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Abstract:Nighttime pedestrian safety is a critical concern—76% of pedestrian fatalities occur at night. However, most municipalities lack standardized tools to evaluate crosswalk lighting. Boston, for example, relies on a reactive 311 call-in system, which unintentionally prioritizes affluent areas due to higher reporting volume. The current process for evaluating lighting is time-consuming, inconsistent, and often unscalable. This project seeks to build a data-driven, geographically scalable method to assess lighting conditions across thousands of crosswalks using spatial data and validation techniques.
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