TBEST Sample Clauses

TBEST. The Transit Boarding Estimation and Simulation Tool (TBET) is a micro-level tool that estimates transit ridership at individual stop level, by route, direction and time period (1). Using a negative binomial count model, TBEST estimates both direct and transferred boarding at each stop based on three major inputs: • Socioeconomic and demographics, which are calculated based on a 0.25-mile buffer analysis for each stop. They are derived from sources such as Census, InfoUSA, and American Community Survey (ACS), etc. • Stop/route characteristics, including scheduling attributes, level of service, and other physical supply attributes. The values are defined by the users. • Adjacent/neighboring stops’ attributes. These attributes are used to measure the potential of trip transfer or being redirected to competing routes/stops. The model specifications for direct and transfer boarding estimation are shown below: 𝐷s = 𝑔(𝐶s, 𝐴s , 𝐴s , 𝐴s , 𝐴s , 𝑋s), 𝑛 = 1,…, 𝑁 where 1n 2n 3n 4n n s = index for any origin stop n = index for any time period N = number of time periods n 𝐷s = direct boardings at stop s during period n for the direction and along the route that define stop s. 𝐶s = vector of buffer characteristics for stop s. These characteristics include the amount of population and employment as well as their characteristics. s C 1n 𝐴s = vector of accessibility to employment and population in the buffer areas of S1 stops during period n. 2n 𝐴s = vector of accessibility to employment and population in the buffer areas of S2 stops during period n.