S66-S1 Assessing impacts of automated driving and automated mobility
Tracks
Special Session
Friday, August 30, 2019 |
11:00 AM - 1:00 PM |
IUT_Room 108 |
Details
Convenor(s): Lucile Buisson, Louafi Bouzouina, Nathalie Gouget, Olivier Klein, Dominique Mignot, Yves Page / Chair: Yves Page
Speaker
Dr. Yvonne Barnard
Senior Researcher
University Of Leeds
Impacts of automated transport on cities: how to discuss and study impact mechanisms
Author(s) - Presenters are indicated with (p)
Yvonne Barnard (p)
Discussant for this paper
Lucile Buisson
Abstract
Large scale introduction of automated has the potential to transform the cities of the future. Next to increased safety, it could improve the transport network efficiency, reducing congestion, and in combination with electrification reduce air pollution. It could improve personal mobility, also of groups currently experiencing transport poverty. However, it may also have negative consequences such a reduction of active transport modes (walking and cycling) because of the improved access to motorised transport. Also public transport could be become under pressure, and even leading to more vehicles on the road. Different scenarios are possible, and proposed and studied in several European projects and roadmaps. Shared mobility is an important one that holds promises to (partly) solve the transport problems of our cities.
As the problems and solutions related to automated transport are complex, it is important to discuss and study the potential impacts at all levels in our society. In the proposed paper, we will discuss the work that is ongoing in the Trilateral (EU, Japan and US) Working Group on Automation in Road Transportation subgroup on socio-economic assessment, as well as in the European support actions CARTRE and ARCADE. The trilateral group has developed a framework for describing the impact areas, relating them to key performance indicators on a wide range of direct and indirect impacts such as for example safety, mobility, land use and public health. Impact mechanisms were identified, for example availability of automated vehicles may improve mobility and lead to more trips and more traffic. The high‐level evaluation framework is used for assessing the impact of automation and to harmonise these evaluations on an international level. In the CARTRE project, the key performance indicators were used to gather expert opinions on the directions (positive or negative) developments could go in different future scenarios. Currently work is under way to make the complex impact paths more insightful and easier to work with, using graphical representations and system dynamics modelling techniques.
The paper will focus on three main topics: the impacts automated transport may have on cities in different scenarios, the impact mechanisms, and the methods to develop and discuss impact paths.
As the problems and solutions related to automated transport are complex, it is important to discuss and study the potential impacts at all levels in our society. In the proposed paper, we will discuss the work that is ongoing in the Trilateral (EU, Japan and US) Working Group on Automation in Road Transportation subgroup on socio-economic assessment, as well as in the European support actions CARTRE and ARCADE. The trilateral group has developed a framework for describing the impact areas, relating them to key performance indicators on a wide range of direct and indirect impacts such as for example safety, mobility, land use and public health. Impact mechanisms were identified, for example availability of automated vehicles may improve mobility and lead to more trips and more traffic. The high‐level evaluation framework is used for assessing the impact of automation and to harmonise these evaluations on an international level. In the CARTRE project, the key performance indicators were used to gather expert opinions on the directions (positive or negative) developments could go in different future scenarios. Currently work is under way to make the complex impact paths more insightful and easier to work with, using graphical representations and system dynamics modelling techniques.
The paper will focus on three main topics: the impacts automated transport may have on cities in different scenarios, the impact mechanisms, and the methods to develop and discuss impact paths.
Prof. Itzhak Benenson
Full Professor
Tel Aviv University
Shared Automated Ride-Sharing Service – Will It Dominate Future Transportation?
Author(s) - Presenters are indicated with (p)
Golan Ben-Dor, Eran Ben-Elia, Itzhak Benenson (p)
Discussant for this paper
Nathalie Gouget
Abstract
See extended abstract
Dr. Patrice Tissandier
University Lecturer
Université Bordeaux Montaigne
Mobility simulation including autonomous vehicles: what about the urban form ?
Author(s) - Presenters are indicated with (p)
Patrice Tissandier (p)
Discussant for this paper
Olivier Klein
Abstract
Mobility simulation including autonomous vehicles: what about the urban form ?
Abstract presented by Patrice Tissandier
UMR ThéMA, University of Franche-Comté
Session “Assessing impacts of automated driving and automated mobility”
European Regional Science Association
Lyon, august 27-30/2019
A study on the increasing of projects about autonomous vehicles shows that almost of research fields are concerned, from technological domains (improvement of radar and lidar technologies, AI for best choice decisions, etc…) to social sciences (acceptability for example), including economic domain or insurance and legal fields (responsibility cases). For less than 10 years, geographers and land planners have also investigated this thematic, most using simulations software. These simulations, based on theoretical cases (Fagnant and al., 2014) or on real urban territories (Spieser and al., 2014, Bösh and al., 2016), show “predictable” impacts like the decreasing of the number of cars and the growing of daily mobility, but with different rates, depending of the input scenario. Another way of investigation, still not yet explored, need to be presented: the impact on the urban form. For this reason, we purpose to build more complex scenarios combining daily mobility and residential mobility at different time steps: as predicted, the urban sprawl currently found will it continue, extending Newman and Kenworthy’s publication (Newman and Kenworthy, 1996) on the 3 ages of the city? Or the improvement of the traffic conditions provided from automated mobility which is materialized by the disappearance of the congestion and the emissions of pollutants, can it lead to a densification of the central urban spaces?
Abstract presented by Patrice Tissandier
UMR ThéMA, University of Franche-Comté
Session “Assessing impacts of automated driving and automated mobility”
European Regional Science Association
Lyon, august 27-30/2019
A study on the increasing of projects about autonomous vehicles shows that almost of research fields are concerned, from technological domains (improvement of radar and lidar technologies, AI for best choice decisions, etc…) to social sciences (acceptability for example), including economic domain or insurance and legal fields (responsibility cases). For less than 10 years, geographers and land planners have also investigated this thematic, most using simulations software. These simulations, based on theoretical cases (Fagnant and al., 2014) or on real urban territories (Spieser and al., 2014, Bösh and al., 2016), show “predictable” impacts like the decreasing of the number of cars and the growing of daily mobility, but with different rates, depending of the input scenario. Another way of investigation, still not yet explored, need to be presented: the impact on the urban form. For this reason, we purpose to build more complex scenarios combining daily mobility and residential mobility at different time steps: as predicted, the urban sprawl currently found will it continue, extending Newman and Kenworthy’s publication (Newman and Kenworthy, 1996) on the 3 ages of the city? Or the improvement of the traffic conditions provided from automated mobility which is materialized by the disappearance of the congestion and the emissions of pollutants, can it lead to a densification of the central urban spaces?
