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Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter), Cambridge Systematics, Inc. Vladimir Livshits, Maricopa Association of Governments Bill King, AirSage 1 15 th TRB National Transportation Planning Applications Conference May 17-21, 2015 Atlantic City, New Jersey

Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

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Page 1: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

1Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region

Wang Zhang, Maricopa Association of GovernmentsArun Kuppam (Presenter), Cambridge Systematics, Inc. Vladimir Livshits, Maricopa Association of GovernmentsBill King, AirSage

15th TRB National Transportation Planning Applications ConferenceMay 17-21, 2015

Atlantic City, New Jersey

Page 2: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

2AirSage DataA

irS

ag

e O

-D T

rip

Matr

ix 30 x 30 zones configuration

Weekday (Tue, Wed and Thu) for the month of October

2013

Data divided by Resident and Visitor

Data grouped by AM, MD, PM and Daily

Origin_Zone: origin zone ID

Destination_Zone: destination zone ID

Start_Date: first day date stamp

End_Date: last day date stamp

Aggregation: average weekday (WD)

Tuesday to Thursday

Subscriber_Class: Resident/Visitor

Time_of_Day: Represents the time of day (H06:H09 – 6 to 9am, H09:H14 – 9 am to 2 pm, H14:H18

– 2 to 6 pm)

Count: Average weekday (Tuesday to

Thursday) person trips by time of day.

Page 3: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

3Data Evaluation

Comparison:• Total trips by

TOD• Trip O-D• Trip length

distribution• Screenline

Comparing AirSage

(2013) to MAG travel

demand model (2011) (developed from 2008

NHTS)

AirSageType AM MD PM NT DAILYResident 1,335,935 2,144,467 2,130,021 2,526,167 8,136,591 Visitor 35,526 146,733 111,264 84,059 377,582 Total 1,371,461 2,291,200 2,241,286 2,610,226 8,514,173 Total 16% 27% 26% 31% 100%

MAG TDMType AM MD PM NT DAILYTotal 1,457,320 2,516,982 2,640,481 2,044,586 8,659,369 Total 17% 29% 30% 24% 100%

(AirSage-TDM)/TDM (Include visitor) -6% -9% -15% 28% -2%(AirSage-TDM)/TDM (Exclude visitor) -8% -15% -19% 24% -6%

Page 4: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

4AirSage vs. Model (total trips) – AM

AM 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 Grand Total101 3,593 1,606 2,746 827 1,121 1,166 371 637 294 100 168 226 46 982 321 1,095 347 190 53 227 183 176 81 125 45 70 29 115 125 102 17,166 102 1,607 1,501 1,054 885 869 560 195 427 179 81 87 129 27 827 230 617 194 103 33 198 157 119 55 110 37 59 22 75 73 58 10,568 103 3,677 1,559 16,392 1,018 1,859 5,169 3,600 1,124 941 435 757 1,048 123 1,371 629 5,288 1,021 643 172 460 350 353 156 244 84 131 55 462 246 200 49,569 104 1,535 1,565 1,459 8,392 3,685 1,128 305 1,621 456 131 155 195 36 2,304 454 773 257 123 39 911 690 373 129 341 90 160 47 98 92 74 27,618 105 1,116 1,012 1,345 2,014 7,231 3,427 400 3,831 1,146 313 306 356 111 699 327 752 332 181 97 1,935 1,371 831 377 739 260 398 164 215 152 114 31,552 106 2,115 1,331 6,415 1,100 5,559 20,035 1,735 3,586 5,420 1,158 1,124 767 72 736 386 1,482 430 237 73 1,062 697 920 328 571 152 264 87 354 142 114 58,449 107 1,112 628 6,203 443 1,052 2,783 11,966 618 636 790 1,442 3,541 194 626 331 5,252 914 1,757 341 255 179 181 76 127 44 69 31 935 130 91 42,747 108 632 466 745 877 3,873 2,056 239 17,838 2,926 576 198 187 42 458 216 505 192 139 35 4,511 1,390 3,791 651 1,991 421 688 208 144 76 62 46,134 109 582 433 1,133 413 2,042 4,785 338 4,691 19,782 3,368 675 258 49 282 151 438 152 115 43 1,126 384 1,835 527 932 232 397 125 339 57 49 45,734 110 231 245 548 146 600 1,159 406 912 3,113 15,220 3,718 1,054 125 120 64 272 95 322 123 371 131 557 199 337 89 146 52 1,561 54 27 32,000 111 698 418 2,058 336 1,008 2,360 1,856 681 1,319 7,181 14,600 5,038 200 285 124 739 181 597 205 243 139 266 93 159 47 77 32 2,316 81 36 43,375 112 1,013 622 3,130 462 1,165 2,012 5,490 651 597 3,858 6,505 27,467 696 601 261 3,329 695 6,526 975 263 178 202 88 143 55 84 42 7,906 241 87 75,345 113 235 146 472 102 227 204 527 111 112 535 382 1,087 19,372 277 564 1,119 1,971 2,075 5,166 59 56 55 37 48 27 37 24 2,929 2,083 305 40,343 114 2,263 1,785 2,347 3,425 2,004 1,003 573 1,144 401 135 158 306 98 10,462 2,586 3,457 1,001 272 107 571 495 280 95 242 64 120 40 181 293 243 36,151 115 1,148 816 1,523 999 1,074 712 425 629 291 93 100 212 288 3,733 13,572 3,043 3,987 262 283 284 336 158 63 130 42 78 31 188 1,442 1,898 37,842 116 3,085 1,755 9,316 1,233 2,151 2,861 6,685 1,320 809 579 703 2,751 600 4,159 2,718 35,626 8,949 4,713 1,565 559 424 358 146 262 87 142 64 1,459 1,092 537 96,709 117 1,860 1,102 3,749 789 1,512 1,429 2,047 887 515 274 249 910 1,580 2,406 5,675 13,723 32,342 2,196 3,556 351 302 217 90 157 57 95 45 886 4,504 1,356 84,861 118 777 465 1,930 330 596 652 3,047 334 230 1,013 758 6,244 1,363 590 366 5,737 1,894 18,697 4,301 130 96 95 50 73 33 48 27 5,125 468 137 55,606 119 356 224 768 149 274 240 957 135 107 495 353 1,356 4,286 345 586 2,700 4,321 5,263 12,837 59 53 47 29 40 21 28 18 2,674 1,391 260 40,372 120 498 475 715 828 3,135 1,133 200 6,423 1,251 445 142 139 38 396 172 391 138 72 31 21,660 6,179 2,589 611 5,511 650 2,938 535 108 57 47 57,508 121 563 550 796 942 3,255 1,092 206 3,106 623 198 112 130 40 540 342 448 196 69 33 8,591 18,802 964 275 1,495 353 1,594 348 77 80 78 45,899 122 500 386 735 510 2,224 1,460 203 7,186 3,019 1,153 218 148 43 283 136 361 133 69 33 3,473 916 29,411 5,931 8,942 2,139 1,166 331 179 54 46 71,389 123 360 276 506 326 1,442 848 130 2,398 1,432 585 116 93 35 180 93 237 88 51 27 1,437 449 8,467 26,474 4,050 5,334 602 500 103 40 35 56,713 124 421 399 599 579 2,154 995 161 4,226 1,633 643 141 117 42 291 133 304 109 60 32 8,216 1,772 8,376 2,242 30,585 5,038 7,279 1,602 126 50 43 78,366 125 259 240 353 299 1,190 500 89 1,836 792 310 68 66 27 151 73 168 65 37 21 1,987 744 3,653 5,583 8,245 20,949 2,754 4,483 64 30 27 55,060 126 299 280 406 377 1,393 595 108 2,095 884 326 82 83 35 213 114 218 91 47 26 5,592 2,296 1,740 574 8,869 2,178 27,698 4,506 79 41 37 61,283 127 185 168 254 203 818 351 67 1,172 537 207 50 53 24 118 66 132 56 31 19 2,216 991 913 944 3,345 5,605 6,116 18,190 51 27 24 42,933 128 509 327 1,255 222 533 775 1,368 428 642 3,639 2,468 5,258 1,862 333 277 1,530 782 4,541 2,254 170 91 217 85 139 46 74 35 17,668 407 124 48,058 129 676 408 960 294 555 433 279 326 166 166 122 324 2,101 812 2,403 2,073 5,646 686 1,504 126 123 85 43 67 29 44 24 583 13,357 3,207 37,625 130 629 380 886 279 510 404 228 304 167 61 52 124 297 816 3,169 1,224 1,747 199 265 117 134 79 39 61 26 41 21 164 3,939 13,983 30,345 Grand Total 32,535 21,567 70,798 28,798 55,112 62,327 44,201 70,677 50,419 44,071 36,012 59,670 33,853 35,396 36,539 93,033 68,326 50,276 34,250 67,162 40,106 67,307 46,070 78,080 44,234 53,395 31,719 47,164 30,821 23,402 1,457,320

AM ResidentFrom To 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 Grand Total

101 1,929 351 969 231 474 668 240 429 234 192 166 226 94 375 185 627 385 243 121 170 177 194 132 237 145 102 87 151 183 155 9,874 102 212 1,539 539 300 382 292 150 182 110 98 105 170 118 420 233 358 300 173 90 150 109 125 73 149 125 98 103 139 163 97 7,101 103 2,645 1,490 10,042 559 1,723 2,830 2,015 1,158 1,051 1,239 952 1,187 318 823 514 2,478 971 857 524 750 474 568 285 437 254 387 138 903 431 299 38,304 104 1,542 1,438 1,738 7,883 2,777 1,221 734 1,647 801 463 216 405 158 2,340 449 1,061 548 360 50 1,686 1,286 634 280 552 228 627 217 414 181 137 32,072 105 670 580 875 1,043 4,945 1,259 329 1,806 879 423 303 416 179 639 326 551 371 272 151 1,252 884 658 348 702 363 553 299 306 216 170 21,766 106 2,265 1,277 4,834 592 3,074 15,128 1,194 2,288 4,095 2,536 1,669 1,154 241 638 337 1,378 620 624 313 1,183 733 992 480 612 293 550 252 1,087 276 217 50,934 107 1,869 936 4,844 296 1,181 2,684 10,262 846 860 1,754 1,412 2,289 409 470 435 2,377 1,035 1,404 497 505 237 327 140 341 116 251 75 1,428 289 239 39,810 108 647 370 652 273 1,231 812 203 6,037 1,063 709 253 199 39 267 106 321 132 147 68 1,595 595 1,280 491 982 403 623 247 222 87 52 20,104 109 833 576 1,337 227 1,341 3,068 424 2,277 10,388 3,731 1,071 522 87 212 213 397 265 244 100 986 467 1,008 521 822 420 490 207 758 75 64 33,132 110 320 197 739 60 544 1,071 312 507 1,854 6,970 1,904 712 97 82 53 342 95 338 137 357 154 290 211 174 135 213 70 1,010 61 58 19,067 111 1,063 557 2,251 239 1,166 2,596 1,385 980 2,142 5,891 12,928 3,157 317 247 165 593 323 703 285 427 258 433 198 262 112 221 110 2,617 141 77 41,844 112 2,164 1,447 4,316 397 2,013 3,509 4,055 1,411 2,361 6,487 6,336 25,488 1,037 657 430 2,562 1,137 3,400 1,351 733 336 465 321 474 198 350 182 7,515 420 206 81,758 113 581 496 1,020 134 615 730 861 304 394 1,098 464 1,386 17,259 413 437 1,616 2,542 2,914 3,841 197 78 131 51 89 26 78 35 3,196 1,583 418 42,986 114 1,741 1,922 2,766 2,797 2,612 1,292 774 1,668 639 578 304 414 235 10,596 1,957 2,002 974 523 280 1,406 945 617 354 491 220 678 250 574 461 426 40,495 115 1,391 1,384 2,391 1,046 1,616 1,382 767 1,086 499 527 306 518 545 2,949 11,988 2,400 2,968 558 469 744 671 299 159 281 94 348 138 757 1,779 1,823 41,882 116 2,917 2,463 7,020 1,160 2,774 3,152 3,857 1,500 1,461 1,973 1,414 2,810 1,543 2,620 2,080 24,777 6,065 3,785 2,868 911 783 577 350 548 375 506 360 2,985 1,310 931 85,874 117 2,818 2,490 5,389 836 2,819 2,385 2,530 1,283 1,138 1,592 976 2,056 3,103 3,069 4,233 8,839 27,380 2,676 4,139 884 739 593 327 368 238 441 272 2,752 4,170 1,762 92,299 118 1,226 962 2,423 302 1,153 1,502 2,122 735 713 1,878 1,261 3,644 1,652 691 677 3,737 1,896 15,784 3,894 399 220 324 95 282 71 236 119 5,061 564 346 53,970 119 917 717 1,626 153 730 699 1,093 409 385 1,008 615 1,609 2,865 457 602 2,226 2,541 3,582 10,456 248 135 168 61 135 59 119 39 3,156 873 317 38,000 120 932 643 1,288 711 2,351 1,244 259 4,457 1,469 1,134 314 234 64 448 279 635 275 177 74 13,094 3,078 2,163 973 3,254 833 2,642 843 299 78 108 44,353 121 1,139 947 1,410 718 2,557 1,365 313 2,804 1,003 645 224 217 57 697 451 651 224 167 100 4,350 15,808 1,095 403 1,323 468 1,874 591 274 151 98 42,125 122 883 887 1,256 483 2,713 1,460 401 4,904 2,816 1,729 454 426 98 441 299 407 238 253 55 3,230 1,238 21,203 5,349 5,107 2,647 2,351 1,174 658 117 133 63,408 123 619 691 959 308 1,859 1,170 252 2,939 1,627 1,232 298 228 86 248 174 306 161 133 82 2,179 716 8,012 20,076 3,299 3,430 1,579 1,228 344 58 45 54,339 124 1,228 929 1,396 557 3,078 1,375 361 4,595 2,145 1,664 442 291 103 435 219 444 273 207 93 5,874 2,267 5,058 2,388 19,914 3,391 6,023 2,494 490 84 117 67,936 125 666 700 801 324 1,974 904 200 2,519 1,328 865 231 137 34 263 170 275 84 93 41 2,619 1,102 3,727 3,366 4,715 17,260 2,793 4,787 343 42 42 52,407 126 812 599 894 356 1,949 856 180 2,649 1,199 1,009 225 118 39 281 195 306 170 155 79 4,431 2,051 2,051 1,028 4,785 1,788 20,654 4,445 296 63 67 53,730 127 504 379 629 164 1,327 565 121 1,768 836 525 135 124 26 269 113 180 120 116 50 2,175 1,025 1,710 1,482 2,567 4,398 4,305 15,482 222 48 42 41,408 128 850 729 1,546 129 910 1,361 1,030 644 1,335 4,141 2,376 3,629 1,585 281 304 1,390 869 2,706 1,636 372 232 220 108 180 110 144 83 16,962 388 228 46,478 129 1,195 1,063 2,217 316 1,067 821 820 759 486 666 264 774 2,440 1,038 1,961 2,263 4,262 1,170 1,749 347 243 242 102 168 60 160 63 1,349 13,989 2,730 44,783 130 1,008 1,005 1,582 319 1,125 695 570 337 284 377 141 399 726 1,098 2,610 1,581 2,049 568 610 348 143 197 109 166 60 141 65 550 3,392 11,440 33,696

Grand Total 37,586 29,765 69,749 22,910 54,079 58,095 37,815 54,931 45,597 53,134 37,758 54,940 35,554 33,463 32,194 67,079 59,275 44,331 34,204 53,602 37,185 55,360 40,261 53,417 38,321 49,535 34,456 56,819 31,676 22,844 1,335,935

Blue (>= 2,000), red (<=500), white (500-2000)

Page 5: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

5AirSage vs. Model % (trip/tot dest) – AMFrom To 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130

101 5% 1% 1% 1% 1% 1% 1% 1% 1% 0% 0% 0% 0% 1% 1% 1% 1% 1% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 1% 1%102 1% 5% 1% 1% 1% 1% 0% 0% 0% 0% 0% 0% 0% 1% 1% 1% 1% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 1% 0%103 7% 5% 14% 2% 3% 5% 5% 2% 2% 2% 3% 2% 1% 2% 2% 4% 2% 2% 2% 1% 1% 1% 1% 1% 1% 1% 0% 2% 1% 1%104 4% 5% 2% 34% 5% 2% 2% 3% 2% 1% 1% 1% 0% 7% 1% 2% 1% 1% 0% 3% 3% 1% 1% 1% 1% 1% 1% 1% 1% 1%105 2% 2% 1% 5% 9% 2% 1% 3% 2% 1% 1% 1% 1% 2% 1% 1% 1% 1% 0% 2% 2% 1% 1% 1% 1% 1% 1% 1% 1% 1%106 6% 4% 7% 3% 6% 26% 3% 4% 9% 5% 4% 2% 1% 2% 1% 2% 1% 1% 1% 2% 2% 2% 1% 1% 1% 1% 1% 2% 1% 1%107 5% 3% 7% 1% 2% 5% 27% 2% 2% 3% 4% 4% 1% 1% 1% 4% 2% 3% 1% 1% 1% 1% 0% 1% 0% 1% 0% 3% 1% 1%108 2% 1% 1% 1% 2% 1% 1% 11% 2% 1% 1% 0% 0% 1% 0% 0% 0% 0% 0% 3% 2% 2% 1% 2% 1% 1% 1% 0% 0% 0%109 2% 2% 2% 1% 2% 5% 1% 4% 23% 7% 3% 1% 0% 1% 1% 1% 0% 1% 0% 2% 1% 2% 1% 2% 1% 1% 1% 1% 0% 0%110 1% 1% 1% 0% 1% 2% 1% 1% 4% 13% 5% 1% 0% 0% 0% 1% 0% 1% 0% 1% 0% 1% 1% 0% 0% 0% 0% 2% 0% 0%111 3% 2% 3% 1% 2% 4% 4% 2% 5% 11% 34% 6% 1% 1% 1% 1% 1% 2% 1% 1% 1% 1% 0% 0% 0% 0% 0% 5% 0% 0%112 6% 5% 6% 2% 4% 6% 11% 3% 5% 12% 17% 46% 3% 2% 1% 4% 2% 8% 4% 1% 1% 1% 1% 1% 1% 1% 1% 13% 1% 1%113 2% 2% 1% 1% 1% 1% 2% 1% 1% 2% 1% 3% 49% 1% 1% 2% 4% 7% 11% 0% 0% 0% 0% 0% 0% 0% 0% 6% 5% 2%114 5% 6% 4% 12% 5% 2% 2% 3% 1% 1% 1% 1% 1% 32% 6% 3% 2% 1% 1% 3% 3% 1% 1% 1% 1% 1% 1% 1% 1% 2%115 4% 5% 3% 5% 3% 2% 2% 2% 1% 1% 1% 1% 2% 9% 37% 4% 5% 1% 1% 1% 2% 1% 0% 1% 0% 1% 0% 1% 6% 8%116 8% 8% 10% 5% 5% 5% 10% 3% 3% 4% 4% 5% 4% 8% 6% 37% 10% 9% 8% 2% 2% 1% 1% 1% 1% 1% 1% 5% 4% 4%117 7% 8% 8% 4% 5% 4% 7% 2% 2% 3% 3% 4% 9% 9% 13% 13% 46% 6% 12% 2% 2% 1% 1% 1% 1% 1% 1% 5% 13% 8%118 3% 3% 3% 1% 2% 3% 6% 1% 2% 4% 3% 7% 5% 2% 2% 6% 3% 36% 11% 1% 1% 1% 0% 1% 0% 0% 0% 9% 2% 2%119 2% 2% 2% 1% 1% 1% 3% 1% 1% 2% 2% 3% 8% 1% 2% 3% 4% 8% 31% 0% 0% 0% 0% 0% 0% 0% 0% 6% 3% 1%120 2% 2% 2% 3% 4% 2% 1% 8% 3% 2% 1% 0% 0% 1% 1% 1% 0% 0% 0% 24% 8% 4% 2% 6% 2% 5% 2% 1% 0% 0%121 3% 3% 2% 3% 5% 2% 1% 5% 2% 1% 1% 0% 0% 2% 1% 1% 0% 0% 0% 8% 43% 2% 1% 2% 1% 4% 2% 0% 0% 0%122 2% 3% 2% 2% 5% 3% 1% 9% 6% 3% 1% 1% 0% 1% 1% 1% 0% 1% 0% 6% 3% 38% 13% 10% 7% 5% 3% 1% 0% 1%123 2% 2% 1% 1% 3% 2% 1% 5% 4% 2% 1% 0% 0% 1% 1% 0% 0% 0% 0% 4% 2% 14% 50% 6% 9% 3% 4% 1% 0% 0%124 3% 3% 2% 2% 6% 2% 1% 8% 5% 3% 1% 1% 0% 1% 1% 1% 0% 0% 0% 11% 6% 9% 6% 37% 9% 12% 7% 1% 0% 1%125 2% 2% 1% 1% 4% 2% 1% 5% 3% 2% 1% 0% 0% 1% 1% 0% 0% 0% 0% 5% 3% 7% 8% 9% 45% 6% 14% 1% 0% 0%126 2% 2% 1% 2% 4% 1% 0% 5% 3% 2% 1% 0% 0% 1% 1% 0% 0% 0% 0% 8% 6% 4% 3% 9% 5% 42% 13% 1% 0% 0%127 1% 1% 1% 1% 2% 1% 0% 3% 2% 1% 0% 0% 0% 1% 0% 0% 0% 0% 0% 4% 3% 3% 4% 5% 11% 9% 45% 0% 0% 0%128 2% 2% 2% 1% 2% 2% 3% 1% 3% 8% 6% 7% 4% 1% 1% 2% 1% 6% 5% 1% 1% 0% 0% 0% 0% 0% 0% 30% 1% 1%129 3% 4% 3% 1% 2% 1% 2% 1% 1% 1% 1% 1% 7% 3% 6% 3% 7% 3% 5% 1% 1% 0% 0% 0% 0% 0% 0% 2% 44% 12%130 3% 3% 2% 1% 2% 1% 2% 1% 1% 1% 0% 1% 2% 3% 8% 2% 3% 1% 2% 1% 0% 0% 0% 0% 0% 0% 0% 1% 11% 50%

From To 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130101 11% 7% 4% 3% 2% 2% 1% 1% 1% 0% 0% 0% 0% 3% 1% 1% 1% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%102 5% 7% 1% 3% 2% 1% 0% 1% 0% 0% 0% 0% 0% 2% 1% 1% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0%103 11% 7% 23% 4% 3% 8% 8% 2% 2% 1% 2% 2% 0% 4% 2% 6% 1% 1% 1% 1% 1% 1% 0% 0% 0% 0% 0% 1% 1% 1%104 5% 7% 2% 29% 7% 2% 1% 2% 1% 0% 0% 0% 0% 7% 1% 1% 0% 0% 0% 1% 2% 1% 0% 0% 0% 0% 0% 0% 0% 0%105 3% 5% 2% 7% 13% 5% 1% 5% 2% 1% 1% 1% 0% 2% 1% 1% 0% 0% 0% 3% 3% 1% 1% 1% 1% 1% 1% 0% 0% 0%106 7% 6% 9% 4% 10% 32% 4% 5% 11% 3% 3% 1% 0% 2% 1% 2% 1% 0% 0% 2% 2% 1% 1% 1% 0% 0% 0% 1% 0% 0%107 3% 3% 9% 2% 2% 4% 27% 1% 1% 2% 4% 6% 1% 2% 1% 6% 1% 3% 1% 0% 0% 0% 0% 0% 0% 0% 0% 2% 0% 0%108 2% 2% 1% 3% 7% 3% 1% 25% 6% 1% 1% 0% 0% 1% 1% 1% 0% 0% 0% 7% 3% 6% 1% 3% 1% 1% 1% 0% 0% 0%109 2% 2% 2% 1% 4% 8% 1% 7% 39% 8% 2% 0% 0% 1% 0% 0% 0% 0% 0% 2% 1% 3% 1% 1% 1% 1% 0% 1% 0% 0%110 1% 1% 1% 1% 1% 2% 1% 1% 6% 35% 10% 2% 0% 0% 0% 0% 0% 1% 0% 1% 0% 1% 0% 0% 0% 0% 0% 3% 0% 0%111 2% 2% 3% 1% 2% 4% 4% 1% 3% 16% 41% 8% 1% 1% 0% 1% 0% 1% 1% 0% 0% 0% 0% 0% 0% 0% 0% 5% 0% 0%112 3% 3% 4% 2% 2% 3% 12% 1% 1% 9% 18% 46% 2% 2% 1% 4% 1% 13% 3% 0% 0% 0% 0% 0% 0% 0% 0% 17% 1% 0%113 1% 1% 1% 0% 0% 0% 1% 0% 0% 1% 1% 2% 57% 1% 2% 1% 3% 4% 15% 0% 0% 0% 0% 0% 0% 0% 0% 6% 7% 1%114 7% 8% 3% 12% 4% 2% 1% 2% 1% 0% 0% 1% 0% 30% 7% 4% 1% 1% 0% 1% 1% 0% 0% 0% 0% 0% 0% 0% 1% 1%115 4% 4% 2% 3% 2% 1% 1% 1% 1% 0% 0% 0% 1% 11% 37% 3% 6% 1% 1% 0% 1% 0% 0% 0% 0% 0% 0% 0% 5% 8%116 9% 8% 13% 4% 4% 5% 15% 2% 2% 1% 2% 5% 2% 12% 7% 38% 13% 9% 5% 1% 1% 1% 0% 0% 0% 0% 0% 3% 4% 2%117 6% 5% 5% 3% 3% 2% 5% 1% 1% 1% 1% 2% 5% 7% 16% 15% 47% 4% 10% 1% 1% 0% 0% 0% 0% 0% 0% 2% 15% 6%118 2% 2% 3% 1% 1% 1% 7% 0% 0% 2% 2% 10% 4% 2% 1% 6% 3% 37% 13% 0% 0% 0% 0% 0% 0% 0% 0% 11% 2% 1%119 1% 1% 1% 1% 0% 0% 2% 0% 0% 1% 1% 2% 13% 1% 2% 3% 6% 10% 37% 0% 0% 0% 0% 0% 0% 0% 0% 6% 5% 1%120 2% 2% 1% 3% 6% 2% 0% 9% 2% 1% 0% 0% 0% 1% 0% 0% 0% 0% 0% 32% 15% 4% 1% 7% 1% 6% 2% 0% 0% 0%121 2% 3% 1% 3% 6% 2% 0% 4% 1% 0% 0% 0% 0% 2% 1% 0% 0% 0% 0% 13% 47% 1% 1% 2% 1% 3% 1% 0% 0% 0%122 2% 2% 1% 2% 4% 2% 0% 10% 6% 3% 1% 0% 0% 1% 0% 0% 0% 0% 0% 5% 2% 44% 13% 11% 5% 2% 1% 0% 0% 0%123 1% 1% 1% 1% 3% 1% 0% 3% 3% 1% 0% 0% 0% 1% 0% 0% 0% 0% 0% 2% 1% 13% 57% 5% 12% 1% 2% 0% 0% 0%124 1% 2% 1% 2% 4% 2% 0% 6% 3% 1% 0% 0% 0% 1% 0% 0% 0% 0% 0% 12% 4% 12% 5% 39% 11% 14% 5% 0% 0% 0%125 1% 1% 0% 1% 2% 1% 0% 3% 2% 1% 0% 0% 0% 0% 0% 0% 0% 0% 0% 3% 2% 5% 12% 11% 47% 5% 14% 0% 0% 0%126 1% 1% 1% 1% 3% 1% 0% 3% 2% 1% 0% 0% 0% 1% 0% 0% 0% 0% 0% 8% 6% 3% 1% 11% 5% 52% 14% 0% 0% 0%127 1% 1% 0% 1% 1% 1% 0% 2% 1% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 3% 2% 1% 2% 4% 13% 11% 57% 0% 0% 0%128 2% 2% 2% 1% 1% 1% 3% 1% 1% 8% 7% 9% 6% 1% 1% 2% 1% 9% 7% 0% 0% 0% 0% 0% 0% 0% 0% 37% 1% 1%129 2% 2% 1% 1% 1% 1% 1% 0% 0% 0% 0% 1% 6% 2% 7% 2% 8% 1% 4% 0% 0% 0% 0% 0% 0% 0% 0% 1% 43% 14%130 2% 2% 1% 1% 1% 1% 1% 0% 0% 0% 0% 0% 1% 2% 9% 1% 3% 0% 1% 0% 0% 0% 0% 0% 0% 0% 0% 0% 13% 60%

Blue (>= 25%), red (<=1%), white (1%-25%)

Page 6: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

6Normalized Percentage (AM)

[(AirSage trip – MAG TDM trip)/MAG TDM trip]*MAG TDM %

Most of normalized difference within -2% to 2% range.

From To 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130101 -5.1% -5.8% -2.5% -2.1% -1.2% -0.8% -0.3% -0.3% -0.1% 0.2% 0.0% 0.0% 0.1% -1.7% -0.4% -0.5% 0.1% 0.1% 0.2% -0.1% 0.0% 0.0% 0.1% 0.1% 0.2% 0.1% 0.2% 0.1% 0.2% 0.2%102 -4.3% 0.2% -0.7% -2.0% -0.9% -0.4% -0.1% -0.3% -0.1% 0.0% 0.0% 0.1% 0.3% -1.1% 0.0% -0.3% 0.2% 0.1% 0.2% -0.1% -0.1% 0.0% 0.0% 0.0% 0.2% 0.1% 0.3% 0.1% 0.3% 0.2%103 -3.2% -0.3% -9.0% -1.6% -0.2% -3.8% -3.6% 0.0% 0.2% 1.8% 0.5% 0.2% 0.6% -1.5% -0.3% -3.0% -0.1% 0.4% 1.0% 0.4% 0.3% 0.3% 0.3% 0.2% 0.4% 0.5% 0.3% 0.9% 0.6% 0.4%104 0.0% -0.6% 0.4% -1.8% -1.6% 0.1% 1.0% 0.0% 0.7% 0.8% 0.2% 0.4% 0.4% 0.1% 0.0% 0.3% 0.4% 0.5% 0.0% 1.2% 1.5% 0.4% 0.3% 0.3% 0.3% 0.9% 0.5% 0.7% 0.3% 0.3%105 -1.4% -2.0% -0.7% -3.4% -4.1% -3.5% -0.2% -2.9% -0.5% 0.2% 0.0% 0.1% 0.2% -0.2% 0.0% -0.2% 0.1% 0.2% 0.2% -1.0% -1.2% -0.3% -0.1% 0.0% 0.2% 0.3% 0.4% 0.2% 0.2% 0.2%106 0.5% -0.2% -2.2% -1.8% -4.5% -7.9% -1.2% -1.8% -2.6% 3.1% 1.5% 0.6% 0.5% -0.3% -0.1% -0.1% 0.3% 0.8% 0.7% 0.2% 0.1% 0.1% 0.3% 0.1% 0.3% 0.5% 0.5% 1.6% 0.4% 0.4%107 2.3% 1.4% -1.9% -0.5% 0.2% -0.2% -3.9% 0.3% 0.4% 2.2% -0.1% -2.1% 0.6% -0.4% 0.3% -3.1% 0.2% -0.7% 0.5% 0.4% 0.1% 0.2% 0.1% 0.3% 0.2% 0.3% 0.1% 1.0% 0.5% 0.6%108 0.0% -0.4% -0.1% -2.1% -4.8% -2.0% -0.1% -16.7% -3.7% 0.3% 0.2% 0.0% 0.0% -0.5% -0.3% -0.2% -0.1% 0.0% 0.1% -4.3% -2.0% -3.7% -0.3% -1.3% 0.0% -0.1% 0.1% 0.2% 0.0% 0.0%109 0.8% 0.7% 0.3% -0.6% -1.3% -2.8% 0.2% -3.4% -18.6% 0.8% 1.1% 0.4% 0.1% -0.2% 0.2% 0.0% 0.2% 0.3% 0.2% -0.2% 0.2% -1.2% 0.0% -0.1% 0.4% 0.2% 0.3% 0.9% 0.1% 0.1%110 0.3% -0.2% 0.3% -0.3% -0.1% -0.1% -0.2% -0.6% -2.5% -18.7% -5.0% -0.6% -0.1% -0.1% 0.0% 0.1% 0.0% 0.0% 0.0% 0.0% 0.1% -0.4% 0.0% -0.2% 0.1% 0.1% 0.1% -1.2% 0.0% 0.1%111 1.1% 0.6% 0.3% -0.3% 0.3% 0.4% -1.1% 0.4% 1.6% -2.9% -4.6% -3.2% 0.3% -0.1% 0.1% -0.2% 0.2% 0.2% 0.2% 0.3% 0.3% 0.2% 0.2% 0.1% 0.1% 0.3% 0.2% 0.6% 0.2% 0.2%112 3.5% 3.8% 1.7% -0.2% 1.5% 2.4% -3.2% 1.1% 3.5% 6.0% -0.5% -3.3% 1.0% 0.2% 0.5% -0.8% 0.6% -6.2% 1.1% 0.7% 0.4% 0.4% 0.5% 0.4% 0.3% 0.5% 0.4% -0.8% 0.6% 0.5%113 1.1% 1.6% 0.8% 0.1% 0.7% 0.8% 0.8% 0.3% 0.6% 1.3% 0.2% 0.5% -6.2% 0.4% -0.3% 0.5% 0.8% 1.7% -3.9% 0.2% 0.1% 0.1% 0.0% 0.1% 0.0% 0.1% 0.0% 0.6% -1.6% 0.5%114 -1.6% 0.6% 0.6% -2.2% 1.1% 0.5% 0.5% 0.7% 0.5% 1.0% 0.4% 0.2% 0.4% 0.4% -1.7% -1.6% 0.0% 0.5% 0.5% 1.2% 1.1% 0.5% 0.6% 0.3% 0.4% 1.0% 0.7% 0.8% 0.5% 0.8%115 0.7% 2.6% 1.2% 0.2% 1.0% 1.1% 0.8% 0.6% 0.4% 1.0% 0.6% 0.5% 0.8% -2.2% -4.3% -0.7% -1.5% 0.6% 0.5% 0.7% 0.8% 0.2% 0.2% 0.2% 0.1% 0.5% 0.3% 1.2% 1.1% -0.3%116 -0.5% 3.3% -3.2% -0.3% 1.1% 0.5% -6.4% 0.3% 1.3% 3.2% 2.0% 0.1% 2.8% -4.3% -1.7% -11.7% -4.2% -1.8% 3.8% 0.5% 0.9% 0.3% 0.4% 0.4% 0.7% 0.7% 0.9% 3.2% 0.7% 1.7%117 2.9% 6.4% 2.3% 0.2% 2.4% 1.5% 1.1% 0.6% 1.2% 3.0% 2.0% 1.9% 4.5% 1.9% -3.9% -5.2% -7.3% 1.0% 1.7% 0.8% 1.1% 0.6% 0.5% 0.3% 0.4% 0.6% 0.7% 4.0% -1.1% 1.7%118 1.4% 2.3% 0.7% -0.1% 1.0% 1.4% -2.1% 0.6% 1.0% 2.0% 1.4% -4.4% 0.9% 0.3% 0.9% -2.1% 0.0% -5.8% -1.2% 0.4% 0.3% 0.3% 0.1% 0.3% 0.1% 0.4% 0.3% -0.1% 0.3% 0.9%119 1.7% 2.3% 1.2% 0.0% 0.8% 0.7% 0.3% 0.4% 0.6% 1.2% 0.7% 0.4% -4.2% 0.3% 0.0% -0.5% -2.6% -3.3% -6.9% 0.3% 0.2% 0.2% 0.1% 0.1% 0.1% 0.2% 0.1% 1.0% -1.7% 0.2%120 1.3% 0.8% 0.8% -0.4% -1.4% 0.2% 0.1% -2.8% 0.4% 1.6% 0.5% 0.2% 0.1% 0.1% 0.3% 0.3% 0.2% 0.2% 0.1% -12.8% -7.7% -0.6% 0.8% -2.9% 0.4% -0.6% 1.0% 0.4% 0.1% 0.3%121 1.8% 1.8% 0.9% -0.8% -1.3% 0.4% 0.2% -0.4% 0.8% 1.0% 0.3% 0.1% 0.0% 0.4% 0.3% 0.2% 0.0% 0.2% 0.2% -6.3% -7.5% 0.2% 0.3% -0.2% 0.3% 0.5% 0.8% 0.4% 0.2% 0.1%122 1.2% 2.3% 0.7% -0.1% 0.9% 0.0% 0.4% -3.2% -0.4% 1.3% 0.7% 0.5% 0.2% 0.4% 0.4% 0.0% 0.2% 0.4% 0.1% -0.4% 0.8% -12.2% -1.3% -4.9% 1.1% 2.2% 2.7% 1.0% 0.2% 0.4%123 0.8% 1.9% 0.6% -0.1% 0.8% 0.5% 0.3% 0.8% 0.4% 1.5% 0.5% 0.2% 0.1% 0.2% 0.2% 0.1% 0.1% 0.2% 0.2% 1.1% 0.7% -0.7% -13.9% -1.0% -4.3% 1.8% 2.3% 0.5% 0.1% 0.0%124 2.5% 2.5% 1.1% -0.1% 1.7% 0.6% 0.5% 0.5% 1.0% 2.3% 0.8% 0.3% 0.2% 0.4% 0.2% 0.2% 0.2% 0.3% 0.2% -3.5% 1.2% -4.9% 0.3% -13.7% -3.7% -2.4% 2.8% 0.8% 0.1% 0.3%125 1.3% 2.1% 0.6% 0.1% 1.4% 0.6% 0.3% 1.0% 1.1% 1.3% 0.5% 0.1% 0.0% 0.3% 0.3% 0.1% 0.0% 0.1% 0.1% 0.9% 0.9% 0.1% -4.8% -4.5% -8.3% 0.1% 1.0% 0.6% 0.0% 0.1%126 1.6% 1.5% 0.7% -0.1% 1.0% 0.4% 0.2% 0.8% 0.6% 1.5% 0.4% 0.1% 0.0% 0.2% 0.2% 0.1% 0.1% 0.2% 0.2% -1.7% -0.6% 0.5% 1.0% -5.2% -0.9% -13.2% -0.2% 0.5% 0.1% 0.1%127 1.0% 1.0% 0.5% -0.1% 0.9% 0.3% 0.1% 0.8% 0.6% 0.7% 0.2% 0.1% 0.0% 0.4% 0.1% 0.1% 0.1% 0.2% 0.1% -0.1% 0.1% 1.2% 1.2% -1.0% -2.7% -3.4% -8.5% 0.4% 0.1% 0.1%128 1.1% 1.9% 0.4% -0.3% 0.7% 0.9% -0.8% 0.3% 1.4% 1.1% -0.3% -2.7% -0.8% -0.1% 0.1% -0.1% 0.1% -3.6% -1.8% 0.3% 0.4% 0.0% 0.1% 0.1% 0.1% 0.1% 0.1% -1.5% -0.1% 0.4%129 1.6% 3.0% 1.8% 0.1% 0.9% 0.6% 1.2% 0.6% 0.6% 1.1% 0.4% 0.8% 1.0% 0.6% -1.2% 0.2% -2.0% 1.0% 0.7% 0.3% 0.3% 0.2% 0.1% 0.1% 0.1% 0.2% 0.1% 1.6% 2.1% -2.0%130 1.2% 2.9% 1.0% 0.1% 1.1% 0.5% 0.8% 0.0% 0.2% 0.7% 0.2% 0.5% 1.3% 0.8% -1.5% 0.4% 0.4% 0.7% 1.0% 0.3% 0.0% 0.2% 0.2% 0.1% 0.1% 0.2% 0.1% 0.8% -1.8% -10.9%

Page 7: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

7MAG Model vs. CTPP 5-year Estimates

Page 8: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

8

Left Chart – Origin District

Right Chart – Destination District

MAG TDM matches CTPP data in percentage of trips (district 4 and 5 and overall)

1 2 3 4 5 6 7 8 9 10 11 120%

10%

20%

30%

40%

50%

60%

Proportional Distribution of Commuter Trips from District 4

2006-2010 CTPP Data 2011 MAG Model Run

1 2 3 4 5 6 7 8 9 10 11 120%

10%

20%

30%

40%

50%

60%

Proportional Distribution of Commuter Trips to District 4

2006-2010 CTPP Data 2011 MAG Model Run

1 2 3 4 5 6 7 8 9 10 11 120%

10%

20%

30%

40%

50%

60%

Proportional Distribution of Commuter Trips from District 5

2006-2010 CTPP Data 2011 MAG Model Run

1 2 3 4 5 6 7 8 9 10 11 120%

10%

20%

30%

40%

50%

60%

Proportional Distribution of Commuter Trips to District 5

2006-2010 CTPP Data 2011 MAG Model Run

MAG Model vs. CTPP 5-year Estimates

Page 9: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

9

AM Trips going to Phoenix downtown (101 and 102) AirSage (Green) vs. TDM (Red)

PM Trips leaving downtown (101 and 102) AirSage (Green) vs. TDM (Red)

Page 10: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

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AM Trips going to North Phoenix (128) AirSage (Green) vs. TDM (Red)

PM Trips leaving North Phoenix (128)AirSage (Green) vs. TDM (Red)

Page 11: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

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AM Trips going to Tempe (ASU) (108) AirSage (Green) vs. TDM (Red)

PM Trips leaving Tempe (ASU) (108)AirSage (Green) vs. TDM (Red)

Page 12: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

12Trip Length Distribution

AirSage

Model

Page 13: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

13Screenline Comparisons

E to W - SL1 W to E - SL1 E to W - SL2 W to E - SL2 -

20,000

40,000

60,000

80,000

100,000

63,703

88,196

31,875

74,091

52,442

74,868

28,486

55,409

PM

AirSage Veh Trips Model Veh Trips

E to W - SL1 W to E - SL1 E to W - SL2 W to E - SL2 -

10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000 90,000

77,573 66,721

51,660 40,886

63,759 61,425

42,046 38,352

MD

AirSage Veh Trips Model Veh Trips

W to E

E to W

W to E

E to W

Screenline 1 (Salt river)

Screenline 2 (43rd Ave)

ScreenLine Analysis Model vs. Count

ScreenLine Name

Screenline 1

Screenline 2

E to W 4% 5%

W to E 0% 8%

Page 14: Understanding Cellular-based Travel Data Experience from Phoenix Metropolitan Region Wang Zhang, Maricopa Association of Governments Arun Kuppam (Presenter),

14Conclusions

(1) The daily total trips matched well between AirSage and the validated travel demand model; while the number of trips by peak period varied in different parts of the region;

(2) The number of trips by zones were close enough in AirSage and the model; MAG model validates well against CTPP, traffic count, and speed data per previous study.

(3) The intrazonal differences are pretty significant; The AirSage data seem to capture a very low number of short-distance trips compared to the model.

(4) Screenline comparison showed a good match between two, while the AirSage data was consistently higher in each peak periods.

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Questions and Comments?

Wang Zhang (MAG): [email protected]

Arun Kuppam(Cambridge Systematics): [email protected]