Study On Urban-life Energy Use And Impact Of Human Behaviors Through Investigations In Seven Chinese Cities

The course of energy saving in urban area is based on energy data. But existing statistics in China could not serve it satisfyingly, due to vague definition of boundaries and insufficient consideration of characteristics of energy use in all sectors. Meanwhile, due to lack of research on human behaviors'impact on energy use, especially in building and transport sectors, the undergoing work of urban energy saving is problematic and inefficient. Consequently, following researches are carried out in the purpose of providing some references:First, energy use within cities is divided into 2 parts as goods production sector and urban-life sector in this study. And it is argued that prohibiting over-growth of urban-life energy use should be key issue in the course of urban energy saving, which further relies on well understanding of current status of urban-life energy use in China, and the relationship between urban-life energy use and human behavior modes.Secondly, questionnaire surveys in 7 Chinese cities are carried out and calculation models for energy use in 4 sub-sectors as residential, work, leisure and passenger transport in urban-life sector are developed to figure out that: the average urban-life energy use per capita in China is about 1 tce/(ca.a), which is only 1/2 that in Japan and far less than in USA; Yet, it is observed that approximately 10% samples'energy use has reached Japan level, the transport energy use of who even exceeds USA level.Thirdly, a series of indices are developed through analysis on relationship between urban-life energy use and human behavior, to further categorize samples into different groups with defined human behavior modes. There are specific behaviors and trends in common within a group of a certain human behavior mode, and tens, even hundreds of folds of differences in energy use as well. It should be noted that there are over 70% samples'residential and tranpsport energy use that shows no obvious relationship with their incomes (less than 30 kRMB/(ca.a)).And finally, key indices and comparative methods are developed for further application of above results. This study provides 2 examples in Wenzhou city and Shanghai city to illustrate how to explain existing energy gaps between different cities, to map out clear and quantified energy goals and strategies, and to predict energy saving potential, with above methods.This study figures out current situations of urban-life energy use in China, the categorization and distribution of different human behavior modes as well. Based on them, macroscopic and quantitative analysis on urban-life energy use in a certain city and area could be conveniently carried out, to further map out pertinent energy strategies in urban-life sector, and to predict energy saving potential.