Since 2014
Urban landscape assessment: a perceptual approach combining virtual reality and crowdsourced photo geodata
Aestimum
View Archive Info| Field | Value | |
| Title |
Urban landscape assessment: a perceptual approach combining virtual reality and crowdsourced photo geodata
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| Creator |
Alampi Sottini, Veronica; Department of Agricultural, Food and Forestry System - GESAAF, Università degli Studi di Firenze
Barbierato, Elena; Department of Agricultural, Food and Forestry System - GESAAF, Università degli Studi di Firenze Bernetti, Iacopo; Department of Agricultural, Food and Forestry System - GESAAF, Università degli Studi di Firenze Capecchi, Irene; Department of Agricultural, Food and Forestry System - GESAAF, Università degli Studi di Firenze Cipollaro, Maria; Department of Agricultural, Food and Forestry System - GESAAF, Università degli Studi di Firenze Sacchelli, Sandro; Department of Agricultural, Food and Forestry System - GESAAF, Università degli Studi di Firenze Saragosa, Claudio; Department of Architecture – DIDA, Università degli Studi di Firenze |
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| Description |
The paper focuses on the evaluation of the visual quality of the cityscape of Livorno, in Italy. Using an algorithm based on Flickr’s Application Programming Interface, the coordinates of 7,453 shooting points of a shared photo were downloaded. A direct survey was conducted to assess the perception of urban landscape. The geographical spaces to be evaluated were measured using 78 spherical images played in virtual reality through a virtual reality headset.The data were processed with the Principal Components Analysis. A Visual Quality Index (VQI) was developed to spatialise the results. Saliency maps were calculated to survey typical patterns in areas with high VQI. The results demonstrate how subjective visual perception helps identifying the criteria for the design of high-quality public spaces.
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Aestimum
Aestimum |
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—
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| Date |
2019-03-08
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — — |
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| Format |
application/pdf
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| Identifier |
http://www.fupress.net/index.php/ceset/article/view/24927
http://www.fupress.net/index.php/ceset/article/download/24927/22206 10.13128/Aestimum-24927 |
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| Source |
Aestimum; Aestimum 73 (2018); 147-171
Aestimum; Aestimum 73 (2018); 147-171 1724-2118 1592-6117 |
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| Language |
eng
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| Relation |
10.13128/Aestimum-24927
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| Rights |
The authors retain all rights to the original work without any restrictions.License for Published ContentsYou are free to copy, distribute and transmit the work, and to adapt the work. You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).Licence scheme | Legal codeLicense for MetadataAestimum published articles metadata are dedicated to the public domain by waiving all publisher's rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.Licence scheme | Legal code
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