Bike Lanes, On-Street Parking
and Business
A Study of Bloor Street in Toronto’s Annex Neighbourhood
February 2009
ExecutiveDirector
EvaLigeti,CleanAirPartnership
ResearcherandAuthor:
FredSztabinski,ActiveTransportationResearcher,CleanAirPartnership
SurveyTeam:
DepartmentofHealthSciences,FacultyofMedicine,UniversityofToronto
ParkingData:
PlanningDepartment,TorontoParkingAuthority
AdvisoryCommittee:
MichaelCanzi,TransportationPolicyandPlanningAdvisor,Metrolinx
AlanFilipuzzi,
SeniorTransportationPlanner,CityofToronto
PaulHess,AssociateProfessor,DepartmentofGeography&PrograminPlanning,
UniversityofToronto
JenniferPenney,DirectorofResearch,CleanAirPartnership
SupporthasbeenprovidedbyagrantfromtheTorontoCommunityFoundation.CAP
wouldalsoliketothankTransportCanadaandthe
CityofTorontofortheirgenerous
supportofthiswork,andthefollowingpeoplefortheirhelpinreviewingthereport:
GordBrown,DanielEgan,JenniferHyland,JanaNeumann,LukaszPawlowski,Nancy
SmithLeaandStephanieTencer.
©CleanAirPartnership,2009
Formoreinformation,contact:
CleanAir
Partnership
75ElizabethStreet
Toronto,Ontario,M5G1P4,Canada
416‐392‐6672
Additionalcopiesofthispublicationmaybedownloadedatwww.cleanairpartnership.org
TheCleanAirPartnership(CAP)isaregisteredcharitythatworksinpartnershipto
promoteandcoordinateactionstoimprovelocalairqualityandreducegreenhousegases
forhealthycommunities.Ourappliedresearchonmunicipalpoliciesstrivestobroaden
andimproveaccesstopublicpolicydebateonairpollutionand
climatechangeissues.
Oursocialmarketingprogramsfocusonenergyconservationactivitiesthatmotivate
individuals,government,schools,utilities,businessesandcommunitiestotakeactionto
cleantheair.
i
TABLE OF CONTENTS
TABLEOFCONTENTS i
ListofTables ii
ListofMaps ii
ListofFigures ii
ExecutiveSummary 1
1.Introduction 2
1.1StudyPurpose 2
1.2StudyDescription 2
2.Context 4
2.1Background 4
2.2CyclingInfrastructureandtheBikePlan 5
2.3TheBloorAnnexNeighbourhood 6
3.Methodology 9
3.1ExistingPrecedent 9
3.2Surveys 9
3.2.1MerchantSurvey 9
3.2.2.PedestrianSurvey 11
3.3ParkingData 12
3.4DataAnalysis 13
3.5StudyLimitations 13
4.Findings 15
4.1Merchant’sPerceivedCustomerTravelHabits 15
4.2Merchant’sPerceivedEffectofPotentialStreetChanges 15
4.3PedestrianSurveyRespondents 16
4.4VisitorHabitsandConsumption 18
4.5On‐StreetParkingUsage 19
4.6Off‐StreetParking 22
5.Discussion 23
6.Conclusions&Recommendations 25
References 26
AppendixA–MerchantSurvey 27
AppendixB–PedestrianSurvey 28
ii
LIST OF TABLES
Table1.Distributionofsurveyrespondentsbysurveylocation 11
Table2.Distributionofsurveyrespondentsbysurveydayoftheweek 12
Table3.Merchantestimateofcustomersthatdriveandparkinthearea 15
Table4.NumberofdayspermonthvisitingtheBloorAnnex 17
Table5.Moneyspentintheareapermonth 17
Table6.Preferredchangetothestreet 18
Table7.BloorStreetandSpadinaRoadaverageon‐streetparkingusage 20
Table8.BloorStreetandSpadinaRoadaveragehourlyon‐streetparkingusage21
Table9.TorontoParkingAuthorityaverageparkinglotusage 22
LIST OF MAPS
Map1.TheBloorAnnexneighbourhoodwithinthelargerTorontocontext 3
Map2.SuggestedBloor‐DanforthBikeway 5
Map3.TheAnnexLandUse 8
Map4.TheAnnexbuiltformandtransportationnetwork 9
Map5.MunicipalpaidparkingoptionsintheAnnex 8
Map6.Pedestrianinterceptlocations 11
Map7.Studyareaboundary 16
Map8.Pedestriansurveyrespondents’placesofresidence–Scale:Greater
TorontoArea 17
Map9.Pedestriansurveyrespondents’placesofresidence–Scale:Toronto 17
LIST OF FIGURES
Figure1.Samplestreetconfiguration,includingbikelaneandstreetcar 4
Figure2.TypicalBloorAnnexcrosssectionfacingeast 7
Figure3.BloorStreetfacingeastatBathurstStreet 7
Figure4.Northsideparkingrestrictions 8
Figure5.Typicalsidestreetparkingrestrictions 8
Figure6.Northsidestreetparking 8
Figure7.Pay‐and‐displaymachine 8
Figure8.Lippincottparkinglot 8
Figure9.TypesofbusinessesonBloor 10
Figure10.Typesofbusinessesthatrespondedtothesurvey 10
Figure11.Responseratebytypeofbusiness 10
Figure12.Merchants’perceptionoftheimpactonbusinessofreducedparking 16
Figure13.Transportationmodeshare–liveorworkinthearea 18
Figure14.Transportationmodeshare–donotliveorworkinthearea 18
Figure15.Transportationmodeshare–Total 18
Figure16.BloorStreetaverageon‐streetparkingusage 19
Figure17.Palmerstonparkinglot 22
Figure18.TorontoParkingAuthorityaverageparking lotusage 21
Bike Lanes, On-Street Parking and Business 1
EXECUTIVE SUMMARY
Proposalstoinstallbikelanesonmajorstreetsareoftenmetwithoppositionfrommerchants
whofearthatthereallocationofroadspacefromon‐streetparkingtoon‐streetbikelaneswould
hurtbusiness.Thepurposeofthisstudyistounderstandandestimatetheimportanceofon‐
streetparking
tobusinessonBloorStreetintheAnnexneighbourhoodofToronto.
ToencouragemoreCanadianstousebicyclesforutilitariantripsmoreoften,itisessentialthat
theimplementationofbikelanesonmajorstreetsbeaccelerated.TheBloor‐Danforthcorridoris
aparticularlyattractiveoptionforacity‐wide
east‐westbikelaneinTorontobecauseitisoneof
theonlylong,straight,relativelyflatroutesthatconnectsthecityfromendtoend;thereareno
streetcartracks;andithasoneofthehighestincidencesofbicyclecollisionsinthecity.
Thisreportisaboutthedevelopment
andtestingofnewanalytictoolstodeterminethepublic
acceptabilityandeconomicimpactofreallocatingroadspace.Thestudy–conductedinJulyof
2008–surveyedtheopinionsandpreferencesof61merchantsand538patronsonBloorStreet
andanalyzedparkingusagedatainthearea.
Among
thestudy’sfindings:
• Only10%ofpatronsdrivetotheBloorAnnexneighbourhood;
• Evenduringpeakperiodsnomorethanabout80%ofpaidparkingspacesarepaidfor;
• Patronsarrivingbyfootandbicyclevisitthemostoftenandspendthemostmoneyper
month;
• There
aremoremerchantswhobelievethatabikelaneorwidenedsidewalkwould
increasebusinessthanmerchantswhothinkthosechangeswouldreducebusiness;
• Patronswouldpreferabikelanetowidenedsidewalksataratioofalmostfourtoone;
and
• Thereductioninon‐streetparking
supplyfromabikelaneorwidenedsidewalkcouldbe
accommodatedinthearea’soff‐streetmunicipalparkinglots.
Thespendinghabitsofcyclistsandpedestrians,theirrelativelyhightravelmodeshare,andthe
minimalimpactonparkingalldemonstratethatmerchantsinthisareaareunlikely tobe
negativelyaffected
byreallocatingon‐streetparkingspacetoabikelane.Onthecontrary,this
changewilllikelyincreasecommercialactivity.
Itisrecommendedthatthistypeofstudybereplicatedonothercommercialstreetswherethere
isconcernaboutreducingparkingtoaccommodatewidersidewalksorbicyclelanes.
Specifically,the
researchersalsorecommendthattheCityofTorontousethisstudytolook
morecloselyatthefutureofBloorStreetasacandidateforacross‐townbikeway.
Bike Lanes, On-Street Parking and Business 2
1. INTRODUCTION
Likeotherroadusers,bicyclistsonutilitariantrips–fromhometoworkorshopping,for
example–prefertotakethemostdirectroutebetweenPointAandPointB.Becausesomany
destinationsareconcentratedonmajorstreets,thisoftenentailsridingonroadswherethe
volumeand/or
speedofmotorvehicletrafficishigh.However,a1999surveyofToronto
cyclistsfoundthatonly18%ofcyclistsreportedfeelingcomfortablebikingonmajorroads
withoutbikelanes,whereas53%reportedfeelingcomfortablecyclingonmajorroadswithbike
lanes(DecimaResearch,2000).
ToencouragemoreCanadianstouse
bicyclesforutilitariantripsmoreoften,itisessentialthat
theimplementationofbikelanesonmajorstreetsbeaccelerated.However,proposalsofthis
sortoftenmeetwithoppositionfrombusinessownersonmajorstreetswhofearthatthe
reallocationofroadspacefromon‐streetparkingtoon‐street
bikelaneswouldhurtbusiness.
MorethanhalfwaythroughthetimelineestablishedfortheimplementationoftheTorontoBike
Plan,lessthan20%oftheplanned‐foron‐streetbikelaneshavebeenbuilt,inpartbecauseof
oppositionfrombusinessesonstreetswheretheyareproposed.
1.1 STUDY PURPOSE
Thepurposeofthisstudyistounderstandandestimatetheimportanceofon‐streetparkingto
business.Regardlessofthespecificfindingsofthestudy,theprojectisintendedtoincreasethe
abilityofCanadianmunicipalitiestobetterdeterminethepublicacceptabilityandeconomic
impactofnewbikelaneson
majorstreets,astheanalyticaltoolscreatedwillbemadeavailable
toallmunicipalitiessothattheycanreplicatethestudyintheirownjurisdictions.Thistoolwill
helpmunicipalitiesdeterminewhethervocalopponentsofbikelanesreflecttheopinionsofthe
majorityandwhetherwarningsaboutlossofbusiness
fromreducedparkingareaccurate.
1.2 STUDY DESCRIPTION
Thestudyincorporatedaseriesofsurveysto:a)determinetherelativeimportanceofon‐street
parkingtobusinessactivityonBloorStreetWestintheAnnex,a medium‐to‐high‐density,
traditionalcommercialstreetindowntownToronto;andb)projecttheimpactsonbusiness
activityofreallocatingspaceinthe
Annexfromon‐streetparkingtobikelanes orwidened
sidewalks.Forthepurposesofthisstudy,theBloorAnnexneighbourhoodwasdefinedasthe
areasurroundingBloorStreet,boundedbyPalmerstonBoulevardtotheWest,HuronStreetto
theEast,DupontStreettotheNorthandHarbordStreetto
theSouth(seeMap1.TheBloor
AnnexneighbourhoodwithinthelargerTorontocontext).
Bike Lanes, On-Street Parking and Business 3
Map 1. The Bloor Annex neighbourhood (highlighted in orange) within the larger Toronto context
(Source data: Google Earth,)
Datawerecollectedusingthefollowingsources:
1. Asurveyofareamerchantstogaugeassumptionsaboutthemodesoftransportation
patronsusetoaccesstheneighbourhoodandinwhatproportions.
2. Apedestrianinterceptsurveytodeterminehowpatronsaccesstheneighbourhood,how
often,andhowmuchmoneytheyspend
there.Thissurveyalsoincludedaquestion
aboutthetypeofroadspaceallocation(tocars,bikes,orpedestrians)theywouldprefer.
3. On‐streetparkingdatatodeterminewhatpercentageoftheon‐streetparkingspacesare
occupiedatdifferenttimesofday.
4. Off‐streetparkingdatato
determinewhetherthereisunderutilizedcapacity.
Bike Lanes, On-Street Parking and Business 4
2. CONTEXT
2.1 BACKGROUND
Cityplannersandengineersfacecompetingprioritiesforspace,especiallywhenitcomesto
roadspaceoncommercialstreets.Frombuildinglinetobuildingline,decisionsneedtobe
madewhethertoallocatespacetocommercialactivity,sidewalks,streetfurniture,trees and
otherplantings,bicycleparking,carparking,parkingmeters,bicycle
lanes,publictransitand
motorvehicletravellanes(seeFigure1.Samplestreetconfiguration,includingbikelaneand
streetcar).Inmanycases,itisnotpossibletoaccommodateallofthesepriorities,anditisthejob
ofplannerstoweightheneedsofthevariousroadandotherpublic
spaceuserstomake
recommendationsforthegreatestpublicgood.However,electedofficialsoftenmakethefinal
decisionandtheiropinionsmaydifferfromthoseoftheplanners.
Figure 1. Sample street configuration, including bike lane and streetcar
Bike Lanes, On-Street Parking and Business 5
2.2 CYCLING INFRASTRUCTURE AND THE BIKE PLAN
TheTorontoBikePlan’sBikewayNetworkcallsforalmost500kmofbikelanestobeinstalled
by2011.CityCouncilhasnowmovedthistargetcompletiondateto2012,butevenmeetingthat
goalwillrequireamonumentalshiftinCityprioritiesinordertoapproveandinstallthe
needed
bicycleinfrastructuretocreatearealnetworkthroughoutToronto.Sincetheapprovalof
theBikePlanin2001,Cityplannersandengineershavefacedhurdleafterhurdlesecuring
politicalapprovaltoinstallbikelanesacrossthecity.Citychampionshavetriedtoaccelerate
theBikePlan’simplementationbyincreasingcapital
budgetsandstreamliningtheapproval
process.Buteveninthe2008constructionseason,Citystaffwereunabletoconsistentlycount
onallthenecessaryapprovalsatCityCouncil.
Almosteverynewbikelaneintheoldercity–wherestreetsarenarrowerthaninsuburban
areas–hasinvolvedtheremoval
ofatleastsomeon‐streetparking.Theremovalofon‐street
parkingcapacityisabigconcernforsomebusinessownerswhobelievethatthemajorityof
theircustomersarrivebycar.Theyare concernedthatifthereisn’tsufficientparkingveryclose
athand,itwilldetersome
customersfromvisitingthebusiness.Inmostinstances,thereisvery
littleevidencetosupportornegatethisconcern.
Forquitesometimecyclingadvocates–andsomeCitystaff–havebeenlookingathowto
makeamajoreast‐westbikewayinToronto.Someproposethatthemostattractive
optionisthe
Bloor‐Danforthcorridor,stretchingalmost20kilometresacrossthecity.TheCitydidnot
includethisrouteinits2001BikewayNetworkplan,though earliercityreportsdidrecommend
aBloorbikelane.
Map 2. Suggested Bloor-Danforth Bikeway (Source data: Google Earth)
Bike Lanes, On-Street Parking and Business 6
Theindependentcommunitycyclinggroup,BellsonBloor,hascompilednumeroussupporting
reasonsforchoosingBloorastheCity’smajoreast‐westbikeartery(BellsonBloor,2007).These
include:
• Blooralreadyhasoneofthehighestratesofcyclingintheentirecity.Goodbikerouteplanning
placesbikelaneswherethecyclistsalreadyare;
• Bloorhasoneofthehighestincidencesofbicyclecollisionsinthecity;
• Bloorisoneoffewlong,straight,relativelyflatroutesthatconnectsthecityfromendtoend;
• Therearenostreetcartracks,whichcansometimesinterferewiththesafeoperationofabicycle;
• Thecorridorisalsoservedbyasubwayline,whichprovidesafast,frequent,viablealternativeto
driving;
• Researchdemonstratesthatbikeroutesaremostsuccessfulwhentheyarecontinuousanddirect,
andwhentheyminimizedelaysorstopsforcyclists;
• Unconnectedsegmentsofbikelanesthatforcecycliststotakecircuitousroutesonvariousside
streetswillnotencouragepeopletogetoutoftheircarsandontobikes;
• Along,continuousanddirectbikelaneonBloorwillencouragemorepeopletogetoutontheir
bikes,andwillprotectthosewhoarealreadyoutthere;and
• LongstretchesofBlooraremadeupofsmallbusiness,andresearchhasshownthatbikelanescan
begoodforbusiness.Cyclistscanstoponawhimmoreeasilythanmotorists,parkatthenearest
post‐and‐ring,andsupportlocalbusinesses.
(Note:Thepointsabovehavebeenparaphrasedfrom
theoriginaltextforbrevity,clarityand
accuracy.Toviewtheoriginaltext,pleasevisitwww.bellsonbloor.ca)
2.3 THE BLOOR ANNEX NEIGHBOURHOOD
TheBloorAnnexneighbourhoodisadiverseneighbourhood,withalargestudentandyoung
professionalpopulation.Theareaalsohasastrongcommercialandentertainmentcharacter,
withBloorStreetasthefocus.Thecity’smaineast‐westsubwaylinerunsalong BloorStreet,
withaninterchangetothenorth‐southUniversity
‐Spadinasubwaylineattheintersectionof
BloorStreetandSpadinaAvenue.Intermsofthestreetlayoutwithinthestudyarea,thestreet
issymmetrical,withsidewalksfrontingthebuildingsoneachside,aparking/travellane,and
thenanothertravellane.ThislayoutisrepresentativeofthelargerSpadina
Avenueto
LansdowneAvenuesectionofBloorStreet.
Bike Lanes, On-Street Parking and Business 7
Figure 2. Typical Bloor Annex cross section (approximate dimensions)
Themajorityofthismedium‐to‐highdensityneighbourhoodiszonedforresidentialand
commerciallanduses,withsomescatteredparklandandtheUniversityofTorontonearby.The
majorityofbusinessesonBloorStreetbetween SpadinaAvenueandBathurstStreet(thestudy
area–seeMap3.TheAnnexLandUse)
arerestaurantsorbars;therestareeitherstoresor
serviceproviders.
Figure 3. Bloor Street facing east at Bathurst Street
Bike Lanes, On-Street Parking and Business 8
Map 3. The Annex Land Use (Source data: City of Toronto)
TogettotheAnnexneighbourhoodresidentsandvisitorshavemanyoptions.Twosubway
lines,twostreetcarlinesandavarietyofbusroutesfeedintotwosubwaystations(Spadinaand
Bathurst)ateitherendofthestudyarea.Bloorisoneofthebusiestcyclingstreetsinthecityand
hasmorebicycle‐motorvehiclecollisionsthanotherstreets.However,therearecurrentlyno
dedicatedcyclingfacilitiesthatleaddirectlyintothisarea.St.GeorgeStreet–oneofthecity’s
mostpopularnorth‐southbikelanes–isapproximately300metrestotheeastofthestudyarea.
Bloor
Streetisalsoapopularwalkingroutebetweenneighbourhoodstothewestofthestudy
area,theUniversityofTorontojusteastofthestudyarea,andToronto’sdowntowncore.
Bike Lanes, On-Street Parking and Business 9
Map 4. The Annex built form and transportation network (Source data: City of Toronto)
ForthosewhodrivetotheAnnex,thereison‐streetpaidparkingonBloorStreetandSpadina
Roadatcertaintimesoftheday,dependingonrush‐hourrestrictionsononeorbothsidesofthe
street.Paymentisbymeansof‘pay‐and‐display’machinesscatteredthroughoutthearea,
usuallywithathree‐hourmaximum,andparkingisfreebefore9:00a.m.andafter9:00p.m.
Thereisalsofreeone‐hourparkingbetween10:00a.m.and10:00p.m.onmostsidestreets,with
permitparkingforresidentstwenty‐fourhoursperday.
Bike Lanes, On-Street Parking and Business 8
Figure 4. North side parking restrictions
Figure 5. Typical side street parking restrictions
Therearethreemunicipalpaidparkinglots(alsoknownas‘GreenP’lots)managedbythe
TorontoParkingAuthority–allwithinatwo‐orthree‐minutewalkofthestudyarea.Within
thestudyarea,thereare168paidon‐streetparkingspacesand267paidspacesintheoff
‐street
municipalparkinglots.
Map 5. Municipal paid parking options in the Annex (Source data: City of Toronto)
Figure 6. North side street parking
Figure 7. Pay-and-display machine
Figure 8. Lippincott parking lot
Bike Lanes, On-Street Parking and Business 9
3. METHODOLOGY
3.1 EXISTING PRECEDENT
Themethodologyforthisstudywasbasedon2006researchthatquantifiedtherelative
importanceofthevariousmodesoftransportationtobusinessactivityonPrinceStreet,inNew
YorkCity,aswellasprojectingtheimpactsonbusinessactivityofaroadreallocationfromon‐
streetparkingtowidersidewalks
(TransportationAlternatives&SchallerConsulting,2006).
ThestudyfoundthatpatronsofPrinceStreet’sstoresandrestaurantswouldcomemoreoften,
drawnbythereducedcrowdingonsidewalks,andthatthisincreasedpatronagewouldoffset
byafive‐to‐oneratioanylostretailsalesfromthosenotcomingdue
tothereducednumberof
parkingspaces.
WhenTorontoconsidersimplementationofabikelaneorwidersidewalks,Citystaffoften
prepareaparkingstudythatusesobservationaldatatoshowwhetherornotalltheexistingon‐
streetparkingisneeded.However,thistypeofstudyoftenfailstosatisfy
theconcernsof
businessownersorCityCouncillors–sometimesbecauseofanissuewithdatacollection(e.g.,
datawasnotcollectedonapeakbusinessdayorhour).LiketheNewYorkStudy,thisstudy
endeavourstobemorerigorousbyunderstandingbehaviourandperceptionsofboth
customersand
merchants,inadditiontoassessingparkingcapacity.
3.2 SURVEYS
Thestudywasconductedinatwo‐weekperiodfromJuly8
to19,2008,andemployedtwo
surveys:asurveyofgroundfloormerchantsalongBloorStreetbetweenSpadinaAvenueand
BathurstStreet;andasurveyofpedestrianswalkingonBloorStreetbetweenSpadinaAvenue
andBathurstStreet.SurveyorsfromtheUniversityofToronto’sDepartmentofHealthSciences
werehiredtocarry
outthesurveys.Thecompletemerchantandpedestriansurveysare
includedinappendicesAandB.
3.2.1 Merchant Survey
Incaseswherereallocatingtheparkinglanetoothertravelmodeswithintheright‐of‐wayfaces
oppositionfrommerchants,itisnotclearhowmanyofthetotalbusinessesthedissenting
merchantsactuallyrepresent.Dotheyspeakforthemajorityoraretheyrepresentingindividual
opinionsandinterests?Themerchant
surveysoughttoanswerthisquestionbyaskingthe
opinionsofasmanymerchantsaspossible.
Themerchantswereaskedhowmanycustomerstheyserve;howmanyoftheircustomersthey
thinkdrivetovisittheirbusiness;andtheiropinionsonthebusinessimpactsoflosingonelane
Bike Lanes, On-Street Parking and Business 10
ofon‐streetparkinginordertoinstallabikelaneorwidenthesidewalk.Merchantswereasked
aboutbothawidenedsidewalkandabikelanetogetattherootquestion:theperceived
importanceofon‐streetparking.Forexample,todetermineifthebusinessownerwasagainst
bike
lanesforareasonunrelatedtothelossofon‐streetparking,theresearchersaskedtheir
opinionaboutlosingparkingforanothernon‐vehicularuse–inthiscasewideningthe
sidewalk.Formoredetailonthequestionscontainedinthesurvey,pleaseseeAppendixA.
Weapproachedall110
groundfloormerchantsandFifty‐fivepercent,or61outof110,
respondedtothesurvey.Thesurveyorsweredirectedtohavethesurveycompletedbythe
ownerormanagerofthebusiness.Thesurveyorsmadeuptothreevisitstoadministerthe
surveyiftheownerormanagerwasnot
initiallyavailable.Thetypesofbusinessesthat
respondedtothesurveyhaveaslightlydifferentdistributionthanthedistributionofall
businessesonthestreet.Thedifferenceinthesedistributionsdemonstratesthatownersor
managersofretailstoresweremorelikelytorespondtothesurveythanthoseatservices,
bars
andrestaurants.Almostthree‐quartersofstore‐ownersandmanagersrespondedtothesurvey,
comparedtoslightlylessthanhalfoftheownersormanagersatservices,barsandrestaurants.
Service
Store
Restaurant/
Bar
35%
15%
50%
Figure 9. Types of businesses on Bloor
Service
Store
Restaurant/
Bar
48%11%
41%
Figure 10. Types of businesses that responded to
the survey
Restaurant/
Bar
Store Service
0
10
20
30
40
50
60
70
80
90
100
123
74%
44%
45%
Figure 11. Response rate by type of business
Bike Lanes, On-Street Parking and Business 11
3.2.2. Pedestrian Survey
ThepedestriansurveytargetedpeoplewalkingonBloorStreetbetweenSpadinaandBathurst.
Thesurveyparticipantsmayhavearrivedbycar,transit,bikeoronfoot,butwerewalking
wheninterceptedtocompletethesurvey.Pedestrianswereapproachedatoneofeightlocations
throughoutthestudyareaonbothsidesof
thestreetinordertoavoidanybiasassociatedwith
aparticulardestinationonBloor(SeeMap6.PedestrianinterceptlocationsandTable1.
Distributionofsurveyrespondentsbysurveylocation).Theresponsesfromeachsurvey
locationwerefairlyevenlydistributedwithnomorethan19%andnolessthan
5%ofresponses
comingfromanyonesurveylocation.
Map 6. Pedestrian intercept locations (Source data: Google Maps)
Table 1. Distribution of survey respondents by survey location
Survey Location on Bloor Street
Surveys
Completed
Percentage share of
total surveys completed
1
South-East corner at Lippincott 38 7%
2
Mid-block between Borden and Brunswick (south side) 79 15%
3
South-West corner at Major 103 19%
4
Mid-block between Robert and Sussex (south side) 50 9%
5
Mid-block between Bathurst and Albany (north side) 28 5%
6
North-West corner at Howland 74 14%
7
Mid-block between Brunswick and Dalton 72 13%
8
North-East corner at Walmer 94 18%
Total
538 100%
Bike Lanes, On-Street Parking and Business 12
Surveyparticipantswereaskediftheyliveorworkinthearea;howoftentheyvisitthearea;
howmuchtheyspendinthearea;thepurposeoftheirvisit;whatformoftransportationthey
usetogettothearea;andtheirpreferenceforabikelaneorawider
sidewalk.Again,
pedestrianswerealsoaskedaboutwideningthesidewalk,asanalternativetoinstallingabike
lane,simplytounderstandwhetherornottheywereopposedtolosingon‐streetparking,
regardlessofthealternativeuseofthespace.Surveyrespondentswerealsoaskedwherethey
liveinorder
togaugehowmanyoftheBloorAnnexpatronsliveclosetoarea.Formoredetail
onthequestionscontainedinthesurvey,pleaseseeAppendixB.
ThesurveywasconductedonaTuesday,Wednesday,ThursdayorSaturday,with afairly
equaldistributionbetweenthosedays(seeTable2.Distributionof
surveyrespondentsby
surveydayoftheweek).ThestudyfocusisonpeoplewhovisittheBloorAnnexarea,andnot
thosepassingthrough,sothesurveyorsavoidedthepeakmorningandafternooncommute
hoursinanattempttoexcludemostofthepedestrianspassingthroughtheareato
workor
school).
Table 2. Distribution of survey respondents by survey day of the week
Tuesday Wednesday Thursday Saturday
July 8 10% July 9 9% July 10 18%
July 15 15% July 16 18% July 17 11%
July 19 19%
Total
25%
Total
27%
Total
29%
Total
19%
3.3 PARKING DATA
Inordertounderstandtheeffectsofremovingonelaneofon‐streetparking,theresearchers
neededtoknowthecurrentsupplyofpublicon‐streetandoff‐streetparkinginthearea,andthe
currentratesofusage.Ifonelaneofparkingisremoved,merchantsandCitydecision‐makers
willwanttoknowiftheexistingparkingdemandcanbeaccommodatedwiththeremaining
supply.(Itisimportanttonotethateveniftheremainingsupplycannotaccommodateexisting
demand,municipalitieshavetheoptionofconstructingnewmunicipalparkinglotsor
convertingsidestreetparkingtopayparking.For
example,aspartofthenewlyconstructedSt.
Clairstreetcarexclusiveright‐of‐way,TPAisbuildingnew‘GreenP’lotstomakeupforsome
oftheloston‐streetparking.)
Ratherthanusingobservationaldata,parkingcapacityandusagedatawasrequestedfromthe
TorontoParkingAuthority(TPA).Because
theTPAnowexclusivelyemployspay‐and‐display
parkingmachinesforon‐streetparkingandinmostmunicipalparkinglots(‘GreenP’lots),the
TPAhasarobust,sophisticated,andreliablesystemfortrackingparkingusage.
Bike Lanes, On-Street Parking and Business 13
TPAsuppliedJuly2008usagedataforon‐streetparkingalongBloorStreetandSpadinaRoad,
allwithinatwoorthreeminutewalkofthestudyarea.TPAalsosupplieddataforthree‘Green
P’lots,alsowithinatwoorthreeminutewalkofthestudyarea:at577
Palmerston,365
Lippincottand19Spadina.ThedatatrackspaymentsmadeusingTPA’spay‐and‐display
machinesforbothon‐streetparkingandoff‐streetTPAlots.
Foron‐streetparking,dataisreportedasthenumberofvalidticketsduring15‐minuteintervals
throughoutthedaysthatcorrespondwith
thepedestriansurveydays(July8,9,10,15,16,17
and19).However,dataforSaturday,July19
th
wasnotavailable,soSaturday,July12
th
was
substitutedinstead.Theresearcherstookhourlysnapshotsbetween10:00a.m.and9:00p.m.–
thehourswhenthemachinesaregenerallyinuse–anddeterminedtheaveragenumberof
validticketsthroughouttheday,aswellasmorning‐midday,afternoon,andeveningaverages.
Fortheoff‐streetlots,
parkingdataisreportedasdailyandeveningpeaks–thehighest
recordednumberofvalidticketsatanygiventimeinthedayoreveningperiod.Again,theTPA
supplieddataforthesamedaysastheon‐streetparkingdata,whichcorrespondtothe
pedestriansurveydays.
Theaverage
validticketcountswerecomparedtotheoverallcapacity–eitheron‐streetorin
lots–todeterminetheaverageusageofon‐streetandoff‐streetpaidparking.
3.4 DATA ANALYSIS
Underdirectionoftheleadresearcher,thesurveyteamenteredandcompiledthesurveydata
andcomputedpreliminarytalliesandtrends.Additionalsurveyandparkingdataanalysisand
correlationswerecomputedbytheleadresearcherunderdirectionoftheadvisorycommittee.
ThesurveyteamusedSPSSstatisticssoftware,whilethelead
researcherusedMSExcel.Further
descriptionofthedataanalysismethodologyisfoundinthe‘Findings’sectionofthisreport.
3.5 STUDY LIMITATIONS
Themostobviouslimitationofthisstudyisthefactthatitwasconductedinonlyonemonthof
theyear.Thiswasduetobothfundingandorganizationalresourceconstraints.Theresearchers
acknowledgethattherearevariationsintravelbehaviourassociatedwithweatherand
temperature,andthisstudydoesnot
capturethesevariations.Thestudyalsofailstocapture
possiblevariationsinparkingdemandduringbusiercommercialperiods.
ThereisalsoapotentialbiasduetothefactthattheBloorAnnexneighbourhoodhasahigh
studentpopulationbecauseoftheproximity totheUniversityofTorontoanditsgeneral
popularityasastudentarea–yetthestudywasconductedduringthesummerholiday(Juneto
Bike Lanes, On-Street Parking and Business 14
August)whenmanystudentsleaveToronto.Universitystudents–especiallythoselivingina
densecentralneighbourhoodwithexcellentpublictransitaccess–areunlikely toowncars,let
alonedriveorneedtoparkthem.Sowhilethestudydoesnotcapturethegeneraldropin
bicycletransportationduringthe
winter,andthustheassociateddeclineineconomic
contributionsbycyclists,italsodoesnotcapturethehigherstudentpopulation,andtheir
economiccontributionsduringtheschoolyear(SeptembertoMay).
Ingeneral,itisnotedthatthesurveydidnotincorporateastatisticallyrandomsample,inthat
theresearchers
werenotabletocontrolforthisbycollectingthesurveyrespondents’socio‐
demographicinformation.
Regardingthemerchantsurveydata,onlygroundfloormerchantswereapproached.This
representsthemajorityofmerchants,asmostsecondandthirdfloorunitsalongBloorStreetare
residential.Nonetheless,therearesomebusinessesthatwere
notincluded,anditispossible
thatthegroundfloorsampledoesnotaccuratelyrepresenttheothers.
Withregardtothepedestriansurvey,thequestionthatasksaboutpreferenceforabikelaneor
awidersidewalkshouldhavebeenmoredescriptive.While abikelaneinherentlysuggests
improvedconditions
forcycling,awidersidewalkdoesnotpromiseanythingotherthana
widersidewalk.Theintentoftheresearcherswastosuggestthatawidersidewalkwouldalso
providemorespaceforbenches,trees,andotheramenitiesthatwouldlikelyimprovethe
pedestrianenvironment.However,unfortunatelythisintentwasnotaccurately
conveyedinthe
surveyquestion.
Finally,regardingtheparkingdata,theTPAemploysapay‐and‐displaysystemthatcanonly
trackpaymentandnotactualusage.Soitislikelythatsomeuserspayformoretimethanthey
actuallyparktheircar,andalsothatsomeusersdo
notpayforsomeorallofthetimetheyuse.
Also,thecapacityofon‐streetparkingdependsonthesizeofcarsparked,asthereareno
designatedspaceswithinablock.So,forexample,therecouldbe10largesportutilityvehicles
or20minicompactcars
–oranycombinationthereof–parkedinthesameamountofspace.
However,theTPAhasbeenusingthisdataasitsprimarysourceforcapacityanalysissothe
researchersfeelthisisareasonabledatasettouse.Infuturestudies,itcouldbeusefulto
combinetheTPA’s
pay‐and‐displaydatawithobservationalrecordingssotoincludeany
noteworthylocalconditions,suchaspick‐up/drop‐offvehiclesthatstopforshortperiodsof
timeandcommercialdeliveriesthatdonotpayforparking
Bike Lanes, On-Street Parking and Business 15
4. FINDINGS
4.1 MERCHANT’S PERCEIVED CUSTOMER TRAVEL HABITS
BloorAnnexisaverybusycommercialcorridor,with55%ofbusinessesservingmorethan100
customerseachweekday,and75%servingmorethan100customerseachweekendday.
Merchantswereaskedtoestimatewhatpercentageoftheircustomersdroveandparkedto
accesstheirbusiness.Fiveofthe61survey
respondentsdidnotanswerthisquestion.The
surveydatashowsthatmostbusinessownersdonotbelievethatthemajorityoftheir
customersdrivetotheirbusiness.Infact,only4%ofbusinessesbelievethatmorethan50%of
theircustomersdrivetotheirbusiness,andalmostthree‐quartersof
businessesbelievethatless
than25%ofcustomersdrivetotheirbusiness.Therefore,accordingtomostmerchants(71%),
anychangetotheparkingsituationintheBloorAnnexwouldaffectatmost25%oftheir
customerbase.
Table 3. Merchant estimate of customers that drive and park in the area
Percentage of customers that drive Frequency Percentage share of responses
0-10%
17 30%
11-25%
23
41%
26-50%
14 25%
51-75%
2 4%
4.2 MERCHANT’S PERCEIVED EFFECT OF POTENTIAL STREET CHANGES
MerchantswerealsoaskedhowtheythoughttheirbusinesswouldbeaffectediftheCitymade
changestothestreetsuchasinstallingabikelaneorwideningthesidewalk.Merchantswere
informedthatthesechangeswouldrequiretheremovalofhalftheon‐streetparkingonBloor
Street,sincethat
iswherethespacewouldcomefrom toaccommodateabikelaneorwider
sidewalks.Inordertoestimatetheeffect,merchantswereaskediftheythoughttherespective
changewouldbringfewercustomersormorecustomerstotheirbusiness,oriftheyexpectedno
effectivechangetotheircustomer
base.Onthequestionofinstallingabikelaneandremoving
halftheon‐streetparking,almost75%ofbusinessesthoughttheirbusinesswouldimproveor
staythesame,whileslightlymorethan25%thoughtthechangewouldbringinfewer
customers.Onthequestionofwideningthesidewalkandremoving
parking,theresultswere
almostthesame,withonly25%ofmerchantsbelievingthechangewouldhurtbusiness.The
datashowsthatmoremerchantsthinkthatbikelanesandwidersidewalkswouldincrease
businessthandecreaseit.
Bike Lanes, On-Street Parking and Business 16
26%
25%
30%
35%
44%
40%
0%
25%
50%
75%
100%
Bike lane and 50% of on-
street parking removed
Wider sidewalk and 50%
on-street parking removed
No Change
More Customers
Fewer Customers
Figure 12. Merchants’ perception of the impact on business of reduced parking
4.3 PEDESTRIAN SURVEY RESPONDENTS
Atotalof538visitorstotheBloorAnnexcompletedthesurvey.Oftherespondents,55%said
thattheyliveorworkinthearea.Ifpromptedbytherespondent,theBloorAnnexareawas
definedastheareaaroundBloorStreet,boundedbyPalmerstonBoulevard totheWest,Huron
Street
totheEast,DupontStreettotheNorthandHarbordStreettotheSouth(seeMap7.Study
areaboundary).
Map 7. Study area boundary (Source data: Google Maps)
Bike Lanes, On-Street Parking and Business 17
Respondentswerealsoaskedspecificallywheretheylive(eithernearestintersectionand/or
postalcode).Mappingthenearestintersectiondata,iteasytoseethatthegreatestconcentration
ofrespondentsarethosethatlivequiteclosetothestudyarea(withinonekilometre),thougha
portionofthetotalsurveysamplecomes
fromotherareasaroundthecityandtheregion.
Map 8. Pedestrian survey respondents’ places of residence – Scale: Greater Toronto Area
(Source data: Google Earth)
Map 9. Pedestrian survey respondents’ places of residence – Scale: Toronto (Source data: Google Earth)
Bike Lanes, On-Street Parking and Business 18
4.4 VISITOR HABITS AND CONSUMPTION
Inordertounderstandtheimportanceofthevariousmodesoftransportation,survey
respondentswereaskedhowtheyusuallygettotheBloorAnnexarea.Overall,mostvisitors
gettoBloorAnnexonfoot,followedbypublictransit,bicycleandfinallycar.Amongstthose
wholiveorworkinthearea,
two‐thirdswalk,14%cycle,another14%takepublictransit,and
only5%drive.Forthosewhodonotliveorworkinthearea,54%takepublictransit,20%walk,
16%drive,and10%cycle.
Walk
Bicycle
Public Transit
Car
67%
14%
14%
5%
Figure 13. Transportation
mode share – live or work
in the area
Walk
Bicycle
Public Transit
Car
10%
54%
16%
20%
Figure 14. Transportation
mode share – do not live
or work in the area
Walk
Bicycle
P
ublic Transit
Car
46%
12%
32%
10%
Figure 15. Transportation
mode share – Total
SurveyrespondentswerealsoaskedhowmanydayspermonththeytypicallyvisitBloor
Annex.ThemajorityofrespondentsvisitBloorAnnexfrequently,with58%reportingthatthey
visitmorethantentimespermonth.Only20%visittwoorlesstimespermonth.Not
surprisingly,thevisitfrequencydatawas
stronglycorrelatedwiththehomeorworklocationof
therespondents.ThosewholiveorworkintheareavisitBloorStreetmuchmorefrequently
thanthosewhodonot.Forexample,92%ofthosewholiveorworkintheareavisitmorethan
fivetimespermonth;whereas
only34%ofthosewhodonotliveorworkintheareavisitmore
thanfivetimespermonth.Ontheotherendofthespectrum,66%ofthosewhodonotliveor
workintheareavisitfiveorfewertimespermonth;comparedtoonly8%of
thosewhodolive
orworkinthearea.
Overall,walkersvisittheareamostoften,with84%visitingmorethan5timespermonth;
followedbybicyclists,72%ofwhomvisitmorethan5timespermonth;publictransitusers,
44%ofwhomvisitmorethan5timesper
month;anddrivers,42%ofwhomvisitmorethan5
timespermonth.Bycontrast,58%ofdriversand56%ofpublictransitusersvisitfiveorfewer
timespermonth;comparedtoonly16%ofwalkersand28%ofbicyclists.
Bike Lanes, On-Street Parking and Business 17
Table 4. Number of days per month visiting the Bloor Annex
Number of
days
Live or work in the
area (294)
Live and work outside
the area (244)
Walk
(246)
Bicycle
(64)
Public
Transit (171)
Car
(55)
Total
(538)
0-1
2%
30%
7% 5%
24% 29%
15%
2
1% 10% 2% 5% 9% 9% 5%
3
1% 7% 2% 5% 5% 7% 3%
4
2% 13% 3% 8% 12% 9% 7%
5
2% 6% 2% 5% 6% 4% 4%
6-10
6% 9% 5% 9% 10% 7% 8%
11-20
16% 16% 14% 15% 18% 20% 16%
21-30 70%
9%
65% 48%
16% 15%
42%
SurveyrespondentswerealsoaskedhowmuchmoneytheyspendintheBloorAnnexina
typicalmonth,withfivespendingrangesprovidedasoptions.Overall,thegreatestpercentage
ofrespondentsreportspendingbetween$100and$499(41%).Amongthosewholiveorwork
inthearea,50%reportspendingbetween
$100and$499,comparedto35%ofthosewhodonot
liveorworkinthearea.Instead,thegreatestpercentageofthosewhodonotliveorworkinthe
areaspendbetween$25and$99(35%).
Lookingatspendingcategorizedbytherespondent’smodeoftravel,walkersseem
tospendthe
most(definedasthegreatestpercentagespendingmorethan$100permonth),followedby
bicyclists,thencardrivers,andfinallypublictransitusers.The spendinghabitsofcardrivers
andpublictransitusersaresimilar,whilewalkersseemtospendmorethanbicyclistsand
considerablymorethancar
driversandpublictransitusers.
Theresearchersalsowantedtoknowhowapotentialchangetothestreetwouldaffect
businessesonBloorStreet.From thevisitorpointofview,theresearchersaskedwhatpossible
changetheypreferred,withnochangeasanoption.Thequestionalsoincludedthefact
thatthe
Table 5. Money spent in the area per month
Live or work in the
area (294)
Live and work outside
the area (242)
Walk
(246)
Bicycle
(64)
Public
Transit (171)
Car
(55)
Total
(536)
< $25
6% 31% 8% 11% 29% 24% 17%
$25-$99
21%
35%
16% 39%
37% 37%
27%
$100-$499 50%
29%
52% 42%
28% 30%
41%
$500-$999
14% 5% 17% 3% 3% 4% 10%
> $1,000
9% 0% 7% 5% 3% 5% 5%