Spatial factors influencing bike-sharing usage: a “mobility culture” approach

Abstract

This research contributes to enhancing active modes of transportation through bike-sharing systems (BSS) by understanding the most influencing spatial factors of their usage. Previous studies have focused on objective factors such as the built environment; however, spatial subjective factors, such as social milieus, political regulations, and mobility behavior have rarely been studied. Therefore, we want to fill this literature gap by identifying the most influencing objective and subjective factors influencing the usage of BSS. In order to know which factors should be studied, in addition to the previously analyzed factors found in the literature, we want to include the objective and subjective actors that shape the concept of mobility culture. In order to identify the most influencing factors, a three-steps methodology is proposed: (1) the data collection, (2) data analytics, and (3) model building and variables selection. As a case study, a high performing, hybrid system in Munich, Germany was selected. As an expected outcome, the most influencing spatial factors included in the concept of mobility culture are listed and ranked, and potential demand models are built. This approach opens the possibility to include perceptions, preferences, and values of the users in the planning and design of BSS.