LINEAR MOBILITY CORRIDORS: Spatio Temporal Profiling

This multivariate analysis decodes how different demographic cohorts engage with the corridor across daily temporal rhythms. Each data node compresses multiple behavorial layers. Visit frequency, spatial motivation, catchment radius, and modal split into a unified comparative framework to reveal underlying urban mobility patterns. Interact with specific profiles to isolate targeted spatial behaviours and travel thresholds.

Cell Encoding

Frequency — Rect Height

Visit Reason — Sector Color

ExerciseCommuteLeisurePassing ThroughOther

Travel Mode — Rect Color

Walk / RunBicycleCar / MotorcyclePublic TransitGrab / Taxi

Distance — Rect Fill

Hover over a matrix cell to see details.

SUMMARY OF VISUALIZED PATTERNS

The data reveals a highly localized, pedestrian dominated (90%) mobility corridor anchored by evening utilization across all age groups. Distinct generational difference emerge within the matrix: the 40-49 cohort drives absolute peak frequency (6.8 visits/week), while spatial motivation shifts dynamically from commuting among younger demographics (18-34) to exclusive all day exercise for senior users (70+). Notably, site engagement demonstrates structural gender parity, diverging only through a slight female skew during mid life morning routines.

Group By (X-Axis)

Measure (Y-Axis)