FW_MTP_Appendices 20260519

Master Transportation Plan Task 4: Gap Analysis and Needs Network

3.6.2.2 Accessibility to Key Destinations Bicycle and pedestrian networks serve Fort Worth by connecting people to the places where they need to go. While missing infrastructure anywhere in the network can disrupt travel, network gaps near community destinations have the greatest impact on people’s ability to make everyday trips without a vehicle. Building on the Bicycle LTS and PxLTS, this analysis determined how well areas are connected to essential services, employment centers, and public facilities. First, walk sheds and bike sheds were calculated for the destinations listed in Table 10 below (mapped in Figure 37 ). Table 10. Travel Shed Destinations (Distances in Miles) Walk Bike Schools 0.25 0.50 Grocery stores 0.25 1.00 Transit stops 0.25 0.50 Employment centers 0.25 2.00 Bike-share stations 0.25 1.00 Trail access points 0.25 1.00 Once the travel shed networks were established, a 500-foot hexagon grid was laid over the travel sheds for each mode and destination. Then sidewalk and bicycle network accessibility were calculated within each hexagon cell: • Sidewalk Index: Sidewalk accessibility within each hexagon cell was calculated as the ratio of complete sidewalk to overall sidewalk potential if sidewalks were fully present on both sides of the street. For example, 10 miles of walk shed roadway network in a hexagon would require 20 miles of sidewalks to represent complete sidewalks on both sides of the street and a resulting index score of 100 percent. • Bicycle Index : Bicycle accessibility was based on the length of low-stress bikeways (LTS<=2) as a percentage of the total bike shed roadway network. For example, 10 miles of bike shed roadway in a hexagon with 5 miles of LTS 1 or 2 segments would result in a 50 percent index score. Bicycle and pedestrian indices were created for each destination category. The overall bicycle and pedestrian indices (mapped in Figure 38 and Figure 39 ) were calculated with weighted averages based on the amount of roadway that each destination’s travel sheds covered. For example, if a hexagon included the travel sheds for a transit stop and a school, it would be the weighted average of the two coverage percentages. Having no overlap for other categories did not lower a cell’s final value.

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