An Algorithm for Optimizing the Determination of Cycling Routes on the Example of the Gdansk Agglomeration

Abstract

Physical activity is an essential part of a healthy lifestyle. One of the manifestations of the change in a society type from consumer to information one is the understanding of the importance of ecology and a healthy lifestyle. This is evident, inter alia, in the inventiveness and involvement of the society in the start-up and solutions referred to as the Smart City. One example is the development of e-bike rental and local investments in the development of the bicycle network. The selection of optimal locations for renting equipment in network equipment rentals can be difficult without research based on real measurements. The following article presents the preliminary concept of urban space analysis in terms of its use in bicycle transport. Gdansk agglomeration was chosen as the research area.