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Understanding energy consumption pattern of households in different urban development forms: A comparative study in Bandung City, Indonesia

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  • Permana, A.S.
  • Perera, R.
  • Kumar, S.

Abstract

Urban development traditionally takes different physical and spatial forms. Taking development control and geographical location as common denominators, there are among others, three generic urban development forms in the cities of developing countries, namely controlled residential cum commercial areas, unplanned peri-urban areas, and planned satellite towns. This study attempts to analyze and compare the quantity of energy consumed for transport, non-cooking and cooking purposes at household level within those three forms of urban development, and for this purpose. Bandung City, Indonesia was selected as the study area. Data on present households' energy consumption were acquired through questionnaire. The results show two major findings in relation with household's energy consumption. Firstly, the unplanned area outweighs planned and controlled areas in terms of energy consumption per unit of income. Secondly, the lower income people spend a higher percentage of income on energy expenses than higher income people.

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  • Permana, A.S. & Perera, R. & Kumar, S., 2008. "Understanding energy consumption pattern of households in different urban development forms: A comparative study in Bandung City, Indonesia," Energy Policy, Elsevier, vol. 36(11), pages 4287-4297, November.
    • Handle: RePEc:eee:enepol:v:36:y:2008:i:11:p:4287-4297
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    1. Chern, Wen S. & Ishibashi, Kimiko & Taniguchi, Kiyoshi & Tokoyama, Yuki, 2002. "Analysis of food consumption behavior by Japanese households," ESA Working Papers 289108, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    2. Hsing, Yu, 1994. "Estimation of residential demand for electricity with the cross-sectionally correlated and time-wise autoregressive model," Resource and Energy Economics, Elsevier, vol. 16(3), pages 255-263, August.
    3. Hendrik S. Houthakker, 1980. "Residential Electricity Revisited," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    4. William P. Anderson & Pavlos S. Kanaroglou & Eric J. Miller, 1996. "Urban Form, Energy and the Environment: A Review of Issues, Evidence and Policy," Urban Studies, Urban Studies Journal Limited, vol. 33(1), pages 7-35, February.
    5. Filippini, Massimo, 1995. "Swiss residential demand for electricity by time-of-use," Resource and Energy Economics, Elsevier, vol. 17(3), pages 281-290, November.
    6. Haralambopoulos, D.A & Fappas, P & Safos, M & Kovras, H, 2001. "The structure of residential energy use on a North Aegean island: the town of Mytilene," Energy, Elsevier, vol. 26(2), pages 187-196.
    Full references (including those not matched with items on IDEAS)

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