| Issue |
MATEC Web Conf.
Volume 270, 2019
The 2nd Conference for Civil Engineering Research Networks (ConCERN-2 2018)
|
|
|---|---|---|
| Article Number | 03011 | |
| Number of page(s) | 8 | |
| Section | Transportation Engineering and Planning | |
| DOI | https://doi.org/10.1051/matecconf/201927003011 | |
| Published online | 22 February 2019 | |
Mode choice model for public transport (ferry, fast ship and aircraft) study case: Kupang - Rote Route
1
Doctoral Study Program of Civil Engineering, Faculty of Engineering, Brawijaya University, Malang, Indonesia
2
Civil Engineering Department, Faculty of Science and Engineering, Nusa Cendana University, Kupang, Indonesia
3
Magister Study Program of Water Resources Engineering, Faculty of Engineering, Brawijaya University, Malang, Indonesia
* Corresponding author: margaretachristami@gmail.com
The mode of transportation that travels from Kupang City to Rote Ndao Regency is currently a mode of sea transportation and air transportation. This study aims to find out user information based on its mode choices and model it in the multinomial log function, besides that it's hoped that this result can be used as a reference in determining policies that improve functions and facilities for mobilizing people, goods and services carried out on the Kupang to Rote.Data analysis was carried out in two ways, namely with descriptive statistical analysis techniques to explain the characteristics of respondents and multinomial logistic regression analysis to create a model of mode transportation selection for Kupang-Rote service. The results of the study showed that users of transportation services from Kupang to Rote, generally men prefer to use ferry boats while women prefer to use fast boats. The characteristics of respondents is age 20-39 years. While the factors that influence the choice of transportation are the influence of luggage, weather and comfort. For the selection model, the probability of a speedboat is 34.65%,the probability of choosing a ferry is 42.96%, and the probability of choosing an aircraft is 22.3%.
© The Authors, published by EDP Sciences, 2019
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.