Analysis of the acceptance of park-and-ride by users: A cumulative logistic regression approach
Park-and-ride (P&R) schemes are an important way of increasing the public transport mode share, which relieves the negative impact caused by excessive automobile usage. Several existing studies have been conducted in the past to explore the factors that can influence the acceptance of P&R by...
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University of Minnesota
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doaj-7ef8e0c40e8b44c39e577f4a4f3640642021-08-31T04:36:34ZengUniversity of MinnesotaJournal of Transport and Land Use1938-78492019-07-0112110.5198/jtlu.2019.1390Analysis of the acceptance of park-and-ride by users: A cumulative logistic regression approachKai Huang0Zhiyuan Liu1Ting Zhu2Inhi Kim3Kun An41 Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, China 2 Department of Civil Engineering, Monash University, Clayton, Melbourne, Australia1 Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, China1 Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing, China2 Department of Civil Engineering, Monash University, Clayton, Melbourne, Australia2 Department of Civil Engineering, Monash University, Clayton, Melbourne, AustraliaPark-and-ride (P&R) schemes are an important way of increasing the public transport mode share, which relieves the negative impact caused by excessive automobile usage. Several existing studies have been conducted in the past to explore the factors that can influence the acceptance of P&R by travelers. However, quantitative analyses of the pertinent factors and rates of traveler choice are quite rare. In this paper, the data collected from a survey in Melbourne, Australia, is used to analyze the acceptance of P&R by travelers going to the central business district (CBD). In particular, we explore the influence that specific factors have on the choice of travel by those who are currently using P&R. The results indicate that the parking fee in the CBD area, travel time on public transport, and P&R transfer time affect traveler use of P&R. A quantitative assessment of the impact of these three factors is conducted by using a cumulative logistic regression model. Results reveal that the P&R transfer time has the highest sensitivity while public transport travel time has the least. To maximize the use of P&R facilities and public transport, insights into setting parking fees and designing P&R stations are presented.https://www.jtlu.org/index.php/jtlu/article/view/1390Park and RideTraveler behaviourStated Preference Survey5-Likert ScaleCumulative Logistic Regression |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kai Huang Zhiyuan Liu Ting Zhu Inhi Kim Kun An |
spellingShingle |
Kai Huang Zhiyuan Liu Ting Zhu Inhi Kim Kun An Analysis of the acceptance of park-and-ride by users: A cumulative logistic regression approach Journal of Transport and Land Use Park and Ride Traveler behaviour Stated Preference Survey 5-Likert Scale Cumulative Logistic Regression |
author_facet |
Kai Huang Zhiyuan Liu Ting Zhu Inhi Kim Kun An |
author_sort |
Kai Huang |
title |
Analysis of the acceptance of park-and-ride by users: A cumulative logistic regression approach |
title_short |
Analysis of the acceptance of park-and-ride by users: A cumulative logistic regression approach |
title_full |
Analysis of the acceptance of park-and-ride by users: A cumulative logistic regression approach |
title_fullStr |
Analysis of the acceptance of park-and-ride by users: A cumulative logistic regression approach |
title_full_unstemmed |
Analysis of the acceptance of park-and-ride by users: A cumulative logistic regression approach |
title_sort |
analysis of the acceptance of park-and-ride by users: a cumulative logistic regression approach |
publisher |
University of Minnesota |
series |
Journal of Transport and Land Use |
issn |
1938-7849 |
publishDate |
2019-07-01 |
description |
Park-and-ride (P&R) schemes are an important way of increasing the public transport mode share, which relieves the negative impact caused by excessive automobile usage. Several existing studies have been conducted in the past to explore the factors that can influence the acceptance of P&R by travelers. However, quantitative analyses of the pertinent factors and rates of traveler choice are quite rare. In this paper, the data collected from a survey in Melbourne, Australia, is used to analyze the acceptance of P&R by travelers going to the central business district (CBD). In particular, we explore the influence that specific factors have on the choice of travel by those who are currently using P&R. The results indicate that the parking fee in the CBD area, travel time on public transport, and P&R transfer time affect traveler use of P&R. A quantitative assessment of the impact of these three factors is conducted by using a cumulative logistic regression model. Results reveal that the P&R transfer time has the highest sensitivity while public transport travel time has the least. To maximize the use of P&R facilities and public transport, insights into setting parking fees and designing P&R stations are presented. |
topic |
Park and Ride Traveler behaviour Stated Preference Survey 5-Likert Scale Cumulative Logistic Regression |
url |
https://www.jtlu.org/index.php/jtlu/article/view/1390 |
work_keys_str_mv |
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