Issue |
E3S Web Conf.
Volume 325, 2021
ICST 2021 – The 2nd Geoscience and Environmental Management Symposium
|
|
---|---|---|
Article Number | 07007 | |
Number of page(s) | 7 | |
Section | Urban-Rural Resources and Land Use Management | |
DOI | https://doi.org/10.1051/e3sconf/202132507007 | |
Published online | 17 November 2021 |
The bionomic of road users: a new perspective of individual mobility approach
1
Faculty of Engineering, Atma Jaya Yogyakarta University, 55281. Sleman, Yogyakarta, Indonesia
2
Faculty of Geography, Universitas Gadjah Mada, 55281, Sleman, Yogyakarta, Indonesia
* Corresponding author: jakamar@ugm.ac.id
Mostly, transport studies are centered on the factors of transportation rather than human movements. In a similar vein, communication technology revolution influence to people mobility. The performance of traffic pattern does not tend to deliver utmost needs of people mobility, because less attention of the substance of inhabitant movements. The importance of bionomic patterns of road users is based on the fact that behavior approach and adaptation will create pattern of people mobility. The aim of this research is to determine whether they adapt to nearby environment or not. Taking this, variables surveyed are individual attribute, time, duration, location, vehicle, communication to transport and purpose of trips. Investigation is conducted by providing questionnaire. The main result of this study are that the bionomic pattern of road users of selected population shows that they prefer to use simple mode vehicle to transport such as motor bike and walking. Moreover, these choices are preferred to be taken as a response to higher dense of traffic population and worsen road network system. It would be wise for planning if it considers potential effect not only to traffic but also regular road users need including goods supply, proper access and facilities for unmotorized vehicle.
© The Authors, published by EDP Sciences, 2021
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.
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