transit price appreciation patterns - allison, maryam ... · karlee sommerfeld 13720073 nathan...
TRANSCRIPT
Price Appreciation Patterns around Transit Stations Real Estate Economics
A p r i l 1 6 , 2 0 1 2
Maryam Bagheri 10974079
Christina Chan 14424071
Allison Lasocha 47953088
Karlee Sommerfeld 13720073
Nathan Schiff
1
ABSTRACT
The main purpose of this study is to measure the effects of a rapid transit station on housing
appreciation in the surrounding area after different projectmilestones of a rapid transit line.Wehave
measuredtheeffectsonhousingappreciationbeforetheline’sannouncement,confirmationoftheproject,
during construction, and after completion of the Canada Line to findwhen, if ever, price appreciation
becomesapparentforhomesneartransit.
TheCanadaLine isoneofmanyrapidtransit lines inMetroVancouver. Itwasannouncedshortly
afterVancouver’ssuccessfulbidforthe2010WinterOlympicGamestoconnectRichmondCityCentreand
Vancouver International Airport to Downtown Vancouver. However, the controversial project was not
given approval until December 2004. Construction beganmid‐2005 and opened inmid‐2009 to better
thanexpectedridershiplevels.
Inorder toexplore thesequestionsweusedamultiplesalesanalysiswith threedistancerings to
separatehousesthatarenearandnotneartothetransitstations.WechosetofocusonfiveCanadaLine
stations located along the Cambie Corridor: Broadway/City Hall, King Edward, Oakridge/41st Ave,
Langara/49thAve,andMarineDrivestation.Weusedthreeringswith0.5KM,1KMand2KMradiusesto
measurewhetherthereisaneffectofbeingneartothestationatthe0.5KMand1KMdistance,withthe1
to2KMringconsiderednotnear.
Transitpremiumsweresomewhatobservedforhomeswithinthe0.5KMringcomparedtohomesinthe
1KM ring; however, the value was small at around 2.6% overall. When considering 1KM and closer as
“near”and1KMto2KMas“notnear”nodistancepremiumswereobserved.Thismaybeduetotheareasof
studythathavehighvehicledependencyandarerelativelywealthy,andtherefore,arenottargetusersof
rapidtransit,aswellasthelimitationsofthemultiplesalesmethod.
2
TABLE OF CONTENTS
ABSTRACT............................................................................................................................................................................................1
TABLEOFCONTENTS........................................................................................................................................................................2
INTRODUCTION..................................................................................................................................................................................3
RAPIDTRANSITINVANCOUVER...................................................................................................................................................4
CANADALINE..................................................................................................................................................................................................................5
AREACHARACTERISTICS.................................................................................................................................................................6
LITERATUREREVIEW:THEORIESANDFINDINGS..................................................................................................................8
METHODOLOGY................................................................................................................................................................................10
REGRESSIONS...............................................................................................................................................................................................................13
RESULTS&INTERPRETATION.....................................................................................................................................................14
ALLSTATIONS–“OVERALL”REGRESSION.............................................................................................................................................................16OVERALLTIMEPERIODTRENDS..............................................................................................................................................................................18INDIVIDUALSTATIONS................................................................................................................................................................................................19Broadway/CityHall...............................................................................................................................................................................................20KingEdwardAvenueStation.............................................................................................................................................................................21OakridgeMall/41stAvenueStation...............................................................................................................................................................21Langara/49thAvenueStation..........................................................................................................................................................................22MarineDriveStation.............................................................................................................................................................................................22
LIMITATIONS.....................................................................................................................................................................................23
PROXIMITYTOEAST‐WESTFEEDERTRANSITROUTES.......................................................................................................................................23CAMBIECORRIDORPLANDENSIFICATION..............................................................................................................................................................23REPEATSALESANALYSIS...........................................................................................................................................................................................24
WORKSCITED...................................................................................................................................................................................25
APPENDICES......................................................................................................................................................................................27
APPENDIXA.................................................................................................................................................................................................................27APPENDIXB.................................................................................................................................................................................................................28APPENDIXC..................................................................................................................................................................................................................29APPENDIXD.................................................................................................................................................................................................................30APPENDIXE..................................................................................................................................................................................................................31
3
INTRODUCTION
Ourpaperaddressestwoquestions:1)whetherthereisanappreciationofhousingpricesafterthe
confirmationofa rapid transit station in the immediateareaand2) if there isanappreciation,atwhat
pointittakeseffect.Weexaminedwhetherthereisanincreaseinhousingvalueswiththeexpectationof
rapidtransitcompletionandatwhatpointsthese increasesoccurredovertheyearsarapidtransit line
wasbuilt, aswell as after completion.Our research focusedonVancouver’sCanadaLine:weexamined
housingpricesintheareassurroundingfiveCanadaLinestopslocatedalongtheCambieCorridorwithin
Vancouver.Byanalyzinghousesaleswithina0.5KM,1KMand2KMradiusofeachstopduringdifferent
timeperiodsof thebuildingof theCanadaLine,weare able to seewhether the anticipationof a rapid
transitstopwithinahighlywalkabledistancedemandsanincreaseinhousingvalues.Wealsoanalyzed0‐
1KM and 1‐2KM radiuses to understand how far the effect of transitmay be felt. Using a repeat sales
analysisallowedustocontrolfortheattributesofeachhouseandisolatethepossibleeffectofthetransit
stopannouncement.Thefindingsinthisanalysiscanbeappliedtowardsupcomingproposedtransitlines
in the Greater Vancouver area, such as the proposed UBC extension, proposed additional Canada Line
transitstopsandtheEvergreenLinetoCoquitlamandPortMoody.
Additional questionswe attempt to answerwith our analysis price appreciation trends based on
stationcharacteristicsandifhousingtypehasasignificanteffectonrates.Ouranalysishasallowedusto
estimate the impact of future proposed transit nodes on current housing prices in areas targeted for
Transit‐OrientedDevelopment (TOD). Weare able to apply these forecasts to futureMetroVancouver
transit infrastructure projects and extrapolate the impact of transit additions and expansions. The
constant improvements tourban infrastructureaffecthowpeopleandcompanies locate,whichchanges
how land is valued. Our study benefits professionals in determining the timing and choice of land
acquisitionandhousingproductdevelopment,aswellasindividualsinmakingmoreinformedbuyingor
investmentdecisions.
4
RAPID TRANSIT IN VANCOUVER
MetroVancouverhasthreerapidtransitlinesreferredtoastheSkytrain:theExpoLine,Millennium
Line,andCanadaLine,asseenbelow.Inaddition,MetroVancouverofferscommutersrapidbusservices,
ferryservices,andacommutertrain,theWestcoastExpress.TheExpoLinewasthefirstrapidtransitline
constructedintheMetroVancouverservingtheWorld’sFair,Expo86’.TheExpolinehasbeenexpanded
multipletimes,extendingservicestotheCityofSurrey.
TheMillenniumLine,Vancouver’ssecondrapidtransitline,openedin2002servingNorthBurnaby
andEastVancouver.TheMillenniumLinewasoriginallytohaveasecondphaseconnectingtoCoquitlam
CityCentre.Thisphase,knownas theEvergreenLine,waspostponeddue toachange in theprovincial
governmentbutisnowscheduledtoopenbymid‐2016.Thisexpansionwillcostanestimated$1.4billion
(MinistryofTransportationandInfrastructure,2011).TheCanadaLine,whichopenedinAugustof2009,
isVancouver’snewest rapid transit line, connectingRichmondand theVancouver InternationalAirport
(YVR)toDowntownVancouver.Anotherexpansion,theUBCLine/BroadwayCorridorextension,isinits
planningstagestoconnecttheExpoLinewiththeUniversityofBritishColumbia.Thisexpansionisstill
beingconsideredandwouldreplaceTranslink’sbusiestbusroutesalongBroadwaywhereover100,000
5
tripsaremadedaily.Thisproposedlineisestimatedtocost$2.8billionandtoopenby2020(Ministryof
Transportation,2008).
CanadaLine
Inthisresearchpaper,ourhypothesiswillbefocusingontheeffectsoftheCanadaLineonsurround
house values. The Canada Linewas originally referred to as the Richmond‐Airport‐Vancouver Line or
RAV Line as it connects these threemajor points of transit. The linewas originally proposed in 2003,
shortly after Vancouver’s successful bid to host the 2010WinterOlympics. However, the 19.2 KM line
remainedinjeopardyasproponentsarguedagainstitsproposedcost,$1.7billion,anditspublic‐private
partnership plan (Mickelburgh, 2003). In June 2004 the provincial government agreed to take
responsibility for the project and assume financial risks, putting the project back on track (Armstrong,
2004). In December 2004, regional politicians voted 8‐4 for the project to proceed, setting the
controversialprojectinmotion(Mickleburgh,2004).
The Canada Line officially opened on August 17th, 2009, on budget and three and a halfmonths
aheadofschedule.Sincethen,ridershiphascontinuouslyexceededprojectedtargets.Translinkoriginally
projected the break‐even ridership to occur by 2014 at 100,000 passengers per day. However, by late
2010thelinehadreachedthisprojectedridership,threeyearsearly(Stuek,2011).Inadditiontogreater
6
thanexpectedridership, theCanadaLinehasdriven increaseddensificationalong theCambieCorridor,
where themajority of the stopsareplaced. InMay2011, theVancouverCityCouncil approveddensity
changesthataddasmanyas14,000people,betweenKingEdwardAvenuetoMarineDrive,inthenext30
yearsanditseffectsarealreadybeingfelt(Lee,2011).
AREA CHARACTERISTICS
The area surrounding the Cambie Corridor is composed ofmostly single‐family homeswith high
averagehousingvalues relative to the restofVancouver (seeAppendixA). Theareas surroundingour
fourchosenstops:Broadway/CityHall,KingEdward,Oakridge/41st.Langara/49th,andMarineDrive,also
haverelativelyhighaveragehousingvalues,withtheexceptionoftheBroadway/CityHallstopthathas
lowervaluesbutisofmuchhigherdensity.
EachareasurroundingaCanadaLinestationcarriesuniquecharacteristicsofferingdiversefeatures
toservicethepublic.DevelopmentssurroundingBroadway/CityHallareprimarilynewerandoldermid‐
to high‐risemixed‐use developments. Street‐level commercial and higher‐level offices file along main
arterialroadsandofthestationsstudieditholdsthehighestconcentrationofurbanuseanddensity;the
areacollectstrongtrafficflowsduetotheproximityofhighlyfrequentedlocationssuchasCityHalland
VancouverGeneralHospital.AstheCanadaLinetravelssouth,theareahasanactivepedestrianflowwith
low‐rise commercial and small stripmalls running alongCambie Street andwith lowdensitydetached
residentialandsingle familyhomes intheproximatearea. Oakridge/41ststation’shighlighting factor is
Oakridgemall,whichprovides citywideand local serving shopsandservices. Theareamainlyhouses
singlefamilyhomesandnumerousschoolsandparks,whilethearterialroadsarebusycommuterroutes.
Only nine blocks south is the Langara/49th station, primarily servicing the stream of college students
attending nearby Langara College. The area has a popular golf course nearby, housing consists of low
density residential units,mainlydetachedhousingwith some low‐rise attacheddwellings. TheMarine
Drive area is currently undergoing high density development; however the area is still predominately
7
industrialandbigboxcommercialretailers,whiletothenorthofMarineDrivethereissomelow‐density
housing.
Thenumberandaveragevalueofhouseholds,andtheaverage incomepercapitaof those located
withina1KMbufferzoneofeachtransitstations,isshownbelow.
Figure1|AverageAreaValueswith1KMBuffer
TransitStationsAverageHousingValues
NumberofPrivateHouseholds
AverageIncomeperCapita
Broadway/CityHall $426,567 462 $40,327KingEdward $680,365 197 $35,516Oakridge/41stAve $757,608 220 $32,558Langara/49thAve $700,455 241 $36,474MarineDrive $577,789 194 $28,829*Basedon2005data
8
LITERATURE REVIEW: THEORIES AND FINDINGS
Giventheassumptionsthatrapidtransitimprovesaccessibility,andreducestraveltimeandtravel
costs for the neighbourhoods near the transit stations, we expect higher house price appreciation for
propertiesthatarelocatedclosetotransitlines.Furthermore,improvedaccessibilityandpedestrianflow
would make rail transit stations more attractive for commercial uses, amenities, and higher density,
transit‐orienteddevelopments.Thisinturnwouldcreatemorevibrantneighbourhoods,whichmayalso
contribute to increased house price appreciation. We have formulated our hypothesis based on past
literaturethatwewillsummarizebelow,aswellastheaforementionedreasons.
There have been several studies that have examined the effect of rapid transit on residential
housingvalues.AlthoughnoneofthesecasestudieshavefocusedspecificallyontheCanadaLine,theyare
nonethelessrelevantandhaveassistedusinformingourhypothesis.Theresultsfromthesestudieshave
varied depending on several influences that each study has controlled for. For instance, many have
comparedpriceappreciationtothemedianincomesoftheimmediateareassurroundingthestationsand
have found this to be an important factor in determining which stations will observe higher price
appreciation. Additionally, some have considered “net benefit” effects, accounting for factors thatmay
increaseaswellasdecreasepropertyvalues.
However,somestudieshaveobserved lowervalues forresidentialproperties locatednear transit
stations.AnexampleofthisisastudyconductedbyCerveroandDuncanwheretheyexaminedtheland
valueimpactsofrailtransitinLosAngelesCounty(Cervero&Duncan,2002).Theauthorsmentionedthat
one explanation for this may have been that many major transit stops in the County lie within
redevelopmentdistricts.Thisshowsthateverystudyisuniqueandthattheremaybenumerousfactorsin
additiontotransitstationproximitythatmayaffecthouseprices.
Anegativeimpactonhouseprices,however,hasbeenlesscommon.Areportpublishedin2010by
theRealEstateInvestmentNetworkinCalgaryexaminedtheimpactoftransportationimprovementson
9
housingvalues inCalgary, and inadditioncreateda synopsisofpublishedworks thathave studied the
topic(seeAppendixB).Thistablefurthersolidifiesourexpectationthatpriceappreciationwillbehigher
for homes that are located closer to Canada Line stations. Although the results have been mixed, the
majorityofpaststudieshave foundthat there isapositiveeffectonhousevalues, though thisvaries in
termsofmagnitude.
As Bowes and Ihlanfeldt have discussed in their study, themixed resultsmay have been due to
“simultaneousandcompetingeffectsofrailstationsonnearbyproperties”(Bowes&Ihlanfeldt,2001).To
account for this, they went beyond the simple effect of proximity and looked at four factors
simultaneously and separately, two of which have positive effects and two that have negative effects.
Positive factors include the access advantage due to shorter, less stressful commutes, and the indirect
externalityofincreasedcommercialservicesthatlocateneartransitstations.Negativefactorsincludethe
directeffectoftheincreaseinnoise,pollutionandgeneralunsightlinessofthestations,inadditiontothe
indirecteffectofheightenedcrimeduetoimprovedaccesstothearea.Theauthorsfoundthatallfourof
these factors played significant roles in the connection between property values and rail stations.
However,theirsignificancevarieddependingonthedistanceoftheneighbourhoodfromtheCBD,andthe
medianincomeoftheneighbourhood.Ourstudydidnottakea“netbenefit”approach.Rather,ourpaper
differsfromseveralpaststudiesinthat,inadditiontolookingattheeffectofproximitytotransitstations,
we also look into the difference in price appreciation at different time intervals, and also compare the
resultsofdifferentstations.
McMillenandMcDonaldtookanapproachsimilartoours, in thattheystudiedtheeffectofanew
transit line inChicagoonsingle‐familyhousepricesbeforeandafter theopeningof the line,usingdata
overa17yeartimeperiodtoseehowpricesvariedovertime(McMillen&McDonald,2004).Theirresults
showedthatalthoughthelinewasnotcompleteduntil1993,housepriceswerebeingaffectedasearlyas
1987, when the plans became known. Generally, the authors found that appreciation rates were
approximately6.89%higherbetween1986and1999 thancomparablehomes farther from thenearest
10
transitstation.Althoughthisapproachissimilarduetothefactthatitlooksforpriceappreciationcaused
bytheanticipationof thetransit line,wehavedecomposedthedata furthertobefore,during,andafter
construction,inadditiontobytransitstationtoseewhichareaand/ortimeintervalwasmostimpacted
bytheCanadaLine.
PerhapstheclosestcasestudycomparisonisonethatwasconductedbyFergusonin1984,where
he studied the impact of Vancouver’s first Advanced LightRail Transit, the Expo Line, on single‐family
propertyvaluesbefore the transit systemwas inoperation(Ferguson,1984).Fergusondiscovered that
themarketinVancouverwasreactingtothetransitsystemapproximatelytwoandahalfyearspriorto
thecompletionofthetransit line,showingevidenceofspeculationinthemarket’sexpectationof future
gains.
In terms ofmethodology, several studies used hedonic regressionmodels to look at the general
housepriceappreciationcontrolledforthosenearandnotneartransitstations.However,sinceourstudy
examinestheeffectofspecificevents,wehaveusedtherepeatsalesanalysistolookatpricechangesfor
thesamehousebeforeandaftercertainevents,thuscontrollingforthephysicalcharacteristicsthatmay
affecthousingpricedifferences.Wewillexpandonourmethodologyinthefollowingsectionofthispaper.
METHODOLOGY
Ourstudyusedrepeatsalesanalysisandln‐specificationregressiontodeterminethelevelofprice
appreciation inhomesnearCanadaLinerapid transit stationsbeforeandaftercertainevents.A repeat
sales method was appropriate for our study because it required much less data regarding the
characteristics of each transaction and allowed us to control for other factors thatmay affect housing
prices. By looking at the transaction of the same property over a certain period of time,we no longer
required the specific characteristics of the house, assuming that these characteristics remained stable.
ThedataweusedwasextractedfromtheRealEstateBoardofGreaterVancouver’sMLSdatabase,called
11
MLS Link. We were able to find data for houses sold between 2000 and 2012. This time period was
sufficientforourstudybecauseitcoveredthetimebeforetheCanadaLineannouncement,confirmationof
theproject,duringconstruction,adpost‐construction.
WechoseBroadway/CityHall,KingEdward,Oakridge/41stAve,Langara/49thandMarineDrivefor
their Vancouver location. We excluded Downtown and Richmond due to their different natures and
dynamics,aswellastofocusourscopeofanalysis.TheOlympicVillagewasexcludedduetothelackof
repeatsalesdata,astheareaistransitioningfromindustriallandswithafocusonpre‐saleproductsand
anyrepeatswerealreadypartoftheBroadway/CityHallarea.
Research conducted by the Planning Committee of Fairfax Country, Virginia regarding walking
distancesforTransitOrientedDevelopmentsdeterminedthatdistanceswithin500metresareconsidered
highlywalk‐able,while 500 to 800metres is considered to be an acceptablewalking distance (Fairfax
County,2006).Theirresearchshowedthatupto0.25miles(402metres) isgenerallydefinedaswithin
walkingdistance,buthighlightedthat forrail transitstationsandresidentialuses,peoplearewilling to
walkupto0.5miles(805metres).Comparing1KM,aswasdefinedbyourdataset,toalargerringof2KM
allowedusencompassallthewalkabilityaroundastationupto10minutes.However,asa0.5KMradius
isconsideredmostwalk‐able,wewerecurioustofindoutiftherewasasignificantdifferencebetweenthe
0.5KMringsandthe1KMrings.Consequently,weorganizedourdatatolookattwosetsofcomparisons:
1| SmallSet:ComparisonofhomeswhereNear=a0.5KMringaroundastationandNotNear
=a0.5KM‐1KMringaroundastation.Thisallowedustocompleteasmaller‐scaleanalysisto
determinepremiumsassociatedwithhighly‐walkabledistances.
2| LargeSet:ComparisonofhomeswhereNear=a1KMringaroundastationandNotNear=
a1KM‐2KMringaroundastation.
Each observation (a unique address) was assigned a "1" to whichever categories they fell into:
station, proximity, and attachedness,where detached is a single family home and attached includes all
multi‐familyhomevarieties.Thisallowedustoexecuteper‐stationanalysestocontrolforandunderstand
12
theimpactthattransitstationshaveonareaswithdifferinglevelsandtypesofrealestatedevelopment,
basedonourunderstandingofeachstation'sareacharacteristicsandtheregressionresults.
WeusedMicrosoftExcel to categorize eachobservationaccording to the station itwas closest to
andhowclose.Ifanobservationappearedinmorethanonestationarea,theobservationwas'given'to
thesmallestproximityasthehomelikelyenjoysthecloserproximity‐ forexample,anobservationthat
showedupinthe1KMringofonestationandthe0.5KMringofanotherwasgiventothe0.5category.
Homeswithinthesameproximityringweremergedandassignedavalueof1forbothstations.Wealso
identifiedwhethertheobservationwasanattachedhomeornottocontrolforthepossibledifferencein
priceappreciationpatternsforthetwoproducttypes.
Thenextstepinvolvedusingdatawithinourspecifiedringsandsortingthemintosixtimeperiods
basedonthefollowingkeydates:
1| Confirmation:January1,2005.ActualconfirmationwasinDecember2004,butforsimplicity
insortingthedata,welookedatbeforeandafterJanuary1,2005.
2| Construction: January 1, 2006. Actual construction began in September 2005. However,
construction may not have been disruptive at this point, and the colder season may have
reducedopen‐air,disruptiveconstruction.Tocontrolfornegativeeffectsofconstructionand
tomakesortingthedatasimpler,wesetthisdatetoJanuary1,2006.
3| Post Construction/Operation: January 1, 2009. Substantial completion occurred in early
2009.Atthispoint,heavy,nuisance‐causingconstructionwascompleted.
Thedatesnotedabovecreatedthefollowingdummyvariabletimeperiods:
TimePeriod Description DateRangeBeforeConf(Near/Far) Bothsalesoccurredbeforeconfirmationof
theCanadaLineBeforeJanuary1,2005
StraddleConf(Near/Far) FirstsaleoccurredbeforeconfirmationoftheCanadaLine.Subsequentsaleoccurredafterconfirmation,includingduringconstruction,butbeforecompletion.
From 2000‐2004, andfrom 2005‐2008,inclusive
Constr(Near/Far) Bothsalesoccurredduringconstruction. 2006‐2008,inclusiveBefAfConstr(Near/Far) Firstsaleoccurred anytime before
constructionbegan;subsequentsaleBefore2005,andin2009orlater
13
occurredaftercompletion.StraddleOp(Far/Near) Firstsaleoccurred duringconstruction,
subsequentsaleaftertheCanadaLinewentintooperation
In 2006‐2008, and in2009orlater
AfterOp(Near/Far) BothsalesoccurredaftertheCanadalinewentintooperation
2009orlater
Bycreating thesetimeperiods,wewereable to trackwhathappenedtohouseprices indifferent
scenarios throughout the development of the Canada line. "Before Confirmation" can be viewed as a
controltoshowthegeneralrateofpriceappreciationbeforerapidtransitbecameacertainty.Assigninga
dummyvariable foreachtimeperiodandwhetherthehomewasnearor farprovideduswithabsolute
certainty that the TimePeriods*Near/Far categories, a series of quasi‐interaction variable, were fully
utilized.Thisformatalsoallowedustopresenttimetrenddatamoreeasily.Aftersorting,wenotedthat
thenumberofobservationsfornearandnot‐nearsalespairswasfairlyevenlydistributedthroughout.
Regressions
RegressionswereperformedinStata10andincludedan“Overall”regressionwhichcomprisedall
observationswithin a set, aswell as “Per‐Station” regressions to observehowparticular stationswere
affecteddifferentlybytheeventsoftheCanadaLinedevelopment.Ourfinalregressiontooktheformof:
ln(Pi,b‐Pi,a)=β0+β1‐6(timeperiod_near)+β7‐12(timeperiod_far)+β13(attached)+β18(attachedxnear)+ε
wherePisthepricesofpropertyiwhensoldinperiodaandperiodb.β0isanambiguousconstantthatis
detached, but has no specific nearness, time period or station area (as in the “Overall” regression).β1‐
6(timeperiod_near)denotes thesixnear timeperioddummyvariablesandβ7‐12(timeperiod_far)does the
same for observations not near a transit station. β13(attached) and β18(attachedxnear) are dummy
variablesforattachednessandattachedhomesnearthestationrespectively.Additionaldummyvariables
forstationswereusedinthe“Overall”regression.
Interpretation of these regressions included reading the rate of price appreciation for each time
periodandthentestingwhetherthemeansbetweennearandfarweresignificantlydifferent.Weusedthe
14
testx1=x2command(Waldtest)anddeterminedthatifProb>Fwaslessthan0.05,thenthemeanswere
significantlydifferentatthe95%level.Wetooketothepowerofthedifferencebetweenthenearandfar
meansasanestimateofthedifferenceinpriceappreciationratesofnearandfarhomes.
Initially,wehadplannedtoincludedummyvariablesforeachyearfrom2000‐2012,whichseemed
idealtocontrolforunusualyearsofappreciation.However,werealizedthishadlimitedmodelingpower
forus,aseachpricedifferencevalueisassignedtoasinglesalespairandtotrackyear‐by‐yearaverages
from across all sales pairs was beyond our scope and tools at the time. Instead, we focused on the
significanceofnearnessduringparticulartimeperiods.
RESULTS & INTERPRETATION
WefoundevidenceoftransitpremiumsfornearhomesmoreoftenintheSmallSet,wherehomes
within500metersofCanadaLinetransitstations inVancouverwereconsiderednear.However,notall
stationsexperiencedpositiveorsignificanttransiteffects.TheLargeSetpresentedseeminglyconflicting,
significantly negative transit reductions in comparison. Attached homes significantly reduced
appreciation rates inboth theSmall andLarge sets. In contrast, somehomeswhichwereattachedand
near (AttachedxNear) in existing high‐density, transit‐oriented areas showed significant positive
appreciation inLargeSetresults,while in theSmallSet,allsmallpositiveeffectswere insignificant.We
believethisishighlycorrelatedtoareacharacteristicsandthesupplyofattachedhomes.Fortheformer,
areas already highly developed relative to the other stations seemed to show little or negative price
appreciationcomparedtotheirnon‐nearcounterparts.Stationareasbelievedtohavehighdevelopment
potential,suchasKingEdwardandMarineDriveStation,postedparticularlyhighpremiums.Thiseffect
maybeexplainedbytheexpectedbenefitofconnectingtheseotherwisehighlyvehicle‐reliant,residential
areas to rapid transit, as they present an opportunity for higher‐density, mixed‐use development and
general improvement to create pedestrian‐friendly, transit‐oriented neighbourhoods. As such, both
owner‐occupiers and developers may be willing to buy homes and land at a premium for the future
15
opportunity of an improved neighbourhood or for development, respectively. For the latter, a possible
explanation is that attached homes are increasing in supply, while detached homes are decreasing,
resultinginlowerpriceappreciationforattachedhomes.Nevertheless,existingstocksofattachedhomes
nearstationsarevaluedmorehighlythannon‐nearattachedhomes,whichisaresultweexpected.
TheLargeandSmallSets’conflictingresultsmaybeexplainedbyafewfactors:
1| TheSmall Set’snon‐nearhomesare still affectedby transitproximity, such that theoverall
differencebetweennearandnon‐nearisinsignificant;conversely,theLargeset’s1‐kilometre
ringcapturesallpositiveeffectsoftransitproximitycomparedtonon‐nearcounterparts.
2| The Large Set’s 2‐kilometre rings reach intomultiple Vancouver neighbourhoods, many of
which currently comprise, for the most part, detached single family homes (higher
appreciationrates)orareservicedbyothermajorfeederrouteswhichhavetheirowntransit
oraccessibilitypremiums.
3| In some predominantly residential areas, attached homes are low‐density types such as
townhomes, duplexes, and low‐density apartment complexes. Consequently, there may be
littledifferenceinnearhomesthatareattachedthannotattached,orattachedandnotnear,
comparedtothesignificantdifferencesseenaroundstationssuchasBroadwayandOakridge.
Low‐densityattachedhomesaremorelikelytobetargetedforhigher‐densityredevelopment
near stations, such that transit premiums may become more apparent only after an area
completesthebulkofitschanges.
AsithasonlybeenacoupleofyearssincethecompletionoftheCanadaLine,Vancouverrequiresmore
transitiontimebeforeitconsistentlyshowsapatternoftransitpremiums,ifany,inrepeatsalesdata.
Our resultsalso show thatVancouver experienced clearprice appreciation trends specific to each time
period during the development of the Canada Line, with higher appreciation rates at the time of
confirmationandatcompletionoftheCanadaLine.Wecanattributetheoverallincreasestothepositive
expectationofanewrapidtransitlinetoVancouverandthebenefitsitwillprovidethroughoutthecity,
ratherthanjustareasnearthestations.RegressionoutputscanbefoundinAppendixE.
16
AllStations–“Overall”Regression
Basedontestingthesignificanceofthedifferenceofmeansforeachtimeperiodpair,wefoundtime
periodswithsignificantpriceappreciationratesforhomesnearastationineachset,asfollows:
TimePeriod Observation
Estimated premium/discount for near homes, based on e^(themeandifferenceofcoefficients).
SmallSetBeforeandAfterConstruction 7.23%transitpremiumDuringandAfterConstruction 4.85%transitpremiumLargeSet BeforeConfirmation ‐3.78%reductionDuringConstruction ‐5.35%reductionBeforeandAfterConstruction ‐9.48%reductionDuringandAfterConstruction ‐4.11%reduction
Stations were generally not significant at the 95% level in determining price appreciation
differences,whichwe expected, but tested for on the off‐chance that a fewwould be. Small Set's 41st
Avenue Station and Large Set’sMarineDrive Stationwere significant, reducing price appreciation by ‐
3.0%and‐4.2%respectively.
Nextpage:OverallResults
17
18
Throughout our analysis, we found that attached homes experienced significantly lower price
appreciationatalltimes,rangingfrom‐7.9%to‐3.1%intheSmallSetand‐14.2%to‐4.2%intheLarge
Set.Within individualstationareas,attachedhomes in theLargeSetreducedoverallpriceappreciation
morethanthoseintheSmallSet(i.e.attachedhomesclosertostationsappreciatedmore,butstillreduced
the overall appreciation rate), with some stations in the Small Set showing almost half the decreasing
effectofattachedhomesthantheirLargeSetcounterparts.ApossibleexplanationisthattheLargeSet’s
not‐near rings encompass more areas with single family homes, which appreciate higher as attached
homesincreaseinsupplyovertime.
OverallTimePeriodTrends
Ourtimeperiodregressionsshowanoverallpriceappreciationpatternforhomesboughtandsold
atspecificpointsalongtheCanadaLinedevelopmenttimeline.Resultsindicategreat increasesinprices
upontheconfirmationoftheCanadaLine,asexpectedofpositivenews.Thejumpinappreciationratesis
regardless of nearness to a station,
which shows the expectation of the
positive benefits the Canada Line will
provide the city overall. This is in
contrast to the notably lower
appreciation rates for homes near a
plannedstationduringtheconstruction
period,whichcanbeattributedtothenuisanceofconstructionhappeningcloseby.
Before/After Construction shows the highest appreciation rates. This is likely due to both the
passageoftime‐‐asthistimeperiodcomprisesthemostnumberofyears‐‐andsellingagainonlywhen
theCanadaLineiscomplete.TimeperiodsaftertheconfirmationoftheCanadaLinegenerallyfellbackin
line with the appreciation rates of past periods, but with some evidence of an upward, downward or
steadytrenduniquetothestation.
19
IndividualStations
Based on the characteristics of each station's immediate area, it seems that homes near stations
withrelativelyhigherlevelsofpre‐existingnon‐residentialdevelopmentandmajortransitconnectionsat
thetimetheCanadaLinewasconfirmedmetwiththeleastamountofsignificantrapid‐transit‐basedprice
appreciation.Forexample,BroadwayCityHallexperiencedlimitedorreducedpriceappreciationinboth
the Small Set andLarge Set ring comparisons. In contrast, stationswith primarily single‐family homes,
low‐density zoning or limited commercial amenities, but with the opportunity for development and
revitalization, resulted in thehighest levelsof transitpremiums: inparticular,KingEdward'sestimated
transitpremiumwhenthestationcompletedwas49.56%forhomeswithin0.5KMof thestation,while
homeswithin0.5KMofMarineDriveStationsawa45.09%transitpremium.Attachedhomescontinued
topostlowerappreciationratesacrossallstationsandsetsizes.However,onlythestationswithahistory
ofhigher‐densitydevelopment showed significantprice appreciation for attachedhomesnear a station
(LargeSet):Broadwaywith2.39%andOakridgeat8.20%.
The rate of price appreciation followed the general trend as described above: a sudden increase
uponconfirmation,asharpdecreaseduringconstructionthat isoftenbelowpre‐confirmationratesand
much lower for thosenear than far, and an increasewhen construction completes. Whether the post‐
completion price appreciation rate exceeded the pre‐confirmation rate ormaintained a premium over
non‐nearcounterpartswasuniquetothestationandremainedambiguousoverall.
Thefollowingselectedgraphsshowtherelativepriceappreciationrateco‐efficientsbytimeperiod
fortwocontrastingstations:41stAvenue,wherethereisnosignificantevidenceofatransitpremium,and
MarineDriveStation.
20
The variance between each station's price appreciation patterns seems to contribute to the
ambiguityofwhetherornotatransitpremiumexistsoverall.
The following is a summary of each station's highlights, alongwith possible contributing factors
basedonareacharacteristicsforcertainpriceappreciationobservations.Observationsareforhomesnear
stationsandarecalculatedbyraisingebythedifferencebetweenthenearandnon‐nearcoefficients.
Broadway/CityHallBroadway/CityHall ObservationSmallSetBeforeandAfterConstruction 4.18%transitpremiumLargeSet BeforeandAfterConfirmation ‐3.34%reductionBeforeandAfterConstruction ‐10.96%reductionDuringandAfterConstruction ‐3.82%reduction
Highlights
‐ The Large Set’s AttachedxNear is significant and positive at2.39%.‐Posted largestpriceappreciationratedropof all stations forDuring Construction from the previous time period(Before/AfterConfirmation).‐ During/After and After Completion time periods showuniformlylesspriceappreciationthanBeforeConfirmation.
PossibleFactor(s)
‐ Broadway has always been highly connected by major busroutes.‐High levelsofexistingcommercialandgovernmentbuildingsandamixofnewandoldresidentialdevelopments.‐ Discount/reduction may be due to the existing prominenceand gradual increase of attached homes (including convertedsinglefamily)intheimmediatearea.
21
KingEdwardAvenueStationKingEdwardAvenue ObservationofpriceappreciationSmallSetBeforeandAfterConstruction 49.56 %transitpremiumDuringandAfterConstruction 23.14%transitpremiumLargeSet BeforeandAfterConstruction: ‐22.19%reduction
PatternHighlights‐Smallset:Whilenotallthenearvariablesaresignificantatthe95% level, the area shows a distinct transit proximity trendthroughout.
PossibleFactor(s)
‐Premiumsduetolandusechangeopportunities:existingareais primarily low‐rise/low‐density residential, previously withlimited connections and few non‐residentialfeatures/amenities.‐LargeSetreduction:Sincethereisalargetransitpremiumforhomeswithin500mofastation,thereis less impactwhenthe0.5KMringismergedwiththe1KMringfortheLargeSet.
OakridgeMall/41stAvenueStationOakridgeMall/41stAvenue ObservationLargeSet BeforeandAfterConfirmation ‐11.92%reductionBeforeandAfterConstruction: ‐18.78%reductionDuringandAfterConstruction ‐24.77%reduction
Highlights
‐ Near is completely insignificant for the Small Set: smallestlevelsofestimatednear/fardifferencesofallstations foreachtimeperiodpair.‐ Posted highest reduction numbers for Attached in both theSmall and Large Set of all stations: ‐7.29% and 14.24%respectively.‐ AttachedxNear is significant in the Large Set, showing an8.20%premium.
PossibleFactor(s)
‐ Oakridge/41st has large stock of existing commercial (mall,undergoing upgrades), a relatively even gradient of attachedhomes and smaller single families across the 1KM ring, andconnectionstoavarietyofarterialroadsandbusroutes.
22
Langara/49thAvenueStationLangara/49thAvenue ObservationofpriceappreciationSmallSetBeforeandAfterConstruction ‐25.16%reductionAfterCompletion ‐16.19%reductionLargeSet BeforeandAfterConfirmation 12.87%transitpremium
Highlights
‐ Is the only station whose nearness at 500m consistentlyand/or significantly reduces appreciation rates across alltimeperiods.‐ Considerably higher post‐completion appreciation ratesthanBeforeConfirmationrate.
PossibleFactor(s)
‐ Area has Langara college, golf course, low‐densityresidences; otherwise limited pedestrian and otherdestinationactivities.Opportunityforrevitalization.‐ Near reduction: Possibly related to perceptions of areademographics and therefore what house type and features“ought to be” there and who is interested in the area. e.g.student/faculty‐based. The 1KM ring likely resolves thedownside of being too close to the station, whatever itprovestobe.
MarineDriveStationMarineDrive(SW) ObservationSmallSetBeforeandAfterConstruction 16.17%transitpremiumDuringandAfterConstruction 18.58%transitpremiumAfterCompletion 45.09%transitpremiumLargeSet BeforeandAfterConstruction ‐8.14%reduction
Highlights‐Smallsetshowspotentialforsustainedhighgrowthfor thenearfuture:theestimatedpremiumsincreasedovertime
PossibleFactor(s)
‐ Marine Drive was primarily industrial with some low‐densityhousing forms to thenorthand limitedpedestrian‐relatedcommercialactivitydespitetheSouthBusLoop.‐LargeSet:2KMringreaches intoestablishedsingle‐familyneighbourhoods,andthehigh‐premium500mring loses itsproximityeffectwhenmergedwiththe1KMring.‐MarineDrivehasbeenafocalpointintheCambieCorridorPlanwithmanyplansforhigh‐densitydevelopmentlandusechangesandrevitalizationinplace.
23
LIMITATIONS
Thereareseveraluncontrollablefactorsbindingourstudy,whichmayhaveaffecteddata,analysis,
andouroutcome.Threeprimarylimitationsaredetailedbelow:
ProximitytoEast‐WestFeederTransitRoutes
TheCanadaLinerunsnorth‐to‐southalongCambieStreetinVancouver.Inourstudy,anumberof
our analyzed transit nodes intersect with major bus routes connecting Vancouver from east to west.
These feeder transit routesmay be influencinghousingprice appreciation. For example, the 99B‐line
runsalongBroadwayAvenueand isNorthAmerica’sbusiestbus route carrying50,000passengersper
day(Dobrovolny,2010). Additionalexpressbusroutes includethe84, travelingalongWest4thAvenue
andthe43,whichoperatesduringmorningandeveningpeakrushhourcommutingtimeson41stAvenue.
CambieCorridorPlanDensification
OnMay9,2011,Vancouver’sCityCounciladoptedtheCambieCorridorPlan.Thisstudydesignates
futurelandusealongCambieStreetfrom16thAvenuesouthtotheFraserRiver(VancouverCorridorPlan,
2011).ThestudyshowstheCity’splantoincreasedensitywithin800m(10minutewalk)aroundexisting
Canada Line Transit Stations and proposed stations at 33rd and 57th in Vancouver (see Appendix D).
Although it appears the approval of the Cambie Corridor Plan would only affect 2011 data analysis,
speculation leading up to the Plan’s approval may have skewed sales prices and number of sales.
However, this potential appreciation due to densification can be attributed to the Canada Line, and
thereforeshouldbeincludedinouranalysisontheeffectoftheCanadaLine.Aspertheresearchinthe
‘ImpactsofRailTransitonPropertyValues’,railtransitmayincreasepropertyvaluesincloseproximityto
stationsforpotentialdevelopment.Existinglowdensityusecanbeconvertedtohigherdensity;however,
such changes are highly dependent on local jurisdictions perspectives on development growth (Diaz,
1999).
24
RepeatSalesAnalysis
Therepeatsalesmethodobviatesinformationassociatedwiththeheterogeneousnatureofhousing;
it simply measures the price change of the same housing unit over time (Guntermann & Taylor,
2009). While a hedonic regression analysis includes a value for each housing attribute such as size,
location, and number of bedrooms, a repeat sales analysis assumes the house maintains the same
attributesovertime.Therefore,ifahousehasbeenrenovatedbetweentherepeatedsales,thiswouldnot
be reflected in the repeat sales method. In addition, any improvement to the neighbourhood, such as
increasedamenities,thatoccurredbetweentherepeatsalesdatescouldappreciatethehousingvaluesin
thearea.Usingtherepeat‐salesmethod,thisappreciationwouldnotbeattributedtoincreasedamenities
asthemethodassumesallthehousingattributesremainthesame,includinglocationfactors.Therefore,
thiscouldartificiallyattributeanincreaseinhousingpricesduetotheCanadaLine.
25
WORKS CITED
Armstrong,J.(2004,June11).ProvinceofferstofootbillforRAVline;$1.7‐billiontransitproject
backontrackasPremierpledgestoassumefiscalrisk.TheGlobeandMail.Retrievedfromwww.theglobeandmail.com
Bowes,D.&Ihlanfeldt,K.(2001,July).IdentifyingtheImpactsofRailTransitStationson
ResidentialPropertyValues.JournalofUrbanEconomics.Retrievedfromhttp://www.sciencedirect.com/science/article/pii/S0094119001922144
Dobrovolny,J.(2010,October5).T&TCommitteeAgenda–8301.CityofVancouver.Retrieved
fromhttp://vancouver.ca/ctyclerk/cclerk/20101005/documents/ttra1.pdfCampbell,D.(2010,April).TheCalgaryTransportationEffect2010/2011.RealEstateInvestment
Network.Retrievedfromhttp://www.realestateinvestingincanada.com/portals/0/media/calgary_transportation_%20report.pdf
Cervero,R.,&Duncan,M.(2002,June).LandValueImpactsofRailTransitServicesinLosAngelos
County.NationalAssociationofRealtors,UrbanLandInstitute.Retrievedfromhttp://realtorbenefitsprogram.org/wps/wcm/connect/e7187a004e88a38db7bcf76019b6e772/losangeles.pdf?MOD=AJPERES&CACHEID=e7187a004e88a38db7bcf76019b6e772
Diaz,B.(1999).ImpactsofRailTransitonPropertyValues.Booz,Allen&HamiltonInc.Retrieved
fromhttp://www.rtdfastracks.com/media/uploads/nm/impacts_of_rail_transif_on_property_values.pdf
Gibbons,S.,&Machin,S.(2004,January).ValuingRailAccessUsingTransportInnovations.Center
forEconomicPerformance.Retrievedfromhttp://eprints.lse.ac.uk/19989/1/Valuing_Rail_Access_Using_Transport_Innovations.pdf
Guntermann,K.&Taylor,Fred.(2009,May).RepeatSalesIndexReport.ASU‐W.P.CareySchool
ofBusiness.TheCenterforRealEstateTheoryandPractice.http://wpcarey.asu.edu/seidman/knowledge/rsi.pdf
Lee,J.(2011,May9).CouncilapprovesdensificationplanalongtheCanadaLine:Changeswill
fundamentallyalterthelookoftheareaandaddthousandsofnewresidents.TheVancouverSun.Retrievedfromhttp://www.globaltvbc.com/Council+approves+
Densification+plan+Canada+Line/4758039/story.htmlMcMillen,D.&McDonaldJ.(2004,September).ReactionofHousePricestoaNewRapidTransit
Line:Chicago’sMidwayLine,1983–1999.RealEstateEconomics.Retrievedfromhttp://onlinelibrary.wiley.com/store/10.1111/j.1080‐8620.2004.00099.x/asset/j.1080‐8620.2004.00099.x.pdf?v=1&t=h11jadmn&s=8cf5f818b853bdd928bba87f9aa8ff7eaa24483d
26
Mickeleburgh,R.(2003,August26).Ottawa,B.C.plantofundVancouverraillink.TheGlobeandMail.Retrievedfromwww.theglobeandmail.com
Mickelburgh,R.(2004,December2).ControversialB.C.transitlinegainsapproval;Criticsfear
$1.7‐billionVancouverprojectwillsiphonmoneyfromexistingservices.TheGlobeandMail.Retrievedfromwww.theglobeandmail.com
MinistryofTransportation.(2008).TheProvincialTransitPlan.Retrievedfrom
http://www.th.gov.bc.ca/Transit_Plan/Provincial_Transit_Plan_LR.pdfMinistryofTransportationandInfrastructure.(2011,November9).EvergreenLineRFP
Released.Retrievedfromhttp://www.evergreenline.gov.bc.ca/documents/NewsReleases/2011TRAN0096‐001456.pdf
MultipleListingsService,VancouverBC.(2012).MultipleListingServices.RealEstateBoardof
GreaterVancouver.RetrievedfromApril2,2012fromhttp://www.rebgv.org/Nagel,J.(2008,August22).RapidTransitDrivesLandPrices.TheReview.Retrievedfrom
http://ezproxy.library.ubc.ca/login?url=htpp://search.proquest.com/docview/374722533?Accounted=14656
ParsonsBrinckerhoff.(2001,February27).TheEffectofRailTransitonPropertyValues:A
SummaryofStudies.NEORailII.Retrievedfromhttp://www.reconnectingamerica.org/resource‐center/browse‐research/2011/the‐effect‐of‐rail‐transit‐on‐property‐values‐a‐summary‐of‐studies‐draft/
Stuek,W.(2011,January10).CanadaLineworkerstotakestrikevote.TheGlobeandMail.
Retrievedfromwww.theglobeandmail.comVancouverCityCouncil.(2011,May9).CambieCorridorPlan.VancouverCityCouncil.Retrieved
fromhttp://vancouver.ca/commsvcs/planning/cambiecorridor/resources/pdf/CambieCorridorPlan.pdf
27
APPENDICES
AppendixA
28
AppendixB
29
AppendixC
30
AppendixD
31
AppendixE
32
33