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Introduction to China’s inter-provincial railway travel time data

 This data comes from the appendix of the "Research Report on Inter-Provincial Railway Transport under the National Unified Market" by the Yangtze River Institute of Industrial Economics of Nanjing University. China's railway (high-speed rail) construction has achieved brilliant results. However, academic and policy researchers have been unable to accurately estimate the time-saving effect of railway construction due to the limitations of the large number of railway schedules and the difficulty in collecting and sorting historical data. For this purpose, the research report team collected data from the "China Railway Passenger Train Timetable" over the years, and through traceability analysis of train grades and railway operation history, obtained the even-numbered years between 2012 and 2022. capital), in order to reflect the achievements of China's railway construction from a time perspective.

 CnOpenData has obtained permission from the person in charge of the research report to include the data in the public data area so that scholars can browse and read it.

  Please jump to Nanjing University Yangtze River Institute of Industrial Economics to view the original data. , please download data from this website.

Time interval

Railway operation time matrix between provincial capital cities in China (unit: minutes): 2012, 2014, 2016, 2018, 2020, 2022
Matrix of the number of through trains between provincial capital cities in China: 2012, 2014, 2016, 2018, 2020, 2022

Data description

China's inter-provincial railway transit time data comes from the appendix of the "Research Report on Inter-Provincial Railway Traffic under the National Unified Market". In the main text of the report, indicators that can reflect the level of China's inter-provincial railway construction are collected. Organized and conducted corresponding analysis. They are:

  • 1) Railway mileage, railway passenger volume and freight volume in various provinces and cities in China;
  • 2) Railway delivery value between provinces in China;
  • 3) The time for the opening of railways and the opening of high-speed rail in various cities in China;
  • 4) The number of passenger trains in various provincial capital cities in China, etc.

Sample data

Railway operation time matrix between provincial capital cities in China-2020

Beijing Tianjin Shijiazhuang Taiyuan Hohhot Shenyang Changchun Harbin Shanghai Nanjing Hangzhou Hefei Fuzhou Nanchang Jinan Zhengzhou Wuchang Changsha Guangzhou Nanning Haikou Chongqing Chengdu Guiyang Kunming Lhasa Xi'an Lanzhou Xining Yinchuan Urumqi
Beijing 30 67 147 133 225 299 397 258 193 258 215 472 389 82 145 257 338 488 653 2026 672 475 524 649 2440 259 432 1137 650 1852
Tianjin 30 89 184 690 223 299 359 243 177 310 190 511 497 57 191 299 389 547 2434 2066 701 600 2209 2697 2371H 355 604 1757 1261 1060H
Shijiazhuang 67 87 82 757 334 423 496 383 294 397 266 603H 315 105 81 188 269 416 580 1875 574 395 455 580 2282 196 357 979 489 1658
Taiyuan 147 198 81 288 450 1213 1391 531 528 500 376 837H 1126 205 156 352 459 1956 661H 2173H 515 427 665 661H 2174 176 345 507 381 1487
Hohhot 132 690 721 284 1104 1271 1463 1495 1235 1639 1624 2662 1396 984 945 1250 1445 2398 2087 2158H 1417 1478 1748 2308 2504H 784 1052 1244 454 1709
Shenyang 227 220 353 439 1135 64 120 580 492 580 592 830 1140 326 476 605 704 1745 2990 2471 2315 875 2815 3303 2667H 631 2115 2326 1809 3160
Changchun 299 292 441 1258 1397 64 54 661 573 1722 1402 882H 1312 414 563 692 791 1913 3204 2639 2542 2827 3037 3525 2739H 1836 2338 2549 2030 3381
Harbin 448 384 513 1483 1577 120 54 759 660 1900 1563 969H 1482 492 635 772 1597 2034 1900H 2760 2955 3019 3258 3258 2888H 2067 2528 2739 1098H 2300H
Shanghai 258 239 362 556 1511 568 662 737 59 45 124 219 180 179 238 231 263 411 689 2179 623 670 498 639 2847 352 631 1494 1781 2473
Nanjing 196 177 265 425 1306 474 568 634 62 62 48 309 252 117 169 149 257 436 632 1054H 517 578 484 632 2674 282 542 1321 1474 2291
Hangzhou 263 304 364 518 1657 594 1429 1560 45 61 113 170 133 187 275 270 216 364 624 2038 618 688 447 666 2892H 396 658 1895 2061 3202
Hefei 217 222 280 410 1847 490 1218 1359 120 48 112 220 250 131 156 98 209 378 574 996H 463 599 420 568 2375H 304 513 1534 1379H 2850
Fuzhou 480 442 584H 744H 2577 720 887H 954H 221 319 170 216 171 363 444 334 270 342 639 960H 638 748 472 639 2895H 571 808 1640H 1793H 2895
Nanchang 377 531 308 1512 1358 1117 1273 1499 181 254 133 249 176 437 222 114 79 227 437 1269 431 523 290 433 2441H 386 583 1162H 1679H 2557
Jinan 83 58 102 211 1059 312 403 468 184 117 191 131 364 425 211 351 440 608 880 1226H 729 631 739 2509 2430H 342 549 1410 922 1915
Zhengzhou 145 189 81 151 992 430 527 600 243 172 274 147 461 224 207 103 185 331 493 1664 455 306 371 496 2219 107 264 940 1223 1874
Wuchang 252 298 189 382 1278 605 680 753 224 149 239 98 320 113 321 104 78 225 384 1379 354 480 260 389 2505 232 405 1226 1565 2108
Changsha 340 386 269 512 1517 733 816 1615 262 251 214 199 262 78 431 185 77 140 303 1170 326 417 177 305 2733 313 486 1454 1884 2344
Guangzhou 480 538 410 1956 2412 1771 1949 2068 528 441 360 383 352 224 598 325 218 211 167 618 517 460 254 386 3185 3185 626 1906 2420 2816
Nanning 676 2425 604 686H 2170 2998 3254 1938H 722 652 631 601 653 452 824 517 528 323 166 701H 439 522 295 234 3056H 781 2402 1021H 1486H 3559
Haikou 2041 2171 1885 2036H 2174H 2624 2779 2898 2237 1073H 2029 1015H 1431H 1371 1230H 1676 1386 1169 632 704H 1358H 1575H 1126H 1018H 3817H 1783H 1940H 2616H 2899H 3550H
Chongqing 670 713 577 530 1369 2452 2678 2873 634 518 631 467 657 430 711 458 356 332 519 435 1401H 77 121 253 2130 285 537 567 990H 1944
Chengdu 466 594 394 454 1438 845 2771 2949 689 599 717 593 757 516 612 308 482 421 460 532 1624H 77 184 321 2178 492 426 608 1336 2052
Guiyang 523 2301 452 675 1625 2825 3088 3515 539 497 464 445 497 279 720 366 278 175 250 301 1120H 120 184 121 2250H 419 674 659H 1124H 2215
Kunming 646 2796 575 657H 2140 3322 3583 4034 685 657 636 605 658 412 2584 489 372 298 385 238 1003H 267 308 119 2397H 624 1410 1482H 1329H 2717
Lhasa 2438 2362H 2275 2164 2434H 2663H 2737H 2835H 2901 2723 2946H 2490H 3032H 2446H 2550H 2343 2627 2844 3322 3499H 3940H 2162 2146 2283H 2415H 1971 1455 1290 1955H 2067H
Xi'an 263 354 193 190 771 605 1779 1957 354 283 421 314 586 400 336 108 229 311 457 769 1772H 277 189 421 641 1851 152 240 705 795
Lanzhou 434 554 353 403 979 2120 2382 2575 637 545 677 514 831 601 535 263 464 581 751 2096 1927H 415 425 658 1462 1425 151 72 500 612
Xining 1123 1691 960 496 1260 2367 2629 2822 1581 1403 2101 1702 903H 1755 1550 1031 1315 1532 2010 1022H 2695H 585 610 674H 1534H 1256 253 72 720 534
Yinchuan 702 1276 543 429 452 1733 1992 1099H 1676 1436 2215 1418H 1746H 1726H 925 1271 1613 1893 1600 1499H 2935H 1007H 1408 1151H 1371H 1871H 730 446 683 1245
Urumqi 1804 1597H 1639 1505 1717 3110 3334 2201H 2479 2299 3348 2994 3011 2629 1969 1918 2179 1600 2882 3817 3582H 2093 2066 2406 2902 2046H 802 621 543 1255

Matrix of the number of through trains between provincial capital cities in China-2020

Beijing Tianjin Shijiazhuang Taiyuan Hohhot Shenyang Changchun Harbin Shanghai Nanjing Hangzhou Hefei Fuzhou Nanchang Jinan Zhengzhou Wuchang Changsha Guangzhou Nanning Haikou Chongqing Chengdu Guiyang Kunming Lhasa Xi'an Lanzhou Xining Yinchuan Urumqi
Beijing 214 170 33 27 49 24 19 47 67 24 21 8 17 101 101 56 36 16 7 1 8 9 10 7 1 28 9 3 7 2
Tianjin 211 85 18 4 137 87 57 48 69 26 14 8 17 105 51 27 17 15 2 4 5 10 4 4 H 22 5 2 2 H
Shijiazhuang 176 91 96 8 38 22 16 21 26 14 15 H 11 46 168 87 58 31 10 1 11 21 12 9 1 50 14 5 7 3
Taiyuan 34 18 97 8 12 6 4 14 16 8 8 H 4 20 21 10 4 4 H H 10 7 3 H 1 39 8 5 7 3
Hohhot 26 4 8 8 8 4 2 4 4 4 2 2 6 2 6 8 4 2 2 H 1 4 1 1 H 6 8 3 14 3
Shenyang 49 143 38 12 8 160 102 20 30 12 4 2 14 40 28 14 8 10 2 4 4 6 4 4 H 12 4 4 4 2
Changchun 25 93 22 6 4 163 114 14 20 6 2 H 12 22 16 10 4 6 2 4 4 2 4 4 H 6 2 2 2 2
Harbin 21 61 16 4 2 105 116 4 10 4 2 H 6 10 12 8 2 4 H 2 2 2 2 2 H 2 2 2 H H
Shanghai 47 48 21 14 4 18 12 4 467 255 135 34 49 91 88 72 41 14 8 1 22 22 18 6 2 52 22 6 6 4
Nanjing 67 68 26 16 4 28 18 10 474 199 182 21 17 127 110 75 16 3 6 H 22 21 7 5 2 59 24 6 6 4
Hangzhou 23 28 14 8 4 12 6 4 249 191 141 53 74 44 51 40 54 16 8 1 16 12 29 9 H 35 14 2 2 2
Hefei 21 15 15 8 2 4 2 2 144 193 144 19 14 24 74 105 19 8 3 H 28 17 2 2 H 48 20 2 H 2
Fuzhou 7 9 H H 1 2 H H 34 20 53 19 45 12 10 24 16 4 2 H 10 6 6 2 H 7 4 H H 2
Nanchang 16 16 9 2 5 14 12 6 49 20 73 15 45 11 23 83 107 30 15 4 24 30 54 19 H 17 10 H H 2
Jinan 99 102 46 20 2 38 20 10 93 127 43 25 16 11 51 23 15 8 4 H 4 5 3 1 H 23 10 2 2 3
Zhengzhou 101 47 168 19 6 28 16 12 88 110 51 74 10 23 47 168 111 68 13 2 24 42 15 8 4 216 77 11 2 15
Wuchang 59 26 88 10 7 14 10 8 82 86 44 118 29 94 21 170 223 157 16 2 80 50 16 9 2 49 22 2 2 8
Changsha 44 16 63 4 4 8 4 2 40 16 53 19 16 106 15 110 211 222 24 2 30 26 76 27 2 30 12 2 2 4
Guangzhou 16 14 30 4 2 10 6 4 12 3 14 10 4 27 8 61 143 137 90 6 30 26 60 40 2 2 14 2 2 4
Nanning 7 2 10 H 2 2 2 H 8 6 8 3 2 16 4 12 14 22 88 H 6 6 8 49 H 3 2 H H 2
Haikou 1 4 1 H H 4 4 2 1 H 1 H H 4 H 2 2 2 6 H H H H H H H H H H H
Chongqing 8 5 11 10 1 4 4 2 24 24 18 32 10 24 4 24 78 30 29 8 H 113 85 19 1 42 14 3 H 5
Chengdu 9 10 21 7 4 6 2 2 22 21 14 17 6 30 5 42 47 26 22 6 H 108 78 15 2 64 22 8 4 2
Guiyang 13 4 13 3 1 4 4 2 19 7 29 2 6 54 3 16 18 80 58 8 H 86 86 83 H 12 4 H H 2
Kunming 10 4 10 H 1 4 4 2 7 5 10 2 2 19 1 9 11 30 40 47 H 19 16 88 H 3 2 H H 2
Lhasa 1 H 1 1 H H H H 2 2 H H H H H H 2 2 2 H H 1 2 H H 4 8 9 H H
Xi'an 30 18 49 38 7 8 4 2 54 60 36 48 8 20 21 214 48 30 30 3 H 45 62 13 3 4 127 31 10 22
Lanzhou 9 5 14 8 8 4 2 2 22 24 14 20 4 12 10 73 20 12 14 4 H 16 21 4 2 8 125 59 14 33
Xining 3 2 5 5 3 4 2 2 6 6 2 2 H 2 2 11 2 2 2 H H 3 8 H H 9 32 59 4 4
Yinchuan 8 2 8 8 14 4 2 H 6 6 2 H H H 2 2 2 2 2 H H H 4 H H H 10 14 4 3
Urumqi 2 H 3 3 3 2 2 H 4 4 2 2 2 2 3 13 8 4 4 2 H 5 2 2 2 H 20 31 4 3

Data update frequency

Updated from time to time

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