The agent-based land use/transport model SILO/MITO/MATSim is adapted to simulate the
impact of AVs on household relocation. The revised model accounts for the fact that …

The current study is motivated by the need to better understand the potential impacts that
vehicular automation may have on individual decisions of residential and work relocation in …

This study examines the potential changes in residential location choice in a scenario where
shared autonomous vehicles (SAVs) are a popular mode of travel in the Atlanta metropolitan …

Automated vehicles (AVs) have great potential to revolutionize the transportation sector and
landscapes of future cities. The impacts of AVs on urban space, however, are far from clear …

The advent of the autonomous vehicle (AV) will affect not only the transportation system, but
also future patterns of land development. Integrated land use and transportation models will …

Abstract Fully Autonomous Vehicles (AVs) can self-drive in all situations, offering the highest
comfort to drivers, who can pursue several activities during their trips. Under this …

Fully driverless automated vehicles (AVs) could considerably alter the proximity value of
parking, due to an AV's ability to drop passengers off at their destination, search for cheaper …

The emergence of autonomous vehicles is expected to shape the urban transportation
system in various ways. In this study, a large-scale agent-based disaggregate simulation …

The advent of autonomous vehicles (AVs) is likely to introduce new mobility experiences for
travelers. In particular, AVs would allow travelers to get off at the destinations and then drive …

Autonomous vehicles (AVs) can generate major changes in urban systems due to their
ability to use road infrastructures more efficiently and shorten trip times. However, there is …