MATEC Web Conf.
Volume 103, 2017International Symposium on Civil and Environmental Engineering 2016 (ISCEE 2016)
|Number of page(s)||9|
|Section||Transportation Infrastructures and Highway Engineering|
|Published online||05 April 2017|
Future Parking Demand at Rail Stations in Klang Valley
School of Science and Engineering, Transportation and Logistics Department, Malaysia University of Science and Technology, Petaling Jaya, Malaysia
* Corresponding author: email@example.com
Klang Valley, Malaysia is currently undergoing a massive development of rail transportation system expansion where the current integrated rail transit system will see new extensions of two MRT lines and an LRT line by year 2020. By year 2017, the first MRT line will be ready to run with 31 new rail stations connected to the current passenger rail network. The existing Park and Ride facilities in Klang Valley are commonly known as being unable to sufficiently cater for the current parking space demand. Therefore, with the expansion of many additional rail stations which are rapidly under construction, there are doubts that the future parking space at rail stations will be able to accommodate the sudden rise of rail passengers. Although the authorities are increasing parking bays at various locations, will the future parking demand at rail stations be sufficient? This paper studies the factors influencing parking demand in terms of population, car ownership, new car registrations and passenger rail ridership and estimating the future parking demand using Linear Regression method. Result shows that the forecasted parking demand at rail stations after the implementation of the first new MRT system in 2017 is 2.7 times more than in 2014.
© The Authors, published by EDP Sciences, 2017
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.
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.