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Dowling Associates, Inc. <br />Transportation Engineering Planning Research Education <br />Mode of Travel <br />The City of Pleasanton travel demand model currently does not include a separate transit network or mode <br />choice model. Instead, a table of zone to zone factors derived from the MTC model mode choice results are <br />used to predict existing transit and ridesharing usage and expected changes in the "Approved" and General <br />Plan "Buildout" future scenarios. The ratios of total person trips to vehicle trips for specific origin <br />destination pairs from the MTC model are used to convert person trip generation to vehicle (auto) trip <br />generation used in the Pleasanton forecast model. For example, if the MTC model estimates a higher -than- <br />average use of transit between a certain residential area of Pleasanton and downtown San Francisco. these <br />assumptions are used to estimate vehicle usage for those trip interchanges in the Pleasanton model. Separate <br />tables are used for the base year (from 2000 MTC model results) and future years (from 2025 MTC model <br />results). This process will be reviewed with City staff and updated as appropriate. <br />Recommended Application of "4D" Processing <br />The "4D" process uses inputs based on land use characteristics and estimates corresponding reductions in <br />vehicle trip generation. <br />The typical application of the 4D process within a travel model does nor accomplish the following: <br />Identify how many of the reduced vehicle trips are actually converting to closer destinations <br />Identify how many of the reduced vehicle trips are actually converting to ridesharing, transit or <br />walk/bike other than general proportional estimates <br />Differentiate between residential areas with and without transit connections to transit friendly <br />destinations <br />Provide trip reductions for groups of adjacent TAZs with diverse land uses instead of assuming all <br />calculations are on individual TAZs. <br />The standard 4D process also requires many detailed design inputs such as sidewalk completion which are <br />more appropriate for evaluation of individual development projects than for long -range transportation <br />planning. Therefore, simplifications of some of the 4D processes are recommended. <br />Dowling has been using the original statistical research used as the basis for the 4D methods as well as newer <br />research and techniques to improve on the 4D process so that travel models do not just reduce vehicle trips <br />but actually estimate shifts to shorter trips and alternative modes. These "Urban Form Adjustment' <br />techniques were tested in Fresno County during the Blueprint process and are ready for implementation in <br />other models. <br />The Urban Form Adjustment process mostly uses lists of TAZs with easy -to -use rating scales (0 to 3) to <br />identify locations with urban forms which help to promote lower vehicle trips. The process uses the <br />following inputs: <br />Identify TAZs with supportive urban design features (such as high density right next to an arterial <br />with bus service), and rate the TAZ by how much of the TAZ land use includes the newer <br />development types <br />Identify districts of TAZs with supportive urban design features (such as a dense retail development <br />across the street from a dense residential development in a different TAZ) <br />Identify corridors of TAZs with improved transit service or improved bicycle /pedestrian paths <br />The inputs to the Urban Form Adjustment process can be quickly coded using GIS or the polygon feature in <br />the Cube network editor. <br />City of Pleasanton 7 <br />2009 Traffic Model Update May 13, 2009 <br />