Automatic Delineation of Urban Growth Boundaries Based on Topographic Data Using Germany as a Case Study
Automatic Delineation of Urban Growth Boundaries Based on Topographic Data Using Germany as a Case Study
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DOI：
10.3390/ijgi10050353
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发表时间：
2021-05-01
影响因子：
3.4
通讯作者：
Meinel, Gotthard
中科院分区：
文献类型：
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作者：
Harig, Oliver;Hecht, Robert;Meinel, Gotthard
城市增长边界（Urban Growth Boundary，UGB）是一种增长管理政策，它指定了增长应该集中的特定区域，以避免城市蔓延。划定边界的目的是保护农业用地、空地和自然环境，以及更有效地利用现有基础设施和公共服务。由于住区固有的异质性和复杂性，德国的UGB目前由专家手动创建。因此，每个数据集都与特定的区域、调查期和专门用途相关联。显然，需要自动创建最新的、同类的、有意义的和具有成本效益的划定，以避免这种对手动或半自动生成的划定的依赖。在这里，我们提出了一个聚合的方法来产生UGB使用建筑物的足迹和一般可用的地形数据作为输入。它被应用于研究领域在法兰克福/美因，汉诺威地区和农村勃兰登堡，同时充分考虑到德国的规划和法律的框架的空间发展。我们的方法是能够弥补现有的UGB数据的弱点，并显着提高UGB在德国的准确性。因此，它是一个宝贵的工具，为未来的研究产生基本数据。通过将所采用的参数区域化，也可以在其他地方应用。
Urban Growth Boundary (UGB) is a growth management policy that designates specific areas where growth should be concentrated in order to avoid urban sprawl. The objective of such a boundary is to protect agricultural land, open spaces and the natural environment, as well as to use existing infrastructure and public services more efficiently. Due to the inherent heterogeneity and complexity of settlements, UGBs in Germany are currently created manually by experts. Therefore, every dataset is linked to a specific area, investigation period and dedicated use. Clearly, up-to-date, homogeneous, meaningful and cost-efficient delineations created automatically are needed to avoid this reliance on manually or semi-automatically generated delineations. Here, we present an aggregative method to produce UGBs using building footprints and generally available topographic data as inputs. It was applied to study areas in Frankfurt/Main, the Hanover region and rural Brandenburg while taking full account of Germany's planning and legal framework for spatial development. Our method is able to compensate for most of the weaknesses of available UGB data and to significantly raise the accuracy of UGBs in Germany. Therefore, it represents a valuable tool for generating basic data for future studies. Application elsewhere is also conceivable by regionalising the employed parameters.