Page 27 - Jan/Feb 2023 Vol 40 No 6

and processes. For example, a street
centerline layer was used as the base
layer for analysis, and other datasets
were analyzed for each of the four critical
factors. The safety factor utilized traffic
incidents involving pedestrians and
cyclists, respectively.
Safety, Transit, Connectivity, and Equity
The ratio of number of incidents
relative to the street length determined
the safety score. The connectivity score
was based on the percentage of existing Stakeholder Engagement Meeting
sidewalk on a given street segment. The disabled population, senior population,
transit score for a street segment was female population, less than high CRITERIA ISSUE TO MITIGATE
based on proximity to transit stops. school education, limited English
Scoring varied based on number of speaking households, total minority Safety Would a project
boardings and alighting for a given population, population in poverty, address a location with
transit stop. renters, unemployed workers, and youth a documented safety
The equity score came from analysis population. concern?
using data from the Greater Nashville Once the analysis was complete, a
Regional Council (GNRC) that total score reflecting all four factors Health & Would a project
determined areas with Degrees of was added to the attributes of each Equity benefit underserved
Vulnerability (DOV). Scores were based street segment. After analyzing and communities?
on streets intersecting census tracts processing the GIS data, the next step Transit Would a project improve
categorized as either “Vulnerable” or was site selection while considering Access pedestrian access to the
“Highly Vulnerable”. constructability. Any existing projects
These categories were based on that NDOT was already committed to transit network?
thirteen factors including: active were scored and compared spatially to Connectivity Would a project support
transportation commuters, carless the street network. the existing network?
households, housing cost burdened, continued on page 28

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