Exploring Public Perception of Paratransit Service Using Binomial Logistic Regression

Authors

  • Tri Basuki Joewono Department of Civil Engineering, Faculty of Engineering, Parahyangan Catholic University
  • Hisashi Kubota Department of Civil & Environmental Engineering, Graduate School of Science and Engineering, Saitama University

:

https://doi.org/10.9744/ced.9.1.pp.%201-8

Keywords:

paratransit, public perception, binomial logistic regression.

Abstract

Knowledge of the market is a requirement for a successful provision of public transportation. This study aims to explore public perception of paratransit service, as represented by the user and non-user of paratransit. The analysis has been conducted based on the publicâs response, by creating several binomial logistic regression models using the public perception of the quality of service, quality of car, quality of driver, and fare. These models illustrate the characteristics and important variables to establish whether the public will use more paratransit in the future once improvements will have been made. Moreover, several models are developed to explore public perception in order to find out whether they agree to the replacement of paratransit with other types of transportation modes. All models are well fitting. These models are able to explain the respondentsâ characteristics and to reveal their actual perception of the operation of paratransit. This study provides a useful tool to know the market in greater depth.

Downloads

Published

2007-04-03

How to Cite

Joewono, T. B., & Kubota, H. (2007). Exploring Public Perception of Paratransit Service Using Binomial Logistic Regression. Civil Engineering Dimension, 9(1), pp. 1-8. https://doi.org/10.9744/ced.9.1.pp. 1-8

Issue

Vol. 9 No. 1 (2007): MARCH 2007

Section

Articles

License

Authors who publish with this journal agree to the following terms:
  1. Authors retain the copyright and publishing right, and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) followingthe publication of the article, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).