4
2014 CORDON COUNT TRANSPORTATION PLANNING This Bulletin highlights key findings and trends of vehicle travel patterns in the Region of Peel based on the 2014 Cordon Count Program. It includes an analysis of changes in inter-regional and inter-municipal trips by automobiles, trucks, and GO Rail, as well as automobile occupancy. www.peeldatacentre.ca Source: 2014 Region of Peel Cordon Count Program. APRIL 2015 WHAT IS THE CORDON COUNT PROGRAM? The Cordon Count Program involves counting vehicles crossing selected stations over a 15-hour period from 5:30 a.m. to 8:30 p.m. Information collected also includes vehicle type and occupancy. The 2014 program included 128 stations, most of which were located on municipal, Regional or other physical boundaries. The Program was undertaken during April to May and October. STATIONS, SCREENLINES & CORDONS A series of successive counting stations were grouped to form a “screenline”. A “cordon” refers to a geographic area enclosed by a set of screenlines. The map on this page shows the Region of Peel’s stations and screenlines counted in 2014. BENEFITS OF THE PROGRAM Cordon Count data is used by both the Region and area municipalities for setting transportation policy and determining transportation infrastructure investments. The Program database is used to forecast future vehicle volumes as well as transit ridership. The Region uses the data to validate the Region of Peel Travel Demand Forecasting Model. WHAT ARE THE TRAVEL TRENDS IN PEEL? The next three pages illustrate the changes in inter-regional and inter-municipal trips, automobile occupancy, station volumes, proportion of commercial vehicles, as well as GO Transit ridership. The Cordon Count database is available to the public through the Data Management Group at the University of Toronto. MORE INFORMATION For further information on the Region of Peel Cordon Count Program please contact: Region of Peel Transportation Division E-mail: [email protected] Website: www.peelregion.ca/planning CORDON COUNT STATIONS & SCREENLINES Screenlines Peel West Peel North Peel East Mississauga/Brampton Brampton/Caledon Screenline Stations Peel West Peel North Peel East Mississauga North Brampton North Other QEW 19 17 20 4 403 1 3 5 401 407 410 15 6 16 107 7 427 8 10 4 14 14 1 1 4 9 8 50 7 7 10 19 24 24 22 12 403 409 5 407 11 107 109 136 136 150 2 6 150 Toronto Pearson International Airport Lake Ontario MISSISSAUGA RD MAVIS RD OLDE BASE LINE RD STEELES AV E MAYFIELD RD K I N G ST W THE GORE RD F I N C H A V C H ARLES TO N SR DERRY RD E DIXIE RD STEELES AV W Q U E ENSWAY E D E R R Y RD W BOVAIRD DR W K ING ST MAIN ST W I N S T O N C H U R C H I L L B V AIRPORT RD DUNDAS ST W INDIAN RD S O UTH SHERIDA N WY DUNDAS ST E SECOND LI W BURNHAMTHORPE RD W GOREWAY DR LAKESHORE RD E M ATHES ON BV E WIL LIAMS PY E QUEEN ST W R I D G E W A Y D R QUEEN ST E PATTERSON SR RA THB U R N RD E C L ARK BV MCLAUGHLIN RD N CAL-E GARAFRAXA T OWN LI BOSTON MILLS RD BA L M O R A L D R LAKESHORE RD W TRU SCOTT DR EGLINTON AV E EGLINTON AV W VODDEN ST E HURONTARIO ST B R ISTO L RD W PET E R R O B ERTSO N BV G L E N E R I N D R HEALEY RD WILLOUGHBY RD BLOOR ST BURNHAMTHORPE RD E RAT H BU R N R D W ORE N D A R D COUNT RYSIDE DR KENNEDY RD N TORBRAM RD M I LL C R E E K D R DREW RD CASTLEMORE RD E D W A R D S B V A R G E N T I A R D THE COL L EGE W A Y HEART LAKE RD COOLI HANS S R CLARKWAY DR MOUNT WOLFE RD ALBION VAUGHAN RD C O TT RE L LE B V WANLE SS DR MCLAUGHLIN RD BEECH GROVE SR FINNERTY SR CASTLEDERG SR INNIS LAKE RD MCLAREN RD HORSESHOE HILL RD THE GRANGE SR 109 COLERAINE DR H I GH P OINT RD OLD SCHOOL RD HUNSDE N S R 50 HY MAIN ST S MAIN ST N MCLAUGHLIN RD S HERITAGE RD TENTH LI W TOMKEN RD CHINGUACOUSY RD DUFFYS LN NINTH LI BRAMALEA RD CREDITVIEW RD N O R T H P ARK DR MOUNT HOPE RD MOUNTAINVIEW RD KENNEDY RD HUMBER STATION RD M O U N T P L E A S A N T R D ST. ANDREW'S RD CALEDON KING TOWN LI S EAS TG A TE PY SHAWS CREEK RD ALBION TL CENTREVILLE CREEK RD 95 215 165 413 148 415 414 261 14 16 410 359 17 15 255 361 362 188 164 303 409 163 408 224 225 222 221 220 219 223 280 266 198 13 143 271 350 144 145 230 279 12 141 11 159 130 199 400 402 403 170 171 172 173 174 175 176 177 178 151 179 180 181 182 169 184 185 186 187 335 330 195 189 89 190 82 191 160 161 83 192 84 85 193 194 162 363 80 96 210 106 131 102 104 105 103 245 79 77 78 134 407 500 140 109 244 246 107 243 240 241 108 242 101 75 334 73 150 99 152 97 98 6 100 94 62 65 10 9 142 411 61 8 7 414 4 3 5 2 1 0 1 2 3 4 5 Kilometres

2014 Cordon Count Bulletin - April 2015 · 2014 CORDON COUNT TRANSPORTATION PLANNING ... 1 1 4 9 8 0 7 7 10 9 4 4 2 2 3 9 5 7 1 7 109 136 136 150 2 6 150 Toronto Pearson International

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2014 CORDON COUNT TRANSPORTATIONPLANNING

This Bulletin highlights key �ndings and trends of vehicle travel patterns in the Region of Peel based on the 2014 Cordon Count Program. It includes an analysis of changes in inter-regional and inter-municipal trips by automobiles, trucks, and GO Rail, as well as automobile occupancy.

www.peeldatacentre.caSource: 2014 Region of Peel Cordon Count Program.

APR

IL 2

015

WHAT IS THE CORDON COUNT PROGRAM?The Cordon Count Program involves counting vehicles crossing selected stations over a 15-hour period from 5:30 a.m. to 8:30 p.m. Information collected also includes vehicle type and occupancy. The 2014 program included 128 stations, most of which were located on municipal, Regional or other physical boundaries. The Program was undertaken during April to May and October.

STATIONS, SCREENLINES & CORDONSA series of successive counting stations were grouped to form a “screenline”. A “cordon” refers to a geographic area enclosed by a set of screenlines. The map on this page shows the Region of Peel’s stations and screenlines counted in 2014.

BENEFITS OF THE PROGRAMCordon Count data is used by both the Region and area municipalities for setting transportation policy and determining transportation infrastructure investments. The Program database is used to forecast future vehicle volumes as well as transit ridership. The Region uses the data to validate the Region of Peel Travel Demand Forecasting Model.

WHAT ARE THE TRAVEL TRENDS IN PEEL?The next three pages illustrate the changes in inter-regional and inter-municipal trips, automobile occupancy, station volumes, proportion of commercial vehicles, as well as GO Transit ridership.

The Cordon Count database is available to the public through the Data Management Group at the University of Toronto.

MORE INFORMATIONFor further information on the Region of Peel Cordon Count Program please contact:

Region of Peel Transportation DivisionE-mail: [email protected]: www.peelregion.ca/planning

CORDON COUNT STATIONS

& SCREENLINES

Screenlines

Peel West

Peel North

Peel East

Mississauga/Brampton

Brampton/Caledon

Screenline Stations

Peel West

Peel North

Peel East

Mississauga North

Brampton North

Other

QEW

19

17

20

4

403

1

3

5

401

407

410

15

6

16 107

7

427

8

10

4

14

14

1

1

4

9

8

50

7

7

1019

24

24

22

12

403

409

5

407

11

107

109

136

136

150

2

6

150

TorontoPearson

InternationalAirport

L a k e O n t a r i o

MIS

SISS

AUG

A RD

MAV

IS R

D

OLDE BASE LINE RD

STEELES AV E

MAYFIELD RD

KING

ST W

THE

GO

RE R

D

F INCH

A

V

CHARLESTON SR

DERRY RD E

DIX

IE R

D

STEELES AV W

QUEENSWAY E

DERRY

RD

W

BOVAIRD DR W

KING ST

MAI

N S

T

WIN

STO

NCH

URC

HIL

LB

V

AIRP

ORT

RD

DUNDAS ST W

INDIAN RDSOUTH SHERIDAN WY

DUNDAS ST E

SECO

ND

LI W

BURNHAMTHORPE RD W

GO

REW

AY D

R

LAKESHORE RD E

MATHESON BV E

WILLIAMS PY E

QUEEN ST W

RIDG

EWAY

DR

QUEEN ST E

PATTERSON SR

RATHBURN RD E

CLARK BV

MCL

AUG

HLI

N R

D N

CAL-E GARAFRAXA TOWN LI

BOSTON MILLS RD

BALMORALD

R

LAKESHORE RD WTRUSCOTT DR

EGLINTON AV E

EGLINTON AV W

VODDEN ST E

HU

RON

TARI

O S

T

BRISTOL RD W

PETER RO BERTSON BV

GLEN

ERIN

DR

HEALEY RD

WIL

LOU

GH

BY R

D

BLOOR STBURNHAMTHORPE RD E

RATHBURN RD W

ORENDA RD

COUNTRYSIDE DR

KEN

NED

Y RD

N

TORB

RAM

RD

MILLCREEK

DR

DREW RD

CASTLEMORE RD

EDW

ARD

SBV

ARGENTIA

RD

THE COLLEGEWAY

HEA

RT L

AKE

RD

COOLIHANS SR

CLAR

KWAY

DR

MO

UN

T W

OLF

E RD

ALBI

ON

VAU

GH

AN R

D

CO

TTREL LE BV

WANLESS DR

MCL

AUG

HLI

N R

D

BEECH GROVE SR

FINNERTY SR

CASTLEDERG SR

INN

IS L

AKE

RD

MCL

AREN

RD H

ORS

ESH

OE

HIL

L RD

THE GRANGE SR

109

COLE

RAIN

E D

R

HIGHPOINT RD

OLD SCHOOL RD

HUNSDEN SR

50 H

Y

MAI

N S

T S

MAI

N S

T N

MCL

AUG

HLI

N R

D S

HER

ITAG

E RD

TEN

TH L

I W

TOM

KEN

RD

CHIN

GU

ACO

USY

RD

DU

FFYS

LN

NIN

TH L

I

BRAM

ALEA

RD

CRED

ITVI

EW R

D

NORTH PARK DR

MO

UN

T H

OPE

RD

MO

UN

TAIN

VIEW

RD

KEN

NED

Y RD

HU

MBE

R ST

ATIO

N R

D

MO

UN

TPL

EASA

NT

RD

ST. A

ND

REW

'S R

D

CALE

DO

N K

ING

TO

WN

LI S

EASTGATE PY

SHAW

S CR

EEK

RD

ALBI

ON

TL

CEN

TREV

ILLE

CRE

EK R

D

95

215

165

413

148

415

414

261

14

16

410

359

17

15

255

361

362

188

164

303

409

163

408

224

225

222

221

220 219

223

280

266

198

13

143

271350

144145

230

279

12141

11

159

130

199

400

402

403

170171 172

173 174175

176177

178 151

179 180 181

182 169

184 185186

187

335 330

195189

89 190 82 191 160161

83

192 84 85

193

194 162

363

80

96

210

106

131

102

104

105

103

245

79

77

78

134407

500140109

244246

107

243240241

108

242

101

75

334

73

150

99

152

97

98

6

100

94

62

65

10

9

142

411

61

8

7

414

4 3

5

2

1

0 1 2 3 4 5

Kilometres

2004

SingleOccupant

Auto

MultiOccupant

Auto

88% 12%2006

SingleOccupant

Auto

MultiOccupant

Auto

86% 14%2009

SingleOccupant

Auto

MultiOccupant

Auto

90% 10%

2011

SingleOccupant

Auto

MultiOccupant

Auto

86% 14%2014

SingleOccupant

Auto

MultiOccupant

Auto

89% 11%

VEHICLE OCCUPANCY

1.134

1.152

1.110

1.160

1.115

1.081.091.101.111.121.131.141.151.161.17

2004 2006 2009 2011 2014

AVERAGE AUTO OCCUPANCY

Source: 2014 Region of Peel Cordon Count Program.

1051000

1145200

1086509

1145283

1228888

950000

1000000

1050000

1100000

1150000

1200000

1250000

2004 2006 2009 2011 2014

VEHICLES CROSSING PEEL EAST BOUNDARYSCREENLINE

483500497900 492280

535226

555648

420000

440000

460000

480000

500000

520000

540000

560000

580000

2004 2006 2009 2011 2014

VEHICLES CROSSING PEEL WEST BOUNDARYSCREENLINE

3830041000 42863

40454

52323

0

10000

20000

30000

40000

50000

60000

2004 2006 2009 2011 2014

VEHICLES CROSSING PEEL NORTH BOUNDARYSCREENLINE

413600440200 431197

456745503951

0

100000

200000

300000

400000

500000

600000

2004 2006 2009 2011 2014

VEHICLES CROSSING MISSISSAUGA/BRAMPTON BOUNDARY SCREENLINE

124700 124200134592

141760

108431

0

20000

40000

60000

80000

100000

120000

140000

160000

2004 2006 2009 2011 2014

VEHICLES CROSSING BRAMPTON/CALEDON BOUNDARY SCREENLINE

BRAMPTON/CALEDON SCREENLINE From 2011 to 2014, there was an increase in vehicle trips of 23% (~33,000 trips).

AVERAGE AUTO OCCUPANCYAverage auto occupancy decreased from 1.16 persons in 2011 to 1.11 persons in 2014. In 2014, around 90% of vehicle trips were made in single occupant automobiles.

PEEL NORTH SCREENLINEThis Screenline includes 5 stations along the Region’s northern boundary. From 2011 to 2014, there was an increase in vehicle trips of 29.3% (~12,000 trips).

PEEL EAST SCREENLINEPeel East continues to be the busiest screenline, as more than 65% of inter-regional trips cross this boundary.

PEEL WEST SCREENLINEThis Screenline includes 18 stations along the Region’s western boundary. From 2011 to 2014, there was an increase in vehicle trips of 3.8% (~20,000 trips).

INTER-REGIONAL TRIPSTra�c along Regional boundaries continues to increase. In 2014, there were 597,896 more vehicles crossing Regional boundaries than in 2011.

MISSISSAUGA/BRAMPTON SCREENLINEFrom 2011 to 2014, there was an increase in vehicle trips of 10.3% (~50,000 trips).

INTER-MUNICIPAL TRIPS Inter-municipal tra�c continues to increase. More than 600,000 inter-municipal trips were recorded.

0

10000

20000

30000

40000

50000

60000

Dixie Northof 401

Bovaird East ofHurontario

Hurontario South of 407

Burnhamthorpeat Credit River

Queen Westof Highway 50

Eglinton atCredit River

Dixie Southof 407

Highway 50South of Ebenezer

Airport Westof 427

Dundas atCredit River

Num

ber o

f Veh

icle

s

Location

BUSIEST MAJOR ROAD STATIONS 2006

2009

2011

2014

0

50000

100000

150000

200000

250000

300000

350000

400000

131 QEW atEtobicoke

Creek

401 East of410 Collectors

401 Westof Renforth

410 Northof 407

Northbound Ramp

403 East ofHurontario

410 Northof the 401

401 at EtobicokeCreek

401 East ofHurontario

403 atCredit River

12 QEW atCredit River

Num

ber o

f Veh

icle

s

Location

BUSIEST HIGHWAY STATIONS2006

2009

2011

2014

Source: 2014 Region of Peel Cordon Count Program.

BUSIEST COUNT STATIONSHighways and arterial roads continue to carry heavy tra�c volumes.

BICYCLE RIDERSHIPMost stations saw an increase in bike ridership in 2014. Lakeshore Road at the Credit River was the busiest station in 2014, with 310 bikes counted.

HIGHWAYSThe QEW at Etobicoke Creek was the busiest highway location in Peel Region, with over 208,000 vehicles recorded.

ARTERIALSBovaird Drive, east of Hurontario Street was the busiest arterial station counted in 2014, with over 52,000 vehicles counted.

0

50

100

150

200

250

300

350

400

450

500

LakeshoreRoad at

Credit River

HurontarioStreet South

of Highway 407

Goreway DriveNorth of

Steeles Ave.

WinstonChurchill Blvd.

North ofHighway 401

Bristol Roadat Credit River

Castlemore Roadat Peel/York

Boundary

Dundas Streetat Credit River

Britannia Roadat Credit River

Airport RoadWest

of Highway 427

Derry Roadat Credit River

Num

ber o

f Bic

ycle

s

Location

2006 2009 2011 2014

BICYCLE RIDERSHIP

Source: 2014 Region of Peel Cordon Count Program.

MODE OF TRAVEL (AUTO VS. PUBLIC TRANSIT)In 2014, approximately 74% of personal trips were made in single occupant automobiles. Approximately 1 in every 5 personal trips (18%) was made in multi-occupant vehicles while public transit accounted for 8.2% of personal trips.

GO RAILGO Rail data for Spring, 2014 was not available. GO Transitprovided the Region with Fall, 2013 data instead. The Lakeshore West continues to be the busiest GO Transit corridor with over 56% of total passengers.

4738 5498 6157 660091018988 10337 10876

12200

1710816302 16691 1715015000

33110

0

5000

10000

15000

20000

25000

30000

35000

2004 2006 2009 2011 2014

Com

mut

ers

Georgetown Milton Lakeshore

GO RAIL RIDERSHIP AT TORONTOBOUNDARY (AM PEAK)

227048

193387

170000

180000

190000

200000

210000

220000

230000

Inbound Outbound

TOTAL VEHICLES CROSSING PEELBETWEEN 6:00 AM - 9:00 AM

222450

227374

219000

220000

221000

222000

223000

224000

225000

226000

227000

228000

Inbound Outbound

TOTAL VEHICLES CROSSING PEEL BETWEEN 3:00 PM - 6:00 PM

SingleOccupant Auto

MultiOccupant Auto

Bus(GO, Regional) GO Rail

73.7% 18.1% 2.5% 5.7%

MODE OF TRAVEL - PEOPLE(AUTOS, TRANSIT, RAIL)

TOTALTRUCKTRIPS ONEXTERNALBOUNDARYSCREENLINES

0

50,000

100,000

150,000

200,000

250,000

2004

146,748

2006

123,600

2009

118,993

2011

123,552

2014

231,000

Num

ber o

f Tru

cks

AFTERNOON PEAK PERIOD ANALYSISAfternoon Peak Period (3:00 pm – 6:00 pm)

There were more vehicles leaving Peel (227,374) than entering Peel (222,450). 60% of outbound trips do so crossing easterly into the City of Toronto or York Region.

MORNING PEAK PERIOD ANALYSISMorning Peak Period (6:00 am – 9:00 am)

There were more vehicles coming into Peel (227,048) than leaving Peel (193,387). 47% of incoming trips are from the west.

TRUCK TRIPSTruck trips are increasing. In 2014, there were 231,000 truck trips, which represent an increase of over 100,000 total trips compared to 2011.

42.40% 41.71% 42.43% 47.81%34.85%

21.90% 20.51% 15.35%17.48%

18.49%

35.70% 37.78% 42.22% 34.71%46.66%

0%10%20%30%40%50%60%70%80%90%

100%

2004 2006 2009 2011 2014

GOODS MOVEMENTThere are three main types of trucks: heavy, medium, and light. Light trucks include cars and minivans that are used for commercial purposes. Of the above mentioned truck trips, a greater proportion were made by heavy trucks at 46.7% (the highest since 2004), followed by light trucks at 34.8% and medium trucks at 18.5 %.

PERCENTAGE SHARE OFLIGHT/MEDIUM/HEAVY TRUCKS

Light Medium Heavy