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
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/58028
Title:
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Using street based metrics to characterize urban typologies
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Author:
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Hermosilla, T.
Palomar-Vázquez, Jesús
Balaguer Beser, Ángel Antonio
Balsa Barreiro, José
Ruiz Fernández, Luis Ángel
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UPV Unit:
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Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
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Issued date:
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Abstract:
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[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 ...[+]
[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.
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Subjects:
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Urban morphology
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Urban metrics
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Remote sensing
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High-resolution imagery
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LiDAR
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Classification
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Computers, Environment and Urban Systems. (issn:
0198-9715
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DOI:
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10.1016/j.compenvurbsys.2013.12.002
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Publisher:
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Elsevier
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Publisher version:
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http://dx.doi.org/10.1016/j.compenvurbsys.2013.12.002
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Thanks:
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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 ...[+]
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)
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Type:
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Artículo
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