The long-term impacts of cooperative, connected, and automated mobility on passenger transport

The aim of the LEVITATE project is to prepare a new impact assessment framework to enable policymakers to manage the introduction of connected and automated transport systems, maximise the benefits and utilise the technologies to achieve societal objectives. As part of this work the LEVITATE project seeks to forecast societal level impacts of cooperative, connected, and automated mobility (CCAM). This report aims to provide an analysis of the long-term impacts of CCAM on a variety of passenger transport related policy interventions, termed as sub-use cases (SUC) in this document. The long-term impacts analysed include demand for parking spaces, road safety, energy efficiency, emissions, public health, accessibility in transport, and commuting distances. Based on the review of scientific literature, industrial/political roadmaps, discussions with city officials and industry professionals, and backcasting city dialogues, a list of key policy interventions (SUC) was developed to be tested through different methods. These include road use pricing, provision of dedicated lanes on urban highways, parking space regulations, parking price policies, automated ridesharing, and green light optimal speed advisory (GLOSA) system. The methodologies for analysing the impacts of the studied interventions were selected based on their feasibility and adequacy in examining the long-term impacts.