Abstract
Intelligent mobility is the smarter, greener and more efficient movement of people and goods. Road transport accounted for 24% of global greenhouse gas emissions in 2019. Decarbonising the transport system requires decision-makers to adopt a ‘vision and validate’ approach to promote active and sustainable travel modes and move away from schemes that lock in private vehicle use. Creating a digital twin requires models representing demand for transport, supply of transport options, the network which links origins to destinations and the decisions made by consumers. Mode choice and trip purpose can be inferred using artificial intelligence techniques which incorporate data from the full range of conventional and novel, static and continuous data sources. Digital twins developed on the basis of transparency and inclusion present a unique opportunity to engage with the public in different ways to deliver better outcomes.
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Bishop, J.D.K. (2022). Decarbonising Transport with Intelligent Mobility. In: Inderwildi, O., Kraft, M. (eds) Intelligent Decarbonisation. Lecture Notes in Energy, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-030-86215-2_18
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