Integrated models of land use and transportation for the autonomous vehicle revolution

Hawkins, Jason; Habib, Khandker Nurul

doi:10.1080/01441647.2018.1449033

Cited by 71 publications

(37 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, there are scientists who believe that the use of AVs in the context of a demand-responsive and flexible public transport service can enhance urbanisation [34,35]. This is particularly relevant to European cities, where urban development is closely linked to public transport.…”

Section: Value Of Time Accessibility and Location Choicementioning

confidence: 99%

Autonomous Road Vehicles: Challenges for Urban Planning in European Cities

Gavanas

2019

Urban Science

View full text Add to dashboard Cite

Autonomous vehicles will significantly affect mobility conditions in the future. The changes in mobility conditions are expected to have an impact on urban development and, more specifically, on location choices, land use organisation and infrastructure design. Nowadays, there is not enough data for a real-life assessment of this impact. Experts estimate that autonomous vehicles will be available for uptake in the next decade. Therefore, urban planners should consider the possible impacts from autonomous vehicles on cities and the future challenges for urban planning. In this context, the present paper focuses on the challenges from the implementation of autonomous road vehicles for passenger transport in European cities. The analysis is based on a systematic review of research and policy. The main outcome of the analysis is a set of challenges for urban planning regarding the features of urban development, the local and European policy priorities, the current lack of data for planning and the potential for autonomous vehicles to be used by planners as data sources. The paper concludes that tackling these challenges is essential for the full exploitation of the autonomous vehicles’ potential to promote sustainable urban development.

show abstract

Section: Value Of Time Accessibility and Location Choicementioning

confidence: 99%

Autonomous Road Vehicles: Challenges for Urban Planning in European Cities

Gavanas

2019

Urban Science

View full text Add to dashboard Cite

show abstract

“…Here, the evolution of cities has an important role in AVs implementation. However, the transport network and land use have been identified as urban systems with a very slow speed of change and that contributes to prediction models [21]. For this reason, some specific interventions as planning, policy, infrastructure, service provision, and economic instruments should be implemented by government expecting better development of AVs transport instead of self‐contained system's approach [22].…”

Section: Challenges and Opportunities For Developing And Implementimentioning

confidence: 99%

Autonomous road vehicles: recent issues and expectations

Skrickij

Šabanovič

Žuraulis

2020

IET Intelligent Transport Systems

View full text Add to dashboard Cite

“…e authors recognize that ongoing advancements in vehicle automation and their wireless connectivity will fundamentally transform transportation and land use. Autonomous vehicles, also known as self-driving vehicles, can reduce the need for urban parking spaces because they can park themselves at remote facilities or provide another ride on demand [3]. Connected and autonomous vehicles (CAVs) can avoid collisions by maintaining constant communication with all vehicles within range to monitor their trajectories.…”

Section: Introductionmentioning

confidence: 99%

Model Contrast of Autonomous Vehicle Impacts on Traffic

Hungness¹,

Bridgelall

2020

Journal of Advanced Transportation

View full text Add to dashboard Cite

The adoption of connected and autonomous vehicles (CAVs) is in its infancy. Therefore, very little is known about their potential impacts on traffic. Meanwhile, researchers and market analysts predict a wide range of possibilities about their potential benefits and the timing of their deployments. Planners traditionally use various types of travel demand models to forecast future traffic conditions. However, such models do not yet integrate any expected impacts from CAV deployments. Consequently, many long-range transportation plans do not yet account for their eventual deployment. To address some of these uncertainties, this work modified an existing model for Madison, Wisconsin. To compare outcomes, the authors used identical parameter changes and simulation scenarios for a model of Gainesville, Florida. Both models show that with increasing levels of CAV deployment, both the vehicle miles traveled and the average congestion speed will increase. However, there are some important exceptions due to differences in the road network layout, geospatial features, sociodemographic factors, land-use, and access to transit.

show abstract

Integrated models of land use and transportation for the autonomous vehicle revolution

Cited by 71 publications

References 33 publications

Autonomous Road Vehicles: Challenges for Urban Planning in European Cities

Autonomous Road Vehicles: Challenges for Urban Planning in European Cities

Autonomous road vehicles: recent issues and expectations

Model Contrast of Autonomous Vehicle Impacts on Traffic

Contact Info

Product

Resources

About