Enhancing blue-green infrastructure in German cities with the involvement of urban society: insights from Frankfurt/Main and Stuttgart

IF 2.3 Q3 ENVIRONMENTAL SCIENCES
M. Winker, Jutta Deffner, Michael Rohrbach, Engelbert Schramm, Melina Stein
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引用次数: 2

Abstract

Enhancing blue-green infrastructure (BGI) will help cities adapt to climate change. This study focused on urban society, specifically on residents, the housing and real estate sector, and municipal administration in the cities of Frankfurt and Stuttgart, and investigated ways to enhance BGI in line with their perceptions, expectations and requirements. A particular emphasis was placed on periods of hot, dry weather. During future workshops, actor analysis, expert interviews and two expert workshops, the positions, level of knowledge and attitudes of the various groups were examined and barriers to BGI identified, in addition to discussions about measures to overcome these barriers. The results showed that within urban society the greatest support for BGI comes from residents, followed by municipal employees, while actors in the housing and real estate sector are the most reluctant. It became evident that there is a need for action to overcome a range of barriers. Overall, political backing, alliances between stakeholders, encouragement of the housing and real estate sector to take action, and a focus on initiating action in selected urban areas are recommended for successful enhancement of BGI. To ensure maximum impact, there should also be a combination of bottom-up and top-down activities.
在城市社会的参与下加强德国城市的蓝绿色基础设施:来自法兰克福/美因和斯图加特的见解
加强蓝绿色基础设施(BGI)将有助于城市适应气候变化。本研究重点关注城市社会,特别是法兰克福和斯图加特市的居民、住房和房地产部门以及市政管理,并调查了如何根据他们的感知、期望和要求提高BGI。特别强调的是炎热干燥的天气。在未来的研讨会、参与者分析、专家访谈和两次专家研讨会上,除了讨论克服这些障碍的措施外,还审查了各个群体的立场、知识水平和态度,并确定了华大基因的障碍。结果显示,在城市社会中,对华大基因的最大支持来自居民,其次是市政雇员,而住房和房地产行业的参与者最不情愿。显而易见,需要采取行动克服一系列障碍。总体而言,建议政治支持、利益相关者之间的联盟、鼓励住房和房地产部门采取行动,并重点在选定的城市地区启动行动,以成功提高BGI。为了确保最大限度地发挥影响,还应结合自下而上和自上而下的活动。
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
Blue-Green Systems
Blue-Green Systems Multiple-
CiteScore
8.70
自引率
0.00%
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