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All Outputs (3)

Human movement behaviour in urban spaces: Implications for the design and modelling of effective pedestrian environments. (2004)
Journal Article
Willis, A., Gjersoe, N., Havard, C., Kerridge, J., & Kukla, R. (2004). Human movement behaviour in urban spaces: Implications for the design and modelling of effective pedestrian environments. Environment and planning. B, Planning & design, 31(6), 805-828

Despite a burgeoning research effort directed at the design and modelling of effective urban spaces for pedestrians, remarkably little is known about how pedestrians actually negotiate urban spaces. This paper reports the results of a video-based obs... Read More about Human movement behaviour in urban spaces: Implications for the design and modelling of effective pedestrian environments..

Colour and luminance interactions in the visual perception of motion. (2002)
Journal Article
Willis, A., & Anderson, S. J. (2002). Colour and luminance interactions in the visual perception of motion. Proceedings of the Royal Society B: Biological Sciences, 269, 1011-1016. https://doi.org/10.1098/rspb.2002.1985

We sought to determine the extent to which red-green, colour-opponent mechanisms in the human visual system play a role in the perception of drifting luminance-modulated targets. Contrast sensitivity for the directional discrimination of drifting lum... Read More about Colour and luminance interactions in the visual perception of motion..

PEDFLOW: development of an autonomous agent model of pedestrian flow. (2001)
Journal Article
Kukla, R., Kerridge, J., Willis, A., & Hine, J. (2001). PEDFLOW: development of an autonomous agent model of pedestrian flow. Transportation research record, 1774, 11-17. https://doi.org/10.3141/1774-02

The paper discusses the need for an autonomous agent approach for the modeling of pedestrians in urban environments and places PEDFLOW in the context of existing models. PEDFLOW is a microscopic model of pedestrians’ movement, where each pedestrian... Read More about PEDFLOW: development of an autonomous agent model of pedestrian flow..