Service Description: A line-based dataset identifying freight corridors with elevated crash patterns and last-mile connectivity challenges. Recommendations include functional classification upgrades and infrastructure improvements based on freight volume and LOS projections.
Service ItemId: 2f3fedb2c62e4031b7d185d22806f48f
Has Versioned Data: false
Max Record Count: 2000
Supported query Formats: JSON
Supports applyEdits with GlobalIds: False
Supports Shared Templates: True
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Layers:
Description: M1M_Last Mile Freight Gaps: This dataset identifies roadway segments in highly industrial and freight-concentrated areas where crash patterns suggest safety and circulation challenges. The analysis draws on crash data to highlight last-mile connections that may benefit from targeted improvements.
By overlaying freight activity clusters with crash hotspots, the layer pinpoints corridors where upgrading roadway classification or adding infrastructure could enhance circulation efficiency and safety. These recommendations are informed by freight volume data and projected Level of Service (LOS) into 2045, supporting strategic freight mobility and safety planning.
Copyright Text:
Spatial Reference: 102738 (2276)
Initial Extent:
XMin: 2218121.36887497
YMin: 6876633.82150043
XMax: 2430849.58230069
YMax: 7050209.60300731
Spatial Reference: 102738 (2276)
Full Extent:
XMin: 2211066.59227427
YMin: 6875211.31327453
XMax: 2453403.06025741
YMax: 7076994.51835988
Spatial Reference: 102738 (2276)
Units: esriFeet
Child Resources:
Info
SharedTemplates
Supported Operations:
Query
ConvertFormat
Get Estimates