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Integrated evaluation framework for environmental planning in the context of compact green cities

机译:紧凑型绿色城市背景下的环境规划综合评估框架

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摘要

The research subject of this article is the strategic vision (or Leitbild) “compact city in the ecological network”. This contribution presents a methodology for “multi-criteria assessment of environmental concerns”, to support the evaluation of space-related strategic visions. The city of Dresden serves as a case study area because the official landscape plan is based on this progressive strategic vision. The presented approach combines geostatistical methods (landscape structure metrics, spatial multi-criteria assessment, weighting approaches) and a multitude of data related to environmental concerns. Based on the multi-criteria assessment, an index of landscape functions was calculated, and the ecological network can be differentiated in many aspects by adding environmental concerns. Based on the results, areas with multiple landscape functions can be indicated and areas with a need for action or with potential can be identified in the city area. The use of the insights in urban and environmental planning for densification, in the landscape plan or in comparable planning documents as well as in the concrete area-related planning (neighbourhood scale) can support efforts for compact green cities and prevention of urban sprawl. Moreover beyond the aspect of justification and modification of strategic visions, the methodology presented also offers the potential to provide a basis for newly developing space-related visions and to carry out a multi-criteria assessment of green and open spaces in the context of qualitative densification.
机译:本文的研究主题是“生态网络中的紧凑型城市”的战略构想(或莱特比尔德)。该文稿提出了“对环境问题的多标准评估”的方法,以支持对与空间有关的战略远景的评估。德累斯顿市是一个案例研究区域,因为官方景观规划基于这一渐进的战略构想。提出的方法结合了地统计方法(景观结构度量,空间多准则评估,加权方法)和与环境相关的大量数据。在多标准评估的基础上,计算了景观功能指数,通过增加环境因素可以在许多方面区分生态网络。根据结果​​,可以指示具有多种景观功能的区域,并可以在城市区域中识别需要采取行动或具有潜力的区域。在城市和环境规划中的见解用于致密化,在景观规划中或在可比拟的规划文件中以及在与混凝土区域有关的规划中(邻里规模),都可以为建设紧凑型绿色城市和防止城市蔓延提供支持。除了战略愿景的合理化和修改之外,所提出的方法还提供了潜力,可为新发展的与空间有关的愿景提供基础,并在定性密集化的背景下对绿色和开放空间进行多标准评估。

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