DRL024 Urban Freight and Behaviour Change
The course is aimed at Norwegian and foreign PhD students, researchers and consultants, and public sector employees working with in the realm of urban freight transport.
To learn how to define, design and evaluate urban freight policies capable of adequately responding to the sustainability challenges urban freight distribution poses to modern cities. Behavioural change is at the base of any solution of urban freight problems. Shared and long-standing policies must account and accommodate both private (i.e. profit oriented) and social (e.g. environmental) objectives. Urban freight problems and solutions are strictly interwoven with and dependent on technological, organizational, regulatory, and policy innovations. Results depend on the interaction among the various system components and related stakeholders. Therefore, urban freight policies/solutions should emerge from a collaborative/participatory approach compatible with larger societal sustainability goals. The course will, through a case study based approach, discuss, illustrate and show how to apply cutting edge methods (design of experiments, discrete choice modelling and agent-based modelling) useful to overcome/take-advantage-of any barriers/oppportunities that should be removed/exploited when adopting innovative solutions in urban freight distribution.
The URBE PhD course focuses on rigorous and robust methods, yet made comprehensible, capable of ex-ante determining the acceptability of potential alternative policies and predicting the behavioural change that might materialise when actually implemented. • The theoretical and conceptual platform covers topics like consumer choice analysis, willingness to pay measures, stakeholder interaction analysis/simulation and opinion dynamics models. Emphasis is posed on Stated Preferences (SP) methods as a valuable instrument to measure the economic value of policy options/mixes. • Based on the conviction that urban freight policy making is one of the most complex environments in the field of Transportation where interaction effects among stakeholders should be explicitly considered, the course illustrates how to: 1) elicit stakeholders’ preferences for alternative policy options (focus groups and SP techniques); 2) determine their likely responses to policy changes (discrete choice modelling) and; 3) account for interaction effects in a consensus building process (agent-based modelling) in order to forecast likely results. • The course will also touch upon: 1) stakeholder engagement techniques (e.g. gamification) and how to integrate them in policy definition; 2) innovative policy measures (e.g. crowd shipping) and how they can be studied using the methodological apparatus illustrated.