC * | 84.70% | 6 | 2.845605 | 0.0644 |
g-prior | 30.7% | 2 | 1.131336 | 0.0785 |
ZS-null | 30.7% | 2 | 0.062679 | 0.0449 |
ZS-full | 48.2% | 4 | 3.190674 | 0.0316 |
Hyper-g | 64.6% | 6 | 0.820071 | 0.0304 |
Hyper-g-n | 30.7% | 2 | 0.613492 | 0.0414 |
Hyper-g-Laplace | 40.86% | 3 | 0.7213114 | 0.0465 |
Hyper-g-n | 30.7% | 2 | 0.6134929 | 0.0307 |
EB-local | 64.70% | 6 | 1.520647 | 0.0267 |
EB-global | 64.70% | 6 | 1.377268 | 0.0200 |
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Caraka, R.E.; Yusra, Y.; Toharudin, T.; Chen, R.-C.; Basyuni, M.; Juned, V.; Gio, P.U.; Pardamean, B. Did Noise Pollution Really Improve during COVID-19? Evidence from Taiwan. Sustainability 2021, 13, 5946. https://doi.org/10.3390/su13115946
Caraka RE, Yusra Y, Toharudin T, Chen R-C, Basyuni M, Juned V, Gio PU, Pardamean B. Did Noise Pollution Really Improve during COVID-19? Evidence from Taiwan. Sustainability. 2021; 13(11):5946. https://doi.org/10.3390/su13115946
Chicago/Turabian StyleCaraka, Rezzy Eko, Yusra Yusra, Toni Toharudin, Rung-Ching Chen, Mohammad Basyuni, Vilzati Juned, Prana Ugiana Gio, and Bens Pardamean. 2021. "Did Noise Pollution Really Improve during COVID-19? Evidence from Taiwan" Sustainability 13, no. 11: 5946. https://doi.org/10.3390/su13115946
APA StyleCaraka, R. E., Yusra, Y., Toharudin, T., Chen, R. -C., Basyuni, M., Juned, V., Gio, P. U., & Pardamean, B. (2021). Did Noise Pollution Really Improve during COVID-19? Evidence from Taiwan. Sustainability, 13(11), 5946. https://doi.org/10.3390/su13115946