文章基本信息

标题：Optimizing Green Open Space (GOS) Management for Spatial Utilization in Palu City in Terms of Ecological, Economic, Social and Policy Aspect
其他标题：Optimizing Green Open Space (GOS) Management for Spatial Utilization in Palu City in Terms of Ecological, Economic, Social and Policy Aspect
本地全文：下载
作者：Ardin T. Taiyeb ; Syukur Umar ; Indrianto Kadekoh 等
期刊名称：Journal of Natural Sciences Research
印刷版ISSN：2225-0921
电子版ISSN：2225-0921
出版年度：2016
卷号：6
期号：18
页码：8-15
语种：English
出版社：The International Institute for Science, Technology and Education (IISTE)
摘要：Tha management of green open space (GOS) has lasted for long time period in Palu city but the fact is the results have not been as expected. The research aimed is to determine the level of knowledge and understanding; appropriate socialization method; partial effect and correlations between (X) variable on (Y) in (GOS) management; appropriate policies and strategies in order to strengthen institution to manage GOS utilization in Palu city and to compose a simulation of dynamical system. This research was conducted in Palu with the number of its sample was 400 respondents. The result shows that that the level of public knowledge about GOS reaches 68.75% or 275 respondents with the level of understanding is in nescience category and the appropriate socialization methods are counseling and Society Group Formation which concerns on spatial and provision complaint unit. Multiple linear analysis method is obtained from 12 independent variable and dependent variables, linked simultaneously and clear partial effect, with poor correlation R2 51%, Stepwise method obtains seven independent variables in its model; GOS index Palu city overall is optimal with point 3.962 (IGOScity3, 962> 1),the GOS balance index private in Palu has not been able to perform optimally (GOScity Private<1); There is causality (causal loops) based on space by area and population growth with variables (X) in term of ecological, economic, social, and policy on variable (Y); The strategies and policies of GOS Management to strengthening the institution are in quadrant 1, namely, the relationship the strength and its possibility with the value is 1, 51 and 1, 44; 1, 72 and 1, 87. Keywords: Likert Scale Analysis, Multiple Regression Analysis, Research Variables, hypotheses, GOS index.
关键词：Likert Scale Analysis; Multiple Regression Analysis; Research Variables; hypotheses; GOS index.