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Cost-EffectivenessofRailwayInfrastructure
RenewalMaintenance
GeorgeAveryGrimes,Ph.D.,P.E.
1
;,Ph.D.
2
Abstract:railwaysmaintaintheirinfrastructurethroughamixofordinarymaintenanceandperiodicrenewalofinfrastruc-
entrailwaysusedifferentproportionsofordinarymaintenanceandperiodicrenewalwithlittleconsensusastothe
rmore,thecost-effectivenessofemphasizingonemethodovertheotherhasnotbeenanalyzedusingempirical
ectiveofthisresearchistoinvestigatethecost-effectivenessofrenewal-basedmaintenancestrategiesusinghigh-level
fiultsindicatethatmaintenancestrategiesthatplacemoreweightonrenewalresultinlower
unitmaintenancecosts,atleastwithinaspecifiultsimplythatifrailroadsconstrainrenewalmaintenanceto
reduceoverallcapitalexpenditures,increasingmaintenanceexpenseswillmorethanoffsettemporaryreductionsincapitalspending.
DOI:10.1061/͑ASCE͒0733-947X͑2006͒132:8͑601͒
CEDatabasesubjectheadings:Railroadengineering;Maintenancecosts;Infrastructure;Capitalcosts
.
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Introduction
Sincetherailwayinfrastructureinvestmentboomofthemid-
1980s,allClassIrailroadshavemadesignificantefficiencygains
ininfrastructuremaintenancethataretheresultofimprovements
logicaladvancementsininfrastruc-
turecomponentssuchascleanerandhardersteelhavereduced
edcomponentmanagementhasalso
reducedcosts,forexample,newdevelopmentsinrailgrinding
andlubrication͑IHHA2001͒.Infrastructuremaintenancedelivery
systemsandmaintenanceequipmenttechnologyhavechanged
measurementtoolsandcross-functional
teamworkhastransformedtraditionalengineeringpractices.
Railroadsmaintaintheirinfrastructureusingacombination
rymain-
tenancegenerallyincludesthereplacementofsmallquantities
ofinfrastructurecomponentsusingrelativelysmalltrackgangs
andsmallequipment,whereasrenewalmaintenancetechniques
involvethereplacementoflargerquantitiesofcomponentswith
largergangsandbigger,moresophisticated,andmoreexpensive
rymaintenanceactivitiesarenormallycharged
tooperatingexpenseandrenewalmaintenanceprogramsto
capitalexpendituresaccordingtoSurfaceTransportationBoard
͑STB͒accountingrequirements͑1995͒.
noisatUrbana-Champaign,NewmarkCivilEngineering
Laboratory,MC250,Urbana,IL61801;presently,1572LeydenSt.,
Denver,CO80220.E-mail:avegrimes@
2
AssociateProfessorandDirectorofRailroadEngineeringProgram,
landEnvironmentalEngineering,noisat
Urbana-Champaign,NewmarkCivilEngineeringLaboratory,MC250,
Urbana,IL61801.E-mail:cbarkan@
sionopenuntilJanuary1,tediscussions
ndtheclosingdateby
onemonth,awrittenrequestmustbefiledwiththeASCEManaging
uscriptforthispaperwassubmittedforreviewandpos-
siblepublicationonFebruary5,2004;approvedonNovember8,2005.
ThispaperispartoftheJournalofTransportationEngineering,Vol.
132,No.8,August1,2006.©ASCE,ISSN0733-947X/2006/8-601–608/
$25.00.
1
Overthepast20years,allClassIrailroadshaveincreased
theiruseofrenewal-basedcomparedtoordinarymaintenance,but
thedegreetowhichtheydosovariessubstantially͑Fig.1͒.A
ClassIrailroadisonethatmetarevenuethresholdof$277.7
millionin2004intheUnitedStates͑AAR2005͒.Forthepur-
posesofthisanalysiswecalculatedrenewal-basedmaintenance
costusingaprocedure͑describedinthesectiononmethodology͒
thatseparatesrailroadcapitalexpendituresintocapacity-and
maintenance-relatedcomponents.
Usingthisdefinition,wefoundsubstantialvariationintheway
adsallocatedtheirmaintenance-relatedexpenditures
l
capitalspendingrepresentsthelargestsingleportionofthecapital
budget,withrenewalsaccountingfor67%oftotalcapitalspend-
ingin2002͑Fig.2͒.Thereisalsosubstantialvariationinrenewal
regimesamonginternationalrailroads͑Burns1983͒.
Bothrenewalcapitalexpendituresandordinarymaintenance
expensesrepresentcostsincurredformaintenanceofinfrastruc-
ture,buttheengineeringmanagementstrategyofeachdiffers
l-basedmaintenanceresultsinbetteraver-
lsasproportionoftotalmaintenancecost͑line
indicatesweightedaverageandbarsindicaterangeamongindividual
ClassIrailroads͒edaveragewas
calculatedonbasisoftotaldollarsexpendedbyallClassIrailroads.
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J. Transp. Eng. 2006.132:601-608.
tructureCosts
Purpose
Infrastructuremaintenance
Capacityexpansion
a
Excludingdepreciation.
Study
classification
Ordinary
Renewal
Additions
Accountingcategory
Operatingexpense
a
Capitalexpenditures
Capitalexpenditures
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lcapitalexpendituresaspercentageoftotaland
infrastructurecapitalexpenditures,andpermilliongrosstonmiles
͑2001dollars͒
agetrackconditionoverthelife-cycleofthetrackbutalsogreater
variationintrackquality͑Fig.3͒.Selectiveordinarymaintenance,
ontheotherhand,isgenerallyusedtomaintaintracktoaconsis-
tentminimumstandard͑Burns1980͒.Botharerequired,butan
emphasisononeortheothercanresultinawidevariationofunit
-qualitytrackmightsupportrelativelyhigh
axleloadswithahigh-maintenanceregime;conversely,higher
investmentcanmeanhigheraxleloadsandrelativelylowmain-
tenance͑AustralianGovernment2003͒.Therearealsosubstantial
differencesintheequipmentemployedandthescheduleofwork.
Ingeneral,renewalsinvolvecapitalexpendituresmadetore-
placeand/orimproveinfrastructurecomponentsinresponseto,or
anticipationof,wearandtearcausedbyoutput͑definedhereas
grosstonmiles͒.Bycontrast,capitalexpendituresforexpansion
offacilities͑terminalsandyards,sidingormainlinetrackage,
signalordispatchingsystems,etc.͒aremadetoaccommodaterail
traffir,postfactorail-
roadfinancialstatementsdonotsegregatecapitalexpenditures
purposesofthisstudy,ordinary
maintenanceisclassifiedasmaintenancethatisexpensed,re-
newalmaintenanceasmaintenanceactivitythatiscapitalized,and
additionsascapacityexpansion͑Table1͒.
Thequestionaddressedinthispaperiswhetherarelationship
canbedemonstratedbetweentheengineeringmanagementstrat-
egyandtheoverallcosteffectivenessofthemaintenancefunction
usinghigh-levelfinancialdata.
Background
Trackmaintenancebyrenewalisnotnewbutwasoriginally
developedintheUnitedStatesintheearly1900s,andeventhen
itwasbelievedtobelessexpensive͑Burns1981͒.Renewalwas
originallyperformedbyhandorwithrelativelysimplemachines.
isonoftemporalrelationshipbetweenrenewaland
ordinarymaintenanceandtrackquality
Recentchangesintechnologyandpracticehaveledtoimprove-
mentsinoverallefficiencyforbothordinaryandrenewal-based
maintenancetechniques,buttheefficiencydifferencebetween
smallsectiongangsperformingselectivemaintenance͑character-
isticofordinarymaintenance͒andlargemechanizedgangs
͑characteristicofrenewalmaintenance͒ffer-
enceresults,inpart,fromimprovementsindeliverytechnology
includingtrackrenewalsystems,tie-handlingequipment,surface
andliningequipment,raillayingequipment,andballastdelivery
systems.
Newermaintenance-of-wayequipmentissafer,cleaner,
easiertomaintain,andeasiertooperatethanearliermodels
͑Judge1999͒.Advancesincomputerizationhaveimproved
thereliabilityofthisequipment͑BrennanandKramer1997͒.
Althoughimprovementshavebeenmadeinalltypesofmachin-
ery,thehigh-end,high-productionequipmenthasprovidedmuch
oftherecentproductivityimprovement͑Kramer1997͒.These
advancesandthelargerscaleofequipmentandgangspermit
greatereconomiesofscalecomparedtoordinarymaintenance.
Renewalprogramsalsotendtohaverelativelylongplanning
horizonssothattrackpossessionscanbecoordinatedwithtrans-
ro-
gramsmaytargetvarioustrackcomponentsforreplacement,and
mple,
atieprogrammaytargetreplacementofcrosstieswithoutrenew-
ingtheballastsectionofthetrackstructure,whileatracksurface
andliningprogrammayrenewbothcrosstiesandballast.
Maintenance“blitzes”or“jamborees”areanultimatekindof
maintenanceblitzisusedtorenewinfrastructureinamanner
intendedtominimizetrackdowntime͑Stagl2001͒.InNorth
America,themaintenanceblitzgenerallyresultsintrackclosures
between4and12days͑BurnsandFranke2005͒.Engineering
departmentscoordinatethelargerenewalprojectswithtranspor-
tationandmarketingdepartments͑Foran1997͒.Maintenance
planninghasimprovedthroughadvancementsininformation
technology͑BrennanandKramer1997͒,andrailroadshavetrans-
formedmaterial-handlingsystemsaswellason-siteproduction
͑Kramer1997͒.
Renewalactivitiesnormallyrequiresignificanttrackposses-
sionwindowsthatcanbedifficulttoobtainathightraindensities.
Spotorselectivemaintenanceactivitiesnormallyrequireshorter
trackpossessiontimesandthusarelessdifficulttoobtainevenat
uently,hightraindensitiescanlead
toareducedrelianceonrenewalwork͑Kovalev1988͒,although
thenatureoflargeClassIrailroadstodaymaypermitalternative
onally,renewalmaintenance
ofteninvolveshigh-cost,high-maintenanceequipmentthatneces-
sitateshighutilizationratesthataredifficulttojustifyforsmall
sandotherreasons,routineordinary
maintenancecontinuestobeanimportantactivityinconjunction
withrenewalregimestominimizeunitmaintenancecost͑Grassie
andBaker2000͒.
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Studiesonrailwaymaintenancecostsdonotprovideinforma-
tionontherelativeefficiencyofemphasizingrenewal-based
eperiod1994to2000,
maintenancecostsinEuropedecreasedwhileexpendituresfor
renewalsincreased,andenhancedrenewalactivitygenerallyre-
sultedinlowerunitmaintenancecost͑UIC2002͒.Anotherstudy
foundthatmaintenanceandrenewalpracticesonTheNether-
lands’railwaysystemhadadirectinfluenceonitsfinancialand
operationalperformanceandthattheappropriatecombination
wascriticaltooveralloperationalperformance͑Swier2004͒.
However,neitheroftheseEuropeanstudiesprovideddatatosup-
portorquantifyitsconclusions.
Thesedevelopmentsleadtothequestion:doesrelianceon
renewal-basedmaintenancestrategyreduceunitmaintenance
cost?Presumablythetrendtowardrenewal-basedmaintenance
reflectsabeliefthatitismoreefficientoreffectiveinsome
r,quantitativeanalysesofdataevaluatingthis
ytical
methodisdevelopedtoevaluatethisissueusingacross-sectional
analysisofClassIrailroadfinancialandoperatingdatareported
totheAssociationofAmericanRailroads͑AAR1978–2002͒
underrulespromulgatedbytheSTB͑1995͒.
1.
Methodology
FinancialandoperatingdataforindividualClassIrailroadswere
modifiedtopermitstudyofthemaintenancecomponentsofthese
adfinancialstatementsdonotsegregatecapitalexpen-
dituresintorenewalsandadditions,andthereforeamethodwas
developedtoestimaterenewalcapitalexpendituressothattotal
maintenancecost,includingbothrenewal͑capitalexpense͒and
ordinarymaintenance͑operatingexpense͒,couldbecombinedto
eofconsolidationsin
theindustryduringthestudyperiod,railroadfinancialandoper-
atingdatawereconsolidatedtoreflectthe2001industrystructure.
Aseriesofstandardlinearregressionanalysesandjointhypoth-
esistestswereconductedtocompareseveralalternativemodels
regardingtheeffectonunitmaintenancecost,includingtheeffect
ofrenewalstrategy,railroadsize,percentageoflight-densitytrack
miles,walstrategyisasignifi-
cantandinfluentialvariableinthebestmodel,thehypothesiscan
beaccepted.
DataPreparation
AARfinancialdataforindividualClassIrailroadsweremodified
topermitstudyofthemaintenancecomponentsofthesedata.A
linearregressionanalysiswasperformedandstandardstatistical
ativehypothesesweretested,includ-
ingtheinfluenceofrailroadsize,averagedensity,andtheper-
centageoflight-densitytrackmiles.
InfrastructureCostIndex
Arailroadinfrastructurecostindexwasdevelopedfromcompo-
nentsoftheAARcostrecoveryindex͑AARRCR͒.Thiswas
termedthemaintenance-of-wayrailroadcostrecoveryindex
͑MOXRCR͒.TheAARRCRisbasedondataprovidedbyall
ClassIrailroads͑AAR1980–2002͒andconsistsof10compo-
nents,whicharethencombinedintofourgroups:͑1͒labor,͑2͒
fuel,͑3͒materialandsupplies,and͑4͒ationofthe
infrastructurecostindexconsideredthesecostgroupsasfollows:
Thelaborcostindex͑labor͒reflectschangesintheaverage
unitpriceofwagesandfringebenefiragewagefor
maintenance-of-wayemployeescomparedtoallrailroad
employeeshasremainedfairlyconstantovertheperiodof
study,andtheoveralllaborindexwasthereforeappropriate
foraninfrastructurecostindex.
lcostindex͑fuel͒wasnotincludedintheMOW
RCRbecausemaintenance-of-wayfuelexpenseisnot
separatelyidentifiedinfinancialreports,andasaresultthe
proportionoffuelcosttooverallcostcouldnotbecalculated.
Additionally,maintenance-of-wayequipmentisoftenfueled
directlyfromlocomotivedieselstoragetanksthatarenot
pensesrepresentarelatively
smallpercentageoftotalmaintenance-of-wayexpenditures,
andthisexclusionshouldnotaffecttheoverallresults.
erialandsuppliescostindex͑M&S͒measurescost
changesinagroupofitemsthatrepresentthepreponderance
dexcomponent
wasincludedintheMOWRCRbecauseM&Scostsarea
significantportionoftotalmaintenance-of-waycosts.
ercostindex͑other͒includesequipmentrents,
depreciation,purchasedservices,taxesotherthanincome
andpayroll,dexcomponent
wasincludedintheMOWRCRbecausethesecostsarea
substantialportionoftotalmaintenancecosts.
TheMOWRCRwasthendevelopedbymultiplyingeach
index͑labor,M&S,andother͒bytherelativeproportionofeach
componentoftotalmaintenance-of-wayexpenseforeachyear.
Thiscalculationisshownbelow
MOWRCR=͓͕R
L
͑M
L
/M
T
͖͒+͕R
M
͑M
M
/M
T
͖͒+͕R
O
͑M
O
/M
T
͖͔͒
whereR
L
ϭAARlaborindex;M
L
ϭClassIRRMOWlabor
expense;M
T
ϭClassIRRtotalMOWexpense;R
M
ϭAARM&S
costindex;M
M
ϭClassIRRMOWmaterialandsupplyexpense;
R
O
ϭAARothercostindex;andM
O
ϭClassIRRMOWother
expense.
Thisannualindexwasthencalibratedwith2001astherefer-
enceyear͑e.g.,2001indexϭ100%,1978indexϭ36.22%͒sothat
allexpensescouldbereferencedintermsofrelativelycurrent
nance-of-waynominalexpensesandinvestments
werethendividedbyeachyear’sindextoobtainconstant2001
dollars.
DefiningMaintenanceCostandRenewalStrategy
Grosstonmilesandtrackmilesarestandardunitsofmeasure-
onnageisthetotalweightofall
locomotives,railcars,andladingthatpassoveraparticularloca-
tion,andagrosstonmileis1grosstonmovingover1mileof
intenancecostwasdefinedastheunitcostofmain-
tainingtrack,thatis,ordinarymaintenanceexpensesplus
renewal-basedcapitalexpenditurespermilliongrosstonmiles
͑MGTM͒producedbyrailroads.
C
M
=͑E
O
+C
R
͒/Q
whereC
M
ϭunitmaintenancecost͑costperMGTM͒;
E
O
ϭordinarymaintenanceoperatingexpense;C
R
ϭrenewal
capitalexpenditures;andQϭmilliongrosstonmiles͑MGTM͒.
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J. Transp. Eng. 2006.132:601-608.
isonofRenewalStrategyandUnitMaintenanceCost
Renewalstrategy͑%͒
Road
US
UP
BNSF
CSX
NS
IC
KCS
SOO
GTW
1978–1982
19.3
23.1
20.9
16.3
20.9
19.2
21.5
11.5
15.2
1983–1987
44.5
48.2
44.7
41.5
40.2
46.0
44.7
21.5
20.7
1988–1992
41.9
47.4
34.8
40.8
44.2
58.2
48.9
35.4
24.0
1993–1997
49.6
55.5
54.3
40.6
43.0
74.5
54.2
36.5
26.4
1998–2002
52.8
62.6
62.7
40.2
38.1
69.1
53.5
41.7
50.9
1978–1982
5,803
4,885
4,966
6,349
5,167
7,330
6,659
7,228
7,747
Unitmaintenancecost͑s͒
1983–1987
4,737
4,537
3,982
4,815
5,529
3,520
4,329
4,730
5,115
1988–1992
3,499
3,140
2,908
3,376
5,011
2,118
4,543
3,985
5,159
1993–1997
2,662
2,153
2,565
2,547
3,522
2,341
4,079
4,221
4,217
1998–2002
2,217
1,969
1,875
2,589
3,270
2,053
2,639
3,255
2,698
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Renewalstrategywasdefinedasthepercentageofunitmain-
tenancecostthatwasallocatedtorenewalcapitalexpenditures.
RS=C
R
/͓͑E
O
+C
R
͒100͔
whereRSϭrenewalstrategy.
EstimatingRenewal-BasedCapitalExpenditures
Becauserailroadcostaccountingsystemsdonotitemizerenewal
capitalexpenditures,weusedamodificationoftheprocedure
developedbyIvaldiandMcCullough͑2001͒toestimatethese
aredtheannualpercentageoftiesandrail
laidinreplacementtracktothetotalamountoftiesandraillaid.
Railroadfinancialreportsdistinguishbetweentiesandrail“laidin
replacementtrack”versus“laidinadditionaltrack”fromAAR
reports͑lines344–372͒͑ARR1978–2002͒.Althoughtheannual
capitalprogramhasotheraspects,thelargestportionofcapitalis
forrailandties͑bothpurchaseandinstallation͒.Anadditional
stepwastakentodifferentiallyweightrailandtiepercentages
because,onaverage,capitalprogramsnormallyallocateaslightly
higherbudgetfortiesthanforrail.
Railroadfinancialdatasegregatecapitalinvestmentforroad
communications,roadsignalsandinterlocker,androadother,
assumedthatcapitalexpendituresforsignalsandcommunications
systemswereprimarilyfornewtechnologyandmajorsystem
upgrades,suchasreplacingextantwire-andrelay-basedsystems
withfiberoptic,wireless,anddigitaltechnologiesandwereap-
propriatelyclassifiedasadditions.
Renewalcapitalexpenditureswerecalculatedasfollows:
P
T
=T
E
/͑T
E
+T
N
͒
whereP
T
ϭpercentagerenewaltieprogram;T
E
ϭnumberofties
laidinexistingtrack;andT
N
ϭnumberoftieslaidinnewtrack.
P
R
=R
E
/͑R
E
+R
N
͒
whereP
R
ϭpercentagerenewalrailprogram;R
E
ϭtonsofraillaid
inexistingtrack;andR
N
ϭtonsofraillaidinnewtrack.
P=͓͑0.6P
T
͒+͑0.4P
R
͔͒
C
R
=C
O
·P
whereC
O
ϭroadcapitalother;andPϭoverallpercentrenewal.
RailroadGroupings
Thenumberofrailroadsreportingfinancialandoperatingdata
͑inR1standardformattotheAAR͒declinedfrom36in1978to
thisreductionoccurredthroughmergersand
combinations,althoughtherewerealsoseveralbankruptciesand
deletionsbychangesinClassIrailroaddefidualrail-
roaddatafrom1978through2002werecombinedintothe2001
r2002forGrandTrunkWesternand
theIllinoisCentralarenotincludedbecausetheseweremerged
withCanadianNationalRailway.
RenewalStrategyAsSingleIndependentVariable
Thestudyperiod͑1978–2002͒wasdividedinto5-yearincre-
mponent͑renewalcapital
expenditures,ordinarymaintenanceoperatingexpense,MGTM͒
el
testedwas
Model1:C
M
=a+bRS+
whereC
M
ϭunitmaintenancecost͑dollarsperMGTM͒;
aϭintercept;bϭcoefficientforRS;RSϭrenewalstrategy;and
ϭerrorterm.
Renewalstrategyandunit͑infrastructure͒maintenancecost
werecalculatedforeachrailroadovereachtimeperiod͑Table2͒.
DataforallClassIrailroadsintheUnitedStateswereaggregated
andlabeled͑U.S.͒.
Aseriesoflinearregressionswereconductedforeachtime
periodwithrenewalstrategyastheindependentvariableandunit
maintenancecostasthedependentvariable͑Model1͒.Theresults
indicatethattherewasasignificantrelationshiponlyforthelast
timeperiod,withanR
2
of0.78,apvalueof0.003,andF/F
c
of
3.62withF
c
calculatedata95%confidencelevel͑Table3͒.
Onlythelastperiod͑1998–2002͒hasanF-testresultindicat-
ingsignificance;italsohasthelowestpvalueandthestrongest
fluenceofRenewalStrategyonUnitMaintenanceCost
Period
1978–1982
1983–1987
1988–1992
1993–1997
1998–2002
R
2
0.49
0.23
0.28
0.42
0.78
F/F
c
0.97
0.30
0.39
0.72
3.62
p
0.052
0.227
0.178
0.083
0.003
a
10,134
5,637
6,056
5,105
4,706
b
−20,674
−2,777
−5,455
−3,945
−4,130
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r,theR
2
,Ftests,andpvaluessuggestatrend
towardthisrelationshipthroughthelate1980sand1990s.
Whywasthisrelationshipsignificantonlyinthelastperiod,
andwhatcouldaccountforthisapparenttrend?Althoughtrack
renewalsystemshavebeenemployedbyrailroadsformany
years,anumberofchangescouldexplainwhythisrelationship
wouldbestatisticallysignificantonlyinthemostrecentperiod:
ationshipwouldnothavebeenapparentintheperiod
priortodepreciationaccounting͑1978to1982͒becausea
largeportionofrenewalcostswereaccountedforasordinary
maintenanceoperatingexpenseduetoBettermentAccount-
ingrulesineffectduringthatperiod.
ryandinformationsystemsandplanningtechnology
havecontinuedtoimproveinrecentyears,increasingthe
relativeefficiencyofrenewal-basedmaintenanceinrelation
toordinarymaintenance.
tcostdifferencesbetweenordinaryandrenewal-
basedmaintenancemaynothavebeenstatisticallyapparent
untilreductionsinordinarymaintenancegangsweregradu-
allyrealizedtotheirpresentlevel.
singtraindensitiesmayhaveincreasedtherelative
1978
to1987,averagetraindensityincreasedbylessthan1%per
year;from1988to2001traindensityincreasedbyalmost
6%ionoflight-densitytrackthroughsaleor
abandonmentmayalsohavehadaneffectonthestatistical
relationships.
lroadswereconsolidatingtofewerandlarger
networks.
Plotsofthedatafromthelastthreeperiodsalongwiththeir
trendlinesareshowninFig.4.
AlternativeHypothesis:InfluenceofSize
Previousstudiesthatevaluatedtherelationshipbetweenoverall
tal.
͑1985͒foundslightlyincreasingreturnstoscalewhileBarbera
etal.͑1987͒andLeeandBaumol͑1987͒foundconstantreturns
uatethispossibilitywithrespecttoinfrastructure
maintenancecosts,astatisticaltestwasconductedcomparing
theoriginalmodeltooneincludinganewvariable,trackmiles
͑TM͒.Theresultsindicatethatwhilerailroadsizehadsignificant
effect͑pϭ0.05277͒,ithadfarlessinfluencethanrenewalstrategy
͑pϭ0.00164͒ultsofthejoint
hypothesistest͑pϭ0.02056;F/F
c
ϭ1.1589͒indicatethatthe
interactionbetweenthevariableswaspositive,meaningthat,in
combination,thesevariableswerebetteratpredictingunitmain-
ultssuggestthat
͑1͒a10%increaseintrackmilesfortheaveragerailroad͑equal
toanadditional2,091trackmilesin2001͒wouldresultina
reductionof$20perMGTMtotalmaintenancecost,and͑2͒an
increaseof10%inrenewalstrategywouldresultinareductionof
$398perMGTMtotalmaintenancecost,ora12to21%cost
reduction,rmore,the
resultssuggestthatthetrackmilevariablewassignificantonlyin
combinationwithrenewalstrategy͑atthe95%confidencelevel͒.
,
largerrailroadsmayhavebeenslightlymorecost-effective
intheirmaintenanceprogramsbecausetheycouldemployre-
uldhaveresultedfrom
moreproductiveuseofspecializedequipmentbyoptimizing
componentrenewalcyclesforanygivenpieceoftrack,using
equipmentonayear-roundbasis͑i.e.,workingsouthinwinter
onshipofrenewalstrategyandunitmaintenancecost
͑2001dollars͒:͑a͒1988–1992;͑b͒1993–1997;and͑c͒1998–2002
andnorthinsummer͒,and/orhavingmoreoptionstodetour
traffic,therebypermittinglongertrackpossessionwindows.A
secondexplanationforthiseffectisthataquasi-fixedoverhead
͑engineering͒costmayhavebeenassociatedwithmaintaining
infrastructureregardlessofrailroadsize.
AlternativeHypothesis:InfluenceofLightDensity
TrackMiles
Anotherhypothesisisthatlight-densitylinesareresponsible
forthevariationinunitmaintenancecostsbetweenrailroads.
ClassIrailroadshavereducedthenumberoflow-densityroutes
throughsale,abandonment,orleaseinordertoreducethe
rofstudiesfound
economiesofdensityforrailroads͑Braeutigametal.1984;Caves
etal.1987;Barberaetal.1987;LeeandBaumol1987;Dooley
etal.1991͒,butdifferedastothesignificanceofthedensity
ghthesestudiesconsideredoverallrailroadoperat-
ingandmaintenancecosts,weconsideredwhetheradensityef-
fectmightbeapplicabletoinfrastructurecostsseparateandapart
oryisthateachtrackmilehas
JOURNALOFTRANSPORTATIONENGINEERING©ASCE/AUGUST2006/605
J. Transp. Eng. 2006.132:601-608.
isonofOrdinaryMaintenanceExpenseandRenewalCapitalExpendituresperMillionGrossTonMiles͑MGTM͒
OrdinarymaintenanceexpenseperMGTM
Road1978–19821983–19871988–19921993–1997
1,346
958
1,181
1,515
2,007
606
1,859
2,686
3,111
1998–2002
1,046
738
703
1,548
2,018
631
1,239
1,897
1,322
1978–1982
882
841
823
841
851
1,206
1,163
756
912
RenewalcapitalexpendituresperMGTM
1983–1987
2,105
2,181
1,784
1,996
2,214
1,605
1,940
1,021
1,066
1988–1992
1,466
1,488
1,010
1,379
2,213
1,229
2,208
1,401
1,240
1993–1997
1,316
1,195
1,384
1,033
1,515
1,735
2,220
1,536
1,106
1998–2002
1,171
1,231
1,172
1,041
1,251
1,422
1,400
1,359
1,377
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US4,9212,6332,033
UP4,0442,3561,653
BNSF4,1432,1991,898
CSX5,5082,8191,997
NS4,3163,3152,798
IC6,1251,915889
KCS5,4962,3892,334
SOO6,4723,7092,584
GTW6,8344,0493,919
Note:MGTMaregivenin2001constantdollars.
aquasi-fixedcostassociatedwithitthatincludesamaintenance-
relatedcomponent,andthoseroadsthatwereabletoshedmoreof
theselow-densitylinesmayhavehadaninherentmaintenance
costadvantage.
Toevaluatethispossibility,astatisticaltestwasconducted
comparingtheoriginalmodeltooneincludinganewvariable,the
percentageoflight-densitytrackmiles͑D
L
͒.Light-densitytrack
wasdefined,forthesepurposes,astrackwithlessthan10million
grosston-milespermileperyearandwasbasedonBureauof
TransportationStatisticsdatafrom2000͑USDOT2001͒.
Resultsfromthejointhypothesistest͑pϭ0.2926;
F/F
c
ϭ0.25444͒indicatethattheinclusionofavariableforlight-
densitytrackmilesdidnotimprovetheoriginalmodel͑Model1͒,
andthisnewmodelwasrejected.
AlternativeHypothesis:InfluenceofAverageDensity
Weconsideredathirdalternativehypothesisthataveragetraffic
densityisresponsibleforthevariationinunitmaintenancecosts
rtothehypothesispresentedinthepre-
vioussection,thishypothesisisrelatedtothetheorythateach
trackmilehasaquasi-fiuatethis
possibility,astatisticaltestwasconductedcomparingtheoriginal
modeltooneincludinganewvariable,averagedensityasmea-
suredinMGTMperClassIrailroadtrackmile͑line343,AAR
reports͒.
Resultsofthejointhypothesistest͑pϭ0.29891;
F/F
c
ϭ0.25015͒indicatethattheaveragedensityvariable͑D
A
͒
didnotimprovetheoriginalmodel,andthisnewmodelwas
rejected.
CombiningStrategy,Size,andDensityVariables
Afinaltestwasconductedcombiningrenewalstrategy,average
density,softhejointhypothesistest͑pϭ0.10961;
F/F
c
ϭ0.46501͒indicatethatthiscombinationofvariablesdid
notimprovetheoriginalmodel͑Model1͒,andthisnewmodel
wasrejected.
Discussion
Theseresultsindicatethatmostofthevariationinunitmainte-
nancecostsamongClassIrailroadscanlargelybeexplainedby
variationinthedegreetowhichtheyemphasizerenewalandde-
emphasizeordinarymaintenanceintheirengineeringstrategies.
Whyisarenewalmaintenancestrategycost-effective?Asprevi-
ouslydescribed,largemechanizedtrackgangsaremoreproduc-
tive,notonlyintermsoflaborandmaterials,butalsowithuseof
orkisbetterplannedand
executedduetoengineeringmanagementsystemsandcanbe
programmedinadvancesothattrafficpatternscanbeadjustedto
providelongtrackpossessionwindowsthatmaximizeresource
productivity.
Italsoappearsthatanemphasisonreducingordinarymainte-
rymaintenanceexpensewas
comparedtorenewalcapitalexpenditures͑perMGTM͒forthe
fourtimeperiodsbetween1982and2002foreachrailroad͑Table
4͒.Somerailroadsmadegreaterreductionsinordinarymainte-
hanaveragedensityandsystem
size,noobviouscharacteristicsappearedtoofferasatisfactory
alternativeexplanationforoverallunitmaintenancecostother
ghtherewassomeappearanceofan
east–westgeographiceffectforthelargeroads,resultsforsmaller
roadswerenotconsistentwiththis,andwearenotawareofany
apriorireasonforsuchaneffect.
Thisanalysisnecessarilymadethesuppositionthatrail
infrastructurequalityforeachroadovereachtimehorizonwas
ederalRailroadAssociation
guidelines,trackconditionscanonlyvarywithinapredetermined
etal.͑2003͒and
AndersonandBarkan͑2004͒foundthatthesafetyrecordof
theserailroadsimprovedoverthistimeperiod,whichwouldbe
increasingrelianceonrenewalmaintenancemayindicatethat
lysisalsomakes
thesuppositionthatrailroadsuserelativelysimilaraccounting
methodsandthatanydifferencesarerelativelyminoranddonot
affecttheoverallresultsoftheanalysis.
Althoughadistinctionwasmadebetweencostsforcapacity
expansionandmaintenance,capacityandunitmaintenancecost
ndensitiesincrease,track
possessionsformaintenancemaybecomelimitedindurationand
frequencybecausetrackgangsmustcompetewithtrainsfortrack
uently,capacitylimitationsincreaseunitcostbe-
causeofthemorefrequentneedforgangstogetonandofftrack.
Capacityexpansionmaythushaveasecondaryeffectofdecreas-
ingunitmaintenancecost.
rtant
considerationforanyrailroadistheeffectthatdifferentmainte-
nancestrategieshaveontransportationcostsandservicequality.
Initialtestswereinconclusiveinregardtotransportationcost,
probablybecauseofmoreinfluentialeffectsoffactorsnotrelated
606/JOURNALOFTRANSPORTATIONENGINEERING©ASCE/AUGUST2006
J. Transp. Eng. 2006.132:601-608.
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tomaintenance,forexample,reductionofcrewsize,changes
intransportationlaborworkrules,improvementsinmotive
power,andfueleffiequalityfactors,suchascoor-
dinationofmaintenancewindowswithcustomercommitments,
werenottested,andtheserelationshipsaresuggestedforfuture
investigation.
Thisanalysisisonlyvalidfortherangeofdatapresented.
Extendingitbeyondthelimitsofdemonstratedvaluesmaylead
ionedpreviously,a100%
renewalstrategyisneitherattainablenordesirablebasedoncur-
analysisisintendedforusebyrailroadengineeringprofessionals
asonetool͑ofmany͒inthedeterminationoftheappropriate
balancebetweenordinaryandrenewalmaintenanceoptions.
Twofinalquestionsareproposedforfurtherresearchanddis-
,whatarethereallimitsofcostefficienciesgener-
atedbyrenewalstrategies?IfUP,BNSF,andICcanachieve
renewallevelsinthe60%range,wouldafurthershiftfromop-
eratingexpensetorenewalinvestmentresultinevenlowerunit
cost?Second,whatbarriersexistforotherrailroads,suchasCSX,
NS,andSOO,fromgainingtheapparentbenefitsofshiftingmore
ordinarymaintenancetorenewalregimes?Couldthesebarriersbe
technical͑i.e.,infrastructurecharacteristics͒,financial͑i.e.,tight
capitalbudgets͒,philosophical͑i.e.,safety,management͒,opera-
tional͑i.e.,traindensities͒,oracombination?
Conclusions
Theresultsareconsistentwiththehypothesisthatanemphasison
renewalprogramsfortrackmaintenancewascost-effectivefrom
anengineeringviewpointandprovideanexplanationforwhy
railroadshaveconsistentlyincreasedtheiruseofrenewalmainte-
onally,apparent
differencesinunitmaintenancecostscanbelargelyexplainedby
thedegreetowhichindividualfirmsapplyrenewalstrategies.
Thesefindingshaveimportantimplicationsforrailroadfinan-
1998,railroadshavebecomemoreconserva-
tivewithcapitalspendingasinvestorshavebecomeincreasingly
skepticalabouttheindustry’sfinancialcompetitiveness͑Flower
2003a,b;Gallagher2004;Hatch2004͒.Recallingthatrenewal
capitalexpenditurescomprisethelargestshareofoverallcapital
spending,ifrailroadsundulyconstrainrenewalmaintenanceinan
efforttoconservecapitalresources,theywillfindthatordinary
maintenanceexpenseswillrisedisproportionatelyinrelationto
suchtradeoffsmay
improvefreecashflowtemporarily,buttheeffectwillonlybe
shortlivedasoverallmaintenancecosteventuallyincreases.
Acknowledgments
lson,entryandthe
reviewersforhelpfuladviceandinputonthisresearch.
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