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The paper presents the adaptability and implementation process of a cyclist-specific system for collecting route data and information from cyclists in the City of Montreal. Using global positioning system (GPS) functionality on Android and iOS smartphones to log route data, travel time, distance, and route choice are obtained for each trip. An anonymous questionnaire with socio-demographic profiles and other attributes is also obtained for each participant. The system builds on the foundation set out by such peer-reviewed projects as CycleTracks and Cycle Atlanta. However, several features were added to improve performance and provide city-specific information. This includes i) a model to break single trips into a series of segments to manage stopping and GPS connection loss, ii) a new method to compute average speed with a simple Kalman-filter algorithm, iii) addition of a bicycle network showing bicycle facilities, and iv) new models, including a calorie counter and an emissions tool to compute greenhouse gas offset adjusting for congestion (speed) in the network and considering local parameters. Despite the brevity of the application (Mon ResoVelo), the number of logged trips reached more than 2300 with more than 500 cyclists registering in the first three weeks. This demonstrates the great acceptability and performance of the system.
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