E3S Web Conf.
Volume 202, 2020The 5th International Conference on Energy, Environmental and Information System (ICENIS 2020)
|Number of page(s)||9|
|Section||Environmental Policy, Planning and Education|
|Published online||10 November 2020|
Sustainability Development Environment: Improving Social Economy in Kalikondang Village, Demak Regency
Department of Urban and Regional Planning, Faculty of Engineering, Universitas Diponegoro, Semarang, Indonesia
* Corresponding author: firstname.lastname@example.org
Success in upgrading slums over time will tend to return to slums. This is due to unrelated economic, social, and environmental aspects. The newly upgraded Kalikondang Village tends to experience this problem because the economic sector does not support sustainability. Based on these problems, the purpose of this study is to find a sustainable model for settlement development and maintenance in Kalikondang Village, Demak Regency. The research method uses a mixed-method with a concurrent embedded model. Quantitative and qualitative descriptive analysis techniques by combining two existing forms of data with the literature. The results showed that the model of a sustainable development environment in the village of Kalikondang was to increase the economic sector first with new business dwellers, supported by increased institutional capacity at the community level as business managers. Both sectors will result in an increased income of citizens, so they can be managed by institutions in the community for sustainable development and environmental preservation. The research contribution is a model of the form of economic, social, and environmental sector relations which is the development of the theory of sustainable housing.
Key words: environment / upgrading / slum / sustainable housing
© The Authors, published by EDP Sciences, 2020
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.