A distance-based tool-set to track inconsistent urban structures through complex-networks

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...

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Veröffentlicht in:arXiv.org 2018-03
Hauptverfasser: Spadon, Gabriel, Machado, Bruno B, Eler, Danilo M, Jose Fernando Rodrigues-Jr
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Jose Fernando Rodrigues-Jr
description 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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subjects Agglomerates
Computer Science - Computational Engineering, Finance, and Science
Greedy algorithms
Innovations
Networks
Urban planning
title A distance-based tool-set to track inconsistent urban structures through complex-networks
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