Effect of street trees shade on perceived thermal comfort in a south temperate climate: The sidewalks of Montevideo (Uruguay)

被引:5
作者
Terrani, Emilio [1 ]
Piccion, Alicia [2 ]
Bentancur, Oscar [3 ]
Cruz, Gabriela [1 ]
机构
[1] Univ Republica, Fac Agron, Dept Sistemas Ambientales, Ave E Garzon 780, Montevideo 12900, Uruguay
[2] Fac Arquitectura Diseno & Urbanismo, Dept Clima & Conft, Bulevar Gen Artigas 1031, Montevideo 11200, Uruguay
[3] Univ Republica, Fac Agron, Dept Biometria Estadist & Comp, Ave E Garzon 780, Montevideo 12900, Uruguay
关键词
Climate change; Multivariable analysis; Thermal physical parameters; Thermal perception; Urban microenvironment; BEHAVIOR;
D O I
10.1016/j.heliyon.2024.e32762
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The use of vegetation in cities is one of the most promising strategies for urban climate change adaptation and mitigation. Tree shade influences heat storage from surfaces reducing long wave radiation emission which directly affects people. People 's heat perception depends more on insolation and the temperature of surrounding objects than on air temperature itself. There is a need for analyzes that include the combined effects of physical and human variables on thermal comfort, as well as location -based studies to address its climatic and social conditions. In order to compare the effect of the trees on microenvironmental temperature and perceived thermal comfort, we measured physical parameters and performed structured interviews on three downtown streets of Montevideo, Uruguay, which had sections with and without trees on four dates during the summer. Generally, people surveyed under both treatments stated they did not feel fully comfortable due to summer heat, but the proportion of people who stated feeling in thermal comfort under tree shade was more than double than the unshaded sections. The seasonal ARIMA analysis supported that the tree shade reduced the microenvironmental temperature by its effect on radiant temperature. By using a statistical decision tree methodology that combines all the variables in the same analysis, we found a greater impact of physical variables than personal variables on people 's thermal comfort and thermal preferences. We also identified gender as a significant variable that affects people 's thermal preferences, where 46.4 % of females preferred a slightly colder environment.
引用
收藏
页数:12
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