Building a Digital Twin for British Cities
Michael Batty, Richard Milton

TL;DR
This paper presents a digital twin platform for over 8000 urban locations in Great Britain, enabling large-scale spatial interaction modeling to analyze infrastructure impacts and scenario testing across different regions and modes of travel.
Contribution
The paper introduces a scalable digital twin system for UK cities that integrates multi-modal transport data and allows for scenario analysis and spatial representation experiments.
Findings
Model accurately reproduces baseline trip flows
Spatial representation significantly affects model performance
Platform supports scenario testing for rail infrastructure impacts
Abstract
Ever faster computers are enabling us to extend our standard land use transportation interaction (LUTI) models to systems of cities within which individual cities compete for resources within the wider environment in which they interact.As we scale up in this way, we are able to simulate and measure the impacts of large-scale infrastructures at different spatial levels.Here we build a platform, which is essentially a digital twin, for over 8000 urban places in Great Britain where we can rapidly model all flows between these locations using multi-modal spatial interaction models.We first present the structure of the model and then apply it to population, employment and trip flow data for three modes of travel (road, bus and rail) between small spatial units defining the three countries, England, Scotland and Wales.We then tune and train the model to reproduce a baseline, and follow this…
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Taxonomy
TopicsTransportation Planning and Optimization
