There is a pressing need for a coherent policy that implements a unified approach applicable to the whole police organization in order to effectively prevent corruption within the whole organization. The recommendations within this study constitute the most substantial part of its relevance, aiming to contribute to the development of a robust anti-corruption policy as an effective instrument in preventing corruption within the Belgian police organization.

Following the considerable attention of activity-based models in transportation planning and forecasting, and the necessity to understand and reveal the impacts of transportation policies, this paper aims to simulate and examine a population policy scenario. It explicitly uses FEATHERS, a demand-side activity-based model, operational for Flanders, Belgium. The ABM is required to estimate how the interzonal migration of Flanders’ population from small towns/villages to large, urbanized city areas will closely affect the daily activity-travel choices of the individuals. A current baseline scenario is executed alongside three migration scenarios that account for a spatial redistribution of the population (2%, 5%, 10%) with equal proportions. Results suggest an impact on mode choice during peak hours, with a significant shift from car as a driver to public transport. Besides mode choice, there is a considerable decrease in the total number of trips. As a result, the total vehicle kilometres travelled, and total vehicle hours travelled reduce remarkably. While on the contrary there is hardly any effect on the activity choice.