Compare methods

	Urban Vitality Index	Pedestrian Flow Analysis
Field	Urban Studies	Urban Studies
Family	Process / pipeline	Process / pipeline
Year of origin	1961	1995
Originator	Jane Jacobs (conceptual); operationalised by later urban analysts	Dirk Helbing & Péter Molnár (social force model)
Type	Composite descriptive index of urban vitality	Measurement and simulation of pedestrian movement and flow
Seminal source	Jacobs, J. (1961). The Death and Life of Great American Cities. Random House. ISBN: 9780679741954	Helbing, D., & Molnár, P. (1995). Social force model for pedestrian dynamics. Physical Review E, 51(5), 4282–4286.
Aliases	Urban Vitality Measure, Jacobs Vitality Index, Street Vitality Index, Urban Liveliness Index	Pedestrian Movement Analysis, Footfall Analysis, Crowd Flow Modelling, Pedestrian Traffic Analysis
Related	4	4
Summary	The urban vitality index is a composite descriptive measure of how lively, busy and economically active an urban area is, built from the conditions Jane Jacobs argued generate street life. In The Death and Life of Great American Cities (1961), Jacobs identified four generators of diversity — mixed primary uses, short blocks, a mix of building ages, and sufficient density — together producing the foot traffic and 'eyes on the street' that make places vital. The index operationalises these qualities as measurable indicators for each spatial unit, normalises them onto a common scale, and combines them into a single vitality score that can be mapped, compared and tracked over time.	Pedestrian flow analysis measures and models how people move on foot through streets, plazas, transit stations and buildings, combining empirical counts with simulations of individual walking behaviour. It treats walking as a flow phenomenon — characterised by density, speed and volume — while also resolving the micro-scale decisions of individual pedestrians through agent-based and social-force models. Building on the social force model of Dirk Helbing and Péter Molnár (1995), the approach links observed gate counts and flow–density relationships to mechanistic simulations that can predict congestion, evacuation times and the effect of design changes before they are built.