Issue |
MATEC Web Conf.
Volume 195, 2018
The 4th International Conference on Rehabilitation and Maintenance in Civil Engineering (ICRMCE 2018)
|
|
---|---|---|
Article Number | 04017 | |
Number of page(s) | 10 | |
Section | Transportation Engineering | |
DOI | https://doi.org/10.1051/matecconf/201819504017 | |
Published online | 22 August 2018 |
Analysis of travel pattern and the need to develop sustainable transportation infrastructure in Sarbagita metropolitan area
Civil Engineering Department, Faculty of Engineering, Udayana University, Bali - Indonesia
* Corresponding author: suthanaya@rocketmail.com
Denpasar city is the capital of Bali Province and has been developed into a metropolitan city. There has been an agglomeration of four regencies, namely Denpasar, Badung, Gianyar and Tabanan forming a Metropolitan Sarbagita area with a population close to 2 million inhabitants. With heightened population and activity, travel patterns are increasing and scattered. The development of land use in the Sarbagita Metropolitan area occurred rapidly and was not properly anticipated by the provision of adequate infrastructure. This study aims to examine the patterns of movement that occurs and projections for future conditions as a basis to develop a more sustainable transportation infrastructure. The data used are the origin-destination of people and goods, and statistical population data. The prediction method uses four-stages modeling with the help of Visum software and was validated based on the average daily traffic (ADT) data. The results of the study indicate that traffic accumulation occurs on most arterial and collector roads especially around Denpasar with a degree of saturation exceeding 1. To anticipate future population and increased activities, developing a mass public transport system, multi-mode system, ICT system, and limiting the ownership and use of private motor vehicles is necessary.
© 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.