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35 <br />F <br />Task 2 . B Passenger. Demand Forecasts <br />Objective: To develop passenger demand forecasts at SARTC for horizon years 2014, 2020 and 2040. <br />Approach: In order to develop estimates of future passenger demand on SARTC facilities up to 2040 <br />our team will make full use of existing planning databases including any ridership forecasts prepared by <br />the respective transportation providers. The IBI Group Team is familiar with the studies, plans and data <br />available from several transportation providers, including OCTA's Ridership Datamart, which can generate <br />various ridership analysis reports. <br />The IBI Team's familiarity with the above data sources is further complemented by our use and familiarity with <br />OCTA's long range transportation planning model - OCTAM (a Tranplan software model covering Orange <br />County and neighboring area). The current Orange County Transportation Analysis model (OCTAM) has <br />been recently updated to OCTAM 3.2 for Base Year 2006 and we understand that further improvements <br />are on-going. <br />Market Research and Segmentation Analysis: This effort will collect and analyze information on the existing <br />and potential transit / transportation markets to be served by and in proximity to the SARTC, It would <br />involve the following: <br />• Market Characteristics - this sub-task would develop a regional understanding of 2000 Census <br />demographic data and transit agency projections, including general population and employment <br />densities, concentrations of transit-dependent populations (based on breakdown of the population <br />by age, gender, ethnicity, disability, income level, auto ownership/availability), and concentrations of <br />businesses, large employers and activity centers inside and outside the County that support or have the <br />potential to support high levels of transit / transportation services. <br />• Priority Commuter Target Markets/Corridors - this sub-task would identify target markets for commuter <br />transit services by community sector of the service area with an emphasis on the traditional commuter <br />market segments that do not have access to an automobile or cannot drive (these are the transit <br />dependent markets that use or want to use the local transit services for commuting), and the non- <br />traditional commuter markets that do not want to drive for cost and other reasons (these are the pro- <br />transit "discretionary" commuter markets). <br />For each community sector, we will identify and rank the main commuter demands that are or could be <br />served by each of the respective transportation providers through to the year 2040. <br />For the more traditional rubber tired transit service markets including fixed route and community-based <br />services, IBI Group recently prepared a bus service analytical tool - a detailed spreadsheet application for <br />ridership estimation. Initially prepared for MTA, our team is currently modifying this ridership estimation tool <br />for use with OCTA bus services. We would propose modifying the model to reflect service and operating <br />characteristics specific to providers serving the SARTC. Further, by modifying service parameters, as <br />reflected in the respective data fields, we will replicate future provider operating scenarios in order to derive <br />future passenger demand forecasts. <br />City of Santa Ana <br />Santa Ana Regional Transportation Center Master Plan IBI Group 1.25.1 C