A Distance-Based Tool-Set to Track Inconsistent Urban Structures Through Complex-Networks
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Springer
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Abstract
Complex networks can be used for modeling street meshes and urban agglomerates. With such a model, many aspects of a city can be investigated to promote a better quality of life to its citizens. Along these lines, this paper proposes a set of distance-based pattern-discovery algorithmic instruments to improve urban structures modeled as complex networks, detecting nodes that lack access from/to points of interest in a given city. Furthermore, we introduce a greedy algorithm that is able to recommend improvements to the structure of a city by suggesting where points of interest are to be placed. We contribute to a thorough process to deal with complex networks, including mathematical modeling and algorithmic innovation. The set of our contributions introduces a systematic manner to treat a recurrent problem of broad interest in cities.
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Complex network, Network analysis, Urban structure
Language
English
Citation
Computational Science - Iccs 2018, Pt I. Cham: Springer International Publishing Ag, v. 10860, p. 288-301, 2018.
