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

*Imam Buchori -  Diponegoro University, Indonesia
Angrenggani Pramitasari -  Center of Geomatics' Applications for Sustainable Development (CEGAS)-Central Laboratory and Services-Diponegoro University, Indonesia
Agung Sugiri -  Diponegoro University, Indonesia
Anang Wahyu Sejati -  Diponegoro University, Indonesia
Maryono Maryono -  Diponegoro University, Indonesia
Yudi Basuki -  Diponegoro University
Received: 6 Aug 2018; Published: 25 Oct 2018.
Open Access Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Citation Format:
Article Info
Section: Articles
Language: EN
Full Text:
Statistics: 309 84
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 47.84 of sprawling index, added by 17.21 of road ratio and 17.5 of GDP growth rata, and reduced by a constant of 26.18. 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.
Keywords
energy consumption; sprawl; road density; GDP

Article Metrics: