PROGRESS IN GEOGRAPHY ›› 2010, Vol. 29 ›› Issue (12): 1459-1469.doi: 10.11820/dlkxjz.2010.12.001

Special Issue: 人口与城市研究

• Original Articles •     Next Articles

Progresses of Low-carbon City Research

QIN Yaochen, ZHANG Lijun, LU Fengxian, YAN Weiyang, WANG Xi   

  1. Key Research Institute of Yellow River Civilization and Sustainable Development/College of Environment and Planning, Henan University, Kaifeng 475004, Henan, China
  • Received:2010-07-01 Revised:2010-10-01 Online:2010-12-25 Published:2010-12-25

Abstract:

Responses to the challenge of global warming include research into the adoption of low-carbon approaches to resource use. Accordingly, low-carbon-city studies refer to documenting, among other things, the relative significance of factors driving the current increase in urban carbon emissions. Such studies refer to the cycle and metabolism of the hypothetical low-carbon city, the low-carbon-city planning, and low-carbon-city environmental governance that would be needed in implementation. These low-carbon-city studies have deployed a range of methods, such as the LMDI method, Hybrid-EIO-LCA method, and CGE. The emphasis has been put on the study of low-carbon city in terms of sustainable development and its relationship with low-carbon economy and society, and on the establishment of urban ecosystems to form the symbiotic city and to realize smart growth and transit-oriented development of the low-carbon communities.
Researchers from both economically developed and developing countries now notice that low-carbon-city research lacks attention to the comprehensive array of factors involved and that progress is limited by the interdisciplinary matters that must be dealt with, and the uncertainty attached to some of the available input data. Reconciliation of study results across a range of spatio-temporal scales is also a challenging issue. It is argued that it will be helpful to focus on the urban carbon energy-economy-society-environment system.

Key words: carbon emission, low-carbon city, low-carbon model, research progress, spatial scale