First published 10/3/2026, 6:25:15 AM · Last updated 10/3/2026, 6:25:29 AM

Nonlinear transport modal differentiation across urban functional zones: A data-driven study with generalized additive models

Journal article presenting a data-driven study that applies generalized additive models to analyze nonlinear transport modal differentiation across urban functional zones. Publisher listed as Elsevier BV and published on 2026-11-01.

Illustrative image: These vehicles have existed in Senegal for a very long time. In fact it was the most popular in urban and intercity transport before the arrival of the new TATA and Bus. Called fast buses, these have also contributed to the Senegal transport economy. — Babacar Dioum/Wikimedia Commons, CC BY-SA 4.0

Categories: science-and-space, travel-and-transportation

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence: 5/10How certain the assessment is based on the clarity and evidence in the cited reporting.
Geographic reach: 2/10How widely the event reaches, from a local area (1) to worldwide impact (10).
Global importance: 3/10The event's broader significance, from limited importance (1) to major global importance (10).
Impact magnitude: 2/10The scale or severity of the real-world impact, from minor (1) to extreme (10).
Positivity: 7/10How harmful or beneficial the event is, from strongly harmful (1) to strongly positive (10).
Urgency: 2/10How time-sensitive the event is, from low urgency (1) to immediate attention needed (10).

Why it matters

Offers a statistical analysis relevant to understanding differences in transport modes across urban areas.

Sources

Nonlinear transport modal differentiation across urban functional zones: A data-driven study with generalized additive models

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