Planning for gold: identifying opportunities for public transport interventions through machine learning and appraisal automation

Improving public transport connectivity is crucial for decarbonisation and economic growth. Current transport planning approaches to addressing connectivity problems rely on trial-and-error approaches to identify problems and generate options, limited by planners' incomplete knowledge and the o...

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Bibliographic Details
Main Authors: David Arquati, Liam McGrath
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Public Transportation
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1077291X25000219
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