The DOI matches its Crossref record.
Effects of vegetation, urban density, building height, and atmospheric conditions on local temperatures and thermal comfort
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Integrity signals
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Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Taller buildings result in lower surrounding temperatures.
“A study from Rome, Italy, reported that taller buildings result in lower surrounding temperatures; this can be due to the shading effect of taller buildings at street level.”
From Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies (2022) · cites this paper as [113]
Higher building density can increase the outdoor temperature around buildings.
“However, higher building density can increase the outdoor temperature around the buildings [113].”
From Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies (2022) · cites this paper as [113]
Green spaces help reduce the concentration of particulate matter.
“Further, green spaces also improve air quality via air purification, better circulation efficiency [115-118], and help in reducing the concentration of particulate matter [111-113], which could co-benefit health outcomes [119].”
From Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies (2022) · cites this paper as [113]
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 16
- Alexandri, 2008, Temperature decrease in a urban canyon due to green walls and green roofs in diverse climates, Build. Environ., 43, 480, 10.1016/j.buildenv.2006.10.055 · DOI · Paper page
- Ali-Toudert, 2007, Effects of asymmetry, galleries, overhanging facades and vegetation on thermal comfort in urban street canyons, Solar Energy, 81, 742, 10.1016/j.solener.2006.10.007 · DOI
- Böhm, 1998, Urban bias in temperature time series – a case study for the city of Vienna, Austria, Clim. Change, 38, 113, 10.1023/A:1005338514333 · DOI
- Bruse, 1998, Simulating surface–plant–air interactions inside urban environments with a three dimensional numerical model, Environ. Softw. Modell., 13, 373, 10.1016/S1364-8152(98)00042-5 · DOI
- Fahmy, 2010, LAI based trees selection for mid latitude urban developments: a microclimatic study in Cairo, Egypt, Build. Environ., 45, 345, 10.1016/j.buildenv.2009.06.014 · DOI
- Frazer, 2005, Paving paradise, Environ. Health Perspect., 113, 457, 10.1289/ehp.113-a456 · DOI
- Hasanean, 2001, Fluctuation of surface air temperature in the Eastern Mediterranean, Theor. Appl. Climatol., 68, 75, 10.1007/s007040170055 · DOI
- Krüger, 2011, Impact of urban geometry on outdoor thermal comfort and air quality from field measurements in Curitiba, Brazil, Build. Environ., 46, 621, 10.1016/j.buildenv.2010.09.006 · DOI
- Mariani, 2005, Approccio quantitativo all’analisi degli effetti urbani sul clima, Riv. Ital. Agrometeorol., 31–36
- Petralli, 2006, Ruolo delle aree verdi nella mitigazione dell’isola di calore urbana: uno studio nella città di Firenze, Riv. Ital. Agrometeorol., 51–58
- Santamouris, 2001, On the impact of urban climate on the energy consumption of buildings, Solar Energy, 70, 201, 10.1016/S0038-092X(00)00095-5 · DOI
- Shashua-Bar, 2000, Vegetation as climatic component in the design of an urban street—an empirical model for predicting the cooling effect of urban green areas with trees, Energy Build., 31, 221, 10.1016/S0378-7788(99)00018-3 · DOI
- Taha, 1997, Urban climates and heat islands: albedo, evapotranspiration, and anthropogenic heat, Energy Build., 25, 99, 10.1016/S0378-7788(96)00999-1 · DOI
- Tereshchenko, 2001, Air temperature fluctuations in Guadalajara, Mexico, from 1926 to 1994 in relation to urban growth, Int. J. Climatol., 21, 483, 10.1002/joc.602 · DOI
- Thom, 1959, The discomfort index, Weatherwise, 12, 57, 10.1080/00431672.1959.9926960 · DOI · Paper page
- Yang, 2013, Evaluation of a microclimate model for predicting the thermal behavior of different ground surfaces, Build. Environ., 60, 93, 10.1016/j.buildenv.2012.11.008 · DOI
Cited by
Sorted by citations
Salata, F., Golasi, I., Petitti, D., de Lieto Vollaro, E., Coppi, M., & de Lieto Vollaro, A. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.01.006 · Cited by 400
Galagoda, R. U., Jayasinghe, G. Y., Halwatura, R. U., & Rupasinghe, H. T. (2018) · Urban Forestry & Urban Greening · doi:10.1016/j.ufug.2018.05.008 · Cited by 122
Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies
Sharma, A., Andhikaputra, G., & Wang, Y.-C. (2022) · Atmosphere · doi:10.3390/atmos13050734 · Cited by 87
Metadata
- Authors
- Perini, K., & Magliocco, A.
- Affiliations
- University of Genoa (IT)
- Corresponding author
- Perini, Katia
- Venue
- Urban Forestry & Urban Greening
- Publisher
- Elsevier BV
- Published
- 2014
- Volume
- 13
- Issue
- 3
- Pages
- 495-506
- ISSN
- 1610-8167 (ISSN-L)
- 1618-8667
- OpenAlex
- W2036385699
- Cited by
- 547
- References
- 0
- Citations by year
- 2026: 45 · 2025: 69 · 2024: 59 · 2023: 49 · 2022: 74 · 2021: 63 · 2020: 48 · 2019: 39 · 2018: 35 · 2017: 28 · 2016: 23 · 2015: 14 · 2014: 1
- FWCI
- 16.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Urban forestry & urban greening (publishedVersion)
- CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion)
- Funders
- University of Genoa
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Physical Sciences › Environmental Science › Environmental Engineering › Wind and Air Flow Studies
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Keywords
- urban heat island, outdoor thermal comfort, building density, building height, vegetation cooling, green roofs, ground vegetation, ENVI-met, predicted mean vote, mean radiant temperature, potential temperature, relative humidity, Mediterranean climate, microclimate simulation
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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