- -

Using street based metrics to characterize urban typologies

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Using street based metrics to characterize urban typologies

Show simple item record

Files in this item

dc.contributor.author Hermosilla, T. es_ES
dc.contributor.author Palomar-Vázquez, Jesús es_ES
dc.contributor.author Balaguer Beser, Ángel Antonio es_ES
dc.contributor.author Balsa Barreiro, José es_ES
dc.contributor.author Ruiz Fernández, Luis Ángel es_ES
dc.date.accessioned 2015-11-24T14:09:32Z
dc.date.available 2015-11-24T14:09:32Z
dc.date.issued 2014-03
dc.identifier.issn 0198-9715
dc.identifier.uri http://hdl.handle.net/10251/58028
dc.description.abstract [EN] Urban spatial structures reflect local particularities produced during the development of a city. High spatial resolution imagery and LiDAR data are currently used to derive numerical attributes to describe in detail intra-urban structures and morphologies. Urban block boundaries have been frequently used to define the units for extracting metrics from remotely sensed data. In this paper, we propose to complement these metrics with a set of novel descriptors of the streets surrounding the urban blocks under consideration. These metrics numerically describe geometrical properties in addition to other distinctive aspects, such as presence and properties of vegetation and the relationship between the streets and buildings. For this purpose, we also introduce a methodology for partitioning the street area related to an urban block into polygons from which the street urban metrics are derived. We achieve the assessment of these metrics through application of a one-way ANOVA procedure, the winnowing technique, and a decision tree classifier. Our results suggest that street metrics, and particularly those describing the street geometry, are suitable for enhancing the discrimination of complex urban typologies and help to reduce the confusion between certain typologies. The overall classification accuracy increased from 72.7% to 81.1% after the addition street of descriptors. The results of this study demonstrate the usefulness of these metrics for describing street properties and complementing information derived from urban blocks to improve the description of urban areas. Street metrics are of particular use for the characterization of urban typologies and to study the dynamics of cities. es_ES
dc.description.sponsorship The authors appreciate the financial support provided by the Spanish Ministry of Science and Innovation in the framework of the project CGL2010-19591/BTE, and the data made available by the Spanish Instituto Geográfico Nacional (IGN)
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation MICINN/CGL2010-19591/BTE es_ES
dc.relation.ispartof Computers, Environment and Urban Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Urban morphology es_ES
dc.subject Urban metrics es_ES
dc.subject Remote sensing es_ES
dc.subject High-resolution imagery es_ES
dc.subject LiDAR es_ES
dc.subject Classification es_ES
dc.subject.classification INGENIERIA CARTOGRAFICA, GEODESIA Y FOTOGRAMETRIA es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Using street based metrics to characterize urban typologies es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.compenvurbsys.2013.12.002
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Hermosilla, T.; Palomar-Vázquez, J.; Balaguer Beser, ÁA.; Balsa Barreiro, J.; Ruiz Fernández, LÁ. (2014). Using street based metrics to characterize urban typologies. Computers, Environment and Urban Systems. 44:68-79. doi:10.1016/j.compenvurbsys.2013.12.002 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.compenvurbsys.2013.12.002 es_ES
dc.description.upvformatpinicio 68 es_ES
dc.description.upvformatpfin 79 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 44 es_ES
dc.relation.senia 253064 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación


This item appears in the following Collection(s)

Show simple item record