Cities, characterised by scarce resources and facing increasing citizens' requests for more
liveable and attractive environments, need to define and implement more efficient urban …

This paper reviews the models proposed in the past two decades to forecast freight transport
demand resulting from changes in infrastructures, services and regulation. A classification is …

This paper proposes a novel approach to support participatory decision-making processes
in the context of urban freight transport through the integration of discrete choice modeling …

Passengers and freight mobility in urban areas represents an increasingly relevant
component of modern city life. On one side, it fosters economic growth, but, on the other, it …

Purpose This paper addresses the complex problem of multi-stakeholder decisions in urban
freight transport policy-making from a public authority perspective, by proposing a procedure …

This paper investigates transport providers' preferences for alternative loading bays and
pricing policies. It estimates the importance of loading bays, the probability of finding them …

This paper discusses the potential benefits of combining discrete choice models (DCMs)
and agent-based models (ABMs) to provide a stakeholder behavioural analysis and support …

A recent trend to engage and promote sustainable behaviors in transport foresees
gamification, ie the use of game design elements in nongame contexts. To foster the …

Purpose This paper proposes an innovative approach to decision-making processes for
urban freight planning that could easily be transferred across cities while capable of jointly …

This paper derives policy implications from agent-specific data with respect to the
implementation of policy changes in the case of urban freight transport. In particular, the …