Impact of learning city networks on multi-level urban development and transformation processes

IF 0.4 Q4 GEOGRAPHY
Andrea Jonas, André Mueller
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引用次数: 0

Abstract

Learning city networks are real-time laboratories related to national and local urban development policies. In order to support learning city networks, the Federal Institute for Research on Building, Urban Affairs and Spatial Development (BBSR) together with the Federal Ministry of Housing, Urban Development and Building (BMWSB), the U.S. Department of Housing and Urban Development (HUD), the German Marshall Fund of the United States (GMF), the Deutsche Gesellschaft für internationale Zusammenarbeit (GIZ), and partner cities have developed and further enhanced the multi-level D4UC (Dialogues for Urban Change) Method since 2012. This method makes an international exchange on the specificities of urban transformation processes, based on purposeful projects, possible for participating cities. The article discusses methods and lessons learned and is framed within a theoretical background of learning networks.
学习型城市网络对多层次城市发展和转型进程的影响
学习型城市网络是与国家和地方城市发展政策相关的实时实验室。为了支持学习型城市网络,联邦建筑、城市事务和空间发展研究所(BBSR)与联邦住房、城市发展和建设部(BMWSB)、美国住房和城市发展部(HUD)、美国德国马歇尔基金会(GMF)、德国国际合作机构(GIZ)以及合作城市自 2012 年起开发并进一步强化了多层次的 D4UC(城市变革对话)方法。该方法使参与城市能够在有目的的项目基础上就城市转型过程的特殊性进行国际交流。文章以学习网络为理论背景,讨论了相关方法和经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.90
自引率
16.70%
发文量
7
审稿时长
20 weeks
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