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Energy
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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The development of low-carbon towns in China: Concepts and practices

Authors: Lingxiao Zhao; Linwei Ma; Pei Liu; Zheng Li; Shiyao Chang; Qiang Yao;

The development of low-carbon towns in China: Concepts and practices

Abstract

Abstract A new concept of ‘low-carbon towns’ (LCTs) has emerged in the urban planning and development of China in recent years to face the challenge of global climate change. This manuscript presents the current status, basic concepts, and town practices for the development of LCTs in China. First, we summarize the driving forces and regional activities for the development of LCTs in China; then, we introduce the town types and related programs. We propose the definition of a Chinese LCT and the main approaches to developing Chinese LCTs through a system analysis revealing what they are and how they may be developed in a Chinese context. The proposed approaches to develop Chinese LCTs include economic, social, layout, technology, and reuse approaches, each of which is introduced in the context of typical town planning and management in China.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
46
Top 10%
Top 10%
Top 10%