All Related Words To subway train

Item: [ subway train ]   439 related items to "subway train"

>>subway train define    >>Words to describe subway train

Related wordweight/scoreRelated wordweight/score
tram11.726730296577bus9.3837295879584
tunnel6.6332790953063monorail4.786619064509
london underground3.3new york city subway2.9
shanghai metro2.9commuter rail2.9
beijing subway2.9paris métro2.9
montreal metro2.9moscow metro2.9
right-of-way2.7maglev2.6563280425626
glasgow subway2.5tokyo subway2.5
mexico city metro2.5commuter2.3393236535186
trolleybus2.2880981157171passenger2.2527938899397
rail2.2482844772562taxi2.2337040535427
metro2.2274420309479railroad train2.2266461538462
station2.2140765876704transit2.2138886309012
ferry2.1590638954928city2.1136729050124
trolley2.0761671023785railway2.0748283106543
intercity2.0538811381857pedestrian2.038360736593
amtrak2.0257089205718line1.9409663226788
chicago1.6225936599424public transport1.62
mtr1.598674351585metrorail1.5810951008646
elevated railway1.5646685878963escalator1.5263846153846
interurban1.5256615384615transit authority1.5231700288184
metropolitan railway1.5162536023055irt ninth avenue line1.5024207492795
suburb1.491181556196seoul metropolitan subway1.4540057636888
guangzhou metro1.4263400576369premetro1.3980979827089
metropolitan area1.3295100864553road1.3263634028834
derailment1.3219310259635fire1.3137556766797
chicago "l"1.3018443804035washington metro1.2949279538905
los angeles metro rail1.2880115273775topology1.2491066282421
taipei metro1.2105475504323safety1.1877809798271
urban agglomeration1.1289337175793milan metro1.0597694524496
prague metro1.0390201729107mtr corporation0.95602305475504
china0.74524495677233bay area rapid transit0.73469740634006
stockholm metro0.72778097982709train0.7
viaduct0.69913544668588scotland0.68760806916427
metra0.67031700288184budapest metro0.64478386167147
budapest0.63861671469741lisbon metro0.6378674351585
trains0.63494937665621são paulo metro0.6171181556196
sydney0.61556195965418melbourne0.61268011527378
saint petersburg metro0.61020172910663europe0.60979827089337
asia0.60691642651297tashkent metro0.60328530259366
frequency0.58962536023055buses0.58345493147864
subways0.56528793520631subway0.56340769230769
streetcar0.56334615384615tramway0.56323846153846
railroad0.5632underpass0.56309230769231
transportation0.56303076923077tramcar0.56299230769231
shinkansen0.56296153846154ridership0.56283846153846
taxicab0.56280769230769eurostar0.56275384615385
railcar0.5627busway0.56268461538462
terminus0.56267692307692cabby0.56266923076923
brt0.56265384615385kiev metro0.56178674351585
commuters0.5605137812952traffic0.55425267424002
car0.54802780328677sapporo municipal subway0.54795389048991
stops0.53992449386703headway0.53198847262248
truck0.52783307069691tram-train0.52708933717579
passengers0.51809868033091minibus0.51738215569347
busy0.51483352944968traveling0.50719804197553
connecting0.50446746797872freight0.50084331725716
downtown0.50074158011233terminal0.49900844143022
airport0.49850356622688cars0.4978413026475
vehicle0.49751540224424exploded0.49716723978766
urban area0.4971181556196bomb0.49685450285821
travelling0.49667148699373crowded0.49481996582384
taxis0.49373941040663ramp0.49367160174772
bound0.49094796537194stop0.48877539375423
electric railway0.48847262247839bicycle0.48724113207556
outside0.48713659160048route0.48407693264855
derailed0.48335184401203grade separation0.48270893371758
northbound0.48120140649492parked0.48033522896985
parking0.47896327697523madrid metro0.47878962536023
stations0.47840801020511airplane0.47680200350144
cab0.47470366461839gate0.4744793775593
rapid transit station0.47406340057637carrying0.47370958475901
routes0.47320707961446electric multiple unit0.47118155619597
near0.46926030867451southbound0.46907946914357
flight0.46872491528751explosion0.46869570579375
rail track0.46829971181556speeding0.46812816174159
nearby0.46522084760065lines0.46518203449393
blast0.46438120452589jammed0.46415090646927
operated0.46400583160247opened0.46332384200702
telpherage0.46329230769231antibusing0.46327692307692
telpher0.46326923076923straphanger0.46316153846154
embus0.46311538461538viatecture0.46302307692308
pedestrianize0.46301538461538vetturino0.46298461538462
autobus0.46297692307692platelayer0.46292307692308
elevator0.46291555134156stational0.46289230769231
baggageman0.4628transportment0.46278461538462
horsecar0.46276153846154tarantass0.46273076923077
stathmograph0.46269230769231shut0.46244027102977
crossing0.46227671650431main0.46198722221133
highway0.46095870283963ride0.46061842600619
entering0.45922936833507accident0.45758679694118
vehicles0.45693926315445exiting0.456598013764
motorists0.45634448951473plane0.45549868661365
trucks0.45513067086356underground0.45484052799333
collided0.45447424069434boat0.45430734857767
nearest0.45423909002002bridge0.45389806875885
exits0.45286655935962shopping0.45246559457182
boarding0.45244561530155stopping0.45235885659011
driving0.45178210548895suicide0.45139573556623
septa0.45129682997118streets0.450986586628
heading0.45092458216838checkpoint0.45013654067717
steam engine0.44812680115274network length0.44236311239193
berlin u-bahn0.43037463976945chongqing rail transit0.42345821325648
paris metro0.41066282420749central business district0.40489913544669
carmelit0.40028818443804england, wales and scotland0.39625360230548
pedestrian underpass0.39337175792507tyne and wear metro0.39048991354467
north america0.38184438040346high-speed0.37209368166402
pneumatic railway0.35014409221902skytrain0.34755043227666
city & south london railway0.34726224783862liverpool overhead railway0.34149855907781
urban sprawl0.31844380403458latin america0.30403458213256
urban rail transit in china0.30115273775216copenhagen metro0.26945244956772
brand0.26685878962536oslo metro0.26368876080692
underground railway0.2634trolley car0.26339230769231
commuter train0.26336923076923taxi stand0.26336153846154
subway station0.26335384615385transportation system0.26333846153846
rail technology0.26330769230769bus terminal0.26328461538462
cable railway0.26326153846154railroad car0.26324615384615
pedestrian traffic0.26323076923077railroad station0.26321538461538
railway line0.26318461538462freight car0.26317692307692
bus depot0.26316923076923permanent way0.26315384615385
train ticket0.26314615384615airport terminal0.2631
air terminal0.26308461538462hansom cab0.26307692307692
rapid transit0.26305384615385magnetic levitation0.26304615384615
bedroom community0.26303846153846ticket booth0.26300769230769
safety island0.263service area0.26296923076923
street corner0.26295384615385business district0.26293846153846
control tower0.26293076923077subway token0.26291538461538
platform ticket0.26290769230769cattle car0.2629
rush hour0.26288461538462flag stop0.26287692307692
coin slot0.26286153846154road hog0.26285384615385
railroad track0.26284615384615toll collector0.26282307692308
refrigerator car0.26281538461538yellow line0.26279230769231
railroad tie0.26277692307692hackney carriage0.26276923076923
wheel around0.26273846153846rest area0.26272307692308
pavement artist0.26270769230769surface mail0.26266153846154
transit line0.26264615384615schematic0.25533141210375
diagram0.25244956772334chicago 'l'0.2492795389049
downtown chicago0.2463976945245koltsevaya line0.24063400576369
line 10, beijing subway0.23487031700288seated to standing ratio0.22910662824207
communications-based train control0.22622478386167internet0.2207492795389
algiers metro0.21469740634006almaty metro0.21181556195965
baltimore metro subway0.20893371757925red line0.20605187319885
gwangju metro0.20317002881844helsinki metro0.19740634005764
astram line0.19452449567723kazan metro0.19164265129683
security0.18616714697406mumbai metro0.18587896253602
panama metro0.18299711815562xiamen metro0.18011527377522
yekaterinburg metro0.17723342939481metropolitan atlanta rapid transit authority0.17435158501441
namma metro0.17146974063401conductor0.16887608069164
esfahan metro0.1685878962536incheon metro0.1657060518732
kaohsiung mass rapid transit0.1628242074928railway platform height0.16063400576369
terrorism0.16023054755043kyoto municipal subway0.15994236311239
minsk metro0.15706051873199nizhny novgorod metro0.15417867435159
platform screen doors0.15371757925072rome metro0.14841498559078
color-coding0.14668587896254sendai subway0.14553314121037
warsaw metro0.14265129682997zhengzhou metro0.13976945244957
amsterdam metro0.13688760806916brussels metro0.13400576368876
thessaloniki metro0.12536023054755cairo metro0.12247838616715
chennai metro0.11959654178674lille metro0.11671469740634
marseille metro0.11383285302594nuremberg u-bahn0.10806916426513
qingdao metro0.10518731988473toronto subway0.10230547550432
accessibility0.10097982708934secant line0.099423631123919
athens metro0.096541786743516munich u-bahn0.087896253602305
bedrock0.085302593659942pickpocketing0.080403458213256
miami0.079538904899135mbta subway0.073487031700288
buenos aires metro0.067723342939481daegu metro0.061959654178674
7/70.054466858789625skyway0.050720461095101
tehran metro0.050432276657061dc metro0.044668587896254
bucharest metro0.036023054755043chengdu metro0.03314121037464
copenhagen s-train0.030259365994236manila metro0.021613832853026
mass rapid transit0.010086455331412crossrail0
cleanliness0architecture0
advertising0motorway0
california0subsidy0
stadtbahn0lighting0
bart0delhi metro-0.0014409221902018
cut-and-cover-0.0089337175792507nanjing metro-0.015850144092219
osaka metro-0.021613832853026shenzhen metro-0.027377521613833
corporate image-0.036023054755043transit map-0.038904899135447
topological map-0.04178674351585railway platform-0.056195965417867
public transport timetable-0.059077809798271interchange station-0.061959654178674
arsenalna-0.06657060518732alphanumeric code-0.067723342939481
singapore mrt-0.070605187319885changi airport mrt station-0.073487031700288
traffic congestion-0.074524495677233raffles place mrt station-0.076368876080692
cell phone-0.082132564841499general transit feed specification-0.085014409221902
head-on collision-0.093659942363112rear-end collision-0.096541786743516
s-bahn-0.1street-running-0.1
s-train-0.1metrosur-0.1
king's cross fire-0.10518731988473petty crime-0.11671469740634
violent crime-0.12247838616715video surveillance-0.12536023054755
security guard-0.12824207492795transit police-0.13400576368876
tokyo subway sarin gas attack-0.14265129682997electric multiple units-0.14841498559078
third rail-0.15129682997118overhead wires-0.15417867435158
fourth rail-0.15706051873199linear motor-0.15994236311239
rubber-tyred metro-0.1628242074928medium-capacity rail transport system-0.18587896253602
loading gauge-0.18876080691643feeder line-0.19164265129683
wenhu line-0.19452449567723tunnel-boring machine-0.21181556195965
vancouver skytrain-0.22334293948127docklands light railway-0.22622478386167
miami metrorail-0.22910662824207bangkok skytrain-0.23198847262248
transport hub-0.23487031700288island platform-0.23775216138329
side platform-0.24063400576369underground city-0.2463976945245
park and ride-0.2521613832853platform gap-0.26080691642651
kiev, ukraine-0.26945244956772soviet union-0.27233429394813
naples metro-0.29538904899135los angeles county metropolitan transportation authority-0.29827089337176
seoul subway line 7-0.3réseau express régional-0.3
berlin s-bahn-0.3commuter rail in australia-0.3
chennai suburban railway-0.3east japan railway company-0.3
dubai metro-0.3light rail-0.3
federal district-0.3brasília metro-0.3
washington, d.c.-0.3capital cost-0.3
cost overrun-0.3public financing-0.3
road transport-0.3rapid rail-0.3
land value-0.3transit oriented development-0.3
population density-0.3fixed cost-0.3
public service obligation-0.3transport association-0.3
free transfer-0.3transit fare-0.3
guangfo metro-0.3los teques metro-0.3
farebox recovery ratio-0.3taipei rapid transit system-0.3
soft loan-0.3loan servicing-0.3
real estate-0.3value capture-0.3
london overground-0.3

Words describe subway train

WordScoreWordScore
next10onrushing7
vast, onrushing7vast7
old-fashioned5oncoming5
runaway4antique2
supersonic2invisible1
emergent1empty1
imaginary1full1
electric1

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