Datasets:
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datetime timestamp[ns] | STATION_ID int64 | od_out_cnt int64 | od_in_cnt int64 | od_net_cnt int64 |
|---|---|---|---|---|
2017-01-07T00:00:00 | 150 | 244 | 164 | -80 |
2017-01-07T00:00:00 | 151 | 51 | 8 | -43 |
2017-01-07T00:00:00 | 152 | 284 | 37 | -247 |
2017-01-07T00:00:00 | 153 | 176 | 54 | -122 |
2017-01-07T00:00:00 | 154 | 52 | 22 | -30 |
2017-01-07T00:00:00 | 155 | 53 | 76 | 23 |
2017-01-07T00:00:00 | 156 | 17 | 23 | 6 |
2017-01-07T00:00:00 | 157 | 7 | 22 | 15 |
2017-01-07T00:00:00 | 158 | 21 | 101 | 80 |
2017-01-07T00:00:00 | 159 | 14 | 56 | 42 |
2017-01-07T00:00:00 | 201 | 90 | 39 | -51 |
2017-01-07T00:00:00 | 202 | 305 | 51 | -254 |
2017-01-07T00:00:00 | 203 | 104 | 27 | -77 |
2017-01-07T00:00:00 | 204 | 37 | 27 | -10 |
2017-01-07T00:00:00 | 205 | 163 | 87 | -76 |
2017-01-07T00:00:00 | 206 | 51 | 106 | 55 |
2017-01-07T00:00:00 | 207 | 29 | 87 | 58 |
2017-01-07T00:00:00 | 208 | 181 | 168 | -13 |
2017-01-07T00:00:00 | 209 | 38 | 32 | -6 |
2017-01-07T00:00:00 | 210 | 45 | 74 | 29 |
2017-01-07T00:00:00 | 211 | 92 | 177 | 85 |
2017-01-07T00:00:00 | 212 | 722 | 339 | -383 |
2017-01-07T00:00:00 | 213 | 75 | 187 | 112 |
2017-01-07T00:00:00 | 214 | 107 | 242 | 135 |
2017-01-07T00:00:00 | 215 | 34 | 115 | 81 |
2017-01-07T00:00:00 | 216 | 281 | 348 | 67 |
2017-01-07T00:00:00 | 217 | 202 | 171 | -31 |
2017-01-07T00:00:00 | 218 | 43 | 65 | 22 |
2017-01-07T00:00:00 | 219 | 183 | 125 | -58 |
2017-01-07T00:00:00 | 220 | 264 | 174 | -90 |
2017-01-07T00:00:00 | 221 | 234 | 87 | -147 |
2017-01-07T00:00:00 | 222 | 1,567 | 278 | -1,289 |
2017-01-07T00:00:00 | 223 | 256 | 104 | -152 |
2017-01-07T00:00:00 | 224 | 62 | 42 | -20 |
2017-01-07T00:00:00 | 225 | 77 | 141 | 64 |
2017-01-07T00:00:00 | 226 | 519 | 416 | -103 |
2017-01-07T00:00:00 | 227 | 79 | 286 | 207 |
2017-01-07T00:00:00 | 228 | 236 | 516 | 280 |
2017-01-07T00:00:00 | 229 | 51 | 174 | 123 |
2017-01-07T00:00:00 | 230 | 347 | 753 | 406 |
2017-01-07T00:00:00 | 231 | 38 | 197 | 159 |
2017-01-07T00:00:00 | 232 | 260 | 371 | 111 |
2017-01-07T00:00:00 | 233 | 88 | 172 | 84 |
2017-01-07T00:00:00 | 234 | 219 | 641 | 422 |
2017-01-07T00:00:00 | 235 | 66 | 101 | 35 |
2017-01-07T00:00:00 | 236 | 96 | 126 | 30 |
2017-01-07T00:00:00 | 237 | 93 | 195 | 102 |
2017-01-07T00:00:00 | 238 | 455 | 191 | -264 |
2017-01-07T00:00:00 | 239 | 1,109 | 442 | -667 |
2017-01-07T00:00:00 | 240 | 598 | 211 | -387 |
2017-01-07T00:00:00 | 241 | 50 | 73 | 23 |
2017-01-07T00:00:00 | 242 | 11 | 94 | 83 |
2017-01-07T00:00:00 | 243 | 19 | 70 | 51 |
2017-01-07T00:00:00 | 244 | 3 | 20 | 17 |
2017-01-07T00:00:00 | 245 | 1 | 15 | 14 |
2017-01-07T00:00:00 | 246 | 0 | 10 | 10 |
2017-01-07T00:00:00 | 247 | 1 | 6 | 5 |
2017-01-07T00:00:00 | 248 | 8 | 40 | 32 |
2017-01-07T00:00:00 | 249 | 10 | 47 | 37 |
2017-01-07T00:00:00 | 250 | 1 | 10 | 9 |
2017-01-07T00:00:00 | 309 | 0 | 3 | 3 |
2017-01-07T00:00:00 | 310 | 12 | 120 | 108 |
2017-01-07T00:00:00 | 311 | 113 | 214 | 101 |
2017-01-07T00:00:00 | 312 | 34 | 105 | 71 |
2017-01-07T00:00:00 | 313 | 12 | 50 | 38 |
2017-01-07T00:00:00 | 314 | 18 | 67 | 49 |
2017-01-07T00:00:00 | 315 | 3 | 26 | 23 |
2017-01-07T00:00:00 | 316 | 10 | 56 | 46 |
2017-01-07T00:00:00 | 317 | 71 | 37 | -34 |
2017-01-07T00:00:00 | 318 | 65 | 21 | -44 |
2017-01-07T00:00:00 | 319 | 23 | 11 | -12 |
2017-01-07T00:00:00 | 320 | 47 | 12 | -35 |
2017-01-07T00:00:00 | 322 | 39 | 25 | -14 |
2017-01-07T00:00:00 | 323 | 66 | 87 | 21 |
2017-01-07T00:00:00 | 324 | 14 | 54 | 40 |
2017-01-07T00:00:00 | 325 | 15 | 45 | 30 |
2017-01-07T00:00:00 | 326 | 141 | 63 | -78 |
2017-01-07T00:00:00 | 327 | 248 | 86 | -162 |
2017-01-07T00:00:00 | 328 | 2 | 29 | 27 |
2017-01-07T00:00:00 | 329 | 189 | 69 | -120 |
2017-01-07T00:00:00 | 330 | 96 | 16 | -80 |
2017-01-07T00:00:00 | 331 | 87 | 52 | -35 |
2017-01-07T00:00:00 | 332 | 142 | 93 | -49 |
2017-01-07T00:00:00 | 333 | 21 | 33 | 12 |
2017-01-07T00:00:00 | 334 | 9 | 50 | 41 |
2017-01-07T00:00:00 | 335 | 21 | 43 | 22 |
2017-01-07T00:00:00 | 336 | 5 | 10 | 5 |
2017-01-07T00:00:00 | 337 | 17 | 53 | 36 |
2017-01-07T00:00:00 | 338 | 16 | 29 | 13 |
2017-01-07T00:00:00 | 339 | 34 | 80 | 46 |
2017-01-07T00:00:00 | 340 | 36 | 28 | -8 |
2017-01-07T00:00:00 | 341 | 15 | 18 | 3 |
2017-01-07T00:00:00 | 342 | 7 | 30 | 23 |
2017-01-07T00:00:00 | 409 | 20 | 92 | 72 |
2017-01-07T00:00:00 | 410 | 34 | 138 | 104 |
2017-01-07T00:00:00 | 411 | 159 | 178 | 19 |
2017-01-07T00:00:00 | 412 | 54 | 156 | 102 |
2017-01-07T00:00:00 | 413 | 45 | 162 | 117 |
2017-01-07T00:00:00 | 414 | 112 | 204 | 92 |
2017-01-07T00:00:00 | 415 | 36 | 51 | 15 |
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subway_od
This dataset contains subway origin-destination records for the Seoul metropolitan transit system.
It supports analysis of station-to-station movement flows and spatial mobility structures.
Dataset Description
Each record represents aggregated subway travel demand between an origin station and a destination station.
The dataset can be used to construct OD matrices, analyze inter-station connectivity, and compare subway flows with cell-based population mobility data.
Number of Elements
- Number of files: add your actual number here
- Number of rows: add your actual total row count here
- Unit of observation: origin station × destination station × date
Main Columns
- origin_station_id: Origin subway station identifier
- destination_station_id: Destination subway station identifier
- origin_station_name: Origin station name
- destination_station_name: Destination station name
- line_name: Subway line information
- date: Observation date
- passenger_count: Aggregated passenger flow
Intended Use
This dataset is intended for OD matrix construction, subway flow analysis, and urban transportation demand modeling.
License
This dataset is derived from public/authorized transportation data.
Users must comply with the original data provider’s usage policy.
ㄹ사용하시려겨든 thdud041113@g.skku.edu로 메일로 허가 얻으시고 사용해주세요 If you would like to use it, please obtain permission by email at thdud041113@g.skku.edu before using it.
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