Eliasson, I., Knezb, I., Westerberg, U., Thorsson, S., & Lindberg, F.
Four urban public spaces, representing various designs and microclimates, were investigated in Gothenburg, Sweden, in order to estimate how weather and microclimate affect people in urban outdoor environments. The research strategy was both multidisciplinary and interdisciplinary and included scientists from three disciplines: architecture, climatology and psychology. The project is based on common case studies carried out during four seasons, including measurements of meteorological variables, interviews and observations of human activity at each place. Multiple regression analysis of meteorological and behavioural data showed that air temperature, wind speed and clearness index (cloud cover) have a significant influence on people’s assessments of the weather, place perceptions and place-related attendance. The results support the arguments in favour of employing climate sensitive planning in future urban design and planning projects, as the physical component of a place can be designed to influence the site-specific microclimate and consequently people’s place-related attendance, perceptions and emotions.
Thermal comfort is an important issue to be considered in the design of urban squares. This study hypothesized that thermal experience can be affected by the perception of spatial structures and materials, which can be influenced by urban design. Therefore, surveys were conducted in three Dutch squares (in Den Haag, Eindhoven and Groningen, respectively) to identify relationships between people’s long-term thermal experience and three factors: width of the square, spatial openness and appearance of materials. The results reveal that all three factors have an influence: Dutch people experience thermal discomfort when spaces are ‘too wide’, ‘too open’ and consist of ‘cold’ materials.
This study examined whether locally felt weather had a measurable effect on the amount of walking occurring in a given locale, by examining the observed walking rate in relation to air temperature, sunlight, and precipitation. Web- based cameras in nine cities were used to collect 6,255 observations over 7 months. Walking volumes and levels of precipitation and sunlight were cap- tured by visual inspection; air temperature was obtained from local meteo- rological stations. A quasi-Poisson regression model to test the relationship between counts of pedestrians and weather conditions revealed that all three weather variables had significant associations with fluctuations in volumes of pedestrians, when controlling for city and elapsed time. A 5°C increase in temperature was associated with a 14% increase in pedestrians. A shift from snow to dry conditions was associated with an increase of 23%, and a 5% increase in sunlit area was associated with a 2% increase.
