Issue |
MATEC Web Conf.
Volume 164, 2018
The 3rd International Conference on Electrical Systems, Technology and Information (ICESTI 2017)
|
|
---|---|---|
Article Number | 01008 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/matecconf/201816401008 | |
Published online | 23 April 2018 |
Congestion Mitigation Scenario through Public Transportation Improvement
1
Information Systems, Institut Teknologi Sepuluh Nopember, Kampus ITS, Jalan Raya ITS - Sukolilo - Surabaya, 60111, Indonesia
2
STMIK Asia Malang, Jl. Soekarno Hatta - Rembuksari 1A Malang, 61234, Indonesia
3
Informatics Engineering, Petra Christian University, Jalan Siwalankerto 121-131 Surabaya, 60236, Indonesia
* Corresponding author: erma.suryani@gmail.com
Congestion can be recognized through roads filled with cars, trucks, buses and sidewalks filled with pedestrians. It usually relates to an excess of vehicles at a particular time resulting in lower speeds, sometimes much slower than normal speeds. Public transportation is a vital element in solving the congestion problem in the city. In Indonesia, currently, safe and convenient transportation modes to move from one point to another still rarely found. Therefore, the growth rate of personal vehicles soaring from year to year. Therefore, in this research a set of simulation models have been developed to mitigate congestion through the improvement of public transportation. As a method used to develop the model, system dynamics is utilized based on consideration that the method can accommodate nonlinear relationships between factors that have significant contribution to mitigate the traffic congestion. Research results show that the improvement of public transportation through comfort, safety, reliability and affordable cost can mitigate the traffic congestion.
Key words: Model / Simulation / System dynamics / Transportation mode choice
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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.