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岸边社区精明增长理论对中国沿岸城市发展的启示

张景奇 孙萍 纪秀娟 唐莹

中国人口·资源与环境2011,Vol.21Issue(1):33-37,5.
中国人口·资源与环境2011,Vol.21Issue(1):33-37,5.DOI:10.3969/j.issn.1002-2104.2011.01.006

岸边社区精明增长理论对中国沿岸城市发展的启示

Enlightenments of Smart Growth for Coastal and Waterfront Communities Towards Waterfront Urban Development in China

张景奇 1孙萍 1纪秀娟 2唐莹1

作者信息

  • 1. 东北大学文法学院,辽宁,沈阳,110004
  • 2. 辽宁商贸职业学院,辽宁,沈阳,110161
  • 折叠

摘要

Abstract

The principles and ten elements of smart growth for coastal and waterfront communities arised in Sept.2009 by NOAA according to the principles of smart growth.With more influencing factors of ' water' , it is different from the traditional smart growth and a new concept of coastal and waterfront urban development planning.Challenges and opportunities coexist with each coastal and waterfront community because of the ' water'.Planning with these principles can help communities make efficient investments, reduce hazards and expenses of the environment and resources, preserve open space, restore critical environmental areas, and protect public health.These principles are effective to new communities as well as to the existing communities, and they also promote waterfront revitalization.It has been found that these principles and elements help guide growth and development in coastal and waterfront communities that have a clear vision for their future and understand the values they want to sustain.Due to smart growth theory's superiority of urban sustainable development and its specificity of protecting environment while developing economy, it is also adaptive in China.The principles, tools and techniques of smart growth for coastal and waterfront communities should be used together to support a comprehensive approach to achieve multiple community goals, thereby it can bring significant enlightenments for the waterfront urban development in China.

关键词

岸边社区/精明增长/城市发展

Key words

waterfront community/ smart growth/ urban development

分类

军事科技

引用本文复制引用

张景奇,孙萍,纪秀娟,唐莹..岸边社区精明增长理论对中国沿岸城市发展的启示[J].中国人口·资源与环境,2011,21(1):33-37,5.

中国人口·资源与环境

OA北大核心CSSCICSTPCD

1002-2104

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