| Issue |
MATEC Web Conf.
Volume 195, 2018
The 4th International Conference on Rehabilitation and Maintenance in Civil Engineering (ICRMCE 2018)
|
|
|---|---|---|
| Article Number | 04018 | |
| Number of page(s) | 7 | |
| Section | Transportation Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201819504018 | |
| Published online | 22 August 2018 | |
The analysis of land use weights on road traces selection
1
Doctoral Student of Environmental Science of Sriwijaya University, Palembang, Indonesia
2
Civil Engineering Department, State Polytechnic of Sriwijaya, Palembang, Indonesia
3
Civil Engineering Department, Faculty of Engineering, Sriwijaya University, Palembang, Indonesia
4
Faculty of Agriculture, Sriwijaya University, Palembang, Indonesia
* Corresponding author: iiend.indrayani@gmail.com
Land use is a basic factor in determining road traces for residential, industrial or other space areas. The existence of spatial layout will affect the class of road, where the construction of new roads should not spoil the existing spatial layout. In swamp areas, land use is more dominated by agriculture, plantations, and forests such as the presence of swamp areas in Banyuasin District [1][2][13]. The development of swamp areas that are currently being upgraded requires road infrastructure, so it is necessary to undertake a study of the selection of road traces based on existing land use, then in order to gain priority of the land use based on the importance level on the selection of road traces opinion from stakeholders is required, so the selection of road traces in swamp areas can be more economical. Data collection was done through questionnaires distributed to respondents from stakeholders related to road and environmental fields, then analysis of the importance level was done using AHP method. From the analysis results the weights of the importance of land use for the selection road traces was obtained, which are namely shrub/bushes (29.99%), plantation (22.79%), rice field (19,74%), settlements (10.48%), forest (9.77%), water body (7.22%).
© 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.