Modelling the impact of shared autonomous vehicles on land prices in Clayton, Victoria

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Abstract

This research examines the effect of shared autonomous vehicles (SAVs) on residential land
use in a scenario where SAVs are one of the possible modes of travel. An agent-based simulation approach is proposed to integrate the land use simulation software, UrbanSim, with an SAV model in the transport simulation software, MATSim. Modelling demonstrates the feasibility of an integrated framework to quantify the extent of impact by SAVs on land values. A suburb located in the southeast Melbourne metropolitan area was used as a case study. Results suggest that SAVs could substantially reduce travel time by eliminating the requirement for parking or need for walking. The reduced travel time changes the accessibility
of properties, resulting in an increment in land prices in these areas of approximately 0.22%. This project demonstrates the need for councils and town planners to consider the effect of AVs on the future demand for land and accessibility to services as part of their provisioning for future needs.
Original languageEnglish
Title of host publicationThe second Bridging Transportation Researchers (BTR) Online Free Conference
EditorsKara Kockelman, Elnaz Irannezhad
Place of PublicationAustralia
PublisherBridgingTransport
Number of pages14
Publication statusPublished - 2020
EventBridging Transportation Researchers Conference 2020 - Virtual, Australia
Duration: 11 Aug 202012 Dec 2020
Conference number: 2nd
https://bridgingtransport.org

Conference

ConferenceBridging Transportation Researchers Conference 2020
Abbreviated titleBTR#2
CountryAustralia
Period11/08/2012/12/20
Internet address

Keywords

  • Shared Autonomous Vehicles
  • Agent-Based Modelling
  • UrbanSim
  • MATSim

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