Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies

Soteropoulos, Aggelos; Berger, Martin; Ciari, Francesco

doi:10.1080/01441647.2018.1523253

Cited by 329 publications

(196 citation statements)

References 27 publications

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“…Within this body of literature, several studies explicitly investigate the impacts of autonomous driving on travel behaviour and land use. Soteropoulos et al (2018) present a systematic review of 37 studies on the topic. The majority of these studies rely on activity-based or agent-based modelling approaches and find that the advent of AVs may lead to increases in vehicle kilometres travelled, lower levels of public transit and active mode use as well as to suburbanisation and urban sprawl.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The majority of these studies rely on activity-based or agent-based modelling approaches and find that the advent of AVs may lead to increases in vehicle kilometres travelled, lower levels of public transit and active mode use as well as to suburbanisation and urban sprawl. Soteropoulos et al (2018) observe that the findings of the considered studies may be sensitive to the underlying modelling assumptions, particularly in regards to the value of time for autonomous driving and the business models under which AVs become available.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Of the studies reviewed by Soteropoulos et al (2018), we highlight three studies that focus on residential location choices. Using a spatial general equilibrium model, Gelauff et al (2017) analyse changes in home and job location as well as in commute mode choice in the context of two automation scenarios in the Netherlands.…”

Section: Literature Reviewmentioning

confidence: 99%

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Autonomous driving and residential location preferences: Evidence from a stated choice survey

Krueger¹,

Rashidi²,

Dixit³

2019

Transportation Research Part C: Emerging Technologies

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This paper seeks to advance the understanding of the potential impacts of autonomous vehicles (AVs) on travel behaviour and land use by investigating stated preferences for combinations of residential locations and travel options for the commute in the context of autonomous automobile travel. Our analysis draws from a stated preference survey, which was completed by 512 commuters from the Sydney metropolitan area in Australia, and provides insights into travel time valuations and demand elasticities in a long-term decision-making context. By and large, the findings of our empirical study suggest that the impact of AVs on travel behaviour and residential location preferences may be relatively modest. We estimate that the mean value of travel time savings (VOT) for commuting by AV is 24.0 AUD/h, while the mean VOTs for commuting by conventional car and public transit are 25.3 AUD/h and 19.0 AUD/h, respectively.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Autonomous driving and residential location preferences: Evidence from a stated choice survey

Krueger¹,

Rashidi²,

Dixit³

2019

Transportation Research Part C: Emerging Technologies

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“…These factors may, to some extent, depend on switching to autonomous vehicles. For example, switching to autonomous vehicles may affect number of vehicles or the total travelled distance (see, e.g., Soteropoulos et al 2018). Nevertheless, for simplicity I will set these issues aside to-in the next sections-further investigate the safety-criterion and safetyargument relative to accident-related safety-requirements.…”

Section: Should Safety Of Autonomous Vehicles Be Reduced Merely To Acmentioning

confidence: 99%

Safety requirements vs. crashing ethically: what matters most for policies on autonomous vehicles

Lundgren

2020

AI & Soc

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The philosophical-ethical literature and the public debate on autonomous vehicles have been obsessed with ethical issues related to crashing. In this article, these discussions, including more empirical investigations, will be critically assessed. It is argued that a related and more pressing issue is questions concerning safety. For example, what should we require from autonomous vehicles when it comes to safety? What do we mean by 'safety'? How do we measure it? In response to these questions, the article will present a foundation for a continued discussion on these issues and an argument for why discussions about safety should be prioritized over ethical concerns related to crashing.

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“…The emergence of AVs has the potential to reduce crashes, ease congestion, © 2019 Computer-Aided Civil and Infrastructure Engineering and increase energy efficiency, particularly considering car sharing. AVs could completely change mobility in the coming decades (Soteropoulos, Berger, & Ciari, 2019). As AVs can drive themselves on roads and automatically navigate multiple types of traffic environment contexts, direct human inputs are no longer needed to complete daily trips.…”

Section: Introductionmentioning

confidence: 99%

A network traffic assignment model for autonomous vehicles with parking choices

Zhang

Liu

Waller

2019

Computer aided Civil Eng

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This article is the first in the literature to investigate the network traffic equilibrium for traveling and parking with autonomous vehicles (AVs) under a fully automated traffic environment. Given that AVs can drop off the travelers at their destinations and then drive to the parking spaces by themselves, we introduce the joint equilibrium of AV route choice and parking location choice, and develop a variational inequality (VI)‐based formulation for the proposed equilibrium. We prove the equivalence between the proposed VI model and the defined equilibrium conditions. We also show that the link flow solution at equilibrium is unique, even though both the route choices and parking choices are endogenous when human‐occupied AV trips (from origin to destination) and empty AV trips (from destination to parking) are interacting with each other on the same network. We then develop a solution methodology based on the parking‐route choice structure, where we adjust parking choices in the upper level and route choices in the lower level. Numerical analysis is conducted to explore insights from the introduced modeling framework for AV network equilibrium. The results reveal the significant difference in network equilibrium flows between the AV and non‐AV situations. The results also indicate the sensitivity of the AV traffic pattern to different factors, such as value of time, parking pricing, and supply. The proposed approach provides a critical modeling device for studying the traffic equilibrium under AV behavior patterns, which can be used for the assessment of parking policies and infrastructure development in the future era of AVs.

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Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies

Cited by 329 publications

References 27 publications

Autonomous driving and residential location preferences: Evidence from a stated choice survey

Autonomous driving and residential location preferences: Evidence from a stated choice survey

Safety requirements vs. crashing ethically: what matters most for policies on autonomous vehicles

A network traffic assignment model for autonomous vehicles with parking choices

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