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<br /> As part of this task,we will also review the projected
<br /> -7 school enrollment changes as compared to city-wide - - .
<br /> population changes.Should additional school facilities �� t-�� :J = ,
<br /> E need to be coded into the model,we will work with City '.�h,V_.0 —(1,71-2&:;_, ",- _
<br /> staff and the Pleasanton Unified School District to c,1 °U: is,,, '. ,..v a j:• 's i ` -.-,
<br /> OT-
<br /> C_ identify the proposed school locations and enrollment ,t .i 03-1:1 ,: !1;1r:=�. fr1`i , i characteristics. k 1 �', t -1n J, .)- '5
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<br /> For areas outside Pleasanton,we will review the most
<br /> �; current version of the Alameda CTC land use files and I -'- ;3[;j . < :i • '.7
<br /> summarize the land use inputs to include In the updated -.:
<br /> I , iY'�;rl---1 ,L n�1!¢�1.r ,,`: i,lti :� L ;-�Er r f.
<br /> model.Summary tables will be provided to City of f; xy 1- „ f (s,_F;^,
<br /> Pleasanton staff for review prior to the master land use C*_741l1 1i�,a sj.,i-11.J ,-, 01' `
<br /> files being updated.Alternatively,we can use the land r�.,- :it.,' 1 ,c';�41,' e `, 1`,,_•
<br /> use projections prepared by the City of Dublin for their 1"f, ri;c.;:`:=
<br /> L"_,� recent model update.
<br /> Task 3.3:Cat-Through Traffic .
<br /> As evidenced by a 2009 study that quantified the level of
<br /> E cut-through-traffic in Pleasanton,a significant - i
<br /> •
<br /> proportion of traffic on some City streets during ' _
<br /> E commute hours Is through traffic.Since the data - o
<br /> collection effort for that study,improvements on the
<br /> I ; regional roadway system,including construction of _ -
<br /> high-occupancy vehicle lanes on 1-580 could have
<br /> resulted in a shift of through traffic from the Pleasanton . '
<br /> roadway network to the regional roadway network.
<br /> ' Other recently completed roadway improvements,such ?, o -
<br /> as the Stoneridge Drive extension,could result in an -
<br /> increase in cut-through traffic.
<br /> As part of this task,we will compare traffic volumes at .
<br /> the major gateways(including Sunol Boulevard,Stanley _
<br /> `Li Boulevard,Hopyard Road,Santa Rita Road,Bernal -
<br /> Avenue and Stoneridge Drive)into Pleasanton between Pleasanton,as well as to better capture that not all trips
<br /> 2009 and 2015.if the volume of traffic traveling through to a specific land use,such as retail,are primary trips.
<br /> each Gateway has changed more than compared to Adjustments to the trip generation rates will be
<br /> �--� non-Gateway intersections,that could indicate that cut- considered as part of the model validation task,if
<br /> through travel has changed through the City of necessary,and will be discussed with City staff.
<br /> Pleasanton from what was observed in 2009. Task 3.5: Trip Distra!laaotian
<br /> 0 As an Optional Task,Fehr&Peers will work with Fehr&Peers will review the trip distribution
<br /> StreetLight Data to obtain an updated estimate of the methodology within the 2009 model.Based on the
<br /> lE level of cut-through data based on cell phone and GPS validation tasks(see Task 4),we will recommend
<br /> data.As the level of effort for obtaining and refining this changes to friction factors,if necessary.
<br /> 3 data is largely a function of the number of analysis
<br /> T®sGc 3.6:Node Choice
<br /> locations,a detailed scope and fee will be prepared if The 2009 model does not have a mode choice
<br /> E desired.A sample cost per origin-destination pair Is
<br /> component,but rather pivots from data within the
<br /> provided under optional tasks in the fee proposal. Alameda CTC model.As part of this task,we will update
<br /> rrii Tas&3.4:Trip Generation the mode choice factors derived from the most recent
<br /> `7 Fehr&Peers will review and update the model trip Alameda CTC model.This task is correlated with Task
<br /> generation rates to reflect rates within the 9th Edition of 3.4,as well as the validation Task 4.
<br /> the Institute of Transportation Engineers Trip Generation
<br /> Manual.As part of this task,we will also suggest
<br /> refinements to the trip generation rates to better reflect
<br /> D.
<br /> the trip generating characteristics of land uses within
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