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Safe by Design: Collecting Traveler Centric Data to Inform Safe Street Design
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2023-06-30
[PDF-1.71 MB]
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Edition:Final Research Report
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Abstract:The transportation safety paradigm for urban transportation – particularly safety for those walking, cycling, and scooting – relies on counting crashes to parameterize safety. This reactive, crash-based method is limiting crashes are underreported and devoid of human perception, and their low frequency precludes testing countermeasure effectiveness. Building on diverse safety-critical fields, we hypothesize that urban transportation safety can be measured proactively with traveler biometrics, including eye and head movements, such that high readings of biometric indicators correlate with less safe areas. We collect biometric data from cyclists traversing an urban corridor with a protected, yet not continuously, cycle lane. By isolating and correlating peaks in cyclist biometric measures with infrastructure design, we develop a set of continuous variables – lateral head movements, gaze velocity, and off-mean gaze distance, both independently and as a vector – that allow for the evaluation of safe urban infrastructure proactively. The results reflect higher biometric readings correspond to less safe (i.e., unprotected) areas, indicating that safety can be measured proactively with biometric data.
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