How effective are regions in determining urban spatial patterns? Evidence from Germany
How effective are regions in determining urban spatial patterns? Evidence from Germany
复制标题
区域在确定城市空间格局方面的有效性如何？
DOI：
10.1080/07352166.2017.1360741
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发表时间：
2018
影响因子：
2.1
通讯作者：
S. Fina
中科院分区：
文献类型：
--
作者：
Stephan Schmidt;S. Siedentop;S. Fina
摘要尽管德国的规划框架高度组织化和制度化，但各地区被广泛认为是最具变化性和实验性的规划层，在组织构成、战略目标和管理能力方面差异很大。本研究探讨了德国地区级规划在解释城市空间结构和城市发展模式中的作用。我们的分析单位包括德国的114个规划区。我们将城市结构和密度在2个时间段内的变化建模为一些人口，地理，政治经济和政策变量的产物。我们利用2006年和2012年CORINE土地覆盖数据集的数据。此外，我们还使用了联邦建筑和区域研究办公室的Raumordnungsplan-Monitor（ROPLAMO）数据集，这是一个独特的数据集，使我们能够根据各地区增长管理政策的相对限制性对各地区进行排名。我们发现，地区在解释城市化率方面并不是特别有效。相反，中心地系统，一个指导土地利用决策的规划框架，以及一个地区是否位于东部是解释城市空间结构的最重要因素。
ABSTRACT Despite a highly organized and institutionalized planning framework, regions in Germany are widely considered the most variable and experimental layer of planning and vary quite extensively in terms of their organizational composition, strategic purpose, and administrative competencies. This research examines the role of German regional-level planning in explaining urban spatial structure and urban development patterns. Our unit of analysis consists of the 114 planning regions in Germany. We model change in urban structure and density over 2 time periods as a product of a number of demographic, geographic, political-economic, and policy variables. We utilize data from the CORINE land cover data set for the years 2006 and 2012. In addition, we use the Raumordnungsplan-Monitor (ROPLAMO) data set from the Federal Office for Building and Regional Research, a unique data set that allows us to rank regions based on the relative restrictiveness of their growth management policies. We find that regions are not particularly effective in explaining urbanization rates. Instead, the central place system, a planning framework that guides land use decisions, and whether or not a region is located in the east are the most significant factors in explaining urban spatial structure.