Interactive Urban Flow Analysis & Optimization

Couples behavior–network–land-use for explainable spacetime analysis, congestion-source tracing, and a policy sandbox (time shifting / spatial guidance), with evaluation via variance (σ) reduction and y=x reference scatter.

Research Background & Value Link to heading

Behavioral lens: align work-time, employment centers, and grid flows on a unified spatiotemporal coordinate to explain who/when/where congestion emerges
Actionable: two interventions (time-shifting / spatial scaling) with quantitative assessment by variance σ and shifts of scatter relative to y=x
Explainable: per-grid source attribution (centers vs. non-centers) for evidence-based communication with stakeholders

Research Methodology Link to heading

Grid-based spacetime rendering with linked charts and time series per grid
Congestion mining via high-quantile thresholding for peak-hour detection, frequency and persistence
Source attribution by employment-center contribution ratios with hinterland delineation
Policy sandbox: ±30 min time-shift and center scaling (0.0–2.0); compare σ pre/post and the aggregate shift of scatter vs. y=x

Study Area & Data Link to heading

Area: Study area: urban core road grids (extendable to multi-district or metropolitan scale).
Data: Data: grid-based road flows (minute-level or finer), employment-center POIs/regions with intensity, and auxiliary variables (calendar/weather/events). All datasets are harmonized to a common spatial reference and time index for superposition and analysis.

Usage & Scenarios Link to heading

Usage & Workflow Link to heading

(1) Select time window and spatial extent; (2) Filter congested grids via high-quantile thresholds and inspect frequency/persistence; (3) Examine source contributions and hinterlands; (4) In the policy sandbox, set time-staggering (±30 min) and center scaling (0.0–2.0); (5) Export reports with pre/post σ and scatter vs. y=x.

Use Cases Link to heading

Morning-peak diagnosis, local bottleneck tracing, center expansion or de-concentration assessment, optimal time-staggering portfolios, and before/after comparisons for infrastructure proposals.