A scoring index is developed to analyze the attractiveness of bike routes in urban areas for last-mile logistics using electric cargo cycles (ECCs). Existing bikeability scores tend to focus on infrastructure and operations-based attributes of a route. Comfort and safety attributes become more critical for ECCs due to the increased weight of a conventional bicycle when transporting goods. This report develops the ECC scoring index using a survey with participants riding on four routes within the York University Keele Campus. A literature review is conducted to identify twelve variables for the score. Data is collected using devices such as a GPS-connected smartphone, a Gyroscope, and a GoPro camera. Participants are asked to rate specified variables on infrastructure, safety and behaviour. The analytical hierarchy process is used to compute the weights for each factor using pairwise comparisons. It was found that cyclists prioritized collision risk, cyclist visibility and pavement condition the most when choosing a cycling route. Variables with the highest weights out of 100% include collision risk (24.3%-25.5%), visibility (11.1%-13.0%) and pavement condition (9.9%-12.4%). A simplified scoring index is derived using variables that could easily be applied to other routes to test its transferability.
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