Estimation urban railway demand in Yogyakarta using Bivariate Ordered Probit Model
The urban railway system is believed to solve transportation problems caused by the high growth of private vehicles and urbanization. This study is going to analyze the potential demand for the urban railway in Yogyakarta, Indonesia based on bivariate ordered probit model. The survey of preference s...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201818102009 |
id |
doaj-335290dfa7a645d1b5ecca1db187c8df |
---|---|
record_format |
Article |
spelling |
doaj-335290dfa7a645d1b5ecca1db187c8df2021-02-02T03:57:11ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011810200910.1051/matecconf/201818102009matecconf_istsdc2017_02009Estimation urban railway demand in Yogyakarta using Bivariate Ordered Probit ModelYuliar Rezika WidaPriyanto SaptoZudhy Irawan MuhammadThe urban railway system is believed to solve transportation problems caused by the high growth of private vehicles and urbanization. This study is going to analyze the potential demand for the urban railway in Yogyakarta, Indonesia based on bivariate ordered probit model. The survey of preference stated with 120 samples conducted in Yogyakarta. The model of train demand is distinguished between public transport users and private vehicle users using seven scenarios. In-train travel time, waiting time, tariff, and ticketing discount for students are four factors considered in the model. The demand model shows that in-train travel time is the most important factor influence for train demand. Meanwhile, the scenario result reveals that respondents except student are willing to pay more to obtain shorter travel time, students who use private vehicle are reluctant to shift into the train, and ticketing discount brings no effect to stimulate them to use the train.https://doi.org/10.1051/matecconf/201818102009 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuliar Rezika Wida Priyanto Sapto Zudhy Irawan Muhammad |
spellingShingle |
Yuliar Rezika Wida Priyanto Sapto Zudhy Irawan Muhammad Estimation urban railway demand in Yogyakarta using Bivariate Ordered Probit Model MATEC Web of Conferences |
author_facet |
Yuliar Rezika Wida Priyanto Sapto Zudhy Irawan Muhammad |
author_sort |
Yuliar Rezika Wida |
title |
Estimation urban railway demand in Yogyakarta using Bivariate Ordered Probit Model |
title_short |
Estimation urban railway demand in Yogyakarta using Bivariate Ordered Probit Model |
title_full |
Estimation urban railway demand in Yogyakarta using Bivariate Ordered Probit Model |
title_fullStr |
Estimation urban railway demand in Yogyakarta using Bivariate Ordered Probit Model |
title_full_unstemmed |
Estimation urban railway demand in Yogyakarta using Bivariate Ordered Probit Model |
title_sort |
estimation urban railway demand in yogyakarta using bivariate ordered probit model |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2018-01-01 |
description |
The urban railway system is believed to solve transportation problems caused by the high growth of private vehicles and urbanization. This study is going to analyze the potential demand for the urban railway in Yogyakarta, Indonesia based on bivariate ordered probit model. The survey of preference stated with 120 samples conducted in Yogyakarta. The model of train demand is distinguished between public transport users and private vehicle users using seven scenarios. In-train travel time, waiting time, tariff, and ticketing discount for students are four factors considered in the model. The demand model shows that in-train travel time is the most important factor influence for train demand. Meanwhile, the scenario result reveals that respondents except student are willing to pay more to obtain shorter travel time, students who use private vehicle are reluctant to shift into the train, and ticketing discount brings no effect to stimulate them to use the train. |
url |
https://doi.org/10.1051/matecconf/201818102009 |
work_keys_str_mv |
AT yuliarrezikawida estimationurbanrailwaydemandinyogyakartausingbivariateorderedprobitmodel AT priyantosapto estimationurbanrailwaydemandinyogyakartausingbivariateorderedprobitmodel AT zudhyirawanmuhammad estimationurbanrailwaydemandinyogyakartausingbivariateorderedprobitmodel |
_version_ |
1724306774321790976 |