• DocumentCode
    2179525
  • Title

    Analysis of the Factors Influencing the Energy Consumption Pattern of Two Million Level Cities In China

  • Author

    Yu, Wei ; Pagani, Roberto ; Huang, Lei

  • Author_Institution
    Dept. of Sci. & Technol. for Human Settlements, Politec. di Torino, Torino, Italy
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This study aimed to explore main factors influencing energy consumption patterns, and investigate which one had main effect in the cities of developing China having greater than two million populations. 40 parameters related to city energy consumption of core areas of 21 major cities with population above two million were collected from statistical data for 2006. These parameters were divided into live groups: city attribute, demography, economy, industries, city transport and domesticity. By using bivariate correlation analysis 23 significant parameters were selected, and then they were reduced to 4 independent influencing factors in factor analysis. Regression analysis on the relation between the influencing factors and the city energy consumption indicator showed that two factors associating with city level have more influence than another two factors describing household level effects.
  • Keywords
    demography; economics; power consumption; regression analysis; China; bivariate correlation analysis; city attribute; core areas; demography; economy; energy consumption pattern; regression analysis; statistical data; two million level cities; Cities and towns; Demography; Energy consumption; Energy management; Humans; Industrial relations; Pattern analysis; Regression analysis; Statistics; Urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5304985
  • Filename
    5304985