Spatial impact of automated driving in urban areas

Abstract

Urban form develops in close feedback with different modes of transportation. The introduction and adoption of automated vehicles (AVs) are expected to have an impact on the development of cities as well, as the use of AVs may, for example, lead to more efficient road use and less need for parking spaces. In order to study those impacts, we developed a geospatially disaggregated system dynamics (SD) model, through the use of subscripts, of the Copenhagen metropolitan region. We used this SD model to explore the consequences of 12 main uncertainties related to the introduction of AVs on urban development and develop future scenarios following the exploratory modelling and analysis methodology. Our analysis led to two distinct scenarios. In one scenario, AVs lead to more vehicle use, which leads to more urban sprawl and more congestion as a consequence. In the other scenario, more shared use of cars leads to less traffic and more open space in the city.

Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature

“…The infrastructure theme was created with six sub-themes: Vehicle-to-Infrastructure (V2I), roadway design, expectations and satisfaction, accessibility, equity, and social justice, charging stations, and safety and comfort standards. These sub themes have been obtained with consideration to previous studies [44,70,73]. The development of AVs and road safety are coupled to infrastructure.…”

“…Extensive travel times and a greater reliance on private automobiles between different city districts can result from urban sprawl, which is characterized by the outward spread of metropolitan centres. The sustainability aspect comes into focus as urban sprawl is recognized as a phenomenon with long-term adverse effects on the environment, society, and the economy [36,73].…”

Autonomes Fahren und soziale Akzeptanz: konzeptionelle Überlegungen und empirische Einsichten

“…im Hinblick auf die Interaktion mit "Robotern", in Bezug auf Sicherheitsfragen, Datenschutz und Cybersicherheit (Fleischer und Schippl 2018). Wenn es darum geht, inwiefern Automatisierung die Entwicklung zu einem nachhaltigeren Verkehrssystem erleichtert, werden sowohl Chancen als auch Risiken gesehen (Legêne et al 2020;Schippl und Truffer 2020;Thomopoulos und Givoni 2015). Beispielsweise argumentieren Fraedrich et al 2017, dass AF den öffentlichen Verkehr entweder auf einen positiven oder in einen negativen Entwicklungspfad bringen können.…”

Innovations in Transport

“…Moreover, the introduction of latent factors as explanatory variables into the regression models indicated that individual-specific characteristics like willingness to take risks and violate traffic rules and trust in AVs can have additional explanatory power in the crossing decisions (Rad et al, 2020). Legêne et al (2020) and Hollestelle (2018) studied the spatial impacts of automated driving. Legêne et al (2020) developed a geospatially disaggregated system dynamics model for the city of Copenhagen and focused on explaining the effects of vehicle automation on the city structure.…”

“…Legêne et al (2020) and Hollestelle (2018) studied the spatial impacts of automated driving. Legêne et al (2020) developed a geospatially disaggregated system dynamics model for the city of Copenhagen and focused on explaining the effects of vehicle automation on the city structure. The analysis led to two distinct scenarios.…”