Autonomes Fahren und Stadtstruktur

Heinrichs, Dirk

doi:10.1007/978-3-662-45854-9_11

Cited by 18 publications

(17 citation statements)

References 5 publications

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“…A willingness of some commuters to travel further, for example, could encourage sprawl (Ewing, 2003), and in the process increase energy consumption and income-based segregation (Johnson, 2001). Design choices planners make with regard to the allocation of street space, meanwhile, will ultimately govern interactions between different modes (Heinrichs, 2015). AVs also have the potential to reduce the need for parking as a result of a shared-travel-induced reduction in car trips and a redistribution of vehicles elsewhere to park themselves.…”

Section: Understanding the Potential Impacts Of Autonomous Vehiclesmentioning

confidence: 99%

Are Cities Prepared for Autonomous Vehicles?

Freemark¹,

Hudson²,

Zhao³

2019

Journal of the American Planning Association

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Problem, Research Strategy, and Findings: Local government policies could impact how autonomous vehicle (AV) technology is deployed. This paper examines how municipalities are planning for AVs, identifies local characteristics that are associated with preparation, and describes what impacts bureaucrats expect from the vehicles. We review existing plans of the United States' 25 largest cities and survey transportation and planning officials from 120 cities, representative of all municipalities with populations larger than 100,000. First, we find that few local governments have commenced planning for AVs. Second, cities with larger populations and higher population growth are more likely to be prepared. Third, while local officials are optimistic about the technology and its potential to increase safety while reducing congestion, costs, and pollution, more than a third of respondents worried about AVs increasing vehiclemiles traveled and sprawl while reducing transit ridership and local revenues. Those concerns are associated with greater willingness to implement AV regulations, but there is variation among responses depending on political ideology, per-capita government expenditures, and population density.

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Section: Understanding the Potential Impacts Of Autonomous Vehiclesmentioning

confidence: 99%

Are Cities Prepared for Autonomous Vehicles?

Freemark¹,

Hudson²,

Zhao³

2019

Journal of the American Planning Association

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“…This research is a first attempt to explore such impacts of autonomous vehicles at a large scale, here for Switzerland. By 15 studying how autonomous vehicles change the accessibility levels [25] of the Swiss municipalities, it builds upon previous research [6,26] by offering further insights on the shape of future AV-cities and the prospects of public transportation. 20 To date, only few attempts have been made to study the impact of autonomous vehicles on accessibilities.…”

Section: Introductionmentioning

confidence: 99%

Autonomous vehicles: The next jump in accessibilities?

Meyer

Becker

Bösch

2017

Research in Transportation Economics

304

134

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Autonomous vehicles are expected to offer a higher comfort of traveling at lower prices and at the same time to increase road capacity -a pattern recalling the rise of the private car and later of motorway construction. Using the Swiss national transport model, this research simulates the impact of autonomous vehicles on accessibility of the Swiss municipalities. The results show that autonomous vehicles could cause another quantum leap in accessibility. Moreover, the spatial distribution of the accessibility impacts implies that autonomous vehicles favor urban sprawl and may render public transport superfluous except for dense urban areas.

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“…Zusammenfassend lässt sich feststellen, dass sich avF in dichten innerstädtischen Quartieren mit einer hohen Anzahl Radfahrenden, wenn sich diese frei im Straßenraum bewegen, an deren Geschwindigkeit anpassen müssen. Bei Straßentypen, die von einer hohen Anzahl an unterschiedlichen Verkehrsteilnehmenden frequentiert werden, sind baulich getrennte Radwege für avF die einzige Möglichkeit, um autonom die zulässige Geschwindigkeit erreichen zu können (Taub 2019, Heinrichs 2015. Gründe hierfür sind die gesetzlichen Abstandsregeln beim Überholen sowie die Schwierigkeit für avF, Bewegungen von Radfahrenden vorauszusehen (Randelhoff 2017, Mingels 2019…”

Section: Kriterien Für Die Drivability Von Automatisierten Und Vernetzten Fahrzeugen In Der Interaktion Mit Radfahrendenunclassified

Integration des Radverkehrs in zukünftige urbane Verkehrsstrukturen mit automatisierten und vernetzten Fahrzeugen

Eichholz

Kurth

2021

AVENUE21. Politische Und Planerische Aspekte Der Automatisierten Mobilität

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ZusammenfassungEine der größten Herausforderungen für die Entwicklung von automatisierten und vernetzten Fahrzeugen (avF) ist es zur Zeit, Bewegungen von anderen Verkehrsteilnehmenden vorauszusehen (Kahn 2018, Mingels 2019). Der ehemalige CEO von Renault-Nissan-Mitsubishi, Carlos Ghosn, wird in Bezug auf Radverkehr und die fortschreitende Automatisierung von Kraftfahrzeugen (Kfz) mit den Worten zitiert: „One of the biggest problems is people with bicycles […], [they] don’t respect any rules usually […] from time-to-time they behave like pedestrians and from time-to-time they behave like cars“ (Reid 2018). Diese Aussage verdeutlicht die Konflikte, die durch ein Aufeinandertreffen zweier sowohl im Antrieb als auch in der Fahrweise stark abweichender Verkehrsmittel entstehen können.

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Autonomes Fahren und Stadtstruktur

Cited by 18 publications

References 5 publications

Are Cities Prepared for Autonomous Vehicles?

Are Cities Prepared for Autonomous Vehicles?

Autonomous vehicles: The next jump in accessibilities?

Integration des Radverkehrs in zukünftige urbane Verkehrsstrukturen mit automatisierten und vernetzten Fahrzeugen

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