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A Digital Twin for urban land use and infrastructure demand forecasting

Authors: Nik Lomax*, University of Leeds
Topics: Population Geography, Urban Geography
Keywords: Digital Twin, population, infrastructure, city
Session Type: Paper
Presentation File: No File Uploaded

Digital Twins are becoming increasingly common for the simulation and exploration of machines and systems. This paper presents work creating a Digital Twin of urban systems, principally those systems associated with land use (in terms of housing and transport) and demand for infrastructure. By coupling a population projection model with a transport and employment model, this work provides scenarios of changing demand and land use patterns for UK cities in the future. SPENSER is a population projection model which provides simulations of future population size and demographic structure at small area scale. SPENSER produced demand data which is used by a second model, QUANT, which simulates the impact of changes in population, employment, and travel costs associated with movements on the transport network in UK Cities. The complex feedbacks between land use and population change are examined in this work and the coupling of models which deal with different parts of the wider system is discussed in further detail. The visualisation of results from these simulations is the focus of a separate part of the project, where design decisions about the communication of information to different stakeholder groups is considered in detail. The presentation will borrow from that work to demonstrate the ways in which different outcomes can be visualised effectively.

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