Cited by 83Transportation and Mobility InnovationsUrban Transport and AccessibilityTransportation Planning and Optimization

Autonomous Driving and Urban Land Use

Open access
Heinrichs, Dirk·2016·Autonomous Driving

Abstract

Mobility, transport and the physical forms of urban areas are closely bound up with each other (Cervero and Kockelman in Transportation Research Part D: Transport and Environment 2(3), 199–219, 1997 ). Urban structure plays an important role when households and businesses make mobility decisions, and to a considerable degree dictates what forms of transport may or may not be taken. Compact city form with high density and mixed use provide good preconditions for short trips and efficient public transportation, promote walking and cycling, and often render daily car use unnecessary. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Registry

Crossref · 10.1007/978-3-662-48847-8_11

Cites

11 of 11 references verified0 citation errors · 0 not checkable

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  • Reliability, comfort, and reduced perceived value of time may encourage long commute distances, contributing to urban sprawl and influencing real-estate values in ex-urban areas.

    “In contrast, reliability, comfort, and reduced perceived value of time may encourage long commute distances, contributing to urban sprawl and influencing real-estate values in ex-urban areas (Heinrichs, 2016; Rubin, 2016; Snyder, 2016).”

    From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Heinrichs, 2016

    Section 11.3.1.2 says greater comfort and more reliable travel times could encourage longer commutes and make suburban locations more attractive, potentially leading to new low-density residential areas. The Introduction (11.1) likewise links less burdensome travel time to living farther from city centers. The paper discusses lower house prices as a factor in households’ choices, but does not say autonomous driving would change real-estate values in ex-urban areas. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • Presence of auto-valet garages will allow more vehicles to be parked and creates the possibility of increasing density of urban core areas by repurposing released parking spaces due to less demand for parking in CBD areas.

    “The presence of auto-valet garages will allow more vehicles to be parked and creates the possibility of increasing density of urban core areas by repurposing released parking spaces due to less demand for parking in CBD areas”

    From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Heinrichs, 2016

    Section 11.3.1.1 says automated garages could fit more vehicles in the same area and identifies high-density city centers as likely places for concentrated parking. Section 11.4 describes potential conversion of space saved from parking to higher-value uses. But the claim joins this garage scenario to falling city-center parking demand, which section 11.3.2.1 discusses in the different context of autonomous taxi fleets; the paper also presents these land-use changes as possibilities rather than certainties. Page numbers are unavailable in our copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • AVs are expected to be operational both as private and as commercial vehicles.

    “AVs are expected to be operational both as private and as commercial vehicle (Heinrichs, 2016; Collingwood, 2017; Wadud, 2017).”

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Cites

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Research works printed but not linked: 5

  1. Apel, D. (2003): Der Einfluss der Verkehrsmittel auf Städtebau und Stadtstruktur. In: Bracher, T. ; Haag, M. ; Holzapfel, H. ; Kiepe, F. ; Lehmbrock, M. ; Reutter, U. (Ed.): HKV -Handbuch der kommunalen Verkehrsplanung (Chapter 2.5.7.1).
  2. Wilson, I. H. (1978): Scenarios. In: Fowles J. und Fowles, R. B. (Ed.): Handbook of Futures Research. Greenwood Pub Group Inc, Westport und London, pp. 225-247.
  3. Angel et al. 2011: Making Room for a Planet of Cities. Lincoln Institute of Land Policy. Cambridge, MA.
  4. Künne, H. D. & Vogt, W. (Ed.): Stadtverkehrsplanung. Grundlagen, Methoden, Ziele. 2. Auflage, Springer-Verlag. Berlin, Heidelberg. pp. 18-28.
  5. Guth, D.; Siedentop, S. & Holz-Rau, C. (2012): Erzwungenes oder exzessives Pendeln? Zum Einfluss der Siedlungsstruktur auf den Berufspendelverkehr. In: Raumordnung und Raumforschung (2012) 70, pp. 485-499. URL: http://link.springer.com/article/10.1007% 2Fs13147-012-0196-5

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Authors
Heinrichs, D.
Affiliations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Corresponding author
Heinrichs, Dirk
Venue
Autonomous Driving
Published
2016
Pages
213-231
OpenAlex
W2466032518
Cited by
83
References
11
Citations by year
2025: 4 · 2024: 11 · 2023: 14 · 2022: 10 · 2021: 10 · 2020: 13 · 2019: 14 · 2018: 6 · 2017: 1
FWCI
16.42
Type
book chapter
Language
en
Open access
Locations
  • Springer eBooks (publishedVersion, cc-by)
  • elib (German Aerospace Center) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
  • Social Sciences › Transportation › Urban Transport and Accessibility
  • Social Sciences › Transportation › Transportation Planning and Optimization
Keywords
autonomous driving, urban land use, compact city, urban form, mixed land use, urban density, mobility decisions, car use, public transport, walking and cycling, short trips

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