Adult pedestrian behavior when accompanying children on the route to school

Objective: Pedestrian injuries are a major cause of morbidity and mortality to children, especially boys. Adults serve as pedestrian role models and provide learning opportunities for children when walking to school. The research objectives were to investigate adult pedestrian behavior when accompanying boys and girls. Methods: Behavioral observation of 140 adult pedestrians accompanying 4- to 9-year-old children was done in British residential locations. Observations took place at light-controlled crossings, speed-restricted school safety zones, and mid-block unmarked crossing sites. Behaviors observed included stopping at the curb, waiting at the curb, looking left and right before and during road crossing, holding hands, talking, and walking straight across. Results: In general, adults modeled safe road crossing behaviors. Adult safe behavior scores were higher when accompanying girls than when accompanying boys. No statistically significant differences were found by child age group. The fewest safe pedestrian behaviors were observed at light-controlled crossings. Conclusions: Adult pedestrians behave differently when with boys and girls and at different types of road crossing site. Interventions aimed at reducing pedestrian injuries to children may need to take these different everyday experiences into consideration

Application of Redundancy Analysis for Aerobiological Data

An aerobiological survey was conducted through five consecutive years (2006–2010) at Worcester (England).The concentration of 20 allergenic fungal spore types was measured using a 7-day volumetric spore trap. The relationship between investigated fungal spore genera and selected meteorological parameters (maximum, minimum, mean and dew point temperatures, rainfall, relative humidity, air pressure,wind direction) was examined using an ordination method(redundancy analysis) to determine which environmental factors favoured their most abundance in the air and whether it would be possible to detect similarities between different genera in their distribution pattern. Redundancy analysis provided additional information about the biology of the studied fungi through the results of the Spearman’s rank correlation. Application of the variance inflation factor in canonical correspondence analysis indicated which explanatory variables were auto-correlated and needed to be excluded from further analyses. Obtained information will be consequently implemented in the selection of factors that will be a foundation for forecasting models for allergenic fungal spores in the future