Custom Geospatial Cohort & Dwell-Time Modeling

Macroscopic Spatial Intelligence

While micro-audits focus on individual venue thresholds, Custom Geospatial Cohort & Dwell-Time Modeling examines large-scale mobility patterns across entire metropolitan areas, provinces, or logistics networks. Understanding how different user segments navigate between residential districts, employment centers, transit interchanges, and retail hubs is critical for strategic expansion and route optimization.

Our practice leverages discrete global spatial binning systems (such as Uber H3 hexagonal indexes and Google S2 spherical geometry) to model aggregated, privacy-safe mobility matrices without tracking individual private addresses.

Key Analytical Capabilities

1. Origin-Destination (O-D) Movement Matrices: We construct directional movement graphs showing peak-hour commuter migration, weekend leisure dispersion, and inter-city travel corridors across selected provinces.

2. Spatial Retention & Regional Affinity Cohorts: We calculate return frequency indices and multi-venue affinity scores (e.g., probability that visitors to District A also visit Venue B within a 72-hour window).

3. Temporal Dwell Heat Stratification: We map hourly dwell patterns across commercial and civic zones, helping operators align operational hours, delivery staging hubs, and staffing schedules with true physical density.

4. Transit Corridor Friction & Detour Analysis: We identify spatial bottlenecks where average transit speed drops significantly below free-flow highway expectations.

Project Deliverables

• Spatial Cohort Interactive Dossier: Comprehensive regional mobility findings with layered thematic maps and statistical breakdown by time-of-day and day-of-week.
• H3 Hexagonal Spatial Datasets (GeoJSON / CSV): Standardized, binned mobility matrices formatted for easy integration into your internal GIS or business intelligence workflows.
• Strategic Expansion Executive Briefing: Practical recommendations regarding candidate locations for retail branch openings, dark stores, or transit staging nodes based on verified spatial density.

Turnaround & Investment

• Timeline: 3 to 4 weeks depending on geographic boundaries and dataset volume.
• Project Investment: Starting at 180,000 THB for a single metropolitan region study.