Impact of autonomous vehicles on household relocation: An agent-based simulation

Carlos Llorca, Ana Moreno, Ghassan Ammar, Rolf Moeckel

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

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 households who own conventional cars are sensitive to parking availability at their dwelling. As AVs could park themselves anywhere, this sensitivity to parking is reduced for households who own AVs. Distance to work, which serves as a hard constraint for household relocation with conventional cars, becomes less critical for households who use an AV to commute as they may perform other activities while commuting. The induced demand of travel by AV is represented and leads to increased congestion. Several scenarios were designed to analyze the effects of reduced value of time for AV travel, parking restrictions and increase of congestion. The simulation shows that AVs will compete with transit and reduce transit ridership by three quarters. The average commute distance is expected to double, and the vehicle-kilometers traveled will increase by one third. The impact of AVs on the distribution of population, however, is marginal. The urban sprawl caused by less burdensome commuting is largely compensated by the increased attractiveness of core cities in the absence of parking issues for AVs.

Original languageEnglish
Article number103692
JournalCities
Volume126
DOIs
StatePublished - Jul 2022

Keywords

  • Agent-based model
  • Autonomous vehicle
  • Household relocation
  • Integrated transport land use model
  • Urban sprawl

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