Accessible, legible and walkable urban spaces, supported by a rich mix of urban uses, cycling routes, public transport and sustainable travel solutions, attract people and encourage activity.
A RUDI one-day event was held as part of the 2009 Transport Modelling Forum:
- to explore a range of approaches, being developed by transport planners, urban designers and academics, that aim to understand how people move around and interact in towns and cities – and how they’d like to
- explain how such understanding can help to create people-friendly, effective and economically viable places that people enjoy using
Presentations include:
Graham Long, Colin Buchanan
Adapting traditional transport-oriented models for pedestrians
Dr Jake Desyllas, Atkins Intelligent Space
What pedestrian modelling means today: a review of the different kinds of modelling now possible with applied examples from Oxford Circus and elsewhere
Jonathon Tricker, Associate Director, Urban Initiatives
The Urban ISM model: assessing street networks and movement patterns. Urban ISM (Integrated Spatial Model) is a suite of software tools and methodologies for integrating the principal elements that make places work. The approach can examine a range of city and neighbourhood scales, assessing urban structure/movement, land use mix/density, social infrastructure and development viability.
Dr Alison Chisholm, Department of Planning, Oxford Brookes University
Understanding walking and cycling through a multi-methods approach which combines spatial network analysis (Multiple Centrality Assessment) and qualitative approaches such as ethnography and audio travel diaries
Eamonn O’Neill, Department of Computer Science, University of Bath, & Cityware project
Advances in mobile and wireless communications have enabled us to detect and record the presence and movement of users and their devices. These data provide a rich source of information for understanding people’s relationship with he city. An analysis of urban Bluetooth data and visualisation techniques can be used to model and make sense of the spatial and temporal patterns of mobility, presence and encounter within these data
