Issue |
E3S Web Conf.
Volume 73, 2018
The 3rd International Conference on Energy, Environmental and Information System (ICENIS 2018)
|
|
---|---|---|
Article Number | 03026 | |
Number of page(s) | 5 | |
Section | Environmental Management and Spatial Planning | |
DOI | https://doi.org/10.1051/e3sconf/20187303026 | |
Published online | 21 December 2018 |
Spatial Planning Based on Carrying Capacity: Study of Sustainable Coastal Area Management
1 Post Graduate student, School of Environmental Science Indonesia University, Salemba, Central Jakarta
2 Lecturer, School of Environmental Science Indonesia University, Salemba, Central Jakarta
* Corresponding author: hayati.hasibuan@ui.ac.id
The rapid development of industrial sectors, tourism, transportation, and ports, along with human settlement in coastal areas, leading to the deterioration of its environmental qualities. Hence, it requires a plan that able to balance between the development and the environmental conservation of the coastal area to achieve its sustainability, which is to consider the coastal carrying capacity. The purpose of this study is to create an alternative for spatial planning based on the carrying capacity for the space utilization for the sustainability of the coastal area. This study conducted using geographic information system (GIS) based on the land use data in 2008, 2012, and 2017 in the coastal area at Serang Regency, Indonesia. Based on the data, the significant changes shown in the industrial sector, seen from 17% in 2008 to 40% in 2017. The rapid development arises some problems that lead to environmental stress, such as the increase of industrial waste, a reclamation that potentially changes the land structure, as well as the seawater contamination in groundwater. Therefore, best alternative planning is to promote the development of natural tourism by utilizing the existing potential and at the same time conserving the environment quality.
Key words: Coastal Area / Management / Environmental Conservation / Spatial Planning / Sustainability
© 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.