Issue |
E3S Web Conf.
Volume 425, 2023
International Conference of Technology on Community and Environmental Development (ICTCED 2023)
|
|
---|---|---|
Article Number | 03001 | |
Number of page(s) | 13 | |
Section | Green & Blue Economy | |
DOI | https://doi.org/10.1051/e3sconf/202342503001 | |
Published online | 14 September 2023 |
Analysis of Willingness to Pay for Toll Users in Central Java Province
1 Doctoral Program of Civil Engineering, Faculty of Engineering, Universitas Sebelas Maret, Jl. Ir. Sutami No. 36, Surakarta, Indonesia
2 Doctoral Program of Economy, Faculty of Economy, Universitas Sebelas Maret, Jl. Ir. Sutami No. 36, Surakarta, Indonesia
* Corresponding Author: wahyuningsihth@student.uns.ac.id
Transportation infrastructure is a crucial component of national development. Road infrastructure development could lead to increased productivity, global competitiveness, employment opportunities, real sector growth, and reduced poverty. Therefore, this case study aimed to assess the willingness of toll road users in Central Java Province to pay for toll roads and the extent to which the parameters of gender, education, type of vehicle, and occupation affect the willingness to pay. The study also analyzed the variables influencing the toll user’s willingness to pay (WTP). These variables include road conditions, income, age, type of vehicle, frequency of toll users, and travel destinations. Eviews software was used to analyze the economic impact of toll users through logistics regression. Furthermore, Stata software was used to conduct a descriptive analysis of the questionnaire data. The results showed that the frequency of toll users has the greatest impact on willingness to pay, surpassing traffic conditions, type of vehicle, purpose of travel, and travel time. The odds ratio value for the toll user’s frequency was 66.85 [95% CI (13.02-343.07)]. It means that people using toll access more than 15 times are 66.85 times more willing to pay than those using the roads less frequently.
© The Authors, published by EDP Sciences, 2023
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.