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欧洲机场区域内的机场选址:基于区域道路网络和土地利用数据的五种类型划分。

Airport location in European airport regions: Five typologies based on the regional road network and land use data.

作者信息

Mashhoodi Bardia, van Timmeren Arjan

机构信息

Department of Urbanism, Faculty of Architecture and The Built Environment, Delft University of Technology, Delft, Netherlands.

出版信息

Data Brief. 2020 Feb 24;29:105317. doi: 10.1016/j.dib.2020.105317. eCollection 2020 Apr.

DOI:10.1016/j.dib.2020.105317
PMID:32154351
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7057147/
Abstract

Describing the location of an airport within a region, the vocabulary of urban studies is often dominated by ill-defined terms such as urban fringe, centre, suburb, corridors, etc. The dataset presented by this manuscript aims to provide a basis to describe and compare the location of 76 major European airports within their respective urban regions. The dataset consists of seven types of data: Betweenness centrality of major roads at 45 km radius of each airport region, population density, distribution of urbanized areas, location of agricultural lands, location of the natural area, and distribution of leisure and industrial sites. Ultimately, employing hierarchical clustering, five typologies of the European airport regions, given the regional location of airport, are identified: (1) Urban airports; (2) Urban periphery airports; (3) Agricultural-area airports; (4) Natural-area airports; (5) Remote airports.

摘要

在描述一个机场在一个区域内的位置时,城市研究的词汇往往被一些定义不明确的术语所主导,如城市边缘、中心、郊区、走廊等。本手稿所呈现的数据集旨在为描述和比较欧洲76个主要机场在其各自城市区域内的位置提供一个基础。该数据集由七种类型的数据组成:每个机场区域半径45公里范围内主要道路的中介中心性、人口密度、城市化区域分布、农业用地位置、自然区域位置以及休闲和工业场所分布。最终,通过层次聚类,根据机场的区域位置,确定了欧洲机场区域的五种类型:(1)城市机场;(2)城市周边机场;(3)农业区机场;(4)自然区机场;(5)偏远机场。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/4aec5e952ece/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/61cb7b718ac8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/2e2613db158f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/473c81b59a72/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/07f139ff8ef5/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/e800759c18f7/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/93fdb0ae1798/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/15fb440d00a2/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/4aec5e952ece/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/61cb7b718ac8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/2e2613db158f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/473c81b59a72/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/07f139ff8ef5/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/e800759c18f7/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/93fdb0ae1798/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/15fb440d00a2/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ff0/7057147/4aec5e952ece/gr8.jpg

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本文引用的文献

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Spatializing household energy consumption in the Netherlands: Socioeconomic, urban morphology, microclimate, land surface temperature and vegetation data.荷兰家庭能源消耗的空间化:社会经济、城市形态、微气候、地表温度和植被数据。
Data Brief. 2020 Jan 10;29:105118. doi: 10.1016/j.dib.2020.105118. eCollection 2020 Apr.
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Centrality measures in spatial networks of urban streets.城市街道空间网络中的中心性度量
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Mar;73(3 Pt 2):036125. doi: 10.1103/PhysRevE.73.036125. Epub 2006 Mar 24.