With the urbanization and expansion of cities, which have taken place over recent decades, new demands and problems are emerging, among which is the problem of inadequate transport infrastructure. The number of motor vehicles is growing, while transport infrastructure is not following that growth fast enough. One of the problems that arises is the insufficient number of garages and parking lots, causing an increase in illegal parking on sidewalks, which impedes and endangers pedestrian traffic. This paper proposes a new decision support concept (DSC) for the management of illegally parked cars in urban centers, which offers a method that can contribute to solving this problem and improving the flow of pedestrians on city roads. Due to its complexity, the problem addressed in this research is recognized as a multicriteria one and therefore the proposed model is based on the use of multicriteria analysis methods—more precisely, the Preference Ranking Organization Method for Enrichment Evaluation—PROMETHEE, and the analytic hierarchy process—AHP. The proposed DSC is validated in the city of Split (Croatia), more precisely in the neighborhood of Sućidar, which shows that this methodology is applicable and effective for finding not a temporary but a permanent solution to the problem described.
Decision Support to Sustainable Parking Management—Investment Planning through Parking Fines to Improve Pedestrian Flows
