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<br />Procedure
<br />t'arking deutand can be observed at existing
<br />mixed-use de~•elopments, if such projects have their
<br />own parking facilities, it is possible to count the ac-
<br />cumulation of parked vehicles and determine the
<br />peak parking demand. The latter would represent
<br />an aggregate value for all of the land uses in the de-
<br />velopntent. The issue for research, however, was
<br />how this aggregate value c(nnpnred to the sum oE• the
<br />peak parkin},r demand krr the individual land uses.
<br />'!•hat is, in Order to study shared parkin;;, it ~r;ts nec-
<br />essarv to stud~•, independently, the parking space de-
<br />mand characteristics of each component of a mixed-
<br />use development and to estimate the effects on de-
<br />nuuul clue to the combination of these uses.
<br />'I•hus, the first step was ,to studti• the parking space
<br />demand generated bl• sil,=nificant indi~•idual land uses
<br />in situations ~~•here unit peak parking demand w<)uld
<br />be ill ItlaXIIllUnt le~•els. •I•}'pical freestanding subur-
<br />bnn laud uses produce -naximum unit parking de-
<br />ntnnd prinuu-il~• because sufficient p~u-king space is
<br />a~~ailahle and transit use is insignificant. By Eirst
<br />identifying parking demand at SUCK "unconsn•auted"
<br />freestanding single land uses, other effects such as
<br />transit use and captive market relationships amid be
<br />Isol~txe(l.
<br />Analysis
<br />"[•he results of• the first step of the analysis estab-
<br />lished parking space demand characteristics at six
<br />single land uses, defined in terms of peak unit de-
<br />mand, hourly accumulation, and seasonal variation.
<br />Peak trait demands (see Figure 1) were developed on
<br />the basis of occupied land use units and negligible
<br />- - Figure 1 ..
<br />Representative Peak Parking • Demand Factors
<br />Land Use Unit !.;., }: "' `". Weekday ; ., Saturday
<br />r,
<br />Office Parking spaces per l,QO0 sy.ft. GLA 3 00 (1.50 ~:;
<br />Retail (< 400,000 sq.ft.) Parking spaces per L,,(1Q0 sy.ft. GLA 3.50 ' 4•.00 '' ~'
<br />Retail (> 600,000 sq.ft.) Parking spaces pet 1 O00 sq ft GLA` 3 80 5.00
<br />Restaurant Parking spaces pet 1 p00 sy ft CIA'.' •' '" 2O 00 ~~'+ ~ 20.OO,~~,G~~T`~'
<br />C.:inema Parking spaces pet seat ~.°, 0 25 - t~ 0:30~~ ~`~~~i(n
<br />Residential Parking spaces per clvv~elhng itntt7 {t,`1i00 .' ~•;~ 1`~, "1 X00 ~,~~~
<br />Hotel `'' , i . ~ x r~ ~~, ~ i ra ~~~,~,r#'~+`
<br />I~ 1 i' %~pl ~ z .~ -tip E' a a~ ~I- az•i ~ ~'~-~+) ~5~
<br />Guest Room Parking spaces per room ,~ ~~,; r +~~ ryrz, Y11 25 ,~a. t ~,~ , ~
<br />RestaurantlLounge Parking spaces per 1 000 s ft CLA ~,~~~ ~ ~lE) OO~~t~r~{ r, ~1'~~¢ lU•UQ~` F j
<br />y 1 k+ ~r1J y, 4- ~ '~~6 G I , ~r~i Srr-st
<br />dy ~ ~ St k~•^,">i~ ,s 5 s Ga rp ~~, !~ ~ ,~ s5~~ ~,vir r`§' i
<br />ConE•erence Rooms Parkin s aces et sett P ~`, ~ ,,+ I .~ d 50 - ~r ~~r 0.50 ;n'
<br />uP P P e ~ * . ,.S.Ik~'~2`G~r. ~ 4. 3(r Se ~ ~+. ' ~s>? -~ ~ ~.,~,r'~ 9y Y~~~ r,Jt
<br />Convention Area Parkin s aces et 1 00 s 1t G `A!" ~~30 ~ r '`~hw~'y ~ <~~~3Q.00 '~`t+4
<br />g P P ~ ~~~ ti ~ w~..r~.~.a .~~~4 ~. ~~i a ~(~ ~~,'> ~-~ ,~~1 K r ~ Y~~~
<br />~,: a ?~ . -es ~ "~ a~.•y~~`a a~lrt -r ~ .a'~ + F to ~ { ,d"gid' ••~y~r rc j~
<br />Per one auto owned per dwelling unit. ~ ~~ F ^~. , ~~ G +t9 ~, ~, ~
<br />'-'t~actorecl a to 10(l ercent auto use from the H() e~cettt taw us~,,~.tiuer y,~,,~~ ,. ,~},4~ r f~~~.~ ~, ~„~~ 3 '* y ~` t. , k'"
<br />P p p car v S c4 ^r #t 1.r.: 1 cy~ s+k$~' ~~ ~J
<br />~'Usecl by nonguests; the given rates, thus, are upper bounds4ryhttitreiiYer1 yely~raeSli~, `{~~~9~r4t~~ #~{~U~K~~~..,r,€.~.
<br />J •,t~.a?YL4 s-u~'t'~~ti9 u,~ rn h~~T~~i ~ ;Y•$` '~ ~f~, 3"'is.C~SCs., a`'r. :r:~~r^~r.
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<br />~ 31~~6 ' ' ) i ~Septetnber ~3 3
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