Abstract
Large cities are increasingly investing in efficient mobility and sustainable transportation as an alternative to expensive and pollutant traditional vehicles. In parallel, people are also seeking cleaner and healthier options for short and last-mile distances. In order to cope with this trend, which has boosted the adoption of bikes in urban areas, a major concern of the governments has been to build bike paths and tracks that allow cyclists to move safely and through shorter distances. However, such initiatives may result in bicycles infrastructure built alongside traditional vehicular roads or on inadequate regions. Therefore, there should be a flexible way to assess the quality of bike paths and tracks, combining variables that indicate adverse conditions for the health and safety of cyclists, such as statistical risk of accidents, air and noise pollution, excessive sunlight exposure, dangerous UV radiation, among others. This article then proposes a new comprehensive quality metric that combines sensed environmental data and historical reported incidents related to bike paths and tracks, which may be employed for traditional physical signaling or to support computer-assisted solutions for cycling monitoring and alerting. Such new metric exploits fuzzy logic to model a group of variables to ultimately provide a unified safety and health quality level, referred as BikeWay. Doing so, we expect to allow dynamic and historical perceptions of how healthy and safe the bike paths and tracks are for cyclists in modern cities.
Highlights
T HE use of bikes for daily transportation is becoming increasingly common in large urban centers, driven by the mobility inefficiency of traditional transports and an urgent demand for healthy habits
SIMULATION RESULTS The proposed metric is an important contribution to the usage, development and maintenance of bike paths and tracks in urban areas
Since it is an innovative metric that has not been proposed before, to the best of our knowledge, the evaluation of the BikeWay metric was focused on practical examples of how it could be exploited in real cities, since comparisons among different approaches could not be performed in a meaningful way
Summary
T HE use of bikes for daily transportation is becoming increasingly common in large urban centers, driven by the mobility inefficiency of traditional transports and an urgent demand for healthy habits. The second group, BW-Infrastructure, comprises data that affects cyclists according to the used bike path, as for example the historical risk of accidents on a particular area For this second group, statistical data is expected to be considered when assessing a bike path, since real-time accounting of accidents or urban violence may be unfeasible in most cities. Statistical data is expected to be considered when assessing a bike path, since real-time accounting of accidents or urban violence may be unfeasible in most cities Combining both groups and their specific parameters, the BikeWay metric exploits fuzzy logic to present a quality indication within a group of possibilities: Very Good, Good, Moderate, Bad and Very Bad. To the best of our knowledge, such comprehensive fuzzy-based quality metric for bike paths and tracks in urban areas has not been proposed before.
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