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Master Transportation Plan Task 4: Gap Analysis and Needs Network

levels of OTP, particularly along major north-south and east-west corridors, there are pockets of lower performance in the southern and far western parts of the system. 3.5.2.5.4 On-Time Performance by Mode To further assess reliability, OTP was evaluated across different transit modes, offering an alternate view of how service types perform both within Trinity Metro and among its peer systems. As shown in Figure 26 below, Trinity Metro demonstrated consistently strong OTP across all its operating modes. Local bus service achieved an OTP of 88.7 percent, while demand-response service reported a slightly higher OTP of 91.8 percent. Notably, both of Trinity Metro’s rail services, Trinity Railway Express and TexRail, delivered exceptional reliability, with OTP rates of 99.0 and 98.6 percent, respectively. Figure 26: Peer Cities OTP

DART also achieved high OTP (91.7 percent) for its light rail network. However, DART’s local bus service performed notably lower, with an OTP of 74.4 percent. VIA in San Antonio reported more consistent OTP across its services, with bus rapid transit achieving 81.1 percent, commuter express service at 81.7 percent, and local bus service at 83.7 percent. Although VIA's performance is stable across modes, all values fall short of Trinity Metro’s levels, particularly in rail and demand-response services. CapMetro in Austin displayed a mixed performance profile. Its core bus services, including regular bus (78.6 percent), Express bus (74.4 percent), and rapid bus (77.6 percent), all performed below Trinity Metro’s local bus OTP. In contrast, CapMetro’s light rail service achieved a strong OTP of 92.4 percent, while demand- response service reported an OTP of 92.2 percent, aligning closely with Trinity Metro’s performance in those categories. Overall, these comparisons highlight Trinity Metro’s strong operational reliability, particularly in its rail

and demand-response services. 3.5.3 Transit Gaps Prioritized

To identify and prioritize areas with the greatest need for transit improvements, we developed a prioritization framework that integrates three key indicators: the TSI, transit propensity, population

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