Identification and Assessment of Subway Construction Risk: An Integration of AHP and Experts Grading Method

<table class="table-group" id="tab36"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2"> </td><td class="align_center" colspan="2">Risk judgment matrix of ancillary facilities and equipment</td><td class="align_center" rowspan="2"><span style="width: 75.0039ptpx;"><svg height="22.7523pt" id="M74" style="vertical-align:-8.102201pt" version="1.1" viewbox="-0.0498162 -14.6501 75.0039 22.7523" width="75.0039pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M642 327C642 461 565 582 389 582C298 582 219 548 176 519L185 491C235 515 291 526 348 526C477 526 572 452 572 268C572 145 509 51 431 51C396 51 366 78 366 145C366 189 391 295 402 337L396 341L320 332C315 289 306 229 296 187C276 99 230 55 185 55C149 55 111 89 111 170C111 275 160 373 238 431L222 457C99 394 23 290 23 157C23 40 81 -12 142 -12C185 -12 254 33 293 86C301 31 340 -12 394 -12C437 -12 477 8 524 50C589 108 642 203 642 327Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,8.32,3.132)"><path d="M250 606C250 634 233 656 203 656C168 656 146 618 146 593C146 564 169 545 192 545C227 545 250 573 250 606ZM227 95L212 119C187 98 152 71 135 71C129 71 128 78 134 102L207 373C219 418 217 451 194 451C165 451 92 411 30 351L44 326C77 353 106 371 114 371C124 371 121 357 117 341L55 97C32 5 46 -12 70 -12C108 -12 191 51 227 95Z"></path></g><g transform="matrix(.013,0,0,-0.013,15.008,0)"><path d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z"></path></g><g transform="matrix(.0065,0,0,-0.0065,29.902,-3.929)"><path d="M513 91L497 125C461 87 438 71 424 71C416 71 410 77 419 106C440 174 459 243 472 310C497 441 467 454 445 454C419 454 393 443 360 424C319 400 237 344 180 265H178L196 336C217 421 207 454 182 454C146 454 84 416 25 354L42 318C66 342 103 368 113 368C119 368 124 362 117 333L31 -2L41 -12C59 -3 91 5 119 11C133 76 146 123 162 180C214 262 337 384 383 384C404 384 411 371 391 304C370 233 350 165 333 90C318 24 328 -12 359 -12C385 -12 449 23 513 91Z"></path></g><g transform="matrix(.013,0,0,-0.013,26.044,.38)"><path d="M772 1098H727L517 -348H515L294 324L133 259L147 224L245 263L524 -588H526L772 1098Z"></path></g><rect height="0.65243" width="38.5831" x="36.2614" y="-13.9478"></rect><g transform="matrix(.013,0,0,-0.013,36.261,.007)"><path d="M851 711V739H53V711C135 704 143 693 143 610V-99C143 -182 135 -194 57 -200V-228H325V-200C247 -194 239 -182 239 -99V660C239 688 242 692 273 692H631C658 692 664 689 664 662V-99C664 -182 656 -194 571 -200V-228H848V-200C768 -194 760 -182 760 -99V611C760 693 768 704 851 711Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,48.058,-6.394)"><path d="M504 89L488 119C453 85 428 69 416 69C408 69 405 75 412 102L462 304C492 438 460 451 436 451S388 441 356 423C311 397 229 336 170 256H168L189 340C208 418 200 451 177 451C144 451 82 413 24 352L40 322C65 345 98 369 108 369C114 369 119 363 112 335L28 -3L36 -12C54 -3 83 4 112 10C125 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250 606ZM227 95L212 119C187 98 152 71 135 71C129 71 128 78 134 102L207 373C219 418 217 451 194 451C165 451 92 411 30 351L44 326C77 353 106 371 114 371C124 371 121 357 117 341L55 97C32 5 46 -12 70 -12C108 -12 191 51 227 95Z"></path></g><g transform="matrix(.013,0,0,-0.013,81.401,0)"><path d="M275 270C275 450 212 609 64 710L45 686C145 604 203 442 203 270S147 -63 45 -147L64 -170C213 -68 275 89 275 270Z"></path></g></svg></span></td><td class="align_center" rowspan="2">Risk index</td><td class="align_center" rowspan="2">Total risk index</td></tr><tr class="thead"><td class="align_center">A</td><td class="align_center">B</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">A</td><td class="align_center">1</td><td class="align_center">5</td><td class="align_center">2.236068</td><td class="align_center">83.33%</td><td class="align_center">6.4</td><td class="align_center" rowspan="2">6.18</td></tr><tr><td class="align_left">B</td><td class="align_center">1/5</td><td class="align_center">1</td><td class="align_center">0.447214</td><td class="align_center">16.67%</td><td class="align_center">5.06</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Risk judgment matrix of ancillary facilities and equipment.</div>

Advances in Civil Engineering

tab36

Table 36

Table 36: Identification and Assessment of Subway Construction Risk: An Integration of AHP and Experts Grading Method 