Results on different datasets

Our running code and detailed parameter settings can be found in Experiment Setting.

Results on Bike

Dataset Statistics

AttributesNew York CityChicagoDC
Time span2013.03-2017.092013.07-2017.092013.07-2017.09
Number of riding records49,100,69413,130,96913,763,675
Number of stations820585532

Following shows a map-visualization of bike stations in NYC.

NYC

Experiment Results

 NYCChicagoDC
HM3.992242.976932.63165
ARIMA(C)5.609283.835843.60450
XGBoost4.124072.925692.65671
GBRT3.999072.842572.61768
ST_MGCN (G/DCI)3.723802.883002.48560
DCRNN(G/D C)4.186663.277593.08616
LSTM (C)4.556773.370042.91518
STMeta-V13.504752.655112.42582
STMeta-V23.438702.663792.41111
STMeta-V33.478342.661802.38844

 

Results on DiDi

Dataset Statistics

AttributesXi'anChengdu
Time span2016.10-2016.112016.10-2016.11
Number of riding records5,922,9618,439,537
Number of stations256256

Following shows a map-visualization of 256 grid-based ride-sharing stations in Chengdu.

Experiment Results

 Xi’anChengdu
HM6.186237.35477
ARIMA(C)9.4747812.52656
XGBoost6.733467.73836
GBRT6.446397.58831
ST-ResNet6.084767.14638
ST_MGCN (G/DCI)5.874567.03217
DCRNN(G/D C)8.2025411.50550
LSTM (C)7.3997010.11386
STMeta-V1 (G/DCI)5.891547.06246
STMeta-V2(G/DCI)5.755967.09710
STMeta-V3(G/DCI)5.955077.04358

Results on Metro

Dataset Statistics

AttributesChongqingShanghai
Time span2016.08-2017.072016.07-2016.09
Number of riding records409,277,117333,149,034
Number of stations113288

Following shows a map-visualization of 288 metro stations in Shanghai.

Experiment Results

 ChongqingShanghai
HM120.30723197.97092
ARIMA(C)578.18563792.1597
XGBoost117.05069185.00447
GBRT113.92276186.74502
ST_MGCN (G/DCI)118.86668181.55171
DCRNN(G/D C)122.31121326.97357
LSTM (C)196.175732368.8468
STMeta-V1 (G/DCI)92.74990151.11746
STMeta-V2(G/DCI)98.86152158.21953
STMeta-V3(G/DCI)101.7806156.58867

The period and trend features are more obvious in Metro dataset, so the performance is poor if only use closeness feature.

Results on Charge-Station

Dataset Statistics

AttributesBeijing
Time span2018.03-2018.08
Number of riding records1,272,961
Number of stations629

Following shows a map-visualization of 629 EV charging stations in Beijing.

Experiment Results

 Beijing
HM1.01610
ARIMA(C)0.98236
XGBoost0.83381
GBRT0.82814
ST_MGCN (G/DC)0.82714
DCRNN(G/D C)0.98871
LSTM (C)1.58560
STMeta-V1 (G/DC)0.815518
STMeta-V2(G/DC)0.82144
STMeta-V3(G/DC)0.81541