Highly automated vehicles (HAVs) generate the optimistic prospect of future smart mobility
together with the disruptive influence of traditional policies. Formulating appropriate policies …

A wide variety of tools and approaches for supporting the making of decisions under deep
uncertainty have been put forward, but we lack a comparative overview.• This chapter …

Dynamic Adaptive Policy Pathways (DAPP) is a DMDU approach that explicitly includes
decision making over time. The essence is proactive and dynamic planning in response to …

Traditional top-down methods for resource management ask first what future conditions will
be, then identify the best action (s) to take in response to that prediction. Even when …

Adaptive policies have emerged as a valuable strategy for dealing with uncertainties by
recognising the capacity of systems to adapt over time to new circumstances and surprises …

DAP is a DMDU approach for designing a plan that explicitly includes provisions for
adaptation as conditions change and knowledge is gained.• The resulting plan combines …

As Decision Making under Deep Uncertainty methodologies are becoming more widely
utilised, there has been a growth in the use and generation of Adaptation Pathways. These …

Humanitarian logistics operations perform challenging tasks while responding to large-scale
natural disasters. Decision makers at different stages of humanitarian operations exploit …

Climate change raises serious concerns for policymakers that want to ensure the success of
long-term policies. To guarantee satisfactory decisions in the face of deep uncertainties …

Uncertainty of how fully automated vehicles (AVs) will interact with other road users,
including vulnerable road users and other manual automated operated vehicles in towns is …