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Memorandum

To Shi-Chiang Li, Hui Zhao (FDOT D4) Pages 29

CC Scott Seeburger (FDOT D4), David Schmitt (CTG)

Subject Southeast STOPS Planning Model – Calibration Memo

From Sujith Rapolu and Ashutosh Kumar (CTG), Hongbo Chi (AECOM) May 31st, 2016 (minor updates: July 19th, 2016 nd Date and November 22 , 2016)

AECOM and Connetics Transportation Group (CTG) were asked by the Florida Department of Transportation (FDOT) District 4 to develop a STOPS (Simplified Trips on Project Software) planning model for the tri-county region of Southeast Florida. The latest version of the Southeast Florida Regional Planning Model (SERPM) version 7 is not informed of transit rider travel patterns in some aspects to be reliably used for project-level ridership forecasting. Thus, the Southeast Florida (SEFL) STOPS Planning Model is implemented to supplement the need for ridership forecasts for transit projects.

This memorandum summarizes the calibration results for the SEFL STOPS Planning model. The document describes the various inputs and parameters in STOPS, followed by the calibration results for all the major transit agencies in the tri-county region. A comparison with the results from SERPM 7 and SERPM 6.7.3 is included in the Appendix. A separate user guide has been developed which contains instructions on how to apply this model for a specific fixed-guideway transit project.

STOPS Inputs and Parameters

STOPS is a limited implementation of the conventional “4-step” travel demand model. It is a tool developed by the Federal Transit Administration (FTA) to quantify the measures used by FTA to evaluate and rate New Starts and Small Starts projects.

STOPS Version The modeling team used the beta version of STOPS 2.00 (build date: 02/19/2016) for implementing the plannning model for Southeast Florida. This version of STOPS is still in development and is expected to be officially released by FTA soon. The major difference between this version and the official version 1.50 is that the 2006-2010 American Community Survey (ACS) data is included for analysis in addition to the 2000 CTPP data being used in version 1.50. The regional model takes advantage of the ACS data.

1 Definition of Current Year All the results presented in this memo are for the ‘current year’. The current year is defined as the most recent year for which input data is available. Since a recent rider survey was not available on all the agencies being modeled, for the regional model, the current year represents year 2015 in terms of population and employment data. The auto skims used in STOPS are from the 2010 Southeast Florida Regional Planning Model (SERPM) version 7.061. All the transit routes in the tri-county region are from the year 2015. The ridership data, such as the regional transit boardings, and stop level Automatic Passenger Counter (APC) data are also from the year 2015. Hence, the year 2015 is referred to as the “current year” for the SEFL STOPS Planning model.

Transit Network STOPS uses the General Transit Feed Specification (GTFS) format to represent the transit service. The SEFL STOPS Planning model includes the 2015 year GTFS data for - Dade Transit (MDT), (BCT) and Regional Transportation Authority (SFRTA) and 2013 year GTFS data for . These files represent the “existing scenario” in STOPS. There were no significant changes between 2013 and 2015 on Palm Tran routes and hence a newer GTFS file would have very little impact on the results presented here. The GTFS data has scheduled time-tables for Tri-Rail, Metrorail, in downtown Miami, Miami International people mover and all local, limited stop and express buses operated by the three bus agencies, including the I-95 and I-595 express buses. The GTFS data does not include Tri-Rail shuttles, BCT community buses and any other buses/trolleys operated by the cities. The ridership on these routes is not very significant in comparison to the overall regional transit ridership and hence the lack of these routes in the SEFL STOPS Planning model will not affect the calibration results. In addition, the calibration targets excluded ridership on these shuttles.

MPO Auto Skims STOPS uses zone-to-zone current year peak period automobile travel times from the regional travel demand forecasting model. The modeling team obtained these skims from the 2010 year SERPM 7.061 model. The demographic and highway network changes between 2010 and 2015 are not that significant to have any meaningful impact at the regional level on the findings presented in this document.

MPO Population and Employment Data The modeling team obtained the 2015 MPO population and employment data from SERPM 7.061 by interpolating the 2010 and 2040 Long Rang Transportation Plan (LRTP) data. In addition to the current year data, STOPS v2.00 also requires 2008 year data. The modeling team used the 2010 MPO data as a proxy for the 2008 CTPP-year data. While applying any travel demand model, including the SEFL STOPS Planning model, users should always verify the existing and future land use assumptions in their corridors.

District System STOPS uses districts to define a logical grouping of Census TAZs around the transportation corridors. Among other purposes, district definitions are also used for : 1) Growth factoring of the 2006-2010 ACS trips to estimate current and forecast year trips using MPO population and employment, and 2) summarizing and mapping STOPS model output. Figure 2 1 shows the district definitions used for the SEFL STOPS Planning model. These districts in STOPS are user-defined and are project-specific. Users should follow the guidelines mentioned in the STOPS user guide.

Figure 1: Districts Definitions for the SEFL STOPS Planning Model 3 Region-wide Boardings STOPS requires the user to input current year regional weekday transit boardings. Table 1 shows the average weekday boardings used in the model.

Table 1: Average Weekday Region-wide Ridership Average Availability Weekday Source of stop Unlinked Trips level data?

Palm Tran 39,025 October 2014 and February 2015 APC data Yes

BCT monthly ridership reports. Average of 12 BCT 117,893 No months in 2015 is used. September to November, 3 month 2015 APC data. This data is scaled to the corresponding 3 month MDT buses 222,184 Yes average bus ridership obtained from the MDT monthly ridership reports. Metrorail 76,664 MDT monthly ridership reports. Average for Yes September to November 2015 is used to be Metromover 34,616 consistent with the APC data for the buses. Yes

SFRTA’s monthly operations reports. Average for Tri-Rail 13,757 April-December 2015 is used to be consistent with Yes the reopening of the MIA station in April 2015. Region-wide 504,119

Stop level ridership was available for all agencies except for BCT and the MIA people mover.

Regional Linked Transit Trips STOPS also has the ability to calibrate to regional linked transit trips by trip purpose (HBW, HBO, NHB) and market segment (0-car, 1-car, 2+car households). The model doesn’t use regional linked transit trips targets because the survey data wasn’t readily available and as a result, the default STOPS parameters are used.

Park-and-Ride (PNR) Locations In addition to the stop-level APC data, the modeling team also coded all PNR locations in the tri-county region. The PNR locations are listed in Appendix C.

Station Groups Station groups are a key element of the STOPS internal calibration process. These groups are used for reporting and for aggregations for station-level calibration. The modeling team defined various groups for all the fixed guideway stations and bus stops in the region. The groups are summarized below: · 4 groups for all Tri-Rail stations · 7 groups for all Metrorail stations · 3 groups for Metromover stations

4 · Groups for bus stops with APC data generally align with the district definitions. All bus stops in a given district are coded with the same station group. o 6 groups for Palm Tran bus stops o 11 groups for MDT bus stops, including a separate group for all stops used by the busway routes o There is no stop level data for BCT, and hence no groups have been defined for BCT bus stops

The station group calibration in STOPS was set to ‘09- Full Group Calibration’ because a comprehensive stop level database was available on stops covering 80% of the region-wide ridership.

SEFL STOPS Planning Model Calibration

The model is calibrated for the year 2015. STOPS currently has a limit of 10,000 stations (or bus stops) with counts that can be used for station group calibration. This limit is exceeded when both MDT and Palm Tran bus stops are included. Given the magnitude of boardings on the MDT system in comparison to Palm Tran, only the APC data for MDT is used for calibration purposes in the regional model. The User Guide details the scenarios under which the Palm Tran APC data will be used for calibration. All the calibration results presented in this memo use MDT stop level APC data, in addition to all the fixed guideway station level data. Even without the APC data for Palm Tran, STOPS is able to estimate the boardings on Palm Tran routes reasonably well.

Regional Transit Trip Estimates For the existing scenario, STOPS estimates 468,540 region-wide transit boardings. Since the observed boarding is set to 506,046, a regional calibration factor of 1.08 is applied. After this adjustment is done, STOPS estimates 503,202 region-wide boardings and 331,941 linked trips. The region-wide boardings estimate is not exactly equal to the observed boardings target because STOPS also has to calibrate the stop level APC data, resulting in some deviation from the target boardings.

Table 2 shows a comparison of the observed and estimated transit boardings.

5 Table 2: Observed vs. Estimated Region-wide Transit Boardings Boardings Transit Mode Observed Estimated Delta Tri-Rail 13,757 14,141 384 3% Palm Tran 39,025 41,134 2,109 5% BCT Local/Breeze Bus 115,496 123,251 7,755 7% BCT I-95 and I-595 Express 2,377 2,197 (180) -8% BCT Subtotal 117,873 125,448 7,575 6% MDT Local/Express Bus 198,661 187,944 (10,717) -5% MDT KAT/MAX 20,231 34,717 14,468 72% MDT 95X (Golden Glades I-95 Express) 2,119 5,169 3,050 144% MDT 95E (Inter-County I-95 Express) 1,173 1,316 143 12% Metromover (Downtown Miami) 34,616 18,455 (16,161) -47% Metrorail 76,664 72,665 (3,999) -5% MDT Subtotal 333,464 322,473 (10,991) -3% Regional Total 504,119 503,196 (923) 0%

At the aggregate level, the estimated boardings from STOPS are very close to the observed boardings, except for Metromover and the MDT 95X buses. The results significantly improve on Metromover and MDT 95X buses when the model is run only for Miami-Dade County. The estimated boardings on the rail modes (Tri-Rail and Metrorail) and also the local buses are very close to the observed boardings. But, STOPS over-estimates boardings on limited stop and express buses.

Tri-Rail Calibration Results The modeling team developed different sets of station groups to calibrate the station level boardings on Tri-Rail. STOPS also provides the capability of defining the catchment area of PNR stations by changing the PNR type associated with that station. A PNR type equal to 1 attracts trips up to 25 miles away. Similarly PNR types of 2, 3 and 4 respectively attract trips up to 10, 6 and 3 miles away. A PNR type ‘0’ means there is no parking available at the station. The PNR types are based on the availability of parking at these stations and the average access distance of riders parking at these stations from the on-board survey.

Table 3 shows a comparison of station level boardings on Tri-Rail. The station groups and PNR types are also shown in the table. The stations are broadly divided into groups depending on the county in which they are located. TRL-1 group has all the Palm Beach County stations, TRL-2 has all the Broward County stations and TRL-3 has the Miami-Dade County stations except the Metrorail transfer station, which is given a separate TRL-4 group.

6 Table 3: Observed vs. Estimated Station Level Weekday Boardings on Tri-Rail Boardings PNR Station Group Tri-Rail Station Observed Estimated Delta Delta % Type Group Name Mangonia Park 777 837 60 8% 1 1 TRL-1 West Palm Beach 1,108 1,116 8 1% 2 1 TRL-1 Lake Worth 877 746 (131) -15% 2 1 TRL-1 Boynton Beach 667 644 (23) -3% 2 1 TRL-1 Delray Beach 616 1,043 427 69% 2 1 TRL-1 Boca Raton 1,188 747 (441) -37% 2 1 TRL-1 Deerfield Beach 688 609 (79) -11% 2 2 TRL-2 Pompano Beach 744 792 48 6% 2 2 TRL-2 Cypress Creek 1,050 1,291 241 23% 2 2 TRL-2 Fort Lauderdale 880 1,001 121 14% 2 2 TRL-2 Fort Lauderdale Airport 871 671 (200) -23% 2 2 TRL-2 Sheridan Street 408 437 29 7% 2 2 TRL-2 Hollywood 675 669 (6) -1% 2 2 TRL-2 Golden Glades 596 979 383 64% 2 3 TRL-3 Opa-Locka 306 578 272 89% 2 3 TRL-3 Metrorail transfer 1,238 1,268 30 2% 3 4 TRL-4 Hialeah Market 265 258 (7) -3% 2 3 TRL-3 Miami International Airport 803 456 (347) -43% 2 3 TRL-3 Total 13,757 14,142 385 3%

The overall boardings on Tri-Rail as well as station-level boardings are within reasonable limits of the observed boardings. An additional walk access penalty (WALK_PEN) of 10 minutes is added to all the Tri-Rail station to account for the difficulty of accessing these stations by walk.

During the calibration process, STOPS uses scaling factors at the station group level to match the estimated existing boardings with the observed boardings. The goal is to have a modest calibration factor in the range of 0.7 to 1.3.

Table 4 shows the scaling factors applied by STOPS for Tri-Rail station groups. The factors in general are reasonable.

7 Table 4: Tri-Rail Station Group Boardings Prior to Adjustment and Calibration Factors Destination Group Total Origin Group TRL-1 TRL-2 TRL-3 TRL-4 2,007 1,042 123 241 3,413 TRL-1 (1.75) (1.21) (1.08) (1.39) (1.54) 1,042 3,439 960 454 5,895 TRL-2 (1.21) (0.84) (0.75) (0.97) (0.90) 123 960 963 536 2,582 TRL-3 (1.08) (0.75) (0.67) (0.87) (0.76) 241 454 536 0 12,31 TRL-4 (1.39) (0.97) (0.87) (1.00) (1.01) 3,413 5,895 2,582 1,231 13,121 Total (1.54) (0.90) (0.76) (1.01) (1.05) Note: Values in the parenthesis are the STOPS calibration adjustment factors

Table 5 shows a detailed comparison of boardings on Tri-Rail by trip purpose, access mode and car ownership. The observed numbers are from the 2013 Tri-Rail survey. The results are generally close to the observed values, with a slight over-estimation of walk access trips. Work trips are also slightly over-estimated.

Table 5: Tri-Rail Boardings Comparison by Purpose, Access Mode and Car Ownership Observed (2013) Estimated (2015) Tri-rail Boardings (no Access Mode Access Mode school trips) Total Total % Total Total % Purpose WALK PNR KNR WALK PNR KNR HBW 2,131 3,233 1,673 7,037 65% 4,430 4,265 1,998 10,692 76% HBO 494 289 483 1,266 12% 1,675 511 507 2,692 19% NHB 1,275 477 743 2,495 23% 470 131 158 758 5% Total 3,900 3,999 2,899 10,798 100% 6,574 4,907 2,662 14,142 100% 36% 37% 27% 100% 46% 35% 19% 100%

Tri-rail Boardings Access Mode Access Mode Total Total % Total Total % Car Ownership WALK PNR KNR WALK PNR KNR 0-Car 1,150 9 328 1,487 10% 1,921 72 341 2,334 17% 1+Car 3,609 4,801 4,404 12,814 90% 4,656 4,834 2,319 11,809 83% Total 4,759 4,810 4,732 14,301 100% 6,576 4,907 2,661 14,142 100% 33% 34% 33% 100% 46% 35% 19% 100% Note: Observed Tri-Rail boardings by purpose do not include school and university trips.

8 Metrorail Calibration Results The modeling team developed different sets of station groups to calibrate the station level boardings on Metrorail. Table 6 shows a comparison of station level boardings on Metrorail. The final set of station groups and PNR types are also shown in the table. The stations are broadly classified depending on the availability of parking and the location of the station. MR-5, MR-6 and MR-7 groups have all the PNR stations on the western end of the line (including the Tri-Rail transfer and MIA stations), MR-8 group has stations around Civic Center area and MR-9 group has the stations in and around downtown Miami and with no parking. MR-10 and MR-11 groups have the PNR stations on the southern end of the line, with MR-11 group consisting of the two stations which generally have the highest parking occupancy on the Metrorail system.

Table 6: Observed vs. Estimated Station Level Weekday Boardings on Metrorail Boardings PNR Station Group Metrorail Station Observed Estimated Delta Delta % Type Group Name Palmetto 1,542 1,268 (274) -18% 2 5 MR-5 Okeechobee 1,438 1,668 230 16% 2 5 MR-5 Hialeah 1,866 1,600 (266) -14% 2 6 MR-6 Tri-Rail transfer 1,479 1,930 451 30% 0 7 MR-7 Northside 1,890 1,585 (305) -16% 2 7 MR-7 Dr. Martin Luther 1,658 1,353 (305) -18% 2 7 MR-7 King Jr. Plaza Brownsville 1,197 875 (322) -27% 2 8 MR-8 Earlington Heights 2,045 2,167 122 6% 2 8 MR-8 Allapattah 2,280 2,504 224 10% 2 8 MR-8 Santa Clara 936 2,072 1,136 121% 2 8 MR-8 Civic Center 6,486 5,284 (1,202) -19% 0 8 MR-8 Culmer 1,635 1,805 170 10% 0 8 MR-8 Historic Overtown 2,165 2,898 733 34% 0 9 MR-9 Government Center 12,556 11,185 (1,371) -11% 0 9 MR-9 Brickell 6,703 6,097 (606) -9% 0 9 MR-9 Vizcaya 1,548 1,824 276 18% 2 10 MR-10 2,121 2,995 874 41% 2 10 MR-10 4,351 3,904 (447) -10% 2 10 MR-10 University 2,381 2,555 174 7% 2 10 MR-10 South Miami 3,790 2,248 (1,542) -41% 2 10 MR-10 Dadeland North 7,102 6,528 (574) -8% 2 11 MR-11 Dadeland South 7,675 6,983 (692) -9% 2 11 MR-11 Miami International 1,821 1,338 (483) -27% 0 5 MR-5 Airport Total 76,665 72,666 (3,999) -5%

9 The overall boardings on Metrorail as well as station-level boardings are within reasonable limits of the observed boardings at most stations, particularly at the three major stations in downtown Miami area – Civic Center, Miami Government Center and Brickell. An additional PNR shadow cost (utilizing PNRCost in PnR.txt file) of 0.1 minutes is added at the Dadeland North station to move some PNR trips to the Dadeland South station. It should be noted that STOPS was very sensitive to this penalty at this location, and hence a value of less than 1.0 minute was used.

Table 7 shows the scaling factors applied by STOPS for Metrorail station groups. The factors in general are reasonable.

Table 7: Metrorail Station Group Boardings Prior to Adjustment and Calibration Factors Destination Group Total Origin Group MR-5 MR-6 MR-7 MR-8 MR-9 MR-10 MR-11 447 420 930 1,455 716 346 490 4,804 MR-5 (0.96) (1.00) (1.01) (0.91) (1.21) (0.90) (1.02) (1.00) 420 - 401 379 330 140 103 1,773 MR-6 (1.00) (1.05) (1.06) (0.95) (1.27) (0.94) (1.06) (1.05) 930 401 447 1,238 958 338 412 4,724 MR-7 (1.01) (1.06) (1.07) (0.96) (1.28) (0.95) (1.08) (1.06) 1,455 379 1,238 3,257 3,440 2,384 2,987 15,140 MR-8 (0.91) (0.95) (0.96) (0.87) (1.15) (0.85) (0.97) (0.96) 716 330 958 3,440 750 5,687 5,734 17,615 MR-9 (1.21) (1.27) (1.28) (1.15) (1.53) (1.13) (1.29) (1.22) 346 140 338 2,384 5,687 2,560 2,963 14,418 MR-10 (0.90) (0.94) (0.95) (0.85) (1.13) (0.84) (0.95) (0.98) 490 103 412 2,987 5,734 2,963 594 13,283 MR-11 (1.02) (1.06) (1.08) (0.97) (1.29) (0.95) (1.08) (1.11) 4,804 1,773 4,724 15,140 17,615 14,418 13,283 71,757 Total (1.00) (1.05) (1.06) (0.96) (1.22) (0.98) (1.11) (1.07) Note: Values in the parenthesis are the STOPS calibration adjustment factors

Table 8 shows a detailed comparison of boardings on Metrorail by trip purpose, access mode and car ownership. The observed numbers are from the 2009 survey, scaled to the 2013 Metrorail ridership. The results are generally close to the observed values.

10 Table 8: Metrorail Boardings Comparison by Purpose, Access Mode and Car Ownership Observed (2013) Estimated (2015) Metro-rail Boardings Access Mode Access Mode Total Total % Total Total % Purpose WALK PNR KNR WALK PNR KNR HBW 19,046 19,142 5,124 43,312 69% 22,849 13,987 3,755 40,591 56% HBO 9,722 1,092 1,374 12,187 19% 19,697 3,449 2,021 25,166 35% NHB 6,003 1,056 519 7,578 12% 5,409 868 629 6,906 10% Total 34,771 21,290 7,016 63,077 100% 47,955 18,304 6,404 72,662 100% 55% 34% 11% 100% 66% 25% 9% 100%

Metro-rail Boardings Access Mode Access Mode Total Total % Total Total % Car Ownership WALK PNR KNR WALK PNR KNR 0-Car 8,396 177 307 8,880 14% 15,050 234 830 16,114 22% 1+Car 26,375 21,113 6,709 54,197 86% 32,906 18,067 5,574 56,547 78% Total 34,771 21,290 7,016 63,077 100% 47,956 18,301 6,404 72,661 100% 55% 34% 11% 100% 66% 25% 9% 100%

Metromover Calibration Results The modeling team developed three sets of station groups to calibrate the station level boardings on Metromover. Table 9 shows a comparison of station level boardings on Metromover. The final set of station groups are also shown in the table. The model run that includes all three counties estimates 47% lower boardings on the Metromover compared to the observed boardings. But when the model is run only for Miami-Dade County, the estimated results are very close to the observed boardings. This is mainly because Miami- Dade only run includes the representation of free fare on Metromover in STOPS (using time penalties). The user should carefully select the geography to model keeping the difference in Metromover boardings in mind.

Table 9: Observed vs. Estimated Station Level Weekday Boardings on Metromover Station Level Boardings Three-County Model Miami-Dade Only Group Metro-Mover Station Observed Run Model Run Name Estimated Delta Estimated Delta School Board 737 1,106 369 1,351 614 MOV-14 Omni 2,465 1,788 (677) 2,780 315 MOV-14 233 504 271 549 316 MOV-12 Eleventh Street 276 3 (273) 285 9 MOV-12 391 307 (84) 442 51 MOV-12 Freedom Tower 664 676 12 655 (9) MOV-12 College/Bayside 2,424 318 (2,106) 311 (2,113) MOV-12 First Street 1,733 357 (1,376) 774 (959) MOV-12 3,298 1,303 (1,995) 1,889 (1,409) MOV-12 Knight Center 1,033 1,548 515 1,561 528 MOV-12 Third Street 318 343 25 767 449 MOV-12 792 206 (586) 632 (160) MOV-12 Government Center 9,109 2,994 (6,115) 7,042 (2,067) MOV-13 Wilkie D. Ferguson, Jr. 829 665 (164) 2,117 1,288 MOV-12

11 College North 1,541 1,730 189 2,400 859 MOV-12 Riverwalk 900 618 (282) 762 (138) MOV-12 Fifth Street 616 646 30 727 111 MOV-12 Eighth Street 835 349 (486) 765 (70) MOV-12 Tenth Street/Promenade 1,530 1,905 375 2,630 1,100 MOV-12 Brickell 3,367 586 (2,781) 1,743 (1,624) MOV-12 Financial District 1,526 503 (1,023) 767 (759) MOV-12 Metromover 34,617 18,455 (16,162) 30,949 (3,668) (Downtown Miami)

Palm Tran Calibration Results To calibrate local bus ridership, the modeling team grouped bus stops depending on the district (Figure 1) in which the stops fall. All bus stops in a given district are coded with the same station group. Table 10 shows a comparison of boardings on Palm Tran by stop group.

Table 10: Observed vs. Estimated Stop Group Boardings on Palm Tran Stop Boardings Stop Group Name Group # Observed Estimated Delta Delta % 21 Palm Beach CBD 594 682 88 15% 22 Palm Beach Jupiter 2,830 2,880 50 2% 23 Palm Beach Fringe 6,979 7,035 56 1% 24 Palm Beach East 8,068 8,023 (45) -1% 25 Palm Beach West 16,270 16,407 137 1% 26 Palm Beach Others 2,623 2,779 156 6% 27 Palm Beach Pahokee 1,702 1,694 (8) 0% 28 Broward Pompano Beach 26 26 - 0% Total 39,092 39,526 434 1%

The estimated boardings at the stop group level are very similar to the observed boardings. As mentioned previously, it should be noted that the SEFL STOPS Planning model does not include the stop level APC data available for Palm Tran because of the numerical limitation on the number of stops that can be included for calibration in STOPS.

Table 11 shows a detailed comparison of linked trips on Palm Tran by trip purpose, access mode and car ownership. The results show that STOPS slightly under-estimates the zero- car and walk access markets on Palm Tran.

12 Table 11: Palm Tran Linked Trips Comparison by purpose, access mode and car ownership Observed (2013) Estimated (2015) PalmTran Linked Trips Access Mode Access Mode Total Total % Total Total % Purpose WALK PNR KNR WALK PNR KNR HBW 11,535 183 679 12,397 37% 11,403 1,846 1,290 14,539 45% HBO 14,108 102 844 15,054 44% 12,563 438 796 13,797 43% NHB 5,885 86 504 6,475 19% 3,378 125 267 3,770 12% Total 31,527 371 2,027 33,926 100% 27,344 2,409 2,353 32,105 100% 93% 1% 6% 100% 85% 8% 7% 100%

PalmTran Linked Trips Access Mode Access Mode Total Total % Total Total % Car Ownership WALK PNR KNR WALK PNR KNR 0-Car 14,811 20 461 15,292 45% 10,075 65 394 10,533 33% 1+Car 16,717 352 1,567 18,636 55% 17,269 2,347 1,961 21,576 67% Total 31,527 371 2,027 33,926 100% 27,344 2,412 2,354 32,109 100% 93% 1% 6% 100% 85% 8% 7% 100%

The route level boarding comparison table is included in Appendix B.

MDT Calibration Results Table 12 shows a comparison of boardings on MDT by stop group. The estimated boardings at the stop group level are very similar to the observed boardings.

Table 12: Observed vs. Estimated Stop Group Boardings on MDT Stop Boardings Stop Group Name Group # Observed Estimated Delta Delta % 41-43 Broward County 840 826 (14) -2% 44 Miami-Dade CBD 20,820 23,503 2,683 13% 45 Miami-Dade NE 34,172 33,916 (256) -1% 46 Miami-Dade Fringe 38,978 38,199 (779) -2% 47 Miami-Dade Beach 23,693 26,182 2,489 11% 48 Miami-Dade Gardens 15,355 15,658 303 2% 49 Miami-Dade Others-North 18,793 20,014 1,221 7% 50 Miami-Dade Others-Middle 20,493 21,464 971 5% 51 Miami-Dade Others-South 10,282 10,880 598 6% 52 Miami-Dade-NW 26,104 25,059 (1,045) -4% 54 Miami-Dade-Busway Group 13,183 13,387 204 2% 53 Miami-Dade Externals 1,017 - (1017) -100% Total 223,730 229,088 5,358 2%

Table 13 shows a comparison of boardings on MDT corridors with local and limited stop routes. The results show that although the corridor level boarding estimates are close to the observed values, STOPS does not accurately estimate the split between local and limited stop buses when they operate within the same roadway. This is an important observation to keep in mind, especially when modeling alternatives like a Bus Rapid Transit (BRT) on these corridors. In these cases, the stops for limited stop buses should be coded separately from the local stops and calibrated to get the correct split. In addition, it is recommended that the

13 districts (and the corresponding stop groupings) along these corridors be tightly defined if the project under consideration lies along these roadways.

Table 13: Observed vs. Estimated Boardings on MDT Corridors with Local and MAX (Limited Stop) Buses Boardings Corridor Name Route Observed Estimated Delta Delta % 3 7,112 4,921 (2,191) -31% Biscayne Boulevard 93 (Biscayne MAX) 3,761 9,954 6,193 165% Corridor Total 10,873 14,875 4,002 37% 27 8,874 5,826 (3,048) -34% NW 27th Avenue 297 (27th Avenue Orange MAX) 1,981 3,810 1,829 92% Corridor Total 10,855 9,636 (1,219) -11% 11 11,363 4,411 (6,952) -61% 51 (Flagler MAX) 3,260 5,045 1,785 55% Corridor Total 14,623 9,456 (5,167) -35% 119 11,033 8,823 (2,210) -20% Beach 120 (Beach Max) 7,033 9,712 2,679 38% Corridor Total 18,066 18,535 469 3% 77 10,803 11,072 269 3% NW 7th Avenue 277 (NW 7th Avenue MAX) 979 2,339 1,360 139% Corridor Total 11,783 13,411 1,628 14% 72 1,052 1,384 332 32% 272 (Sunset KAT) 577 932 355 62% Corridor Total 1,629 2,316 687 42% 88 2,554 1,572 (982) -38% 288 (Kendall Cruiser) 1,046 1,510 464 44% Corridor Total 3,600 3,082 (518) -14%

Table 14 shows a detailed comparison of linked trips on MDT buses by trip purpose, access mode and car ownership. The results are generally close to the corresponding values from SERPM 6.7.

14 Table 14: MDT Linked Trips Comparison by purpose, access mode and car ownership Observed (2013) Estimated (2015) MDT Linked Trips Access Mode Access Mode Total Total % Total Total % Purpose WALK PNR KNR WALK PNR KNR HBW 65,728 1,715 4,074 71,517 39% 62,111 8,753 4,710 75,573 46% HBO 66,987 2,343 3,485 72,815 40% 64,452 2,008 3,195 69,655 42% NHB 35,083 1,414 1,561 38,057 21% 17,011 591 1,230 18,832 11% Total 167,798 5,472 9,119 182,389 100% 143,574 11,351 9,134 164,059 100% 92% 3% 5% 100% 88% 7% 6% 100%

MDT Linked Trips Access Mode Access Mode Total Total % Total Total % Car Ownership WALK PNR KNR WALK PNR KNR 0-Car 63,842 877 3,968 68,687 38% 60,806 443 2,214 63,463 39% 1+Car 103,956 4,595 5,152 113,703 62% 82,767 10,907 6,920 100,593 61% Total 167,798 5,472 9,120 182,390 100% 143,573 11,350 9,134 164,056 100% 92% 3% 5% 100% 88% 7% 6% 100% Note: MDT observed numbers are SERPM 6.7 estimates since no readily available transit survey was available for MDT routes.

The route level boarding comparison table is included in Appendix B.

BCT Calibration Results As mentioned previously, stop level data was not available for BCT. Hence the calibration was restricted to the overall boardings on the entire BCT system.

Table 15 shows a detailed comparison of linked trips on BCT by trip purpose, access mode and car ownership. The results show that STOPS slightly under-estimates the zero-car market on BCT.

Table 15: BCT Linked Trips Comparison by purpose, access mode and car ownership Observed (2013) Estimated (2015) BCT Linked Trips Access Mode Access Mode Total Total % Total Total % Purpose WALK PNR KNR WALK PNR KNR HBW 32,357 1,645 1,787 35,788 44% 31,435 4,343 2,679 38,457 45% HBO 28,218 1,644 1,769 31,631 39% 34,935 1,134 1,891 37,960 44% NHB 12,416 799 479 13,694 17% 8,131 301 637 9,069 11% Total 72,991 4,087 4,035 81,113 100% 74,501 5,778 5,207 85,486 100% 90% 5% 5% 100% 87% 7% 6% 100%

BCT Linked Trips Access Mode Access Mode Total Total % Total Total % Car Ownership WALK PNR KNR WALK PNR KNR 0-Car 35,287 752 2,183 38,222 47% 25,296 174 1,032 26,502 31% 1+Car 37,704 3,337 1,853 42,893 53% 49,201 5,604 4,174 58,979 69% Total 72,991 4,088 4,036 81,115 100% 74,497 5,778 5,206 85,481 100% 90% 5% 5% 100% 87% 7% 6% 100%

The route level boarding comparison table is included in Appendix B.

Comparison with SERPM 7 and SERPM 6.7.3 In order to get a better sense on how well STOPS is performing in comparison to the locally developed regional travel models, the modeling team also compared the STOPS estimates to estimates from SERPM 7 and SERPM 6.7.3. The detailed comparison tables are presented in Appendix A. The results show that STOPS estimates in general are 15 significantly better than estimates from SERPM 7 across various travel markets, and also are very close to the estimates from SERPM 6.7.3, which was a regionally calibrated model developed with a specific focus on the transit components. It should be noted that the SERPM 7 results shown in Appendix A are based on the version of model from early 2015.

Summary Overall, the SEFL STOPS Planning model is well calibrated and is able to reasonably estimate the size of various travel markets for both bus and rail services. One major concern the users need to keep in mind is that STOPS seems to be very sensitive to travel times in South Florida context. Hence, if the user is working on a project in a corridor with local and limited stop express buses, it is important that the user fine-tune the calibration to get reasonable boardings split between the local and limited stop services.

The model also performs better than SERPM 7, thereby serving the primary goal of the task work order to develop a regionally calibrated STOPS model which can be used to generate ridership forecasts on various fixed-guideway projects in the tri-county region, until the transit components of SERPM 7 are improved.

List of Appendices

Appendix A: Comparison of STOPS Estimates with SERPM 7 and SERPM 6.7.3 Appendix B: STOPS Route Level Boarding Estimates Appendix C: List of Park and Ride Locations

16 Appendix A: Comparison of SEFL STOPS Planning Model Estimates with SERPM 7 and SERPM 6.7.3

Table A-1: System-Wide Boardings Comparison (SERPM 7 vs. STOPS) SERPM 7 (2010) STOPS Model (2015) Mode Name Estimated Observed Estimated No. Observed Delta Delta% Delta Delta% 2010 2015 2015 111 Tri-Rail 12,200 13,016 816 7% 13,757 14,141 384 3% 191/192 Tri-Rail Shuttle 3,728 3,628 -100 -3% 0 0 0 NA 121 Metrorail 57,884 59,688 1,804 3% 76,664 72,665 -3,999 -5% 292 MDT Local Bus 189,726 316,867 127,141 67% 190,564 180,208 -10,356 -5% 251/242 MDT Express/KAT/MAX 26,876 31,872 4,996 19% 28,328 42,453 14,125 50% 252 MDT 95X 2,438 4,282 1,844 76% 2,119 5,169 3,050 144% 253 MDT 95E 1,240 2,032 792 64% 1,173 1,316 143 12% 281 Metromover 28,100 23,660 -4,440 -16% 34,616 20,662 -13,954 -40% 391/392 BCT Local Bus 115,524 157,083 41,559 36% 106,835 111,970 5,135 5% 351 BCT Breeze 3,740 8,836 5,096 136% 8,661 11,281 2,620 30% 151 BCT 95E 1,136 4,240 3,104 273% 2,377 2,197 -180 -8% 492 Palm Tran Local 33,939 80,224 46,285 136% 39,025 41,134 2,109 5% MDT Bus Total 220,280 355,053 134,773 61% 222,184 229,146 6,962 3% BCT Total 120,400 170,159 49,759 41% 117,873 125,448 7,575 6% Palm Tran Total 33,939 80,224 46,285 136% 39,025 41,134 2,109 5% Regional Total 476,531 705,428 228,897 48% 504,119 503,196 -923 0%

Table A-2: System-Wide Boardings Comparison (SERPM673 vs. STOPS) SERPM 673 (2013) STOPS Model (2015) Mode Name Estimated Observed Estimated No. Observed Delta Delta% Delta Delta% 2013 2015 2015 111 Tri-Rail 14,300 14,492 192 1% 13,757 14,141 384 3% 191/192 Tri-Rail Shuttle 0 6,673 6,673 NA 0 0 0 NA 121 Metrorail 71,500 65,724 -5,776 -8% 76,664 72,665 -3,999 -5% 292 MDT Local Bus 190,564 224,109 33,545 18% 190,564 180,208 -10,356 -5% 251/242 MDT Express/KAT/MAX 28,328 33,889 5,561 20% 28,328 42,453 14,125 50% 252 MDT 95X 2,119 2,953 834 39% 2,119 5,169 3,050 144% 253 MDT 95E 1,173 618 -555 -47% 1,173 1,316 143 12% 281 Metromover 30,800 10,277 -20,523 -67% 34,616 20,662 -13,954 -40% 391/392 BCT Local Bus 106,835 124,926 18,091 17% 106,835 111,970 5,135 5% 351 BCT Breeze 8,661 5,608 -3,053 -35% 8,661 11,281 2,620 30% 151 BCT 95E 2,377 2,302 -75 -3% 2,377 2,197 -180 -8% 492 Palm Tran Local 39,025 40,996 1,971 5% 39,025 41,134 2,109 5% MDT Bus Total 222,184 261,597 39,413 18% 222,184 229,146 6,962 3% BCT Total 117,873 132,836 14,963 13% 117,873 125,448 7,575 6% Palm Tran Total 39,025 40,996 1,971 5% 39,025 41,134 2,109 5% Regional Total 495,682 532,595 36,913 7% 504,119 503,196 -923 0%

17 Table A-3: Tri-Rail Boardings Comparison by Car Ownership SERPM 7 (2010) SERPM 673 (2013) STOPS (2015) Car # Observed Estimated Observed Estimated Observed Estimated 0-Car 640 840 1,361 3,011 1,310 2,334 1+Car 11,560 11,495 12,939 11,443 12,455 11,809 Total 12,200 12,335 14,300 14,454 13,765 14,143

Table A-4: Tri-Rail Boardings Percentage Comparison by Car Ownership SERPM 7 (2010) SERPM 673 (2013) STOPS (2015) Car # Observed Estimated Observed Estimated Observed Estimated 0-Car 5% 7% 10% 21% 10% 17% 1+Car 95% 93% 90% 79% 90% 83% Total 100% 100% 100% 100% 100% 100%

Table A-5: Tri-Rail Boardings Comparison by Trip Purpose SERPM 7 (2010) SERPM 673 (2013) STOPS (2015) Purpose Observed Estimated Observed Estimated Observed Estimated HBW 8,341 8,170 7,037 7,144 6,774 10,692 HBO 3,491 4,105 4,768 5,909 4,590 2,692 NHB 368 60 2495 1,401 2,402 758 Total 12,200 12,335 14,300 14,454 13,765 14,142

Table A-6: Tri-Rail Boardings Percentage Comparison by Trip Purpose SERPM 7 (2010) SERPM 672 (2013) STOPS (2015) Purpose Observed Estimated Observed Estimated Observed Estimated HBW 68% 66% 49% 49% 49% 76% HBO 29% 33% 33% 41% 33% 19% NHB 3% 0% 17% 10% 17% 5% Total 100% 100% 100% 100% 100% 100%

Table A-7: Tri-Rail Boardings Comparison by Access Mode SERPM 7 (2010) SERPM 673 (2013) STOPS (2015) Access Mode Observed Estimated Observed Estimated Observed Estimated Walk 2,464 3,275 4,759 3,904 4,581 6,574 PNR 6,093 6,060 4,809 5,593 4,629 4,907 KNR 3,643 3000 4,732 4,957 4,555 2,662 Total 12,200 12,335 14,300 14,454 13,765 14,143

Table A-8: Tri-Rail Boardings Percentage Comparison by Access Mode SERPM 7 (2010) SERPM 673 (2013) STOPS (2015) Access Mode Observed Estimated Observed Estimated Observed Estimated Walk 20% 27% 33% 27% 33% 46% PNR 50% 49% 34% 39% 34% 35% KNR 30% 24% 33% 34% 33% 19% Total 100% 100% 100% 100% 100% 100%

18 Table A-9: Metrorail Boardings Comparison by Car Ownership SERPM 7 (2010) SERPM 673 (2013) STOPS (2015) Car # Observed Estimated Observed Estimated Observed Estimated 0-Car 9,138 4,700 9,533 16,591 10,222 16,114 1+Car 48,746 48,900 61,967 48,859 66,443 56,547 Total 57,884 53,600 71,500 65,450 76,665 72,661 Table A-10: Metrorail Boardings Percentage Comparison by Car Ownership SERPM 7 (2010) SERPM 673 (2013) STOPS (2015) Car # Observed Estimated Observed Estimated Observed Estimated 0-Car 16% 9% 13% 25% 13% 22% 1+Car 84% 91% 87% 75% 87% 78% Total 100% 100% 100% 100% 100% 100%

Table A-11: Metrorail Boardings Comparison by Trip Purpose SERPM 7 (2010) SERPM 673 (2013) STOPS (2015) Purpose Observed Estimated Observed Estimated Observed Estimated HBW 35,064 34,675 43,312 38,941 46,441 40,591 HBO 16,685 18,320 20,610 16,859 22,099 25,166 NHB 6,135 605 7578 9,650 8,125 6,906 Total 57,884 53,600 71,500 65,450 76,665 72,662

Table A-12: Metrorail Boardings Percentage Comparison by Trip Purpose SERPM 7 (2010) SERPM 673 (2013) STOPS (2015) Purpose Observed Estimated Observed Estimated Observed Estimated HBW 61% 65% 61% 59% 61% 56% HBO 29% 34% 29% 26% 29% 35% NHB 11% 1% 11% 15% 11% 10% Total 100% 100% 100% 100% 100% 100%

Table A-13: Metrorail Boardings Comparison by Access Mode SERPM 7 (2010) SERPM 673 (2013) STOPS (2015) Access Mode Observed Estimated Observed Estimated Observed Estimated Walk 30,909 33,835 40,531 32,040 43,458 47,955 PNR 19,049 12,055 22,903 21,962 24,557 18,304 KNR 7,926 7,710 8,067 11,447 8,650 6,404 Total 57,884 53,600 71,501 65,450 76,665 72,663

Table A-14: Metrorail Boardings Percentage Comparison by Access Mode SERPM 7 (2010) SERPM 673 (2013) STOPS (2015) Access Mode Observed Estimated Observed Estimated Observed Estimated Walk 53% 63% 57% 49% 57% 66% PNR 33% 22% 32% 34% 32% 25% KNR 14% 14% 11% 17% 11% 9% Total 100% 100% 100% 100% 100% 100%

19 Table A-15: Palm Tran Linked Trip Comparison by Car Ownership SERPM 7.0 (2010) PT Car Ownership Observed Observed% Estimated Estimated% 0-Car 12,977 46% 5,833 13% 1+Car 15,365 54% 40,122 87% Total 28,342 100% 45,955 100% SERPM 673 (2013) PT Car Ownership Observed Observed% Estimated Estimated% 0-Car 15,291 45% 11,298 36% 1+Car 18,635 55% 19,736 64% Total 33,926 100% 31,034 100% STOPS Model (2015) PT Car Ownership Observed Observed% Estimated Estimated% 0-Car 15,291 45% 10,533 33% 1+Car 18,635 55% 21,576 67% Total 33,926 100% 32,109 100%

Table A-16: Palm Tran Linked Trip Comparison by Trip Purpose SERPM 7.0 (2010) PT Trip Purpose Observed Observed% Estimated Estimated% HBW 10,362 37% 19,370 42% HBO 12,556 44% 22,355 49% NHB 5,424 19% 4,230 9% Total 28,342 100% 45,955 100% SERPM 673 (2013) PT Trip Purpose Observed Observed% Estimated Estimated% HBW 12,397 37% 10,302 33% HBO 15,054 44% 14,625 47% NHB 6,475 19% 6,107 20% Total 33,926 100% 31,034 100% STOPS Model (2015) PT Trip Purpose Observed Observed% Estimated Estimated% HBW 12,397 37% 14,539 45% HBO 15,054 44% 13,797 43% NHB 6,475 19% 3,770 12% Total 33,926 100% 32,105 100%

Table A-17: Palm Tran Linked Trip Comparison by Access Mode SERPM 7.0 (2010) PT Access Mode Observed Observed% Estimated Estimated% Walk 26,259 93% 44,355 97% PNR 262 1% 1,130 2% KNR 1,821 6% 470 1% Total 28,342 100% 45,955 100% SERPM 673 (2013) PT Access Mode Observed Observed% Estimated Estimated% Walk 31,527 93% 28,196 91% PNR 371 1% 643 2% KNR 2,027 6% 2,195 7% Total 33,925 100% 31,034 100% STOPS Model (2015) PT Access Mode Observed Observed% Estimated Estimated% Walk 31,527 93% 27,344 85% PNR 371 1% 2,409 8% KNR 2,027 6% 2,353 7% Total 33,925 100% 32,106 100%

20 Table A-18: BCT Linked Trip Comparison by Car Ownership SERPM 7.0 (2010) BCT Car Ownership Observed Observed% Estimated Estimated% 0-Car 40,613 49% 7,745 8% 1+Car 42,422 51% 90,900 92% Total 83,035 100% 98,645 100% SERPM 673 (2013) BCT Car Ownership Observed Observed% Estimated Estimated% 0-Car 40,686 47% 29,278 33% 1+Car 45,658 53% 59,503 67% Total 86,344 100% 88,782 100% STOPS Model (2015) BCT Car Ownership Observed Observed% Estimated Estimated% 0-Car 40,686 47% 26,502 31% 1+Car 45,658 53% 58,978 69% Total 86,344 100% 85,480 100%

Table A-19: BCT Linked Trip Comparison by Trip Purpose SERPM 7.0 (2010) BCT Trip Purpose Observed Observed% Estimated Estimated% HBW 36,305 44% 41,960 43% HBO 32,767 39% 49,165 50% NHB 13,963 17% 7,520 8% Total 83,035 100% 98,645 100% SERPM 673 (2013) BCT Trip Purpose Observed Observed% Estimated Estimated% HBW 38,097 44% 37,645 42% HBO 33,670 39% 33,148 37% NHB 14,577 17% 17,989 20% Total 86,344 100% 88,782 100% STOPS Model (2015) BCT Trip Purpose Observed Observed% Estimated Estimated% HBW 38,097 44% 38,456 45% HBO 33,670 39% 37,959 44% NHB 14,577 17% 9,069 11% Total 86,344 100% 85,483 100%

Table A-20: BCT Linked Trip Comparison by Access Mode SERPM 7.0 (2010) BCT Access Mode Observed Observed% Estimated Estimated% Walk 73,907 89% 90,535 92% PNR 5,464 7% 3,370 3% KNR 3,664 4% 4,740 5% Total 83,035 100% 98,645 100% SERPM 673 (2013) BCT Access Mode Observed Observed% Estimated Estimated% Walk 77,697 90% 83,061 94% PNR 4,352 5% 2,100 2% KNR 4,295 5% 3,621 4% Total 86,344 100% 88,782 100% STOPS Model (2015) BCT Access Mode Observed Observed% Estimated Estimated% Walk 77,697 90% 74,500 87% PNR 4,352 5% 5,777 7% KNR 4,295 5% 5,206 6% Total 86,344 100% 85,483 100%

21 Table A-21: MDT Linked Trip Comparison by Car Ownership SERPM 7.0 (2010) MDT Car Ownership Observed Observed% Estimated Estimated% 0-Car 68,891 38% 28,513 13% 1+Car 113,498 62% 194,607 87% Total 182,389 100% 223,120 100% SERPM 673 (2013) MDT Car Ownership Observed Observed% Estimated Estimated% 0-Car 68,687 38% 80,559 43% 1+Car 113,702 62% 108,006 57% Total 182,389 100% 188,565 100% STOPS Model (2015) MDT Car Ownership Observed Observed% Estimated Estimated% 0-Car 68,687 38% 63,463 39% 1+Car 113,702 62% 100,593 61% Total 182,389 100% 164,056 100%

Table A-22: MDT Linked Trip Comparison by Trip Purpose SERPM 7.0 (2010) MDT Trip Purpose Observed Observed% Estimated Estimated% HBW 71,517 39% 98,265 44% HBO 72,815 40% 107,315 48% NHB 38,057 21% 17,540 8% Total 182,389 100% 223,120 100% SERPM 673 (2013) MDT Trip Purpose Observed Observed% Estimated Estimated% HBW 71,517 39% 78,460 42% HBO 72,815 40% 79,330 42% NHB 38,057 21% 30,775 16% Total 182,389 100% 188,565 100% STOPS Model (2015) MDT Trip Purpose Observed Observed% Estimated Estimated% HBW 71,517 39% 75,573 46% HBO 72,815 40% 69,655 42% NHB 38,057 21% 18,832 11% Total 182,389 100% 164,059 100%

Table A-23: MDT Linked Trip Comparison by Access Mode SERPM 7.0 (2010) MDT Access Mode Observed Observed% Estimated Estimated% Walk 167,798 92% 194,385 87% PNR 5,472 3% 16,115 7% KNR 9,119 5% 12,620 6% Total 182,389 100% 223,120 100% SERPM 673 (2013) MDT Access Mode Observed Observed% Estimated Estimated% Walk 167,798 92% 174,361 92% PNR 5,472 3% 6,295 3% KNR 9,119 5% 7,908 4% Total 182,389 100% 188,564 100% STOPS Model (2015) MDT Access Mode Observed Observed% Estimated Estimated% Walk 167,798 92% 143,574 88% PNR 5,472 3% 11,351 7% KNR 9,119 5% 9,134 6% Total 182,389 100% 164,059 100%

22 Appendix B: SEFL STOPS Planning Model Route Level Boarding Estimates

Table B-1: Palm Tran Route Level Boardings Comparison Route Description Observed Estimated Error Error% 1 Pbg - Bcr Via Us-1 8,560 7,736 (824) -10% 2 Pbg - Bcr Via Congress 5,499 5,766 267 5% 3 Pbg - Bcr Via Military 4,591 3,535 (1,056) -23% 4 Wpb - Grn Via Haverhill 260 295 35 13% 10 N County X-Town Via Military 304 848 544 179% 20 Pbg X-Town - Mangonia Park Trs 400 676 276 69% 21 Pbg X-Town - St Mary Via Us-1 430 353 (77) -18% 30 Rvb X-Town Via Blue Heron 391 350 (41) -10% 31 Wpb X-Town Via 45th 1,557 1,079 (478) -31% 33 Lkp -Wpb Via Australn/pbl 831 1,302 471 57% 40 Wpb - Blg Via Sr-80 [ltd Stop Svc] 922 676 (246) -27% 41 Wpb - Palm Bch Inlet 69 286 217 314% 42 Wpb-Xtown Via Belvedere Rd 121 - (121) -100% 43 Wpb X-Town Via Okeechobee 2,351 2,987 636 27% 44 Wpb X-Town Via Belvedere 536 564 28 5% 45 Wpb - Lcs Via Parker/florida Mango 214 288 74 35% 46 Wpb - Wln Via Forest Hill 938 600 (338) -36% 47 Wpb-47-Phk - Blg Via Sr-15 833 1,295 462 55% 48 Wpb-48-Canal Point - Sby Via Sr- 556 1,091 535 96% 49 Wpb - Westgate Via Pbl/congress 259 278 19 7% 52 Rpb X-Town 216 442 226 105% 60 Grn - Pls Via Purdy/10th Ave N 173 328 155 90% 61 Grn - Lkw Via Cresthaven/10th Ave N 677 575 (102) -15% 62 Wln - Lkw Via Lake Worth 2,444 2,183 (261) -11% 63 Lnt X-Town Via Lantana 547 271 (276) -50% 64 Grn - Lkw Via Melaleuca/6th Ave S 339 368 29 9% 70 Lnt - Dlb Via Seacrest 1,032 1,414 382 37% 71 Byb X-Town Via Lawrence 302 534 232 77% 73 Byb X-Town Via Boynton Beach 482 274 (208) -43% 80 Dlb X-Twn Via Lk Ida/linton 422 411 (11) -3% 81 Dlb X-Twn Via Atlantic 578 791 213 37% 91 Bcr X-Town Via Glades 946 1,707 761 80% 92 Bcr X-Town Via Palmetto Park 390 1,053 663 170% 94 Fau - Boca Raton Trs 976 778 (198) -20% Total 39,146 41,134 1,988 5% Top 5 items Bottom 5 items

23 Table B-2: BCT Route Level Boardings Comparison (1) Route Description Type Observed Estimated Error Error% 1 to BCT Via US1Local 5,689 3,449 (2,240) -39% 2 NW 207 St to Westview Dr ViaLocal University Dr 6,201 7,769 1,568 25% 4 Hallandale and NE 14 Ave to FLLLocal Tri-rail station 908 1,030 122 13% 5 to HallandaleLocal Beach City1,478 Hall via Pembroke2,005 Road 527 36% 6 County Line Road and Dixie HighwayLocal to Broward2,090 Central Terminal4,030 1,940 93% 7 Young Circle to Pines BoulevardLocal & 196 Avenue4,062 via Hollywood3,934 Boulevard and(128) Pines Boulevard-3% 9 Young Circle to Broward CentralLocal Terminal 1,798 2,811 1,013 56% 10 Broward Central Terminal to CaminoLocal Real and4,029 Dixie Highway5,032 1,003 25% 11 Commercial Boulevard and HighwayLocal 441 to Copans3,099 Road and3,373 U. S. 1 274 9% 12 West Regional Terminal to NorthLocal Beach Park 1,679 1,771 92 5% 14 Broward Central Terminal to HillsboroLocal Boulevard3,982 via Powerline5,156 Road 1,174 29% 15 Hallandale Beach Boulevard andLocal Southwest 52 Avenue149 to Fort311 Lauderdale Hollywood162 Airport109% Tri-Rail Station 16 Pembroke Lakes Mall to DaniaLocal City Hall via Stirling1,001 Road 2,867 1,866 186% 18 Golden Glades to Lauderhill MallLocal Via 441 5,280 3,597 (1,683) -32% 19 Lauderhill Mall to Sandalfoot LocalMall Via 441 6,409 2,441 (3,968) -62% 20 Broward Central Terminal to NortheastLocal 3rd Avenue1,000 and Sample1,933 Road 933 93% 22 Mall (Green ToadLocal entrance) to 4,359Broward Central5,184 Terminal via Broward825 Boulevard19% 23 Pembroke Lakes Mall to SawgrassLocal Mills Mall 321 852 531 165% 28 Memorial Hospital Miramar toLocal Aventura Mall via4,305 Miramar Parkway3,447 and Hallandale(858) Beach Boulevard-20% 30 West Regional Terminal to BrowardLocal Central Terminal2,465 via Peters3,221 Road and Davie756 Boulevard 31% 31 Broward Central Terminal to HillsboroLocal Boulevard3,194 and Lyons2,873 Road via Northwest(321) 31st Avenue-10% and Lyons Road 34 Sample Road and Coral Ridge LocalDrive to Sample 3,453Road and Federal4,336 Highway via 883Sample Road. 26% 36 Sawgrass Mills Mall, Green ToadLocal Entrance to Sunrise5,258 Boulevard4,670 and A1A via Sunrise(588) Boulevard-11% 40 Lauderhill Mall to Galleria MallLocal via Broward Central3,649 Terminal2,717 (932) -26% 42 Atlantic Boulevard and Coral RidgeLocal Drive to Atlantic2,256 Boulevard2,549 and A1A via Atlantic293 Boulevard13% 48 Johnson Road and US 441 to DeerfieldLocal Beach via700 Hillsboro Boulevard.1,288 588 84% 50 Broward Central Terminal to SouthwestLocal 3 Avenue4,221 and Hillsboro4,130 Boulevard via(91) Dixie Highway-2% 55 Commercial Boulevard and NorthwestLocal 94th Avenue2,685 to Northeast3,943 41 Street 1,258and A1A via Commercial47% Boulevard and Bayview Drive 56 Oakland Park Boulevard and NobLocal Hill Road to Highway428 441 and196 N. W. 34 Street(232) via West Regional-54% Terminal and Broward Mall. 60 BCT to US 441 and NW 15 ST Local 4,118 3,868 (250) -6% 62 62-Local BCT bus Local 2,157 3,676 1,519 70% 72 Sawgrass Mills Mall to SR A1ALocal Via Oakland Park8,480 Blvd 6,139 (2,341) -28% 81 West Regional Terminal to BrowardLocal Central Terminal.3,712 3,442 (270) -7% 83 Sample Road and Coral Ridge LocalDrive to Copans 1,374Road and U.S.2,269 1 via Sample Road895 and Copans Road.65% 88 West Regional Terminal to HeronLocal Bay Plaza via Pine846 Island Road1,661 and Riverside815 Drive. 96% 101 US1 Breeze Breeze 2,272 3,396 1,124 49% 102 University Dr Breeze Breeze 922 1,709 787 85% 106 106-95e Miramar 95E 486 304 (182) -37% 107 107-95e Hollywood 95E 229 784 555 242% 108 108-95e Pembroke Pines 95E 366 201 (165) -45% 109 109-95e Pembroke Pines/Miramar95E 584 517 (67) -11%

24 Table B-3: BCT Route Level Boardings Comparison (2) Route Description Type Observed Estimated Error Error% 110 110-595e Sunrise/Miami 95E 344 293 (51) -15% 114 114-595e Sunrise/Civic Center95E 368 98 (270) -73% 441 441-Breeze Breeze 5,467 6,176 709 13% Total 117,873 125,448 7,575 6% Top 5 items Bottom 5 items

25 Table B-4: MDT Route Level Boardings Comparison (1) Route Description Type Observed Estimated Error Error% 1 SO.MIAMI HTS-PERRINE VIA SOUTHLAND Local 370 327 (44) -12% 2 CBD TO 163ST SH. CTR VIA NW 2AVE Local 3,199 2,506 (701) -22% 3 AVENTURA MALL-CBD VIA BISC.BLVD. Local 7,095 4,921 (2,191) -31% 6 CENT.PLAZA-ROUND TOWERS VIA CBD Local 430 1,407 976 226% 7 CBD-/MIA STA.VIA NW 7ST Local 4,035 2,805 (1,240) -31% 8 CBD-107AV/WESTCHESTER VIA SW 8 ST Local 6,781 3,985 (2,812) -41% 9 AVENTURA - CBD VIA NE 6 & 2 AVE Local 6,145 5,609 (551) -9% 10 SKYLAKE - OMNI - VIA NE12 & 2AVE Local 2,859 2,675 (191) -7% 11 FIU TO CBD VIA FLAGLER ST Local 11,336 4,411 (6,952) -61% 12 NORTHSIDE - MERCY HOSP. Local 3,370 1,599 (1,779) -53% 16 163ST-OMNI VIA NE16AV & BISC.BLVD Local 2,852 1,912 (947) -33% 17 NORWOOD - VIZCAYA VIA NW-SW17AVE Local 4,879 2,956 (1,935) -40% 19 163 ST MALL-MDC NORTH Local 2,228 1,855 (379) -17% 21 NORTHSIDE - CBD Local 2,539 1,163 (1,382) -54% 22 163ST.SH.CTR-COCOGROVE VIA 22AVE Local 4,925 5,770 832 17% 24 WEST DADE TO BRICKELL VIA Local 2,495 3,688 1,187 47% 27 COCOGROVE-CALDER VIA NW 27 AVE Local 8,853 5,827 (3,048) -34% 29 Hialeah Triangle-Miami Lakes Local 880 1,347 465 53% 31 BUSWAY LOCAL CUTLER BAY-DADELAND SO Bus Way 1,909 1,640 (273) -14% 32 MIAMI GRDNS-OMNI VIA NW 32 AVE-20ST Local 3,004 5,338 2,326 77% 33 HIA GRDNS-BISC BLVD VIA 49/103 ST Local 2,036 2,770 730 36% 34 BUSWAY FLYER: FLA CITY-DADELAND SO Bus Way 1,758 3,222 1,459 83% 35 MDC KENDALL-FLA.CITY VIA CUTLER BAY Local 2,717 2,872 149 5% 36 DOLPHIN-DORAL-MIA.SPGS-VIA NW 36 ST Local 2,827 3,317 483 17% 37 HIALEAH-SO.MIAMI VIA PALM/37 AVE Local 4,063 3,932 (141) -3% 38 BUSWAY MAX: FLA CITY TO DADELAND SO Bus Way 7,035 6,227 (825) -12% 40 BIRD RD/152 AVE TO DOUGLAS RD STA Local 2,387 2,261 (132) -6% 42 DGLS RD-MIA SPRGS/OPALOCKA TRI-RAIL Local 1,554 3,173 1,615 104% 46 LIBERTY CITY CONNECTION Local 50 31 (19) -38% 48 BRICKELL-UNIV. STA. VIA S. BAYSHORE Local 208 433 225 108% 51 FLAGLER MAX: WEST DADE TO CBD MAX 3,252 5,045 1,785 55% 52 GOULDS TO DADELAND SOUTH STATION Local 1,490 1,215 (278) -19% 54 HIALEAH GRDNS-BISC BLVD VIA 54 ST Local 3,980 2,982 (1,007) -25% 56 CHILDREN HOSP TO 162 AVE VIA 56 ST Local 570 1,754 1,183 207% 57 MIA STATION TO SW 152 ST VIA 57 AVE Local 586 1,026 438 75% 62 HIALEAH-BISC BLVD VIA 62 ST Local 3,673 1,816 (1,865) -51% 70 CUTLER BAY-FLA CITY VIA HMSTD. BASE Local 1,592 1,290 (306) -19% 71 DOLPHIN MALL-MDC KEND.VIA 107/112AV Local 1,207 688 (522) -43% 72 SO.MIAMI-BENT TREE/162AV VIA 72 ST Local 1,049 1,384 332 32% 73 NW DADE-DADELAND SO. VIA 67/72 AVE Local 2,500 4,717 2,211 88% 75 MIAMI LAKES-163ST MALL-FIU BISC BAY Local 2,052 1,493 (564) -27% 77 NORWOOD - CBD VIA NW 7 AVE Local 10,778 11,073 269 2% 79 79_ST MAX: MIA BCH-NORTHSIDE Local 503 764 260 52% 87 PALMETTO/DORAL-DADELAND VIA 87 AV Local 1,697 1,923 222 13% 88 162 AVE TO DADELAND NORTH VIA 88 ST Local 2,548 1,572 (982) -38% 93 BISCAYNE MAX: CBD-AVENTURA MAX 3,752 9,955 6,193 165% 95 I-95 GOLDEN GLADES EXPRESS 95X 2,114 5,169 3,050 144% 99 NW DADE-AVENTURA MALL Local 1,784 1,698 (90) -5% 101 A-VIA Local 82 98 16 NA 102 B-BRICKELL STATION-KEY BISCAYNE Local 1,766 1,738 (32) -2% 103 C-MT SINAI HOSP-CBD VIA WASH AVE Local 3,676 5,077 1,392 38% 104 HAMMOCKS-MDC-DADELAND NO.VIA 104 ST Local 1,308 1,268 (44) -3% 105 E-GOLDEN GLDS.-AVENTURA/HALLANDALE Local 1,814 1,872 54 3%

26 Table B-5: MDT Route Level Boardings Comparison (2) Route Description Type Observed Estimated Error Error% 107 G-BUNCHE PK-BEACH-96 ST VIA 125 ST Local 2,003 2,581 574 29% 108 H-N.MIA BEACH-72 ST & COLLINS AVE Local 1,720 2,183 459 27% 110 J-MIAMI BCH-MIA STAT VIA 36 ST Local 2,828 4,403 1,569 55% 112 L-HIALEAH-MIA BCH/LINC RD VIA 79 ST Local 9,465 9,337 (151) -2% 113 M-CIVIC CENTER-MIAMI BEACH Local 1,135 3,124 1,986 175% 115 MID-NORTH-BEACH CONNECTION CW Local 374 706 331 88% 117 MID-NORTH-BEACH CONNECTION CCW Local 322 1,118 796 247% 119 S-AVENTURA-CBD VIA COLLINS & ALTON Local 11,007 8,824 (2,210) -20% 120 BEACH MAX: CBD-AVENTURA MALL MAX 7,016 9,713 2,679 38% 123 LOCAL Local 1,910 753 (1,162) -61% 132 HIA.TRI-RAIL STA-DORAL VIA 36ST Local 45 184 139 306% 135 135_STREET CROSSTOWN Local 1,848 3,656 1,803 97% 136 DOUGLAS RD-OLD CUTLER-136ST-KENDALL Local 335 347 12 3% 137 WEST DADE CONNECTION Local 1,898 2,211 309 16% 150 MIAMI BEACH AIRPORT FLYER Local 2,290 1,961 (334) -15% 183 NW 87 AV/186 ST- AVENTURA Local 3,877 3,599 (287) -7% 195 I-95 DADE-BROWARD EXPRESS 95E 1,170 1,316 143 12% 200 CUTLER BAY LOCAL Local 185 45 (140) -76% 202 CONNECTION Local 237 498 261 110% 204 KILLIAN KAT Killian KAT 1,236 997 (242) -20% 207 CONNECTION Local 2,082 1,555 (532) -26% 208 LITTLE HAVANA CONNECTION Local 1,925 1,826 (103) -5% 211 OVERTOWN CIRCULATOR Local 267 124 (144) -54% 212 SWEETWATER CIRCULATOR Local 119 13 (106) -89% 238 EAST-WEST CONNECTION Local 528 653 124 23% 246 Night Owl - 114 - (114) -100% 249 COCONUT GROVE CIRCULATOR Local 1,203 311 (895) -74% 252 CORAL REEF MAX MAX 1,073 1,541 466 43% 254 BROWNSVILLE CIRCULATOR Local 32 136 104 325% 267 LUDLAM LIMITED Local 123 398 275 222% 272 SUNSET KAT KAT 576 932 355 62% 277 7 AVE MAX MAX 977 2,339 1,360 139% 286 NORTH POINTE CIRCULATOR Local 111 41 (70) -63% 287 SAGA BAY MAX MAX 325 387 62 19% 288 KENDALL CRUISER MAX 1,043 1,510 464 44% 297 27 AVE ORANGE MAX MAX 1,976 3,810 1,829 92% 302 Florida City to Ocean Reef Local - - - NA 344 SW 344 St Local 96 263 166 173% 500 Midnight Owl Local 124 - (124) -100% Total 222,184 229,146 6,408 3% Top 5 items Bottom 5 items

27 Appendix C: List of Park and Ride Locations

Table C-1: Park and Ride Lots at Metrorail and Tri-Rail Stations Area/Agency PNR Name Latitude Longitude PNR Type MR-a: PALMETTO 25.843982 -80.324651 2 MR-a: OKEECHOBEE 25.8411 -80.3021 2 MR-a: HIALEAH 25.8417 -80.28 2 MR-a: NORTHSIDE 25.8458 -80.25 2 MR-a: MLK JR. 25.832481 -80.24063 2 MR-a: BRWNSVILLE 25.824 -80.2408 2 MR-a: E. HEIGHTS 25.8116 -80.2321 2 MR-a: ALLAPATTAH 25.8098 -80.2157 2 MRL MR-a: ST CLARA 25.795 -80.2151 2 MR-a: VIZCAYA 25.7495 -80.2127 2 MR-a: COCO GROVE 25.74 -80.2378 2 MR-a: DOUGLAS RD 25.7316 -80.2557 2 MR-a: UNIVERSITY 25.715476 -80.277629 2 MR-a: S MIAMI 25.7042 -80.2898 2 MR-a: DADELAND N 25.6908 -80.306 2 MR-a: DADELAND S 25.6849 -80.3127 2 TR-A: PB-MANGONIA STN 26.757862 -80.076873 1 TR-A: PB-WPB STN 26.713499 -80.062145 2 TR-A: PB-LAKE WORTH STN 26.616074 -80.069572 2 TR-A: PB-BOYNTON BEACH STN 26.553376 -80.071158 2 TR-A: PB-DELRAY BEACH STN 26.454199 -80.091487 2 TR-A: PB-BOCA RATON STN 26.3925 -80.0993 2 TR-A: BO-DEERFIELD BEACH 26.317178 -80.122567 2 TR-A: BO-POMPANO BEACH 26.272094 -80.135313 2 TR-A: BO-CYPRESS CREEK 26.201438 -80.15086 2 TRL TR-A: BO-FT LAUDERDALE 26.122632 -80.171247 2 TR-A: BO-ARPRT/GRIFFIN RD 26.061511 -80.166158 2 TR-A: BO-SHERIDAN STOP 26.032017 -80.167293 2 TR-A: BO-HOLLYWOOD 26.012103 -80.168026 2 TR-A: MD-G GLADES 25.921028 -80.215418 2 TR-A: MD-OPA-LOCKA 25.900192 -80.25302 2 TR-A: MD-MR-Transfer 25.84645 -80.259962 3 TR-A: MD-HIALEAH MKT 25.810963 -80.258975 2 TR-A: MD-MIC/MIA 25.797533 -80.257928 2

28 Table C-2: Park and Ride Lots for Bus Services in the Tri-County Region Area/Agency PNR Name Latitude Longitude PNR Type W. Jupiter Recreation Ctr 26.9346 -80.1298 4 Gardens Mall 26.8471 -80.0815 4 WPB Fire Rescue Station 26.7084 -80.1661 4 Shops at Southern Palms 26.6798 -80.1842 4 Lake Worth Rd/Turnpike 26.618287 -80.172461 4 Palm Beach Congress Ave/82nd St 26.4232 -80.0923 4 Wellington Green 26.646962 -80.210276 4 Baywinds 26.7093 -80.2009 4 Palms West Hospital 26.6818 -80.2514 4 West Tech 26.703736 -80.683533 4 Miramar Town Center 25.985865 -80.300498 3 Hollywood Hills Plaza 26.011302 -80.174273 4 Pembroke Commons 26.014258 -80.249653 3 CB Smith Park 26.008111 -80.313429 3 Broward Ansin Sports Complex 25.988913 -80.290952 3 North Perry Airport 25.995575 -80.245576 3 Sunrise Park & Ride 26.154157 -80.329195 3 Memorial Hospital Miramar 25.98243 -80.374373 3 Coral Reef DR/SW 152/TPK 25.6273 -80.3822 3 Busway/SW 152nd ST 25.6289 -80.3412 3 Busway/SW 168th ST 25.6139 -80.3477 3 Busway/SW 112 Ave. 25.5759 -80.3725 3 Busway/SW 244th ST 25.5368 -80.411 3 Busway/SW296th St. 25.492 -80.4551 3 Miami-Dade West Kendall Terminal 25.6841 -80.4541 3 Kendall DR/SW 150 Ave. 25.6847 -80.437 3 HMOCK CTR/SW152&104 25.6699 -80.444 3 NW 186th St/NW 73rd Ave 25.9424 -80.3227 3 SW 344 Street/SW 3 Ave 25.447749 -80.480431 3 Golden Glades West Lot 25.921301 -80.21461 3 Golden Glades East Lot 25.922391 -80.212379 3

29