“Guideline to measure service provided by, and resilience of, transport infrastructure” published

“Guideline to measure service provided by, and resilience of, transport infrastructure” published

“Guideline to measure service provided by, and resilience of, transport infrastructure” published 1200 1604 Foreseeproject

The FORESEE Guideline to measure service provided by, and resilience of, transport infrastructure subjected to extreme events is available now.

The document provides guidance to managers of multi-modal transport systems allowing them to determine specifically for their transport systems how simulations should be conducted, and how indicators should be developed.

The guideline is for managers of different types of transport systems, for different scales of transport systems, for different types of extreme events and taking into consideration the different types of service being provided. It is devised to be used by managers with different ranges of time and expertise.

Its main principles are to objectively measure the service being provided, to systematically consider how this service will be affected when an extreme event occurs, and to consider how infrastructure aspects, organisation aspects and environmental aspects of transport systems affect resilience. Its use can enable managers of transport systems to obtain a complete and objective view of the resilience of their transport systems, and to obtain objective comparisons of the resilience of multi-transport systems.

Within FORESEE Project, the guideline will be used to develop resilience indicators for six multimodal case studies in Germany, Italy, Spain and Portugal. The specific indicators will be unveiled at the end of the project in March 2022.

 

Download the document here: FORESEE_D1.1_Guideline to measure Levels of Service and resilience in in…

Subscribe for free resources and news updates.

    Your Name *

    Your Email *

    Stay updated about the project

    This project has received funding from the
    European Union’s Horizon 2020 research and innovation programme
    under grant agreement No 769373”

    ® Copyright 2018