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Induced Demand: Modelling the Potential Impacts of Automated Vehicles in Zurich

Automated Taxis would likely revolutionize urban mobility. Zapp2Photo/ shutterstock.com
Automated Taxis would likely revolutionize urban mobility. Zapp2Photo/ shutterstock.com

How automated vehicles will affect the transport system and travel behavior is still very much an open research question. A recently completed 2 year project at the Institute for Transport Planning aimed to quantify the future impacts of automated vehicles and car-sharing using both surveys and agent-based simulation of the traffic system of the greater Zurich area. In particular, the research identified how new cost structures and technologies could radically change the balance between private and shared transportation, if the introduction of autonomous vehicles is not suitably managed.

The introduction of automated vehicles is likely to affect the transport system substantially, especially since their use will not require a driver’s license and the travel time can be used in more useful ways. The vehicles can also travel without passengers, creating new opportunities for car-sharing and taxi services.

Automated Taxies Decrease Car Ownership…

For example, taxi services will drop from 2.73 CHF per passenger kilometer to 0.41, once taxis are automated. A taxi ride thus becomes cheaper than using a private vehicle, whose full costs amount to 0.50 CHF per passenger kilometer. On the public transport side, automation presents the opportunity to reduce prices by 50% for local and regional buses, while hardly any changes in long-distance transport (rail) are expected due to the existing cost structures and investment.

The survey results indicated that people will decrease the number of vehicles they own if automated vehicles are only available through taxi services. However, no change in the car ownership rate could be observed once respondents were given the opportunity to purchase their own automated vehicles. Furthermore, it was observed that mostly car users switched to automated modes.

…and Travel Distance

The study uses the agent-based simulation tool MATSim to simulate the daily routines of a large number of virtual travellers on a common transport infrastructure. The simulations for the city of Zurich show again that an automated taxi service will mainly attract customers from private vehicles. If taxi services are added to the existing public transport, shares of «automated public transport» of up to 60% are expected, whereas private car travel is expected to fall from approximately 44% today to 29% (in terms of travel distance) in Zurich.

Automated Private Cars Cause Additional Congestion

If private automated vehicles are also allowed in the city, a different picture emerges: Due to the combination of the high flexibility of the vehicles and the possibility to use the time spent in the vehicle in a more useful manner, this form of mobility is very attractive. Private automated vehicles could generate up to 250,000 additional kilometres of travel per day (+0.5%), while the effect of taxis is much more limited. Hence, introduction of private automated vehicles could lead to a heavy additional burdens on the transport system and additional congestion, if their introduction is not suitably managed.

The project was funded by the Schweizerische Vereinigung für Verkehrsingenieure. The report will be available on mobilityplatform.ch by the end of 2018.

Felix Becker is a PhD student at the Institute of Transport Planning and Systems (IVT), where he focuses on Discrete Choice modeling for transport problems. Prior to joining the institute, he obtained a combined master’s degree in business and computer science. He conducted the project together with Sebastian Hörl. The project was lead by Prof. Dr. Kay W. Axhausen, leader of the group for Transport Planning at ETH Zürich.

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This article has been published in the following newsletter edition:

40 | Dezember 2018: Technologie beeinflusst Verhalten / Technology Influences Behaviour

  • Induced Demand: Modelling the Potential Impacts of Automated Vehicles in Zurich
  • Robotic Landscapes: Designing Natural and Robotic Formation Processes in Dynamic Terrains
  • Digital Planning Tools and «Focal Practices»
  • Autonomous Vehicles as Reactivators for Peripheral Areas
  • Führungslose Schweizer Raumentwicklung?
Kurzmeldungen
  • Modelling Place-making to Enable the Transformation of Spaces into Places
  • MntPath – Modelling Future Pathways of Mountain Regions
  • Mobility Pricing
  • Smarte Züge ohne Lokführer
Publikationen
  • disP 54/3, October 2018
  • Soil function assessment for Switzerland
  • Towards an Integrative Approach to Spatial Transformation
  • Sozialraum Hochhaus. Nachbarschaft und Wohnalltag in Schweizer Großwohnbauten
  • Spatial modelling of origin-destination commuting flows in Switzerland
Aktuell
  • MAS, DAS und CAS ETH in Raumplanung 2019/21
  • Summer School in Land-System Science
  • Master of Advanced Studies ETH Urban Design 2019/20
  • Ab 2019 leitet Patrick Bonzanigo den MAS Raumplanung ETH
  • 111 BUNKER. Entdecke das verborgene Zürich!
  • ProbandInnen gesucht – Visualisierungen von Landschaften mit Virtual Reality-Brillen
  • Shareland Doctoral Colloquium

Chairs

Prof. Dr. Bryan T. Adey
Prof. Dr. Kay W. Axhausen
Prof. Dr. Tom Avermaete
Prof. Dr. Francesco Corman
Dr. Jennifer Duyne Barenstein
Prof. Teresa Galí-Izard
Prof. Christophe Girot
Prof. Dr. Adrienne Grêt-Regamey
Prof. Dr. Guillaume Habert
Prof. Dr. David Kaufmann
Prof. Hubert Klumpner
Dr. Anastasios Kouvelas
Prof. Freek Persyn
Prof. Dr. Christian Schmid
Prof. Milica Topalovic
EiR PD Dr. Joris Van Wezemael
Prof. em Dr. h. c. Günther Vogt
ETH Wohnforum – ETH CASE

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