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arXiv · 1803.09136

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

Gabriel Spadon·Bruno B. Machado·Danilo M. Eler·Jose Fernando Rodrigues-Jr
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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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Gabriel Spadon, Bruno B. Machado, Danilo M. Eler, Jose Fernando Rodrigues-Jr. 2018-03-24. A distance-based tool-set to track inconsistent urban structures through complex-networks. https://doi.org/10.1007/978-3-319-93698-7_22

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