Human Movement Behaviour in Urban Spaces: Implications for the Design and Modelling of Effective Pedestrian Environments
By A. Willis, N. Gjersoe, Catriona Havard, J. Kerridge, R. Kukla. 2004
236 citations recorded by the source corpus.
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 observational study aimed at exploring: (1) individuals' movement preferences within uncluttered environments, in particular: (a) desired walking speed, (b) microscopic position preferences, and (c) interpersonal distances between companions while walking; and (2) the ways in which these variables might be influenced by the various personal, situational, and environmental factors that characterise the context in which pedestrians move. The microscopic movement trajectories of 2613 participants were investigated in a covert, video-based observational study of three mixed-use (residential/retail) urban environments close to the city centres of Edinburgh and York, United Kingdom. Age, gender, level of mobility, group size, time of day, and location were found to have significant effects on movement preferences across the range of locations studied. We concluded that a number of influential factors affect how humans negotiate urban spaces, and suggested how these factors may be taken into account in attempts to design and model effective urban spaces for pedestrians.
Subfields: Building and Construction, Ocean Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/9c5bbdddd9b9430478ba464d87ee08bca554bb76
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In Ocean Engineering
Citations in the corpus
- Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice (2018, background): “Factors such as pedestrians’ demographics [12], road conditions [11], social factors [10], and traffic characteristics [13] are shown to significantly influence pedestrian crossing decisions.”