Analyzing foot traffic patterns to improve accessibility in Singapore (metrics)

Analyzing foot traffic patterns to improve accessibility in Singapore (metrics)

Frequently Asked Questions

By understanding how people move, designers can identify bottlenecks and areas needing wider pathways or ramps, improving inclusivity.
Common metrics include pedestrian volume, density, flow rate, and dwell time, often collected via sensors and cameras.
Public datasets may be available from government agencies like the LTA or URA, while private firms offer specialized traffic analysis services.
Identify high-traffic areas and optimize furniture placement to reduce congestion and create a more efficient, accessible workspace.
The Building Control Act and the Code on Accessibility outline specific requirements for ramps, lifts, and other features to ensure inclusivity.
Sensors, cameras, and software platforms can provide real-time data and insights into pedestrian movement, enabling data-driven design decisions.