Master Transportation Plan Task 4: Gap Analysis and Needs Network
density, and employment density. Each variable captures a different dimension of transit demand and supports a data-driven approach to targeting service enhancements and infrastructure investments. 3.5.3.1 Methodology 3.5.3.1.1 Normalization of Variables To ensure comparability across different units and scales, the TSI, transit propensity, population density, and employment density were normalized to a 0 -1 scale. This was achieved by dividing each variable's value by the maximum value observed across all gap type areas. A weighted score was calculated for each gap area using Equation 1 below: Equation 1: Weighted Priority Score Priority Score = (0.30 × TSI) + (0.30 × Transit Propensity) + (0.20 × Population Density) + (0.20 × Employment Density) Using this weighting formula, TSI and transit propensity are emphasized more heavily (30 percent each) due to their direct correlation with potential mode shift and ridership potential, while population density and employment density contribute 20 percent each, reflecting their importance in supporting sustainable transit service. 3.5.3.1.2 Classification of Gap Priority The resulting composite scores were classified into three tiers of priority using a natural breaks (Jenks) classification method: • High-Priority Gaps: Areas with the highest potential demand and suitability for transit investments. Shown in red symbology across priority maps. • Medium-Priority Gaps: Moderate potential that may benefit from enhanced service or targeted infrastructure. Shown in orange symbology across priority maps. • Low-Priority Gaps: Lower relative demand, but still potentially valuable as part of a long-term strategy. Shown in orange symbology across priority maps. 3.5.3.1.3 Mapping The priority scores were mapped for each gap type to visualize the spatial distribution of need across the service area. 3.5.3.2 Priority Coverage Gaps Amongst the local gaps, a few priority gaps were highlighted as part of the prioritization analysis. These local gaps are areas where no fixed-route service operates within a reasonable walking distance, of the existing fixed-route transit system which was set at 0.25 miles.
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