THE INFLUENCE OF SPRAWL DEVELOPMENT, INCOME, AND INFRASTRUCTURE ON ENERGY CONSUMPTION IN CENTRAL JAVA PROVINCE, INDONESIA

Q4 Social Sciences
I. Buchori, Angrenggani Pramitasari, A. Sugiri, A. W. Sejati, M. Maryono, Y. Basuki
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引用次数: 1

Abstract

Energy consumption is influenced by many factors. Sprawl development is often alleged as one of its driving factors. Other factors like the increase of community welfare and the improvement of regional infrastructures are often indicated to trigger energy consumption. This study is aimed at investigating the influence of sprawl development and other relevant factors on the energy consumption in Central Java Province, Indonesia. Other variables denoted to influence energy consumption used in this study are road density, people’s income represented by local Gross Domestic Product (GDP) per capita, and GDP growth rate. The observed energy is limited on vehicle fuels. After investigating the significance of correlations among variables, a multiple regression model is employed. By eliminating GDP per capita because of its multicollinearity with other dependent variables, the developed formula shows that fuel consumption is generated by 47.842 of sprawling index, added by 17.216 of road ratio and 17.5 of GDP growth rata, and reduced by a constant of 26.180. These measurements are expected to be useful for urban and regional managers in developing their region, especially in estimating the fuels’ consumption considering the determined regional policies.
印尼中爪哇省无计划扩张发展、收入和基础设施对能源消耗的影响
能源消耗受到许多因素的影响。蔓延的发展经常被认为是其驱动因素之一。其他因素,如社区福利的增加和区域基础设施的改善,往往被认为会引发能源消耗。本研究旨在调查印度尼西亚中爪哇省蔓延发展和其他相关因素对能源消耗的影响。本研究中使用的其他影响能源消耗的变量包括道路密度、以当地人均国内生产总值(GDP)表示的人民收入和GDP增长率。观察到的能量在车辆燃料上是有限的。在研究了变量之间相关性的显著性之后,采用了多元回归模型。通过消除人均GDP与其他因变量的多重共线性,公式显示,燃料消耗由47.842的扩展指数产生,加上17.216的道路比率和17.5的GDP增长率,并减少26.180的常数。预计这些测量结果将有助于城市和区域管理者开发其区域,特别是在考虑已确定的区域政策的情况下估计燃料消耗量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Geoplanning Journal of Geomatics and Planning
Geoplanning Journal of Geomatics and Planning Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
1.00
自引率
0.00%
发文量
5
审稿时长
4 weeks
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