Assessing the pedestrian experience in public spaces

The assessment of the pedestrian experience in public spaces is increasingly becoming an essential constituent of urban street design. This paper first presents a new methodology for evaluating pedestrian environments through on-street surveys, building upon well-established comprehensive pedestrian audit tools, such as PERS and PEDS. The methodology is applied on the South Kensington area of London, in light of recent redevelopments seeing the conversion of the previous car-oriented layout to a more pedestrian-friendly one. The results suggest that the new design is generally perceived positively by pedestrians, but point out that there may be room for improvement in terms of pedestrian comfort. The results are then further analysed statistically in order to draw generic conclusions and investigate the effects of different aspects of the pedestrian environment on each other with respect to the pedestrian experience. By fitting a series of ordered logistic regression models, a number of interdependences are identified and interpreted

Assessing the pedestrian experience in public spaces

The assessment of the pedestrian experience in public spaces is increasingly becoming an essential constituent of urban street design. This paper first presents a new methodology for evaluating pedestrian environments through on-street surveys, building upon well-established comprehensive pedestrian audit tools, such as PERS and PEDS. The methodology is applied on the South Kensington area of London, in light of recent redevelopments seeing the conversion of the previous car-oriented layout to a more pedestrian-friendly one. The results suggest that the new design is generally perceived positively by pedestrians, but point out that there may be room for improvement in terms of pedestrian comfort. The results are then further analysed statistically in order to draw generic conclusions and investigate the effects of different aspects of the pedestrian environment on each other with respect to the pedestrian experience. By fitting a series of ordered logistic regression models, a number of interdependences are identified and interprete