Planning 2014-03-27 Item 4 - Tukwila Village Phase II - Attachment D: Parking Notice of Decision

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TRAFFIC IMPACT ANALYSIS - TECHNICAL MEMORANDUM (CONTINUED) Table 5. Weekday External Trip Generation (Total Driveway Trips) Proposed Uses Compatible Land Use Code Family Apartment Units 220 — Apartment Senior Housing — Attached Units 252 — Senior Adult Housing- Attached Senior Housing — Attached Units 252 — Senior Adult Housing - Attached Senior Housing — Attached Units 252 — Senior Adult Housing- Attached Retail Space 820 — Shopping Center Retail Space 820 — Shopping Center Retail Space 820 — Shopping Center Retail Space 820 — Shopping Center Medical Office 720 — Medical - Dental Office Building Community Policing 730 — Governmen t a Office B uildin g Sult�oOhse tn din 'I .r+ Library 590 — if Library Daily AM Peak Hour PM Peak Hour Phase & Building Letter Qty. Total Total In Out Total In Out 1 A 84 DU 555 44 9 35 54 35 19 1 D 60 ODU 183 9 3 6 9 6 3 2 B 122 ODU 373 18 6 12 19 12 7 2 E 128 ODU 390 17 6 11 20 11 9 1 A 11,000 SF 1,221 32 20 12 111 56 55 1 C 3,000 SF 333 9 5 4 30 16 14 2 B 1,800 SF 200 6 3 3 19 9 10 2 E 1,200 SF 133 3 3 0 11 6 5 1 D 22,500 SF 670 51 40 11 73 20 53 1D 2,000 SF 131 11 10 1 2 1 1 1 (by KCLS) 10,000 SF 726 r 7 5 2 71 33 38 Sub otatofiPhase: �TotajityA u s,9 ,aea,zsw.�e,rw ..._. Ll -o" The external trip generation summarized above contains vehicle trips of two types: pass -by trips and new trips. Pass -by trips are trips to /from sites where the vehicle was already on the street and as it is passing by the site, the driver turns into the site to make a stop before resuming their original trip. New trips are the remaining trips, where the primary purpose of the vehicle trip was to travel to and from the site. Only the 17,000 SF of retail uses are expected to attract pass -by trips. The pass -by trip reductions applied to the retails uses were as follows: • 65 percent for the PM peak hour (based on the regression equation found for Shopping Center in the ITE Trip Generation Handbook), • 55 percent for daily (although no data exists, it has been assumed to be somewhat less than during the peak hours), and • 65 percent for the AM peak hour (although no data exists, it has been assumed to mirror the PM peak hour trend). The regression equation was used rather than the average pass -by percentage because the pass -by data for shopping centers indicate that the pass -by rate exponentially increases as the square footage of the retail decreases. This presumably occurs because larger shopping centers are more of a regional destination rather than a local neighborhood center, where someone might drop by on the way home in the evening or to the office in the morning (i.e., a pass -by trip). The result of applying the above pass -by rates to the external trip generation for the retail uses is summarized in Table 6 below. Tukwila Village Development Associates LP 554- 6892 -001 Traffic Impact Analysis 8 November 12, 2012 120