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Climate walking and linear mixed model statistics for the seasonal outdoor thermophysiological comfort assessment in Lisbon

2024Artigo científico Acesso aberto
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dc.contributor.authorSilva, Tiago
dc.contributor.authorReis, Cláudia
dc.contributor.authorBraz, Diogo
dc.contributor.authorVasconcelos, João
dc.contributor.authorLopes, António
dc.date.accessioned2024-04-26T14:42:07Z
dc.date.available2024-04-26T14:42:07Z
dc.date.issued2024
dc.description.abstractTo measure urban outdoor pedestrian thermophysiological comfort mobile roving missions were conducted in all seasons of the year during the day and at night. Six routes were chosen, representing areas of the city with varying urban morphological layouts. The thermal comfort conditions were analysed using the Local Climate Zone spatial scale. This enabled the identification of typologies of areas where pedestrians might feel (un)comfortable. To achieve the proposed objectives, quantitative and qualitative analysis were run, namely a Linear Mixed-Effect Model. This model was useful to understand the thermal behaviour of the roved areas by comparison to a reference area. The city was found to be generally cooler, except at night when it can have a 44% increased UTCI. Most collected values throughout the year had ‘no thermal stress’, except in the summer when ‘moderate’ and ‘strong heat stress’ was predominant. Compact and large low rise urban areas were found to be the most uncomfortable. Significant amplitudes were found in some LCZs, reaching as high as 7 ◦C in some scenarios. Sparsely wooded areas exhibited higher values in all seasons and at night, except in the summer. This showed that for a local heat stress analysis a higher resolution scale is needed.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, T., Reis, C., Braz, D., Vasconcelos, J., & Lopes, A. (2024). Climate walking and linear mixed model statistics for the seasonal outdoor thermophysiological comfort assessment in Lisbon. Urban Climate, 55, 101933. https://doi.org/10.1016/j.uclim.2024.101933pt_PT
dc.identifier.doi10.1016/j.uclim.2024.101933pt_PT
dc.identifier.issn2212-0955
dc.identifier.urihttp://hdl.handle.net/10451/64587
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationUI/BD/152225/2021pt_PT
dc.relationeMOTIONAL CITIESpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2212095524001299?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectLocal climate zonespt_PT
dc.subjectUniversal thermal climate indexpt_PT
dc.subjectRoving missionspt_PT
dc.subjectUrban climatept_PT
dc.titleClimate walking and linear mixed model statistics for the seasonal outdoor thermophysiological comfort assessment in Lisbonpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage101933pt_PT
oaire.citation.titleUrban Climatept_PT
oaire.citation.volume55pt_PT
person.familyNameSilva
person.familyNameReis
person.familyNameVasconcelos
person.familyNameLopes
person.givenNameTiago
person.givenNameCláudia
person.givenNameJoão
person.givenNameAntónio
person.identifier2030048
person.identifier216928
person.identifier.ciencia-id931A-D4BB-0152
person.identifier.ciencia-idFD1C-99FA-F339
person.identifier.ciencia-idBA11-D3C0-14C3
person.identifier.ciencia-id1D15-FB93-4687
person.identifier.orcid0000-0001-6018-783X
person.identifier.orcid0000-0002-0829-2402
person.identifier.orcid0000-0002-2818-5188
person.identifier.orcid0000-0002-9357-7639
person.identifier.ridO-1104-2013
person.identifier.ridF-3217-2010
person.identifier.scopus-author-id57224844436
person.identifier.scopus-author-id57190369538
person.identifier.scopus-author-id55951850000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicatione48e814c-e0f2-4288-a238-a60e3ade82ec
relation.isAuthorOfPublication5298128b-00cd-4b21-bdec-6672968dc5cd
relation.isAuthorOfPublication6a208ce2-ebe0-4cc4-9b88-e4fd994733e3
relation.isAuthorOfPublication5ec106ce-350f-4b1b-aed6-1acd9f11f7f1
relation.isAuthorOfPublication.latestForDiscoverye48e814c-e0f2-4288-a238-a60e3ade82ec

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