Spatial and welfare effects of automated driving: Will cities grow, decline or both?

Gelauff, George; Ossokina, Ioulia V.; Teulings, Coen N.

doi:10.1016/j.tra.2019.01.013

Cited by 46 publications

(46 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Several simulation-based studies investigating the impacts of autonomous driving on travel behaviour and residential location choices assume that VOT for travel by AV can be discounted at rates of up to 100% relative to VOT for travel by conventional car (see Gelauff et al, 2017;Thakur et al, 2016;Zhang and Guhathakurta, 2018). It is surmised that VOT for travel by AV is lower than VOT for travel by conventional car, because AVs may render car travel less burdensome, in part by enabling productive time use during travel.…”

Section: Discussionmentioning

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. In the first scenario, AVs permit productive time use during long-distance car travel; in the second scenario, AVs enable efficient door-to-door transport.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

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

Krueger¹,

Rashidi²,

Dixit³

2019

Transportation Research Part C: Emerging Technologies

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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

Krueger¹,

Rashidi²,

Dixit³

2019

Transportation Research Part C: Emerging Technologies

View full text Add to dashboard Cite

show abstract

“…In contrast to policy-related documents, which deal partially with Automation (see the previous section), academic research has been increasing its focus on this topic [2]. In particular, many provisional studies have been developed in the last five years, with the scope to shed light on the potential effects of Automation on transport and land use [12]- [15]. These studies may suggest possible ways to integrate AVs into transport planning, since they show how different interpretations, ways of adoption, and measures could lead to alternative results.…”

Section: The Effects Of Automation On Transport and Land Usementioning

confidence: 99%

“…On the other hand, they may support an increase of collective and shared mobility and promote more compact and mixed settlement structures (e.g. Gelauff et al [15]). Ultimately, one of the main drivers able to influence the results is the commitment of public authorities and policy makers, who are called to address this innovation actively by promoting related measures and planning strategies able to foster a more collective-oriented mobility paradigm [3], [4].…”

Section: The Effects Of Automation On Transport and Land Usementioning

confidence: 99%

Automation and Urban Transport Planning: Policy Recommendations and Best Practices

Dianin

Cavallaro

2019

WIT Transactions on Ecology and the Environment

View full text Add to dashboard Cite

Although Automation is expected to play a crucial role in the future development of transport, currently it lacks strong relations with urban mobility planning. Most types of plans such as SUMPs do not include operative references to Automation, overlooking strategic guidelines or useful measures to integrate this theme into the future vision of mobility. Such a lack represents a missed opportunity, since Automation could stimulate a more collective-oriented mobility paradigm and reduce most of the negative externalities generated by transport. The aim of this contribution is to highlight the importance for transport planning to start dealing with this process in a more rigorous way. For this purpose, the potential effects that Automation may have on transport and land use are summarized in three main types of scenarios. Then, a series of goals are identified, policy recommendations are provided, and exemplificative best practices as well as virtuous urban mobility plans are described.

show abstract

“…The cost of public transportation will be reduced, and the flexibility of autonomous vehicles will make up for the lack of regional public transport, giving convenience to travelers. Gelauff et al [36] studied the impact of the emergence of AVs on cities. Autonomous cars decentralize populations, while autonomous public transport centralizes populations.…”

Section: Introductionmentioning

confidence: 99%

Choice Behavior of Autonomous Vehicles Based on Logistic Models

Tan

et al. 2019

Sustainability

View full text Add to dashboard Cite

To understand the public's acceptance of autonomous vehicles, studies were conducted from the perspectives of personal attributes, travel demand and cognitions of autonomous vehicles based on 403 valid questionnaires. Influencing factors of whether travelers are purchasing autonomous vehicles, whether travelers without a driver's license intend to take a driver's license in the future and whether travelers are choosing an autonomous private car if travelers can only take a taxi or drive a private car are analyzed by building Logistic regression models. The results show that personal monthly income, driver's license, driving confidence, preference for autonomous vehicles and convenience of arriving at public transport stations will affect the purchase decision of autonomous vehicles; teenagers, long-distance travelers, students and employees of enterprises and institutions, those who believe that traditional taxis/taxi-hailing are unsafe, and those who lack confidence in driving have a higher probability of choosing autonomous vehicles. This research can be used to predict the probability of future purchase and use decisions for autonomous vehicles based on data from other populations.Sustainability 2020, 12, 54 2 of 16 automation. Vehicles are completely free from the driver's will and manipulate their driving on their own. This paper discusses the L5 level of autonomous driving, i.e., full driving automation.Many people are very supportive of the development of AVs with a series of merits: AVs are safer and can reduce human-induced road traffic accidents [1]; they are faster and can improve road capacity and alleviate urban traffic congestion; they are more environmentally-friendly and can improve fuel efficiency and reduce exhaust pollution [2-8]; they are more comfortable and provide travelers with better travel experience with hands-free [9]. However, there are also some people who are conservative about AVs with a series of drawbacks: AVs will deprive people of the pleasure of driving and may deprive people of driving skills; driverless systems may break down and threaten passengers' safety; and there are hidden dangers of personal privacy leakage in the process of information exchange [10][11][12][13]. In May 2016, a Tesla car in fully automatic driving in the United States collided with a large truck, and in 2018, an Uber autonomous car collided with a pedestrian during a road test, resulting in the pedestrians' death. These accidents caused people's attention and concern about the safety and ethical issues of AVs.With the development of driverless technology, there has been more and more research on AVs [14][15][16][17][18][19][20][21][22][23][24]. In terms of risk perception, Xu and Fan [25] studied the risk perception and insurance demand of AVs in the Chinese market. The results showed that the more people knew about driverless technology, the lower their risk expectations for AVs, and 69% of respondents were willing to pay more for autonomous vehicles' insurance. Wang and Zhao [26] studied the influen...

show abstract

Spatial and welfare effects of automated driving: Will cities grow, decline or both?

Cited by 46 publications

References 20 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

Automation and Urban Transport Planning: Policy Recommendations and Best Practices

Choice Behavior of Autonomous Vehicles Based on Logistic Models

Contact Info

Product

Resources

About