Issue |
MATEC Web Conf.
Volume 195, 2018
The 4th International Conference on Rehabilitation and Maintenance in Civil Engineering (ICRMCE 2018)
|
|
---|---|---|
Article Number | 04014 | |
Number of page(s) | 6 | |
Section | Transportation Engineering | |
DOI | https://doi.org/10.1051/matecconf/201819504014 | |
Published online | 22 August 2018 |
Analysis of influencing factors on using rental bikes at shopping tourism sites in Surakarta
1
Student of Master Program of Civil Engineering, Sebelas Maret University, Surakarta, Indonesia
2
Lecturer of Master Program of Civil Engineering, Sebelas Maret University, Surakarta, Indonesia
* Corresponding author: erlinsetyowaty@gmail.com
Surakarta as a tourism city has launched green transportation as a program in the government policy. Bikes as a supporting mode of green transportation has not gotten much attention from users, including tourism sites. Therefore, the aim of this study is to obtain the factors which influence the use of tourism bikes in Surakarta in the form of rental bikes. The location of the study was at several shopping tourism sites in Surakarta, namely Pasar Gede, Pusat Grosir Solo, Beteng Trade Center, and Pasar Klewer. The data was collected using a questionnaire with an interview method to the respondents of the visitors of the shopping sites and analyzed with the PCA (Principal Component Analysis) method. The result of the research showed that the weather condition, air pollution, bike track topography, and distance were the main factors which influenced people to use rental bikes in tourism sites of Surakarta.
© The Authors, published by EDP Sciences, 2018
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.