Issue |
MATEC Web Conf.
Volume 195, 2018
The 4th International Conference on Rehabilitation and Maintenance in Civil Engineering (ICRMCE 2018)
|
|
---|---|---|
Article Number | 04021 | |
Number of page(s) | 10 | |
Section | Transportation Engineering | |
DOI | https://doi.org/10.1051/matecconf/201819504021 | |
Published online | 22 August 2018 |
Analysis of air pollution caused by mass transportation design changes
1
Civil Engineering Department, Diponegoro University, Indonesia
2
Civil Engineering Department, Diponegoro University, Indonesia.
3
Civil Engineering Department, Semarang University, Indonesia
* Corresponding author: ismiyati_hs@yahoo.com
Traffic jams are a common phenomenon in Indonesia’s big cities due to the proliferation of private vehicles. The resulting air pollution directly threatens public health and urban quality of life. This research is to identify and analyze air pollution levels and forecast the potential to improve air quality by developing mass public transportation. This research employs the dust sampler method to measure the air pollution levels and calculate traffic volume, while the simulation method is used to analyze the data. The results show that the air pollution levels detected exceed the air quality thresholds established by regulations in the Decision by the Minister of Health and Environment. Traffic jam levels indicated by the Degree of Saturation (SD) were determined to be, on average, > 0.75. The simulation results show that by changing modes of transportation traffic jam levels decrease, ranging from 0.2201 to 0.291(DS), and air pollution decreases. Specifically, nitrogen oxides (NOx) are reduced by 48.19 %; sulfur dioxide (SO2) is reduced by 51.77 %; particulate matter (PM) is reduced by 29.86%; lead (Pb) is reduced by 52.22%; and carbon monoxide (CO) is reduced by 52.15%. This research suggests the mass public transportation planning should be implemented.
Key words: mass public transportation / simulation method / air pollution
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.