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<br />Funded regional projects were also added to the assumed regional Year 2030 <br />roadway network including: <br /> <br />· An HOV lane on eastbound 1-580 from Hacienda to Greenville Road. <br /> <br />. Isabel at 1-580 Interchange <br /> <br />· Isabel/Route 84 widening to 4 lanes from Pigeon Pass to Stanley, and 6 lanes <br />from Stanley to 1-580 <br /> <br />· Dublin Boulevard extension to Livermore as 6-lane divided roadway with a 4- <br />lane section through the unincorporated area. <br /> <br />· Jack London extension to EI Charro Road as a 4-lane roadway. <br /> <br />. EI Charro Road widening to 6 lanes from 1-580 to Jack London <br /> <br />. East Dublin Properties roadway network <br /> <br />· New Livermore General Plan roadway network including only 2 lanes on <br />First Street through downtown. <br /> <br />· An HOV lane on north 680 from Milpitas to SR 84 <br /> <br />See the graphic of roadway improvements in the Appendix for details. <br /> <br />Daily Trip Generation and Distribution <br />The daily trip generation step quantifies the total magnitude of travel (person trips) <br />generated in each zone based upon land uses within the zone. To derive more <br />accurate projections of future travel behavior, the model stratifies trip ends by six <br />trip purposes: <br /> <br />. Home-Work (trips between residences and places of employment) <br /> <br />· Home-Shop (trips between residences and places of retail employment or <br />personal errands) <br /> <br />· Home-Social/Rec (trips between residences and social visits or recreational <br />attractions) <br /> <br />· Home-Local School (trips between residences and local public elementary, <br />middle and high schools) <br /> <br />· Home-Regional School (trips between residences and regional schools and <br />local private schools) <br /> <br />· Non-Horne-Based (linked trips between uses) <br /> <br />Splitting the trips into purposes allows for a better understanding of the <br />relationship between jobs and housing, by separating commute trips. It also <br />provides more control over the trip distribution, since different types of trips involve <br />different trip lengths. For a peak period model, it is important to identify the <br />differences in travel characteristics over the day. <br /> <br />City of Pleasanton <br />Travel Demand Forecasting and Micro-Simulation Models <br /> <br />Page 7 <br />January 23, 2007 <br />