The data sets analyzed come from bicycle counting detectors installed on various sites. These sensors record the number of cyclists crossing each minute, allowing detailed observation of the number of cyclists passing by. In some locations, detectors also provide speed data, enriching behavioral analysis. In order to facilitate interpretation and identify trends, raw data is aggregated at several time scales: per 15-minute interval, per day, per month and per year. This methodology makes it possible to monitor the evolution of bicycle traffic, to identify seasonal variations and to assess the impact of specific developments or events. Aggregation is carried out using automated processes, guaranteeing the consistency of the time series and the quality of the analyses.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Location of elements of urban furniture in the City of Repentigny.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**