欧洲城市的分形维数:城市核心区与城市周边环区建成区格局比较

IF 0.3 Q4 GEOGRAPHY CyberGeo-European Journal of Geography Pub Date : 2021-07-23 DOI:10.4000/CYBERGEO.37243
Apostolos Lagarias, P. Prastacos
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引用次数: 2

摘要

本研究使用分形维数对欧洲大城市的城市形态进行了比较。使用不透水性高分辨率层数据集(EEA,2012)中的可用数据计算建成区的分形维数,并根据两种不同的方法进行估计;二元法只考虑两类土地,即已开发土地和未开发土地,而灰度法则明确考虑了用土壤封闭度表示的建成强度。对人口超过100万的60个欧洲城市的分形维数进行了估计。利用《城市地图集》中定义的边界,将功能城区分为两部分,即核心城区和环城区。为这三个空间实体中的每一个计算分形维数。结果表明,在FUA水平上,灰度分维值为1.18-1.55,等效二进制分维值总是更高,值在1.34-1.83之间。这两组分形维数之间以及分形维数与建成区的总体百分比之间存在高度相关性。各地区(英国-爱尔兰、斯堪的纳维亚、中部、南部、东部)的城市也进行了比较。据报道,位于从英国南部到荷兰、比利时、鲁尔区和意大利北部的高度城市化欧洲走廊上的城市在FUA水平上的分形值显著较高,而东欧和斯堪的纳维亚城市则形成了一个分形维数较低的独特群体。另一组具有高FUA分形维数的城市包括南欧沿海城市波尔图、里斯本、那不勒斯和巴塞罗那。在CõRE城市地区,在建筑密集的最大城市(伦敦、巴黎、柏林)中观察到最高的分形值。
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Fractal dimension of European Cities: A comparison of the patterns of built-up areas in the urban core and the peri-urban ring
This study compares the urban form of large European cities using fractal dimensions. Fractal dimensions are computed for built-up areas using data available in the Imperviousness High Resolution Layer dataset (EEA, 2012), and are estimated following two different methodologies; the binary approach which considers only two classes, developed land and non-developed land and the grayscale approach in which the built-up intensity, as expressed by the soil sealing degree is explicitly taken into account. Fractal dimensions are estimated for the 60 European cities with population exceeding one million. Using the boundaries defined in Urban Atlas the functional urban Area (FUA) is divided in two parts, the core of the urban area and the peri-urban ring area. Fractal dimensions are computed for each of these three spatial entities. Results show that the grayscale fractal dimension values at the FUA level are 1.18-1.55 and that the equivalent binary ones are always higher with values between 1.34 and 1.83. There is a high correlation between the two sets of fractal dimensions, as well as between the fractal dimension and the overall percentage of built-up area. Cities are also compared across regions (UK-Ireland, Scandinavia, Central, South, East). Significantly higher fractal values at the FUA level are reported in the cities located on the highly urbanized European corridor spanning from South UK to the Netherlands, Belgium, the Ruhr region and Northern Italy, while East European and Scandinavian cities form a distinct group with lower fractal dimension values.  Another group of cities with high FUA fractal dimensions includes the coastal South European cities Porto, Lisbon, Naples and Barcelona. At the CΟRE urban areas, the highest fractal values are observed in the largest cities (London, Paris, Berlin) which are compactly built-up.
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来源期刊
CiteScore
0.60
自引率
25.00%
发文量
47
审稿时长
17 weeks
期刊介绍: Cybergeo, the electronic European Journal of Geography, is intended to promote faster communication of research and greater direct contact between authors and readers. Created with the aim of encouraging the exchange of ideas, methods and results, it publishes in any european language. It deals with the entire range of geographical concerns and interests, with no preferences for any particular school or theme. A high scientific standard is ensured by submitting articles to an international committee of readers. By hosting discussion and mailing list the journal aims to stimulate open debate and intellectual exchange. Access to the published articles is facilitated by a system of headings and key-words. For as long as is possible, access will be kept unrestricted and free of charge. CYBERGEO is intended as a response to the specific needs of academic communication, by offering the possibility of a rapid exchange of information, immediate feedback on articles and events relevant to geography, on-going discussions, the latest research on specific questions, offers of results or documents, information about the availability of maps, and so on. CYBERGEO aims to be an instrument for networking the geographical community, as well as helping to increase the external visibility of the discipline. In addition to the journal itself, a services heading offers a range of geographical information (data bases, servers, journal summaries, and so on).
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