Learning Centre

On Tuesday 19th November 2019, the H2020 project CoEXist and Civitas held a joint webinar on automation-ready transport modelling tools. The speakers addressed the question: How to include Connected and Automated Vehicles (CAVs) in traffic flow and transport demand simulations?

The overall aim of CoEXist is to prepare the transition phase during which automated and conventional vehicles will co-exist on cities’ roads and to make local authorities “automation-ready”.

CoEXist defines the concept of “automation-readiness” as: “The capability of making structured and informed decisions about the deployment of CAVs in a mixed road environment.”

The webinar guides the audience through the new functionalities of the automation-ready modelling tools to understand the benefits of such functionalities.

It is explained how automated vehicles could be modelled at a microscopic scale the operation of CAVs in platoons as well as at the macroscopic level, including the impacts of CAVs on transport demand and traffic time performance.

There are over 500 urban vehicle access regulations (UVARs) in Europe, controlling entry of vehicles to an area of a town or city. They are implemented to improve the quality of life in towns and cities. Often ‘soft measures’ to improve the situation can only go so far, and UVARs are needed in combination with the soft measures.

In order to reduce motorised traffic, people will have to adopt a less car-dependent lifestyle. To manage this shift in mentality and behaviour, cities need to promote new forms of transport use and ownership. Car sharing is one way to reduce motorized traffic and carbon emissions and make a valuable contribution to more sustainable urban mobility. This e-course provides an introduction into the concept of car sharing in a variety of forms as well as experiences of different cities that already have implemented a car sharing scheme.

Tackling transport challenges is crucial for sustainable urban development. Transforming urban transport systems towards being inclusive, safe, clean and low-carbon requires multiple and comprehensive action of a wide range of stakeholders. This has been recognized by the Paris Agreement and the NDC’s in which many countries dedicatedly focus on reducing greenhouse gas emissions of urban transport. The Agenda 2030 includes the target to improve the access to urban transport in the urban SDG 11 whereas other targets on air pollution, road safety, energy efficiency and greenhouse gas reduction require particular attention to urban transport. Further, theNew Urban Agenda will outline the responsibilities and necessary steps to empower cities and local governments to realize their ambitions on improving urban mobility and reducing the negative impact of transport in urban areas. In the webinar, Cornie Huizenga, Secretary General of the Sustainable Low Carbon Transport Partnership (SLoCaT) and Oliver Lah (Wuppertal Institute, Member of the Habitat III Policy Unit 9 on Urban Services and Technology) provide an overview on urban mobility in the global climate agreement, the Agenda 2030 as well as up-to-date insights into the current work of the Habitat III Policy Units whose work is decisive for shaping the New Urban Agenda.

This course gives a broad overview of the main elements involved in marketing urban bicycling. It discusses the history of marketing bicycling and how this marketing has influenced behaviors. The course also explores the elements of creating a marketing campaign as well as relevant examples from several international cities.

This e-course intends to provide the basics of traffic and mobility system. It presents frameworks, background and examples in order to help explain. It will help to better answer questions such as What is the cause of traffic problems in my city? How to tackle them? What is the role of citizens and other stakeholders? After this course you will know the basic principles of the traffic and transportation system. It will contribute to a systematic and more effective approach of policy making and implementation.