T A B L E O F C O N T E N T S
L I S T O F T A B L E S iv
L I S T O F F I G U R E S v
L I S T
O
F A B B R E V I A T I O N S viL I S T
O
F S YM
B O L S vi iA C K N O
W
L E D G EM
E N T S vi i iA B S T R A C T ix
C
H
A P T E R S1 I N T R O D U C T I O N 1
2 B A
C
K G R O UN
D A N D L I T E R A T U R E R E V I EW
La nd Us e Regr e s sio n . . 4
T he Bu i lt Env ir o n
m
e nt a nd
A irQ
u al ity 93.
M
E T H O D O L O G YOv e r view of the Stud y Reg io n 1 5
T he Tria ng le Reg io n a
l
M
odel
1 8La nd U s e Regr e s sio n
M
odel Sele ctio n 2 1La nd U s e Regr e s sio n
M
odel Cal ibr atio n 2 5R isk As s e s s
m
e ntM
odel 3 04 B A S E C A S E R E S U L T S
Ba s e Ca s e Su
m m
a ry Statistic s 3 3Ba s e Ca s e P
M
2 5 Co n c e ntr atio n s 3 5Ba s e Ca s e A t tri butab le
M
o rtal ity 3 6D is c u s sio n 3 9
5 S C E N A R I O
M
O D E L I N GA lte r n ativ e La n
d
De v elopm
e nt Sc e n a rio s 43
Sc e n a rio Su
m m
a ry Statistic s 5 0Sc e n a rio P
M
2 5Co n c e ntr atio n s 5 2Sc e n a r
io A t trib
utab
leM
o rtal i
ty5
5D is c u s sio n 5 9
6 D I S C U S S I O N A N D P O L I C Y I
M
P L I C A T I ON
S 6 2Pol icy I
m
p l ic atio n s 6 57. C O N C L U S I O N S 6 8
9. A P P E
N
D I C E SA p pe n
d
ix I: An n u al Av e r age PM
2 5 Data a nd
Dis c u s s
io n 6 9A p pe nd ix I I: Exp la n ato ry Va riab le s 8
0
A p pe nd ix I I I: Statistic al An al ysis 1 12
L I S T O F T A B L E S
1 Bu i lt En vir o n
m
e nt a nd
A irQ
u al ity L ite r atu r e 102. No rth A
m
e ric a n La nd U s e Regr e s sio n Stud ie s 2 33. Ba s e Ca s e Su
m m
a ry Statistic s 3 34. At tri butab le De aths fr o
m
PM
2 5, 2 0 1 0 3 75
M
odel Er r o r Te rm
s 4 16 Sc e n a rio Su
m m
a ry Statistic s, Populatio n De n sity 5 07. At tri butab le De aths fr o
m
PM
2 5, Sc e n a rio 1 5 7
8.
At tri b
utab le
De aths fr om
PM
2 5,Sc e n a r
io 2 5 9L I S T O F F I
G
UR
E S1 Co up led
M
ode
l Re s e a r ch
Schem
atic 1 52. Stu
d
y A r e a Ov e r view 163. Tria ng le Reg io n al
M
odel Schem
atic 1 94 Lo c atio n of A ir
Q
u al ityM
o nito rin g Statio n s 2 85. Pr ed icted P
M
2 5 Co n c e ntr atio n s, Ba s e Ca s e3
66 Esti
m
ated De aths At tr ibutab le to PM
2 5, 2 0 1 0 3 97. Populat
io n
D
e n sit
y, Sc e n a ri
o 1 4 68. Populatio n cha nge r elativ e to the ba s e c a s e. Sc e n a rio 1 4 7
9. Populatio n De n sity , Sc e n a rio 2 4 9
1 0. Populatio n cha nge r elativ e to the
b
a s e c a s e. Sc e n a rio 2 5 01 1. Pr ed icted PM2 5 Co n c e ntr atio n s, Sc e n a rio 1 5 3
12 Pr ed icted PM 2 5Co n c e ntr atio n s, Sc e n a rio 2
54
1 3 Esti
m
ated De ath Rate A t tri butab le to PM
2 5, Sc e n a rio 1 5 5L I S T O F A B B R E V I A T I O N S
C O Ca rbo n
m
o n o xid
eC O2 Ca rbo n d io xi de
G I S Ge ogr ap h ic In fo r
m
atio n S ystem
H C H y dr o c a rbo n
H I A He alth i
m
pa ct a s s e s sme ntN O N i tr oge n o xi
d
eN O 2 N itr oge n d io xi de
N Ox A l l
m
o n o-nitr o
ge n o xi de s
O3 Oz o n e
P
M
Pa rtic ulatem
at te rP
M
2 5 A ll
pa rtic ulatem
at te r w ith a d iam
ete r le s s tha n 2.5 |amP
M
io A l l pa rtic u latem
at te r w ith a d iam
ete r le s s tha n 1 0 |jmR R Relativ e risk
R T P Re s e a r ch Tria ng le Pa rk
S 0 2 Sul fu r d io xi
d
eT A Z Tr a n sporta tio n a n al ysis z o n e
T R
M
Tria ng le reg io n alm
odelV K T Veh icle
-k i
l
om
ete r s tr a v el led
L I S T O F S Y
M
B O L S\ig =
M
icrogr am
;1 x 1 0 ~^gr a
m
sP
^ = Pa r am
ete r c o effi
cie nt fo r the nthm
odel te rm
E —
M
odel err o r te rm
R^ — Co ef fi cie nt of dete r
m
in atio nA y = At tri butab le
m
o rtal ity o rm
o rb i d ityyo = Ba s el in e in c i de n c e, equ al to ba s el in e in ci
d
e n c e r ate(
Iq)
m
ulti p l ied b y the pote ntial l yaf
f
e cted populatio n(
P)
P
= Co n c e ntr atio n-r e spo n s e c o ef fi cie nt fr o
m
ep i dem
iolog ic al stud ie sA C
K
N OWL E D G
M
E N T SI w ish to a ckn ow led ge
m
y c om m
it te e fo r th
eir s up po rt a nd w i l hngn e s sto sha r e theire xpertise thro ug ho ut the c o
m
p letio n o f th isr e s e a r ch S pe cia l tha nks are du e to Dr. Pa ulVo s s fo r h is v alu ab le c o ntri
b
utio n s to the statistic alm
ethods u s ed in th is r e s e a r ch, Jo eHu eg y fo r h is a s sista n c e w ith the Tria ng le Reg io n al
M
odel, a ndM
o n isha K hu r a n a fo rA B S T R A C T
T H E O D O R E JA
M
E SM
A N S F I E L D : T he Bui lt En v ir o nm
e nt, S patial Va riatio n in F in ePa rtic u late
M
at te r Con c e ntratio n s, a nd At tri butab leM
o rtal ity: A Sc e n a rio-Ba s ed La n
d
U s e Regr e s sio n A p
p
r o a chA la nd u s e r egre s sio n
m
odel is c al ib
r ated to pr ed ict a n n u al a v e r age PM
2 5 c o n c e ntr atio n sthr o u g ho ut the Tr ia ng le Reg io n A risk a s s e s s
m
e ntm
odel is u s ed to pr ed
ict at trib
utab leal l
-c a u s e
m
o rtal ity fr om
e xpo s u r e to pr ed icted
c o n c e ntr atio n s T w o alte r n ativ e la nd
d
e v elopm
e nt s c e n a rio s a r e c om
pa r ed to c u r r e nt c o nd itio n s in te rm
s of air qu al ity a ndhe a
lt
h im
pa cts Th i
s stud
y fi nds th
at c om
pa ctd
e v elopm
e nt alo n e is n ot a n ef fe ctiv einte r v e ntio n to r edu c e al l-c a u s e
m
o rtality at tri butab le to fi n e pa rtic ulate
m
at te r in u rba na r e a s; howe v e r, r eg io n al air qu al ity i
m
pr o v e s in r e spo n s e tom
o r e c om
pa ct de v elopm
e ntW
h i le c om
pa ct dev elopm
e nt pat te rn sm
ay redu c e total veh icle-k i lom
ete r s tr a v el led a ndi
m
pr o v e r eg io n al air qu al ity, the c om
b in atio n o f c om
pa ct u rba n fo rm
s a nd a utom
ob i ledepe n
d
e n c em
ay r e s ult in si gni fi c a nt lo c al air qu al ity im
pa cts c o-lo c ated
wi
tha r e a of
h i g
h
populatio n de n sit
y. T he r efo r e, c om
pa ct u rba n fo rm
sm
ay e x a c e rbate he alth im p
a ctsa s s o ciated w ith fi n e pa rtic ulate
m
at te r i f othe r pol icy optio n s to r edu c e a utom
ob i leC hapte r 1: Intr odu ct io n
Urba nizatio n is o c c u r ring at a r ap i d r ate a c r o s s the g lobe. Fo r the fi r st time in hu
m
a nh isto ry,
m
o r e tha n hal f of the w o rl d 's populatio n
l i
v e s in citie s Inm
a ny de v elopedc o u ntrie s, gr e ate r tha n 8 0
%
o f the populatio n l iv e s in u rba n a r e a s(
T heW
o rl d Ba nk,2 0 1 1
)
. T he r ole of u rba n ag g lom
e r atio n s a s thed
omi
n a ntm
ode ofhu
m
a n s et tlem
e ntpro v i de s a str o ng r atio n ale fo r r e s e a r ch o n the i
m
pa cts of urba nism
o n hum
a n he alth a nd
wel l-bein
g. How e v e r,
m
a ny ef fe cts of la rge-s c ale u r
b
a nism
o n huma n wel l
-b
eing r e
m
ainu nde r-r e s e a r ch
ed Pub l ic he alth, br o ad l y defi n ed a s
"
the s cie n c e a nd a rt of pr e v e nting
d is e a s e, pr olo ng ing l i fe a n
d
pr om
oting he alth thr o ug h th
e o rga niz ed ef fo rts a nd
info rm
edchoic e s of s o c
i
ety, o rga niz atio n s, pub l ic a nd priv ate, c om m
u nitie s a nd i
nd ivi du als" is
inhe r e ntl y l inked to the e n v ir o nme nt in w h ich w e l iv e
(
W
in slow, 1 9 2 0)
T hu s, the ef fe ctsof u rba niz atio n o n pub l ic he alth c o n stitute a n a r e a of r e s e a r ch that is r elev a nt fr o
m
botha n a c ade
m
ic a nd pol icy-m
ak ing pe r spe ctiv e T h is r e s e a r ch e x p lo r e s o n e of the
m
a nyw ays in w h ich urba nizatio n af fe cts pub l ic he alth: fi n e pa rtic ulate
m
atte r c o n c e ntr atio n sr e s u lting fr o
m
u rb
a n de v elop me nt a nd the he alth ef fe cts of e x po s u r e to fi n e pa rtic u latem
at te rRelatio n sh i ps betw e e n the bui lt e n v ir o n
m
e nt a nd pub l ic he alth bega n at tr a ctingfo c u s ed r e s e a r ch at te ntio n in r e spo n s e to two inf lu e nt
i
al ep i dem
iolog ic al c oho rt stud ie s-the Ha r v a r
d
" S ix C itie s Stud y" a nd the Am
e ric a n Ca n c e r So ciety Stud y(
Do cke ry et al.2 0 0 3, Pope et al 1 9 9 5
)
A s ub
-the alth fo c u s e s o n the r elatio n sh ip betwe e n the bui lt e n vir o n
m
e nt a nd air qu al ity(
s e e, fo re x a
m
p le, Fr an k et al 2 0 0 6)
Howe v e r,m
a ny e x isting stud ie s of the bui lt e n v iro nm
e nt a ndair qu al ity a r e l i
m
ited to a s s e s sing ag gr egate em is sio n s o v e r la rge spatial s c ale s(
s e e, fo re x amp le, Beha n et al 2 0 0 8, Ko r a cin et al 2 0 0 9
) W
h i le impo rta nt fr om
a r eg io n al o rg lobal perspe ctiv e, ag gr egate em is sio n pr ed ictio n s a r e n ot u s eful in elu ci datin g the
i
m
pa cts of pol luta nts o n a lo c al
s c ale. Th
e ab
i l ity to pr ed
ict lo c al
s c ale im
pa ctsi
s c r u cia
l
in cha r a cte rizing the pub l ic he alth r a
m
i ficatio n s of bui lt u rba n fo rm
s. Fu rtherm
o r e, thel i
te r atu r e o n the bui lt e n vir o nm
e nt a nd
air qu al ity ha s ge n e r al
l y r el ied upo n grid d
ed
che
m
ic al fate a nd tra n sportm
odels w ith c o a r s e spatial r e s olutio n(
s e e Tab le 1)
. Inr e spo n s e to th is sho rtc o
m
ing in the l ite r atu r e, th is r e s e a r ch u s e s a la nd u s e r egr e s sio nm
odel to pr ed
ict air qu al
ity w ith h i g he r spatial r e s olutio n tha n pr e v io u s stud ie s in o rde r toe xp lo r e the r elatio n sh i p betw e e n the bui lt e n v ir o n
m
e nt, lo c al air qu al ity, a nd hum
a ne xpo s u r e to air
b
o r n e c o ntam
in a nts A risk a s s e s sme nt model is integr ated
into ther e s e a r ch de si gn to tr a n slate pr ed icted lo c al air qu al ity into e sti
m
ated he alth ef fe cts F in epa rtic ulate
m
at te r, defi n ed a s pa rticle s s u spe nded in the air w ith a d iam
ete r sm
al le r tha n2.5 fi
m
a nd r efe r r ed to a s(
PM
2 5) is the e n v ir o nm
e ntal pol luta nt of inte r e sts in th is stud y.G iv e n the e sta
b
l ished he alth ef fe cts of PM
2 5 a r e thed
em
o n str ated
ab i l ityl
a nd
u s er egr e s sio n
m
od
els to a c c u r atel ym
odel spatial v a riatio n in PM
2 5 c o n c e ntr atio n s in theu rba n c o nte xt
(
s e e, fo r e x am
p le, Ro s s et al. 2 0 0 7,M
o o r e et al. 2 0 0 7, a nd He nde r s o n et al.
2 0 0 7
)
, PM
2 5 is a n ap pr opriate pol luta nt fo r th is stud y.T he ai
m
of th is r e s e a r ch is to elu cid
ate the r elatio n sh ips am
o ng theb
ui l
tenvir o n
m
e nt, air
qu al ity, a nd th
e he alth ef fe cts of hum
a n e x po s ur e to PM
2 5 A la nd u s ec u r r e nt c o nd itio n s in the Ralei g h-D
u rha
m
-C hapel H i l l
m
etr opo l ita n statistic al a r e a(
he n c efo rth r efe r r ed to a s the " Tria ng le Reg io n")
. In ad d itio n to c u r r e nt c o nd itio n s, tw oaltern ativ e la nd de v elop
m
e nt s c e n a rio s ar e a s s e s s ed in term
s of r eg io n al air qu al ity a ndC hapte r 2: Ba ck gr o u nd a n d L i te r atu r e R e view
A gr ow ing bod y of l iteratu r e e x ists e xp lo ring the relatio n sh i ps betw ee n the bu i lt
e n v iro nme nt a n
d
pub l ic he alth. A l ite r atu r e r e v iew of two prim
a ryb
od ie s of r e s e a r cha r e a s wa s u nde rtake n :
1
)
A p p l ic atio n s of la nd
u s e r egr e s sio n tom
odel lo c al air qu al ity; a nd2
)
Ex isting r e s e a r ch o n the bu i lt e n v ir o nm
e nt a nd airb
o r n e em
is sio n sT he he alth ef fe cts of chr o nic e x po s u r e to fi n e pa rtic u late
m
at te r a r e wel l-do c um
e nted in
the l ite r atu r e a nd thu s a r e n ot r e v iewed s epa r atel y he r e
(
s e e, fo r e x am
p le, Do cke ry et al1 9 9 3; Kr ewsk i et al 2 0 0 0; Lade n et al. 2 0 0 6; Pope et al 1 9 9 5
, 2 0 0 2
)
How e v e r, it sho ul dbe n oted that the pr e s e n c e of P
M
2 5 is h i g h l y c o r r elated w ith the pr e s e n c e of othe rair
bo r n e
pol luta nts, s u ch
a s c a rbo nm
o n o xi de(
C
O)
, h y dr o c a rb
o n(
H C)
, a nd
nitr oge no xi de s
(
N Ox)
fr om m
ob
i le s o u r c e s(
Ku n zl i et al
2 0 0 0)
. T hu s, the
h
e alt
h ef fe cts of
PM
2 5m
ayb
e a n ef fe ctiv e pr o x y for the he alth ef fe cts of a w i de v ariety of airbo r n ec o nta
m
in a nts a nd
PM
2 5m
ay the r efo r e be a n ef fe ctiv e o v e r al l ind ic ato r of u rba n airqu al ity.
La n
d U
s e Regre s sio nBr o ad l y, la nd u s e r egr e s sio n
m
odel ing is a sto cha stic te chni qu e that u s e s a defi n ed s et ofW
h i le the te rm la nd u s e r egr e s sio n infe r s that o nl y la nd u s e datam
ay be in the r egr e s sio nm
odel, the te rm
is am
is n om
e r - e xp
l
a n ato ry v a riab
le sm
ay in clu de a ny data that arespatial l y d istri buted o v e r the stud y a r e a In the u rba n c o nte x t, p
r e
d
icto r v a ria
b le sm
ayin clude la nd u s e cha r a cte riz atio n, a v e r age dai l y tr af f ic, populatio n de n sity, ho u s ehol
d
cha ra cte r istic s, or a ho st of othe r bui lt e n v ir o n
m
e nt cha r a cte ristic s. La nd u s e r egr e s sio nm
odel ing ha s be e n u s ed to pr ed ict spatial l y d istributed c o n c e ntr atio n s of air qu al ityi
nd ic ato r s(
Ho ek et al. 2 0 0 8)
.La n
d
u s e r egr e s sio n is a sto ch
a stic te chni
qu e, thu s la nd
u s e r egr e s si
o nm
od
els
r equir e lo c al a
m
b ie ntm
o nito ring data fo rm
odel c al i br atio n. Lo c al c al i br atio n a c c o u ntsfo r fa cto r s s u ch a s r eg io n al ba ck gr o u nd pol luta nt le v els, a v e r age
l
o c al m
ete o r olo
g ic al
c o nd itio n s, a nd lo c al a uto
m
otiv e f le et c om
po sitio n(
i.e., fi i elm
ix, v eh icle ty pem
ix, a ndf le e
t-a v e r age fu el ef fi cie n cy
)
. T he r e is l ittle c o n s e n s u s r ega rd ing the n um
be r of am b
ie ntm
o nito ring statio n s r equir ed
to ef fe ctiv el
y c al ib
r ate am
od
el to lo c al
c o nd it
io n s(
Ho ek etal 2 0 0 8
)
.W
h i le Ho ek et al n ote that am
aj
o rity of stud ie s u s e purpo s e-bui lt n et w o rks to
c ol le ct a la rge n u
m
be r of am
b ie nt c o nd itio n obs e r v atio n s, a n um
be r of stud ie s ha v euti l iz ed fi x ed r egulatory
m
o nito ring statio n s w ith am
u c h sm
al le r n um
be r of obs e r v ation s(
s e e, fo r e x am
p le,M
o o r e et al., 2 0 0 7; Ro s s et al. 2 0 0 7)
.In pr ed icting air qu al ity, la nd u s e r egr e s s
io n
m
ay be c o n si de r ed am
eth
odolog ic al
alte r n ativ e to che
m
ic al fate a nd tr a n spo rtm
odel ing. T he pr im
a ryb
e n efits of la nd
u s er egr e s sio n
m
odel ing a s c om
pa r ed to chem
ic al fate a nd tr a n spo rtm
odel ing a r e r elativ ec o
m
putatio n al sim
p l icity a nd ab i l ity to pr ed ict air qu al ity at fi n e spatial r e s olutio n s(
C yrys et al 2 0 0 5, He nde r s o n et al. 2 0 0 7) W
h i le adv a n c ed d ispe r sio nm
odels ha v es c ale, the c o
m
putatio n al a nd data requir em
e nts of s u chm
odelsm
ake them
infe a si b le forap p l ic atio n a c r o s s a n u rba n a r e a
(
s e e, fo r e x am
p le, Z w a ck et al. 2 0 1 1 a nd G r e c o et al.2 0 0 7
)
Fu rthe rm
o r e, the c om
putatio n al c om
pl
e x ity inh
e r e nt in chem
ic al fate a nd tr a n spo rtm
odelsh
a s d ir e ctl y li m
ited
eithe r th
e spatial re s olutio n of gr i ds or the ge ogr ap h ic s c ale ofa n al ysis in othe r stu
d
ie s(
Potog lo u et al 2 0 0 5, Z w a ck et al. 2 0 1 1)
.A n u
m
be r of stud ie s ha v e exp lo r ed the ab i l ity of la nd u s e r egre s sio n te chni qu e s toa c c u r atel y pr e
d
ict lo c al airq
u al ity. A r e c e nt r e v iew y iel ded 2 5 stud ie s(
Ho ek et al. 2 0 0 8)
;a n u
m b
e r of s ubs equ e nt stud
ie sh
a v eb
e e n c o nd
u cted sin c e the 2 0 0 8 r e view(
s e e, fo re x a
m
p le, Ho ek et al 2 0 1 1,M
a o et al 2 0 12)
Ex isting stud ie s ha v e shown that la nd u s er egr e s sio n c a n a c c u r atel y pr e
d
ict lo c al ai
r qu al ity ath
ig h spatial r e s olutio n : stud
ie s in thel
ite r atu r e r epo rt R^ v alu e s in the r a nge of 0 6-0.7
(
s e e, fo r e x am
p le, Bri g gs et al 2 0 0 0,Ho ek et al. 2 0 0 8, a n
d
Ho ek et al 2 0 1 1)
. Fu rthe rm
o r e, c om
pa r ativ e r e s e a r ch ha s r e v e aledthat la nd u s e r egr e s sio n
m
ethods a r e abl
e tom
odel lo c al air qu ali
ty w ith
a c c u r a cy equ alto o r e x c e ed ing that of che
m
ic al fate a nd tr a n spo rt models, thu s a ch ie v ing sim
i la r r e s ultsu sing a le s s c o
m
putatio n al ly e xpe n siv e te chni qu e(
Bri
g gs et al. 2 00
0, C yrys 2 00
5)
.W
h i le them
aj
o rity of lo c al air qu al ity la nd
u s e r egr e s sio nm
od
els fo c u s o nnitr oge n d io x i
d
e(
N O2)
, a n um
be r of stud ie s ha v e als o in v e sti gated the pote ntial of thete chni qu e to
m
odel PM
i o, PM
2 5, s o ot, v ol
ati l
e o rga ni
c c om
po u nds(
V O Cs)
, a nd
nitr oge no x i de
(
N O)
. Al
tho ug h the te chni qu e is sl ig htl ym
o r e r obu st in te rm
s of N O2 du e to thein c r e a s ed n um be r o
f
stud i
e s a nd
r ed
u c ed d
epe nd
e n cy ofl
o c al
N O2 c o n c e ntr atio n s o nr eg io n al ba ck gr o u nd le v els, P
M
2 5 stud
ie s ha v e y iel ded R ^v alu e s in the s a
m
e ge n e r al
r a nge a s N O 2 stud ie s
(
s e e, fo r e x am
p le, Ro s s et al 2 0 0 6, He nde r s o n et al 2 0 0 7,M
o o r e eta
l
. 2 0 0 7r egr e s sio n
m
odels to pr ed ict PM
2 5 is the la ck of spatial l y d istri butedm
o nito ring statio n st
h
at tr a ck PM
2 5W
itho ut the s e data, la nd u s e r egr e s sio nm
odelsm
ay n ot be wel lc al i br ated to lo c al c o n
d
iti
o n s a nd w i l l l i kel y pe rfo rm
po o rl y.Co
m
putatio n al sim
p l icity, the ab i l ity to pr ed ict air qu al ity w ith h i g h spatialr e s olutio n, a nd de
m
o n str ated a c c u r a cy in pre v io u s stud ie s pr o vi de stro ng argu
m
e nts fo re
m
p loy ing la nd u s e r egr e s sio nm
odels w he n c o n si de ring the ef fe cts of u rba n fo rm
o n airqu al ity a nd pu
b
l ic he alth at the lo c al
s c ale. He nd
e r s o n et al. e cho th is point, n oting that"
d
ispe r sio nm
odels that sim
ulate pol lutio n fate a nd
tr a n spo rt c a nb
e u s ef
ul
,b
ut a r e ofte nin fe a si b le at h i g h spatial r e s olutio n thr o ug ho ut la rge a r e a s"
(
He nde r s o n et al. 2 0 0 7,2 4 2 2
)
. La nd u s e r egr e s sio n, o n the othe r ha nd,"
c a n be u s ed to pr ed ict c o n c e ntr atio n s at
a ny spatiote
m
po r al r e s olutio n w ith in the fr am
ewo rk of a Ge ogr ap h ic Info rm
atio n S ystem
(
G
I S)
"(
He nde r s o n et al. 2 0 0 7, 2 4 2 2
) M
a r shal l et al. als o n ote that la nd u s e r egr e s si
o n"
is a h y
b
rid
em
p iri
c al-statistic al ap pr o a c
h
that c om b i
n e s c o n c e ntr atio n me a s u r em
e ntsw ith G I S
m
aps, thereb y o f fe ring a h i g h degr e e of spatial r e s olutio n"
(
2 0 0 9, 17 5 3)
. T hu s ,e x
i
sting stud ie s pr e s e nt s uf fi cie nt s up po rt fo r la nd u s e r egr e s si
o nm
odel ing a s a n ef fe ctiv eto ol fo r pr ed icting lo c al a
i
r qu al ity atfi
n e spatial r e s olutio n .A l inge ring is s u e
i
n th
e l ite r atu r e is u n c e rtainty r ega rd ing the tr a n sfe r ab
i l ity ofl
a nd
u s e r egr e s si
o n m od
el
sb
etwe e n u rb
a n a r e a s. Fu rth
e rm
o r e, a si gni
f
i c a nt pe r c e ntage ofe xisting stud ie s ha v e be e n u ndertake n in Eu r ope, w he r e de n s e r u rba n ag g lo
m
eratio n s, ad
i f fe r e nt sy stem
of e n vir o nme ntal r egulatio n s, d i f fe r e n t v eh icle f le et cha r a cte ristic s, a ndd i f fe r e nt pe r s o n al view s o n e n vir o n
m
e ntal r e spo n si b i l ity(
a nd thu s a s s o ciated d i f fe r e n c e sin e n vir o n
m
e ntal l y be n efi cial beha v io r s) m
ay l im
it the tr a n sfe r ab i l ity of Eu r ope a nm
odelsto t
h
e N o rth Am
e ric a n c o nte xt How e v e rr e v e aled the pote ntialof lo c al l y c al i br ated
m
odels to pr ed ict lo c al air qu al ity a c c u r atel y i ftr a n sfer r ed e v e n to c o ntr a sting u rba n a r e a s
(
Bri g gs et al 2 0 0 0)
A n ad d itio n al stud ys up po rts the tr a n sfe r ab i l ity of la nd u s e r egr e s sio n
m
odels, stating that "the r e is o nl y a
s
m
al l pe n alty in l im
iting la nd
u s e r egr e s sio nm
odels to a c o n siste ntl y defi n ed s et ofpr e
d
icto r v a riab le s"(
V ie im
e a u et al. 2 0 1 0)
. T h is stud
y is s om
ew hat l im
itedi
n thatV ie n n e a u et al o nl y a n al yz ed the tr a n sfe r a
b
i l ity of
N O 2 a nd
PM
i om
od
el
sb
etw e e n Gre atBritain a nd the Nethe rla nds Pop law sk i et al. als o c o n clude that the tr a n sfe r ab i l ity of
m
odels betw e e n citi
e s in Ca n ada is r elativ el y h i g h(
Pop lawsk i et al. 2 0 0 9)
; howe v e r ,Je r r et t et al fi nd that a
m
odel c al i brated in the Eu r ope a n c o nte x t do e s n ot e x p lain spatialv a r iatio n in Ha
m
i lto n, O nta rio, Ca nd
a(
Je r r et t et al
2 0 0 5)
. Th
u s,i
t s e em
s th
at la nd
u s er egr e s sio n
m
odels a r e ge n e r al l y tr a n sfe r ab le wi
th in the s am
eb
r o ad s o cietal a nd
r egu lato ry c o nte x t, s ub
j
e ct to r o utin e lo c al c ali b
r atio n. Stud ie s of the New Yo rk
m
etr opo l ita n a r e a a nd the Lo s Angele s u rba n a r e a ha v eb
r o ad l y dem
o n str ated the ab i l ityof la nd u s e r egr e s sio n
m
odel ing to pr ed ict lo c al air qu al ityw
ith s uf fi cie nt a c c ura cy(
R ^ =0 6 2 a nd 0 6 9, r e spe ctiv el y
)
in the N o rth Am
e ric a n c o nte xt(
Ro s s et al 2 0 0 6;M
o o r e et al.2 0 0 7
)
T he r efo r e, a lo c al l y c al ib
r atedm
od
el th
at ha sb
e e n shown pr e vi
o u sl y tob
eef fe ctiv e in the Un ited State s may
b
e tr a n sferab le to othe r sim
i la rm
etr opol ita n a r e a s inthe United State s.
A
n add
itio n al a rgum
e nt fo r the ge n e r al tr a n sfe r ab
i l ity of la nd
u s e r egr e s sio n a s ate c
h
ni qu e is th
e e x iste n c e o f c o n siste ntm
eth
ods in the l ite r atu r e r elating to pr ed icto rv a riab le s ele ctio n, pr ed
i
cto r v a riabl
e r efi
n em
e nt, c al i br atio n, a nd v al
id
atio n te chni
qu e s.Stu
d i
e s ha v e u s ed the s am
e ge n e r al methodolog ic al fr am
ewo rk inm
a ny c o ntr a sting u rba nla nd u s e r egr e s sio n
m
odels a r e a l in e a r c om
b in atio n of v a riab le s, in c lud ing am
odelc o n sta nt. Co
m
mo n exp la n ato ry v a riab
le in stud ie s pr ed i
cting PM
2 5 c o n c e ntr atio n sin clude tr af fi c de n sity a nd /o r inte n sity, la n
d
u s e cla s si fi c atio n, a nd
populatio n de n si
ty(
s e e, fo r e x am
pl
e, Ro s s et al 2 0 0 6, He nde r s o n et al. 2 0 0 7,
M
o o r e et al 2 0 0 7, a nd Ho eket al. 2 0 1 1
)
Re se arch s ug ge sts that the a c c u r a cy of la nd u s e r egr e s sio n is n otsigni fi c a ntl y af
f
e cted i f the fo rm of am
od
el that ha sb
e e n c al ib
r ated in a si m i la r c o nte xti
s adopted in a n ew u rba n a r e a a nd r e-c al ibr ated u sing lo c al a
m
b ie n tm
o nito ring data(
Pop lawsk
i et al. 2 0 0 9)
. Th
u s, it c a nb
e inf
e r r ed
that a la nd
u s e r egr e s sio nm
od
el
c o n sisting of a l in e a r c o
m
b in atio n of tr af fic de n sity a nd /o r inte n sity, la nd u s ecla s si fi c atio n, a nd populatio n
d
e n sity is ge n e r al l y ap p l ic ab le in the Tria ngl
e Reg io n ,s ub
j
e ct to c al i br atio n u sing lo c al am
b ie nt mo nito ring data.T
h
e Buil
tEn viron me nt and
A irQ
u al ityA n u
m b
e r of stud ie s ha v e e xp lo r ed the r elatio n sh i p betw e e n the bu il t e n v ir o nm
e nt a ndairbo r n e e
m
is sio n s A pri mary ai m of th is bod y of re s e a r ch ha s be e n to i de nti f y urba nf
o rm
s th
atm
ayb
e ef fe ctiv e in r ed
u ci
ng ag gr egate em
is sio n s o r im
pr o ving lo c al airqu al ity; howe v e r, fewe r stud ie s ha v e in cluded hu
m
a n e xpo s u r e to airbo r n e pol luta nts a sa n o utc o
m
e v a riab le Ge n e r al l y,"
a
m
ethodolog y to qu a nti f y v eh icle em
is sio n s[
that]
pr ogr e s s e s fr o
m
v eh icl
e a ctivit
y tom
ob
i le s o u r c e em i
s sio n s a nd di
spe r sio nm
odel
s"do
m
in ate s the l ite r atu r e(
Potog lo u a nd Ka n a r og lo u 2 0 0 5, 9 8) W
h i le pub l ic he alth is a ni
m
po rta nt c om
po n e nt of ma ny e x isti
ng studi
e s, stud
ie s that a s s e s s em
is sio n s in a nag gr egate s e n s e a nd stu
d
ie s that in c o rpo r ate air qu al ity models wi
th c o a r s e spatialr e s o
l
utio n a r el i m
ited in their ab
i l ityi
n v e sti gate e x po s u r e path ways at a n ef fe ctiv e s c al
eT ab le 1. Bui lt En vir o n
m
e nt a nd A irQ
u al ity L ite r atu r e Stu d y Stud yTy pe
Ge ograph y E m is sio n sa n d Air
Q
u al it yM
odel TypesIn depe nde nt Va ria ble
(
s)
lf gW*
Je rsey - " '' '
F le e t-afcfa ge
M
P GD epende n t Va riab le
(
s)
Si |
regate : ie i^
Sf
equiv ale nts i l
l
A g gr ega t e C O2A g gregate :H C, N O„
:, -C0
A irqu al ity:Oz o n e, N O2
Expo s u r e :Oz o n e N O: Populat
i
o n-wei g hted c o n c e ntr atio n s :PM
2 5, 'O3 ,
^
JA g gr egate :C O,N Ox, V O C,PM
A irqu al ity:O3, PM |o Expo s u r e : Oi, PMio Pe r ho u s ehol d:N
O
x,^$
i C O,V O C^^, ^
J
^
Pe r c ap ita :N Ox , V O C
A g gr egate :C O2 2 0 0 8 statistic al
Ba rt, 2 0 10 Cr o s s -s e ctio n al
lieha n cta!. Sc e n a rio 2 0 0 8 « I |il ».<
v,i
^
SM Bo r r ego et Sc e n a rio al 2 0 0 6C llrk et al, Cr o s s -2 0 1 1 s e ctio n al
D e R id de r et Sc e n a rio al , 2 0 08
Fr a nket al , Cr o s s 2 0 0 0 s e ctio nal
E U mem be r sta t es
Onta rio ,C A
I de al iz edcity
1 1 1 U Su rba n
a r e a s
Ruhr a r e a, Ge rma ny
A g gr egate mem be r state em is sio n s
MO BlL E S
g
, (n o d ispe r sion)
/^ ^
M E M O MAR S(
d ispe r sio n;2 k m gri d c el ls)N 'A
: M o nito ring data
MIMO S A;A U R O R A
(
d ispe r sio n , 2 k m gri d c el ls)K ing Co u nty, ;
. MO BH ^ Sa W A
Fr a nket al , 2 0 0 6 E w ing etal,, 2 0i87 Ko r a cin e t al , 2 00 9
Tc\ %' c t al. 2 0 10 .. ..
Ma nin s et al , 199 8
Ma r sha
i r
et al , 20 0 5Ma r shal l, 2 0 0 8 Ma r shallet
Potog lo u et al„ 2 00 5
Cr o s s -s e ctio n al Sc e n a rio
Sc ena rio
Pro
j
e ctio nSc e n ari o
K ing Co u nty
,
W
AUnited State s
South we st Cali fo r nia
R? U S u rba n
Mel bo u r n e, A U S
Sc e n a r i o f
d
c af
iz ed city "Sc e n a rio
Cr o s s
-Sc e n a rio
Li s (r eg io n al)
Va n c o u v e r
e
.<t
, c A .„ .„ Ham ilto n, Ontari o , C ASo ng cl; il., S uawiio Austin, TX 20 0 8 ,;:;
' - : ' //„ ' ■ .:,; Si nne o r nl. Sc e n a riu M iJv ^esi er n
20 07 I S
Sto a e e t al., Seea^rio
'
M
id we s t e r n 2 0 09' ' "
I' S
St o ne, 20 0 8 Long itud 4 5 U S c i tie s T R B,2 0 0 9 Sc e n ari o Uni ted State s
MO B I L E 6 2
V
M
T ela sticiti
e sEMF A C 2 00 2+ C A Mx dispe r sio n model w / 5x5 k m gri d
Nf O B I L E 6, s o u r c e
-r c c cRto r matrix (d ispe r sio n model) La nd-u s e-tr a n s
po rt model; dispe r sio n model
'
S ing le t
-om pa rtme n
f
'
model
(
u nifo rm c o n c e ntr atio n)Popu latio n de n sity-V K T ela sticity, f le et
-a v e MP G N O:la nd-u s e r e
gr e s sio n; 03 : ss
^
i^ j
n te r pQJm
m
M0 B I L E 5 C + L in e s o u r c e d ispe r sio n model (C A L IN E-4)a nd u ni\er sal kri ging M O I J IL U 6 2''
a nd CAMx \(0 , Mfl y
)
'
M O B I I.F
M
n o dispe rsr o n) F le et
-a v er -age MPG
(
tract lev el)N A: Monit o ring data VMT-de n sit
y ela sticity
C
»
ta
t i nity t^
ttlogy | » fWfe r u r al-to-u rba n tr a n s e ct C ha nge in a rti f iciala r e a ,pe r c ap ita G D PI de al iz ed cit>' fo rm
Population de n sity,
p
opulat io n c e ntr ality,tr a n sit s up p l ySc e n a rio s
Ho u s ehold de n sity, wo rk em p loyme ntde n sity, home em p loy mentde n sity,d ista n c e to wo r
l
^g i i iSs b lo ck J
i n sity „ „ Com po site w al kab i l ity inde xSc e n ari o s
3
»
a s*^
^ ^ s
«
a i Sce n a rio sBu sin c ss-as-ii<; i i.[l
Sc e n a rio s
&
n a rio s^ / -
W
j i ^
Sc e n a rio s
Nei g hbo rho od walkab i lity
N / A - n otl inkedto u rba n fo rm de s c riptiv ely
Se e n a rio s' ;
/
" ^"
}
"; ' '
'"
Sce nar i os
S
cftft arios -"Compo site spr aw l inde x Sc enari o s
A g gr egate : C O,N O^, S O2,V O C, PM (total); A ir qu al ity:Oi Prematu r e de aths :N O,. S Oj, P M ,,
-; .
A g gr egate : C O2
A ir
Q
u al ity;O3 Expo s u r e :O3,PM| o'\i
f
qu al ity:
C(
1 l \po s u r e :C OA g gr egate :C O2
A
i
r^
l
f
f
N O, 0 3A ir
Q
u al ity:( OA
i|
^
gaf6:K
0x. V O C Ai rqu al ity^Oj\
-gr e'j :il e CO \ (K P \ 1. \ 0 (
Ag grega t e :C O;
Br o ad l y, the l ite r atu r e e xp lo ring the bui lt e n v ir o n
m
e nt a nd air qu al ity c o n sists oft
w
om
ethodol
og ic al ap pr o a ch
e s : c r o s s-s e ctio n al stu
d i
e s c om
pa ring d i f fe r e nt u rba n a r e a sa nd s c e n a rio stud ie s w he r ein a n e x ist
i
ng u rb
a n a r e a o r a n i de al iz ed city is c om
pa r ed to av a riety of alte r n ativ e la nd dev elop
m
e nt s c e n a rio s Pol luta nts of inte r e st ha v e in cludedpri
m
ary pol lutants s u ch c a rbo nd
io xid
e(
C O2)
, c a rbo nd
io xid
e equiv ale nts(
C O2 equi.)
,N O x, V O Cs, s ul fu r d io xi de
(
S O2)
,C
O, a nd
pri m
a ry pa rtic ula
tem
at te r a nd s e c o nda rypol luta nts s u ch a s o z o n e
(
O3)
.W
h i le s om
e stud ie s c o n si der ind ivi du al prim
a ry pol luta nts,ot
h
e r stud
ie s u s e atm
o sph
e ricm
odel ing to c o n si de r a n um be r
of pol luta ntssi
m
ulta n e o u sl
y, in clud ing s e c o nda r
y pol luta nts s u ch
a s o z o n e De s c ri pti
v e statis
tic s of
theb
ui lt e n v ir o nm
e nt ha v e in cluded qu a ntitativ em
e a s u r e s s u ch
a s wal kab i l ity, ho u s ehol dde n sity, e
m
p loym
e nt de n sity, d ista n c e to wo rk
, c e n su s b lo ck de n sity, a nd othe r s(
Fr a nk etal 2 0 0 0, Fr a nk et al 2 0 0 6
)
A signi fi c a nt dr awb
a ck of
s c e n a rio studi
e s is the ge n e r al la ck
of
d
e s c ri ptiv e statistic s of the bui lt e n v ir o nm
e nt: alte r n ativ el
a nd de v elopm
e nt s c e n a rio sa r e ge n e r a
l
l y de s c r ibed
in ge n e r al, qu al itativ e
te rm
sW
h i le it isdi f f
i c ult tod
r awge n e r al iz atio n s ba s e
d
o n the e xisting l ite r atu r e du e to v a riatio n in stud y de si gn a ndv a riatio n in stud y de si gn a nd c o n clu sio n s, the e x isting
b
od
y of r e s e a r ch h
a s r e a ch
ed
s e v e r al intri gu ing c o n clu sio n s a nd ha s begu n to elu ci
d
ate the c om
p le x r elatio n sh
i p thate x ists betwe e n u rba n fo r
m
a nd air qu al ity. In ge n e r al, "s
m
art gr ow th" i de als s u ch a sd
e n sity a nd l
a nd
u s ed
iv e r si
tyh
a v e sho
wn pr om
is ein
im
pr o ving ai
r qu al i
ty; how e v e r,s o
m
e stud
ie s ha v e sh
own that in n o v atio n s in the v eh icle fl e et, s u ch a s the ad
optio n ofh
y brid
ele ctric v eh icle s
a nd
p lug-inh
y bri
d
s, a r e mo r e ef fe ctiv e in im
pr o ving air qu al ityt
h
a n u rba n fo rm in
te r v e n tio n s(
So ng et al
. 2 0 0 8A pe r siste nt sho rtc om ing of th is l ite r atu r e is the la ck air qu al ity pr ed ictio n s w ith
h i g h spatial r e s olutio n . A s i l lu str ated in T ab le 1, n e a rl y al l stud ie s that c o n si de r air
qu al ity a s a n o utc o
m
e r el y upo n gri d ded chem
ic al fate a nd
tr a n spo rt model
s w ith c o a r s espat
ia
l r e s o lutio n T wo e x c eptio n s e xist in the l ite r atu r e r e v iewed. An a n al ysis ofVa n c o u v er, British Colu
m
b ia, Ca n ada, in te rm
s of w al kab i l ity a nd air qual ity u s ed la ndu s e r egr e s sio n to pr e
d i
ct ai
r qu al i
ty ath
i g h spat ial r e s olutio n s(M
a r shal l et al 2 0 0 9)
.A d
d
itio n al l y, a stud y of tr a n spo rtatio n em
is sio n s in Ham
i lto n, Onta r io, Ca n ada u s e s al
in e s o u r c e d ispe r sio nm
od
el
a nd
u ni
v e r s al kri g ing to pr ed ict air qu ali
ty at h i g h spatialr e s olutio n
W
h i le th is stud y do e s n ot u s e la nd u s e r egr e s sio n, the c om
b in atio n of a l in es o u r c e
d
ispe r sio nm
odel a nd u niv e r s al kri g ing im
pr o v e s spatial r e s olutio n c om
pa r ed tope e r stu
d
ie s. H ow e v e r, th is stu
d
y is l im i
ted
be c a u s e the C A L I N E-4
li
n e s o u r c em
odelu s ed is c o
m
putatio n al l y l i m ited to a n al yze o nl y tw e nty(
2 0)
l inks a nd tw e nty(
2 0)
r e c epto r n o
d
e s sim
ulta n e o u s
l
y; the r efo r e, a ge n e r al iz ed r o ad n etwo rk is u s ed fo r a n al ysisa nd u niv e r s al kri g ing is ap p l ied betwe e n r e c epto r points, thu s i gn o ring pote ntial ly
i
m
po rta nt spatial v a riatio nb
etwe e n r e c epto r points(
Potog lo u a nd Ka n a r og lo u 2 0 0 5)
T h is r e s e a r ch bui l ds upo n the e x isting bod y of w o rk
b
y ap p l y ing ala n
d
u s e r egr e s sio n
m
od
el to alte r n ativ e la ndd
e v elopm
e nt s c e n a rio s, thu s al low ing fo r air qu al ity a nd
e x po s u r e pr ed ictio n s w ith h i g h spat
i
al r e s olutio n w itho ut n e edi
ng tom
ake simp l i f y inga s s u
m
ptio n s du e to c om
putatio n al l im
itatio n sW
h i le s om
ew hat clo udedb
y c om
p l ic ated r e s e a r ch de si gn s, a fu ndam
e ntalc o
m
po n e nt of th
e abo v e stud ie s is the r elati
o n sh
i pb
etw e e n theb
uil
t e n vir o nm
e nt a nd
tr a v el beha v io r
, in clud ing
m
ode choic e, c om m
ute pat te r n s, a nd
tri p le ngth Pr agm
ati
c all
y,i
s, u rba n fo rm
a nd chara cteristic s of the bui h e n vir o nm
e nt shape ind ivi du al tr a v elbeha vior, w h ich in tu r n af fe cts total v eh icle
-k i lo
m
ete r s tr a v el led
,
m
odal choic e, a ndu
l
tim
atel y air qu al ity Few stud ie s of th
e bui
lt e n v ir o nm
e nt a nd air qu al ity integr ate afo u r-ste
p r eg io n al tr a n spo rtatio n de
m
a nd model into the r es e arch fr am
ewo rk; th
u s, th
ein clu sio n of a c al i br ated fo ur-ste
p tr a n sportatio n de
m
a ndm
odel in th
is r e s e a r ch is a nC hapte r 3:
M
ethodolog yT h is re s e a r ch u s e s thr e e c o up led
m
odels to in v e sti gate how u rba n fo rm
, tr a v elb
eha v io r, air qu al ity, a ndh
um
a n e xpo s u r e tofi
n e pa rti
c ul
atem
at te ri
nte r a ct a nd
ulti
m
atel y inf lu e n c e publ i
c he alth. A tr a n sportatio n dem
a ndm
odel is fi r st u s ed to pr ed icttr af fi c c o nd itio n s thr o ug ho ut the Tria ng le Reg io n A la nd u s e r egr e s sio n
m
odel, w h ichu s e s pr ed icted tr af fi c c o nd itio n s a s o n e of
i
ts e xp la n ato ry v a riab
le s,i
s th
e n u s ed
to pr ed i
cta nnu al a v e r age P
M
2 5 c o n c e ntr atio n s A ri
sk a s s e s sm
e ntm
odel is the n u s ed to e stim
ateal l
-c a u s e mo rta
l
ity a s s o ciated
w ith
e xpo s u r e to pr ed icted a n n u al a v e r age PM
25c o n c e ntr atio n s. T he
l
a nd
u s e r egr e s si
o nm
od
el is c ali b
r ated
fo r th
e r egi
o n u si
ng e xi
stinga
m
b ie ntm
o nito ring data. Ex isting c o nd
itio n s a r e r efe r r ed to a s the ba s e c a s e T woalte r n ativ e la nd
d
e v elopm
e nt s c e n a rio s a r e ge n e r ated in o rde r to a s s e s s the ef fi c a cy ofv a rio u s u rba n fr o
m
inte r v e ntio n s in te rm
s of im
pr o ving reg io n al air qu al ity a nd redu cingh
um
a n expo s ur e to partic ulatem
at te r.W
h i le the spatial d istri butio n of popu latio n de n sitya n
d
em
p loym
e nt a r e alte r ed in th
e two al
te r n ativ e la nd de v elopm
e nt s c e n a rio s, p h ysic al
i
nf
r a str u ctu r e a nd
r egi
o n ald
em
ogr ap hi
ci
nf
o rm
ati
o n a r eh
eld
c o n sta nt, the r eb
y al low ingc ete ris pa ri
b
u s c om
pa ris o n s am
o ngst alte r n ativ e la nd de v elopm
e nt s c e n a rio s,i
n clud
ing£ -,
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K 5^
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and U
s eD
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a s e
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ativ e Dev elopm
e n t Sc e n a riosLa ndUs eDaia
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Us e
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n al
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s= Ex
po s u r e Bui lt
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m
de nof D is e a s e
M
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el 2
L
a nd
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s eR
e gr e s si
o nI
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r a n sp
o rtati
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xp
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i
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o utin e
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o nito ring Netwo rkF i gu r e I Co up le
d
M
odel Re s e a r ch
Schem
aticOver view o
f
the Study Reg io nT he Re s e a r ch Tria ng le a r e a of North Ca r ol in a, c o n sisting of Ralei g h, Du rha
m
, Ca ry,C hapel H i l l, a nd a n u
m
be r of sm
al le rm
u nici pal itie s, is a spr aw l ing u rba n ag g lom
e r atio ni
n th
e Pi
ed m
o nt r eg io n of c e ntr al N o rth Ca r ol in a T he 2 0 1 0 populatio n of the Ralei g h-Du rha
m
-Ca ry Co
m
b in ed Statistic al Ar e aw
a s 1,7 4 9,5 2 5 pe r s o n sb
a s ed o n Ce n s u se sti
m
ate s(
U S Ce n s u s Bu r e a u, 2 0 10a)
. T he stud y a r e a defi n ed b y the spatial e xte nt of
the Tria ng le Reg io n al
M
odel(
T RM )
, w h ich
c o ntain s al l
of
Du rham
, Or a nge, a nd
W
ak
ec o u ntie s a n
d
po rtio n s of A lam
a n c e, Ca sw el l
, C hatham
, Fr a nk l in, Gr a n vi l le, Ha r n et t,John sto n, N a sh, a nd Pe r s o n c o u ntie s. T he stud y a r e a, alo ng w ith 2 0 10 populatio n de n s
i
tyg
H i llsbo r o ug h
I Xuli am
Ral ogb
Chapel
m
i lP itt sbor o
Majo r Ro ads
Co u nty Bo u nda rie s
Pe r so n s pe r S qu a r e
M
fl e< 7 5 0
75 1 -1.50 0
1,5 0 1 - 2
,2 5 0
2.2 5 1 - 3
.0 0 0
3,0 0 1 - 4
,50 0
4,50 1 - 6
,0 0 0
6.00 1 - 7
.5 0 0
7,5 0 1 - 9
,0 0 0
9,00 1 - 1 2
.00 0
12.0 0 1
-F i gu r e ! . Stu
d
y Ar e a Ov e r vi
ewT he Tria ng le Reg io n ha s s e v e r al si gni fic a nt c e nte r s of e
m
p loym
e nt. Re s e a r ch Tria ng lePa rk
(
R T P)
c o ntain s a la rge n um b
e r ofj
ob
s in ind
u stri
e s s u ch a s p ha rm
a c e utic al
s,info r
m
atio n te ch
n olog y, a nd
b i
ote chn olog y R T P in the c e nte r of the r eg io nge ogr ap h ic al l y, e x a c e rbating spatial
m
ism
atch bet w e e n p la c e s of r e si de n c e a nd p la c e s of
e
m
p loym
e nt at the r eg io n al le v el a ndm
agni f y ing r eg io n alm
ob i l ity n e eds Othe r le ad ingRalei g h, the Un iv e r sity o f N o rth Ca r ol in a at C hapel H i l l, Duke Univ e r sity in Du rha
m
,a nd N o rth Ca r ol in a State Univ e r sity in Raleig h T he r eg io n is h i g h l y a uto-d
epe nde nt,
w ith a priv ate v eh icle
m
ode sha r e(
in clud ing c a rpo ol ing)
of 8 9.7%
a s e sti mated b y the2 0 10 A
m
e ric a n Com m
u nity Su r v ey 5-ye a r e sti
m
ate s(
U S Ce n s u s Bu r e a u, 2 0 1 0 b)
A ltho ug h f ix ed-r o ute tra nsit s ervic e is p la n n ed for the n e ar futu re, the Triang le Reg io n
c u r r e ntl y r el ie s s o
l
el
y o nb
u s tr a n sit a nd is s e r v ed b
y s e v e r al l
o c al tr a n sit age n cie s,s e v e r al u n iv e r sity
-a
f
fil iated tr a n si
t age n cie s, a nd o n e r eg io n al tr a n sit age n cy T he
Tria ng le Reg io n su f fe r s fr o
m
inte rm
it te nt po o r air qu al ity In 2 0 10, 1 1 7 days w e r e
r e c o r
d
ed
w ith am
od
e r ate A irQ
u al ity Ind
e x a nd fi
v e(
5)
d
ays we r e c o n sid
e r ed "u nh
e alth yfo r s e n sitiv e gro ups"
(
U nited State s En viro nm
e ntal Prote ctio n A ge n cy, 2 0 1 0)
Pa rtic ulatem
at te r c o n c e ntr atio n s a r e ge n e r al l ym
ode r ate a nd
ha v e be e nd
e c r e a sing in the r eg io nsi gni fi c a ntl y o v e r ti
m
e(
United
State s En vir o nm
e ntal Pr ote ctio n A ge n cy, 2 0 1 2)
T he Tria ng le Reg io n ha s
b
e e n shaped b y a h isto ry of spr aw l-e n ab hng pol icy ,
r e s ult
i
ng in ad
e c e ntr al
iz ed
a nd la rgel
y a uto-d
epe nde nt
b
ui l
t e n vi
r o nm
e nt T hu s, fr om
apol icy perspe ctive, the Tria ng le Reg io n s erv e s a s a n
"
u rba n labo r ato ry" o
f
s orts ina s s e s sing the pote ntial of pol icy inte r v e ntio n s to
m
a n age the ef fe cts of spr aw l ing la nd u s epat te r n s. D e c e ntr al iz e
d
em
p loym
e nt a nd
ho u si
ng pat te r n s, l i
m
ited
tr a n sit s e r vic e,r elativ el y w e ak r eg io n al go v e r n a n c e
, a nd
j
u risd ictio n al e xtern al itie s c om
b in e to pr e s e ntm
a ny d i f fi c ultie s to pol icym
ake r si
n r edu cing a utom
ob
i led
epe nd
e n cy a ndm
ob i le s o u r c ee
m
is sio n s. Fu rthe rm
o r e, ind ivi du al m
u nici pal itie s a r e l i m ited in their pol icym
ak ingfl e x i
b
i l ity du e to state pr e em
in e n c e o v e r lo c al go v e r nm
e nt in N ort h Ca r ol in a. No rthCa r o
l i
n a is a D i l lo n 's Rule state; thu s, lo c a
l
go v e r nm
e nts mu st pu r s u e e n ab
l ingm
e sta
b
l ished
legal pr e c ede nt w ith in the state. T he bui lt e n vir o nm
e nt cha r a cte ristic s of theTria ng le ar e e
m
b lem
atic ofm
a ny u rba n ag g lom
e r atio n s a c r o s s the n atio n ; thu s, th is"
u rba n labo r ato ry
"
pr e s e nts an op po rtu nity to in v e sti gate the c o n n e ctio n s a
m
o ng u rba nfr o
m
, air qu al ity, a nd he alth ef fe cts of hum
a n e xpo s u r e to pa rtic ulatem
at te r fr om
both a na c ade
m
ic a nd a pol icy-m
ak ing pe r spe ctive.
T
h
e Tria ng le Reg io n alM
odel
T he Tria ng le Reg io n al
M
odel(
T RM )
is u s ed to pr ed ict tr a n spo rtatio n n etwo rk f lowsthr o ug ho ut the r eg io n T he
m
odel, c al i br ated via ho u s ehol d tr a n spo rtatio n s u r v eys,pr ed icts tr a n spo rtatio n de
m
a nd betw e e n 2,6 7 8 spatial l y d is c r ete tr a n spo rtatio n a n alys e sz o n e s
(
T A Zs)
w ith
in the Tria ng le Reg io n. T A Zs a r e ge n e r al l y ag g lom
e r atio n s of c e n s u ss e v e r al c e n s u s b lo cks, a
l
tho ug h "spe cial u s e
"
T A Zs
m
ayb
e a s sm
al
l a s a sing le p la c e ofe
m
p loym
e nt Fo rm
al l y, the T RM
is de s c ri bed a s a "tr ad itio n al
f
o u r-step model w ith s o
m
ee nha n c ed fe atu r e s de si gn ed to
m
e et the e v olving state of the pr a ctic e inm
ulti-m
odal
tr a v el
d
em
a ndm
odehng"(
Tria ng le Reg io n alM
od
el Se r v ic e Bu r e a u, 2 0 1 1, 3)
T hetr ad itio n al steps of a tr a n spo rtatio n
d
em
a nd m
odel a r e 1)
tri p ge n e r atio n ; 2)
tri pd
i
str ib
utio n ; 3)
m
ode ch
oic e; a nd
4)
tri p a s si gnm
e nt. T he T RM
fo r e c a sts both pa s s e n ge ra nd fr ei g ht tr af fi c in the A
M
pe ak, the PM
pe ak, a nd al l othe r tim
e s(
i e , of f-pe ak
)
.Pa s s e nge r tri ps a r e fo r e c a st fo r priv ate v eh icle s, pub l ic tr a n sit, a nd n o n
-
m
oto riz edm
od
e s ,in clud ing b icycle a nd pede stria n tri ps Priv ate v eh icle s a r e fu rthe r d i f fe r e ntiated into
sing le o c c upa n cy v eh icle s, 2
-pe r s o n o c c upa n cy v eh icle s, a nd 3+ pe r s o n o c c upa n cy
v e
h
icle s Pub
l ic tr a n siti
s d i ff
e r e ntiated into lo c alb
u s, e xpr e s s bu s a nd
r ai l; r ai l is o nl ys
i m
ulated in f iitu r e s c e n a ri
o s w ith in the T RM
. Ac c e s sm
od
e s fo r pub l
ic tr a n sit in clud
ewal k, pa rk a nd ri de, a nd k is s a nd ride. Fr ei g ht tri ps a r e e sti
m
ated fo r a uto s, p ick
tr u c
k
s. T hem
odel in clude s a n ite r ativ e fe ed ba ckm
e cha nism
to e n s u r e a c c u r atec o n v e rge n c e
(
Tria ng le Reg io n alM
o del Servic e Bu r e a u , 2 0 1 1)
T he T RM
is e x e c utedw ith in Tr a n sC A D 5 0 bu i l d 1 8 8 0 T he c o
m
p lete T RM
str u ctu r ei
s pr e s e nted i
n F i gu r e 3.•
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