Patterns of attendance and thermal conditions on a pedestrian street

This study reports about the area usage of people in the Hungarian city of Szeged in point of view of thermal comfort. The main pedestrian street of the city was chosen to survey the spatial pattern of visitors against the momentary thermal environment and shading conditions. To achieve this, attend...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Égerházi Lilla Andrea
Kántor Noémi
Takács Ágnes
Unger János
Testületi szerző: ICUC8 - 8th International Conference on Urban Climates
Dokumentumtípus: Prezentáció
Kulcsszavak:éghajlat
városi
Tárgyszavak:
Online Access:http://eta.bibl.u-szeged.hu/4389
Leíró adatok
Tartalmi kivonat:This study reports about the area usage of people in the Hungarian city of Szeged in point of view of thermal comfort. The main pedestrian street of the city was chosen to survey the spatial pattern of visitors against the momentary thermal environment and shading conditions. To achieve this, attendance of the street was observed through mapping the seated visitors in every 30 minutes from 10 a.m. to 6 p.m.; moreover it was also marked whether they were exposed to the sun. Besides, key factors of thermal comfort (air temperature, relative humidity, wind velocity) were recorded in every minute on two spots of the pedestrian street – one micro-bioclimate station was placed in the sun, while the other one was permanently shaded by the nearby buildings. Unobstructed global radiation data was obtained from the inner city meteorological station of Szeged. Thermal conditions of the area were quantified by the popular human biometeorological comfort index, Physiologically Equivalent Temperature (PET), calculated by the RayMan software from the above mentioned meteorological parameters. PET was assigned for more than 1000 points of the street according to a 5 m × 5 m grid net, and from these data heat stress maps were created for specific time periods. Comparison of the resulted thermal stress maps with the visitor’s spatial distributions shed light on the patterns of area usage in the different seasons of summer and autumn.
Terjedelem/Fizikai jellemzők:4