| Issue |
E3S Web Conf.
Volume 73, 2018
The 3rd International Conference on Energy, Environmental and Information System (ICENIS 2018)
|
|
|---|---|---|
| Article Number | 08001 | |
| Number of page(s) | 5 | |
| Section | Environment, Infrastructure Development, Culture and Society | |
| DOI | https://doi.org/10.1051/e3sconf/20187308001 | |
| Published online | 21 December 2018 | |
Can online transportation support low carbon?
1 Departement of Urban and Regional Planning, Faculty of Engineering, Diponegoro University, Semarang - Indonesia
2 Undergraduate Program of Urban and Regional Planning Department, Faculty of Engineering, Diponegoro University, Semarang - Indonesia
* Corresponding author: anita.ratnasari.r@gmail.com
The existence of online transportation is one of the alternative priority modes in transportation. Online transportation has the concept of car sharing, mainly by the uses of vehicles together. The function of car-sharing is expected to reduce the number of vehicles use. Through the concept of car sharing, it can help to realize the concept of a low-carbon city. In previous studies, people prefer to choose private cars than public transportation, because of their easiness in mobility and short travel time. Online Transportation is also efficient same as private vehicles, regarding mobility and travel time. Thus, Online Transportation is expected to reduce the usage of private vehicles and create more environmentally friendly. Based on this phenomenon, researchers want to explore the purpose of the preference for online transportation. The result finds out that the variables could influence the choices of online transportation. This research was conducted using the utility of transportation mode selection model.
Key words: Online transportation / Mode Utility / Low Carbon
© The Authors, published by EDP Sciences, 2018
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.