A model of urban scaling laws based on distance dependent interactions

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorRibeiro, Fabiano L.-
Autor(es): dc.creatorMeirelles, Joao-
Autor(es): dc.creatorFerreira, Fernando F.-
Autor(es): dc.creatorRodrigues Neto, Camilo-
Data de aceite: dc.date.accessioned2026-02-09T12:29:35Z-
Data de disponibilização: dc.date.available2026-02-09T12:29:35Z-
Data de envio: dc.date.issued2018-08-30-
Data de envio: dc.date.issued2018-08-30-
Data de envio: dc.date.issued2017-03-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/30261-
Fonte completa do material: dc.identifierhttp://rsos.royalsocietypublishing.org/content/4/3/160926-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1162383-
Descrição: dc.descriptionSocio-economic related properties of a city grow faster than a linear relationship with the population, in a log–log plot, the so-called superlinear scaling. Conversely, the larger a city, the more efficient it is in the use of its infrastructure, leading to a sublinear scaling on these variables. In this work, we addressed a simple explanation for those scaling laws in cities based on the interaction range between the citizens and on the fractal properties of the cities. To this purpose, we introduced a measure of social potential which captured the influence of social interaction on the economic performance and the benefits of amenities in the case of infrastructure offered by the city. We assumed that the population density depends on the fractal dimension and on the distance-dependent interactions between individuals. The model suggests that when the city interacts as a whole, and not just as a set of isolated parts, there is improvement of the socio-economic indicators. Moreover, the bigger the interaction range between citizens and amenities, the bigger the improvement of the socio-economic indicators and the lower the infrastructure costs of the city. We addressed how public policies could take advantage of these properties to improve cities development, minimizing negative effects. Furthermore, the model predicts that the sum of the scaling exponents of social-economic and infrastructure variables are 2, as observed in the literature. Simulations with an agent-based model are confronted with the theoretical approach and they are compatible with the empirical evidences.-
Idioma: dc.languageen-
Publicador: dc.publisherRoyal Society Publishing-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceRoyal Society Open Science-
Palavras-chave: dc.subjectAgglomeration effects-
Palavras-chave: dc.subjectComplex systems-
Palavras-chave: dc.subjectPower laws-
Palavras-chave: dc.subjectScaling laws-
Palavras-chave: dc.subjectUrban indicators-
Palavras-chave: dc.subjectPublic policies-
Palavras-chave: dc.subjectEfeitos de aglomeração-
Palavras-chave: dc.subjectSistemas complexos-
Palavras-chave: dc.subjectLeis de potência-
Palavras-chave: dc.subjectIndicadores urbanos-
Palavras-chave: dc.subjectPolíticas públicas-
Título: dc.titleA model of urban scaling laws based on distance dependent interactions-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

Não existem arquivos associados a este item.