城市与特征的相似性方法
A Similarity Approach to Cities and Features
摘要:
确定城市结构的特点是一项重要的任务,因为确定类似的城市可以促进分享各自的经验。在目前的工作中,我们考虑20个欧洲城市从5个各自的国家和可比的人口,每个特征的四个拓扑和一个几何特征。这些城市,然后映射到各自的网络,考虑其成对的相似性,由巧合的方法,其中包括结合Jaccard和优先指数。该方法结合了一个参数α,可以控制具有相同或相反的符号的整体相似性的特征的相对贡献。有趣的是,最大模块化的城市网络得到了一个非标准的参数配置,这表明它不能得到的参数α不采用。模块化程度最高的网络呈现了四个社区,它们与五个国家中的四个直接相关,这不仅证实了所采用的特征和相似性方法的有效性,而且还表明来自同一国家的城市具有惊人的相似性趋势,但与其他国家的城市不同。巧合的方法,然后应用,以调查几个功能组合的效果分别获得的网络,导致一个高度模块化的功能网络包含四个主要的社区,可以被理解为主要的可能模型考虑的城市。
英文摘要:
Characterizing the structure of cities constitutes an important task since the identification of similar cities can promote sharing of respective experiences. In the present work, we consider 20 European cities from 5 respective countries and with comparable populations, each of which characterized in terms of four topological as well as one geometrical feature. These cities are then mapped into respective networks by considering their pairwise similarity as gauged by the coincidence methodology, which consists of combining the Jaccard and interiority indices. The methodology incorporates a parameter alpha that can control the relative contribution of features with the same or opposite signs to the overall similarity. Interestingly, the maximum modularity cities network is obtained for a non-standard parameter configuration, showing that it could not be obtained were not for the adoption of the parameter alpha. The network with maximum modularity presents four communities that can be directly related to four of the five considered countries, corroborating not only the effectiveness of the adopted features and similarity methodology, but also indicating a surprising tendency of the cities from a same country of being similar, while differing from cities from other countries. The coincidence methodology was then applied in order to investigate the effect of several features combinations on the respectively obtained networks, leading to a highly modular features network containing four main communities that can be understood as the main possible models for the considered cities.
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