An Economic Analysis of the SMART Train

August 23, 2018

John Leopold, Chair
Santa Cruz Regional Transportation Commission
Santa Cruz County
Santa Cruz, CA 

Chair and Commission Members: 

I am writing to provide a broader context to SMART General Manager Farhad Mansourian’s August 2nd presentation in Watsonville. This memo is about what he didn’t tell you and about the many questions a public body should consider before deciding to employ tax dollars to provide passenger rail services. 

I have reviewed the video and the PowerPoint that was presented to the RTC. Much of what he said was incomplete. Some information was inconsistent with data on SMART in the National Transit Database or in its own financial reports. My goal is to provide the RTC with this information so that it will understand that SMART is not the success touted by SMART’s Chairperson and General Manager. 

Hopefully, after reading this memo, the Commission will learn that implementation of passenger rail service “within suburbia” (in that passenger rail wouldn’t serve a major employment center) comes at great cost to the taxpayers and carries relatively few transit passengers. As I demonstrate below, SMART’s ridership is paltry compared with rail transit systems that do serve major metropolitan areas. Indeed, to the extent the Commission views SMART as a “model”, I urge the Commission to careful study of what has actually transpired in the past 10 years in Marin and Sonoma counties, as opposed to what the General Manager claims has transpired. 

My comments will largely focus on the economics and finances of the SMART agency, ridership produced by the train since it began operations, and other issues touched upon in the presentation he provided to the Commission. 

Section I. Ridership 

In his presentation, Mr. Mansourian stated ridership to date was 650,000.[1] According to the published monthly data in the National Transit Database (through June) as shown on Table 1, total ridership from August 25, 2017 through June 30, 2018 was 544,535. If so, in the month of July, SMART’s ridership would have had to exceed 100,000 for the 650,000 figure to be accurate. 

Table 1
SMART’s Monthly Ridership Reported on FTA’s National Transit Database.

Month

Ridership

Cumulative

Aug-17

14,425

14,425

Sep-17

57,452

71,877

Oct-17

54,055

125,932

Nov-17

50,659

176,591

Dec-17

50,920

227,511

Jan-18

51,951

279,462

Feb-18

50,451

329,913

Mar-18

51,455

381,368

Apr-18

51,807

433,175

May-18

55,444

488,619

Jun-18

55,916

544,535

Total

544,535


SMART’s Annual Report issued in December 2017 stated that “In 2017, SMART carried a total of 252,295 passengers[2], with a daily average of 2,191 on weekdays and 1,393 on weekends.” Simple math indicates that monthly ridership from January – July 2018 would need to average 56,814 riders for the total ridership he claimed. The Commission ought to seek an official explanation for this difference. 

SMART is operating 34 trains (17 round trips) on the average weekday which means an average of 64 riders per train. However, if one accounts for the schedule and the predominance of riders on the 12 peak hour trains (see Table 7 on p. 12 for the current schedules), there are many trains with very limited ridership.[3] This calculation involves some guessing, because SMART has not released detailed ridership figures (e.g., by weekday and weekend day or by train) that is readily available in the agency computers.[4]

Weekday Ridership and the Commute Traffic 

According to Caltrans Ramp Volume reports[5], there are at least 1.5 million vehicle trips on Hwy 101 between Airport Blvd (near SMART’s northern terminus) and Sir Francis Drake Blvd (SMART’s southern terminus after completing the Larkspur extension).[6] Even if ridership increases to its forecast of 3,000 riders per weekday and all of the riders were former vehicle users, ridership on the train represents only 0.2% of the vehicle trips. 

In addition, the train operates in two directions. With 2,400 riders per weekday in June and about half of them traveling south in the morning commute, this represents only a small percentage of vehicles from the traffic flow. Mr. Mansourian stated that SMART has not impacted peak hour commute traffic and this is one of the key reasons. 

How Does SMART’s Ridership Compare with Other Rail Transit Agencies? 

There are two comparisons to consider in order to interpret the ridership reported in Table 1. The first comparison is from data online in the National Transit Database which reports ridership by month. There were 24 “commuter rail” transit agencies that reported ridership for June 2018 displayed and these data are the basis for the graph in figure 1. 

SMART’s ridership is ranked 18th in size as measured by ridership and is indicated with the red marker. Its ridership for June is only a small proportion of the larger transit agencies. 

The population of Marin and Sonoma counties (2015) was 763,000 people. To the extent ridership is positively related to the population serviced, a “back of the envelope” calculation would lead to a round number of 1,200 riders per day for Santa Cruz County, based on the Santa Cruz County population.[7] This number may be considerably smaller if the trains only operate in a single direction or with frequencies longer than SMART’s. 

Weekly Ridership on Caltrain, ACE, and BART? 

The Metropolitan Commission publishes a statistical summary of transit agency performance for those operating in the nine-county Bay Area. Table 2 reports these comparisons with SMART. 

Table 2
Average Weekday Ridership of Rail Transit in the Bay Area FY2016

Agency

Avg. Weekday Ridership

BART

457,594

Caltrain

60,220

SMART

2,400*

* I used this figure rather than the 2,191 figure to account for June which was higher than the average cited in SMART’s Annual Report.

Figure 1
National Transit Ridership Data on “Commuter Rail” Ridership – by Reporting Agency
(June 2018)

National Transit Ridership Data

Net vs. Gross Transit Ridership 

A consideration for the RTC to consider is how creating a new service will compete with an existing bus transit system. In the Marin and Sonoma corridor SMART provides service along bus routes provided by the Golden Gate Transit District. How many of the riders on SMART represent former bus riders? I don’t have an answer to this question, but crude estimates have ranged from 20 percent or more. SMART’s EIR (2006) stated the following: 

On-board survey data of similar commuter rail operations confirms this conclusion: Information from ACE and Metrolink passenger rail systems indicated that as much as 80% of new rail passengers formerly drove alone.[8]

II. Finances 

How Much Has Been Spent on SMART? 

Table 3 provides a summary of SMART expenditures since its legal inception through the end of fiscal year 2017. Data is from the audited financial reports available on line.[9] While the question wasn’t asked, as indicated in the table over $650 million of public funds have been spent.[10] The table also reports sales tax revenues for reference. However, to understand “how much of SMART has been funded with local dollars” one needs to account for $199 MM construction bond issued in early 2012. 

A relevant question commissioners should be asking is the extent to which these expenditures can be scaled to the length of the line proposed in Santa Cruz County.[11] Also, much of the actual cost of construction to local taxpayers will depend on a key decision: whether the RTC opts to seek federal funding for construction of the line or, alternatively, seeks to self-fund construction, paid by issuing a bond, as SMART did (see discussion below). 

What has been SMART’s Source of Revenues? 

Table 4 summarizes SMART’s reported revenues published in financial audit reports and comprehensive annual financial reports. As indicated on the table, sales tax revenues have been a significant source of the agency’s annual revenues. 

Table 4 also demonstrates that significant state—and to a lesser extent federal—grants have been necessary to construct only part (61%) of the promised rail line[12] and 3.5 miles of bike path. For example, without these additional revenue sources, SMART wouldn’t financially have been able to conduct the following tasks prior to the passage of Measure Q: 

  • Preparation of many initial planning studies (e.g., EIR), engineering and cost analyses, and financial plans 
  • Compensation of SMART staff to oversee the process and promote the train 
  • Distribution of marketing materials promoting the train to every household in two counties 

Consequences of Debt Financed Rail 

In early 2012, SMART issued a $199 MM construction bond to finance construction. As indicated in Table 3, debt service has been a significant cost and financial burden on the agency. And while this was not discussed on August 2nd commissioners should be aware that debt financing is associated with significant financial consequences to any agency primarily financed with sales taxes. 

In the long run SMART’s financial position is at best “precarious,” because it has committed large proportions of its current and future tax revenues to debt service. 

Table 5 reports the agency’s projection[13] of debt service and its assumed constant growth sales tax revenue path after FY 2018. As indicated, the agency’s plan is that debt service payments will rise faster than sales tax revenues. This means SMART expects its “leverage ratio” to increase from its current 38.4% to 44.8% over the next several years, exposing the agency to recessions and the double-impact leverage has on SMART’s ability to fully subsidize rail operations. It also means over time the tax revenues available to subsidize rail operations become more sensitive to the growth in sales tax revenues.

Table 3
Total Expenditures by SMART from Inception by Major Category and Fiscal Year
(in Thousands of $)

Fiscal Year

Salaries & Benefits

Materials and Suppliers

Capital Outlay

Interest & Related Fees

2012 Bond Re-funding

Deprecation

Other

Total

2005

269

1,217

-

-

100

0

1,586

2006

440

1,702

25

-

101

0

2,267

2007

449

1,393

1,292

-

100

205

3,439

2008

632

1,118

5,639

1

196

64

7,649

2009

777

5,103

22,261

2

411

35

28,588

2010

1,291

13,001

20,335

1

420

5

35,053

2011

1,848

10,098

14,614

-

472

53

27,085

2012

2,462

4,180

29,233

1,117

1,738

4,528

77

43,335

2013

2,559

4,406

77,630

7,047

4,528

701

96,871

2014

3,041

4,467

65,770

8,457

4,474

216

86,424

2015

4,303

5,275

125,832

8,457

4,576

380

148,822

2016

7,737

5,999

77,278

8,457

4,610

8

104,089

2017

12,611

7,499

35,153

8,275

4,717

0

68,255

Total

38,418

65,457

475,062

41,815

1,738

29,231

1,743

653,465

 

Table 4
Revenues of SMART from FY 2007 – FY 2017
(in Thousands of $)

Fiscal Year

Sales Tax Revenues

Grants: Fed, State, Region

Charges for Services

Fare Revenues

Other

Total

2007

Began
Apr '09

2,482

533

Service
Began
Late
Aug '17

16

3,042

2008

6,951

559

131

7,641

2009

4,977

25,853

571

36

31,436

2010

24,060

33,138

565

132

57,894

2011

26,827

17,856

636

239

45,558

2012

28,304

14,155

651

464

43,574

2013

30,436

40,952

598

1,557

73,543

2014

32,473

49,039

841

1,248

83,601

2015

33,845

7,636

640

1,434

43,556

2016

34,776

23,766

529

2,850

61,921

2017

36,062

12,404

588

805

49,860

Total

251,759

234,232

6,710

0

8,911

501,624

 

Table 5
Projected Sales Tax Revenues vs. Debt Service

Fiscal Year

Sales Tax Revenues

Grants: Fed, State, Region

Charges for Services

Fare Revenues

Other

Total

2007

Began
Apr '09

2,482

533

Service
Began
Late
Aug '17

16

3,042

2008

6,951

559

131

7,641

2009

4,977

25,853

571

36

31,436

2010

24,060

33,138

565

132

57,894

2011

26,827

17,856

636

239

45,558

2012

28,304

14,155

651

464

43,574

2013

30,436

40,952

598

1,557

73,543

2014

32,473

49,039

841

1,248

83,601

2015

33,845

7,636

640

1,434

43,556

2016

34,776

23,766

529

2,850

61,921

2017

36,062

12,404

588

805

49,860

Total

251,759

234,232

6,710

0

8,911

501,624

* Sales tax revenues are actuals through FY 2018

Because debt service payments the Board committed to are “senior” to the rest of SMART’s expenditures and are scheduled to increase, when a recession occurs and sales tax revenues decline, the impact on what’s left over is multiplied. For example, 5% decline in sales tax revenue in this year would reduce sales tax revenues available for rail services by 13%. Fare revenues will also fall when unemployment increases leading to even more declines in revenues. Meanwhile debt service commitments are scheduled to rise. In other words, transit agencies with a combination of a material debt service payments and reliance on sales tax revenue are exposed to a “leveraged” financial impact in a recession. 

Why Did the SMART Board Elect to Self-Fund Construction? 

The reasons that the SMART Board chose to issue debt in light of these consequences was the result of early discussions that it (or selected members and key staff) had with the Federal Transit Administration (FTA). 

Based on the FTA’s internal review (and not the claims of local rail proponents) the FTA expected low ridership and was well aware of the many costs associated with constructing a rail line. At the same time, they warned that the federal “New Starts” program that funds new rail construction in the U.S. is highly competitive. SMART representatives were told of the low probabilities of receiving federal funding and the length of time it might take to obtain it.[14] As a consequence, the Board opted to self-finance construction of the rail line. 

The issue they then faced was they were told by their consultant (Parsons-Brinckerhoff) and many others (including me) that a quarter cent sales tax would not raise sufficient revenues to pay for construction of a 70 mile rail line and subsidize rail operations. Polls at the time indicated the agency couldn’t pass a ½ cent measure and so they opted to proceed with a quarter cent measure. 

The financial consequences of placing a quarter cent measure on the ballot rather than a half cent measure were significant. It is this decision that lead to only 62 percent of the line being constructed. As Dick Spotswood, a Marin Independent Journal columnist wrote in his August 14th, 2018 column: 

SMART bears the negative fruits of rail proponents who oversold the concept in the 2008 election. … The sales tax to fund the full 70-mile line as promised should have been a half-cent, not a quarter-cent. That’s why the line won’t get past Windsor until the late 2020s and its finances are perpetually tight. 

The Financial Impact of the Great Recession on the Current Length of the Rail Line 

SMART’s General Manager made statements at the Commission meeting15 that the decline in sales tax revenues associated with the Great Recession are the reason SMART could not fulfill its promise to voters to construct a 70 mile rail line. 

  • First, SMART has provided no evidence or study to support such a claim. 
  • Second, pointing to the decline in sales taxes ignores the “other side” of SMART’s balance sheet, namely debt service. Interest rates and associated debt service was a significant component of SMART’s financial plan provided to the public prior to 2008 (see table 5 above). But interest rates declined significantly between 2008 when the original funding plan was prepared and 2012 when the bonds were issues. The decline in interest rates saved SMART millions of dollars of debt service which the General Manager has failed to mention…ever
  • Third, the Great Recession had significant impacts on wages of construction workers, during the period that SMART has never accounted for. Indeed, given the project entailed far more costs than envisioned, which is common when government agencies forecast capital construction projects16, it would be quite difficult to assess just how much difference this made. 
  • Fourth, to believe the General Manager’s claim, one would have to also believe in the conclusions provided in SMART’s original Expenditure Plan (adopted in July 2008). Rather than a real analysis of future costs, sales tax revenue potential and associated risks, the Expenditure Plan was a political document, otherwise known as “an answer in search of a question.” Its goal was political: to claim a quarter cent sales tax was sufficient to finance construction and rail operations. It did this by overstating potential sales tax revenue growth and significantly understating the cost of constructing a 70 mile rail line.

For example, the adopted funding plan claimed it would cost $455 million to construct the 70 mile rail line. Actual expenses in Table 3 demonstrate that SMART spent $475 million on “capital outlays” plus $65 million on “materials and suppliers” to build 43 miles of the rail line and only 3.5 miles of the bike path. Even with significant grant funding they have reneged on the construction of most of the bike path and bus shuttles promoted. The understatement of capital costs by a factor of about 2 was not a consequence of the Great Recession.[17]

Cost-Effectiveness of SMART 

One of the widely used measures of cost effectiveness is the farebox recovery ratio. Another is the dollar subsidy per passenger trip. Both can be computed from available data. Table 6 provides data on these calculations for SMART. As indicted, SMART’s calculated subsidy per passenger trip exceeds $27.08. By contrast, the NTD data indicates Santa Cruz Metropolitan buses subsidize each passenger trip by $4.94. 

Table 6
Cost-effectiveness Calculations of the SMART Train

Item

Number

Total Passengers as reported

544,535

Adjusted Total Passengers *

641,146

FY 2018 Operating Expenses

$21.01 MM

Fare Revenues as reported

$3.1 MM

Adjusted Fare Revenues*

$3.4MM

Adjusted Farebox recovery ratio

17.4%

Subsidy per passenger trip

$27.08

Note: * Fare revenues and passengers were adjusted upward because the train was not operating until August 25 (or 55 days in FY 2018) . 

In figure 2, the dollar subsidy per passenger trip for 25 commuter railroads in the U.S.[18] is plotted along with SMART’s figure (in red). The 26 points were fitted with a logarithmic function to illustrate the relationship between the number of passengers traveling on a system and the cost to taxpayers to subsidize each trip. As indicated, because rail systems have high fixed costs, those systems that generate more passengers will spread those costs over more passenger trips. The Commission ought to use this metric for the proposed passenger system in the county as it is a widely used, easy to calculate, and provides the public with relevant information on a rail system’s cost-effectiveness.

Figure 2
Subsidy per Passenger in Dollars for 2016

 Source: Data on 25 commuter railroads was from National Transit Database (2016). SMART data is for FY 2018. Datasets supporting this graph are available on request.

Source: Data on 25 commuter railroads was from National Transit Database (2016). SMART data is for FY 2018. Datasets supporting this graph are available on request.

III. Operational Considerations 

Single Track and Scheduling Gaps 

SMART is a single track system with four passing tracks. In such a system delays of one train on the system can be easily be transmitted forward and backward from the point of delay. In addition, it can limit the number of trainsets that can operate because the sequencing of trains north and south must be relatively exact in order to avoid a collision. One of the important consequences on this system is how it limits the frequency of trains, which can be observed by scrutinizing the schedule (see the weekday schedule in Table 7). As indicated, schedule indicates 12 trains a day depart either 60, 90, and 180 minutes after the prior train’s departure with 90 minute gaps during the peak commute hours being the most notable. 

SMART has claimed the cost of housing has interfered with its ability to recruit a sufficient number of train crews to operate more trains in the corridor. This argument, however, is just another indication of the many constraints on SMART’s finances.[19] 

SMART has claimed the cost of housing is keeping it from hiring train operators. In fact, this is an indication of the financial constraints facing the agency. 

Public Transit Coordination 

The General Manager touted “public transit agency coordination.” For sure there have been many efforts to provide bus services that “meet the trains”, but full coordination is extremely expensive and simply not doable. Golden Gate Transit publishes a SMART-Golden Gate Transit connection which applies only to the San Rafael station, where there exists reasonable connectivity to support the claim by the General Manager. Neither the Hamilton station nor the Atherton stations are directly served by a Marin County Transit bus.[20] By contrast, Petaluma has several buses serving between Sonoma County Transit and Petaluma Transit, but it is far from every train. 

IV. Other 

Sales Taxes are “Only 25 Cents on Every Hundred Dollars Spent” 

It sure sounds trivial. It isn’t. According to SMART it received $37 million in sales tax revenues if FY 2018. The California Dept. of Finance estimates 291,267 occupied housing units in the two counties. In other words, in FY 2018, the average household paid $123 in taxes to support the train. 

Implementation Time Promised vs. Delivered 

Figure 3 shows a PowerPoint slide presented at a 2008 SMART Board meeting by the then General Manager (Lillian Hames) that was also part of the campaign literature distributed to every household in two counties. While the General Manager continues to claim the delays in implementation were a direct consequence of the Great Recession, I have attempted to demonstrate that this claim is a convenient political argument but not grounded in any analysis of this question. At the same time a significant policy issue for the Commission to consider: Marin and Sonoma county taxpayers paid sales taxes beginning in April 2009 and continued to pay them for 8 ½ years without receiving any rail services from the agency. 

Figure 3
PowerPoint Slide Claiming Train Service would begin in 2014

Train Service would begin in 2014

Table 7 – SMART’s Weekday Train Schedule

Southbound Weekday

Sonoma County Airport

4:19

4:49

5:19

6:19

7:19

7:49

8:19

9:49

12:49

2:19

2:49

3:19

3:49

5:19

5:49

6:19

6:49

Santa Rosa North

4:26

4:56

5:26

6:26

7:26

7:56

8:26

9:56

12:56

2:26

2:56

3:26

3:56

5:26

5:56

6:26

6:56

Santa Rosa Downtown

4:31

5:01

5:31

6:31

7:31

8:01

8:31

10:01

1:01

2:31

3:01

3:31

4:01

5:31

6:01

6:31

7:01

Rohnert Park

4:38

5:08

5:38

6:38

7:38

8:08

8:38

10:08

1:08

2:38

3:08

3:38

4:08

5:38

6:08

6:38

7:08

Cotati

4:42

5:12

5:42

6:42

7:42

8:12

8:42

10:12

1:12

2:42

3:12

3:42

4:12

5:42

6:12

6:42

7:12

Petaluma Downtown

4:55

5:25

5:55

6:55

7:55

8:25

8:55

10:25

1:25

2:55

3:25

3:55

4:25

5:55

6:25

6:55

7:25

Novato - San Marin

5:06

5:36

6:06

7:06

8:06

8:36

9:06

10:36

1:36

3:06

3:36

4:06

4:36

6:06

6:36

7:06

7:36

Novato - Hamilton

5:14

5:44

6:14

7:14

8:14

8:44

9:14

10:44

1:44

3:14

3:44

4:14

4:44

6:14

6:44

7:14

7:44

Marin Civic Center

5:20

5:50

6:20

7:20

8:20

8:50

9:20

10:50

1:50

3:20

3:50

4:20

4:50

6:20

6:50

7:20

7:50

San Rafael

5:26

5:56

6:26

7:26

8:26

8:56

9:26

10:56

1:56

3:26

3:56

4:26

4:56

6:26

6:56

7:26

7:56

Northbound Weekday

San Rafael

5:59

6:29

6:59

7:59

8:59

9:29

9:59

11:29

2:29

3:59

4:29

4:59

5:29

6:59

7:29

7:59

8:35

Marin Civic Center

6:05

6:35

7:05

8:05

9:05

9:35

10:05

11:35

2:35

4:05

4:35

5:05

5:35

7:05

7:35

8:05

8:41

Novato - Hamilton

6:11

6:41

7:11

8:11

9:11

9:41

10:11

11:41

2:41

4:11

4:41

5:11

5:41

7:11

7:41

8:11

8:47

Novato - San Marin

6:19

6:49

7:19

8:19

9:19

9:49

10:19

11:49

2:49

4:19

4:49

5:19

5:49

7:19

7:49

8:19

8:55

Petaluma Downtown

6:30

7:00

7:30

8:30

9:30

10:00

10:30

12:00

3:00

4:30

5:00

5:30

6:00

7:30

8:00

8:30

9:06

Cotati

6:43

7:13

7:43

8:43

9:43

10:13

10:43

12:13

3:13

4:43

5:13

5:43

6:13

7:43

8:13

8:43

9:19

Rohnert Park

6:47

7:17

7:47

8:47

9:47

10:17

10:47

12:17

3:17

4:47

5:17

5:47

6:17

7:47

8:17

8:47

9:23

Santa Rosa Downtown

6:54

7:24

7:54

8:54

9:54

10:24

10:54

12:24

3:24

4:54

5:24

5:54

6:24

7:54

8:24

8:54

9:30

Santa Rosa North

6:59

7:29

7:59

8:59

9:59

10:29

10:59

12:29

3:29

4:59

5:29

5:59

6:29

7:59

8:29

8:59

9:35

Sonoma County Airport

7:06

7:36

8:06

9:06

10:06

10:36

11:06

12:36

3:36

5:06

5:36

6:06

6:36

8:06

8:36

9:06

9:42

Cell colored yellow depart more than 30 minutes after the prior train.


V. Signature and Distribution List

This letter and analysis has been prepared by: 

Mike Arnold, Ph.D. 
Lecturer in Economics, Osher Life Learning Institute
Dominican University (San Rafael) and Sonoma State University (Rohnert Park) 
Novato, CA 

Copies sent to: 

  • john.leopold@co.santa-cruz.ca.us ebottorff167@yahoo.com 
  • zach.friend@co.santa-cruz.ca.us 
  • ryan.coonerty@santacruzcounty.us 
  • greg.caput@co.santa-cruz.ca.us 
  • bruce.mcpherson@co.santa-cruz.ca.us 
  • jbertrand@ci.capitola.ca.us 
  • sbrown@cityofsantacruz.com 
  • rlj12@comcast.net 
  • trina.coffman@cityofwatsonville.org 
  • cchase@cityofsantacruz.com 
  • openup@cats.ucsc.edu 
  • tim_gubbins@dot.ca.gov 
  • Frederik.venter@kimberly-horn.com 
  • Jim.damkowitch@kimberley-horn.com 
  • Info@sccrtc.org

  1. In the local media recently, SMART staff has stated there have been 700,000 riders. 
  2. This is a small difference with the reported NTD cumulative number reported on the table. 
  3. This is consistent with ridership patterns on Caltrain which reports riders by train. 
  4. The General Manager has explained that he is currently using train crews to conduct the counts by train.
  5. See the button “Ramp Volumes” at http://www.dot.ca.gov/trafficops/census
  6. The counts are available on line and were largely for 2013. 
  7. I assumed 3,000 riders per day on SMART and applied the ratio to Santa Cruz County population.
  8. “Master Response H” in the EIR’s Chapter 3: Comments and Responses on Draft EIR. 
  9. A few were obtained by request from the Sonoma County Finance Dept. 
  10. The table will be updated for FY 2017-18 when the financial audit report is made public in December.
  11. Many, but certainly not all, costs of initial reconstruction of a rail line (e.g., permit applications) are independent of the length of the row to be constructed. 
  12. 43 miles of rail line have been constructed. 
  13. Data through FY 2018 are actuals. FY 2019 and beyond are specified in its 2014 Strategic Plan. 
  14. One of these costs is completing federal environmental assessments. SMART didn’t complete this process until long after Measure Q was passed. 
  15. This is not a new claim. He’s been saying it for years. 
  16. See for example, Don Pickrell, “Urban Rail Projects: Forecast Versus Actual Ridership and Cost” Prepared for Office of Grants Management, U.S. Dept. of Transportation (October 1990); Nasirui. Dantata, Ali Touran, and Donald Schneck “Trends in U.S. Rail Transit Project Cost Overrun,” TRB 2006 Annual Meeting (2006); or FTA Office of Planning and Environment, “The Predicted and Actual Impacts of New Starts Projects – 2007 – Capital Cost and Ridership” (April 2008). 
  17. Calculated as follows: Materials + Capital Outlays was $540 million and they built 61% of the rail line. 
  18. Calculated from data in the NTD. 
  19. The private sector is able to fill open positions despite the shortage of housing. Hence, this is really a statement that SMART can’t afford to hire experienced train operators. 
  20. There is a shuttle within the Hamilton development but not a connecting bus to take you from the SMART station to Ignacio, without a long walk and long wait. 

Disclosure Statement

I am a practicing PhD economist, former lecturer at the University of California (Berkeley) Dept. of Economics and am currently lecturing in the Osher Life Long Learning Institute at Dominican University (San Rafael) and Sonoma State University (Rohnert Park). Next year (2019) I will also be lecturing in the Fromm Institute (University of San Francisco).

In 2006 and 2008 I was Co-Chair of the campaign to defeat Measure R (2006) and Measure Q (2008) that provided a quarter cent sales tax in the combined Marin and Sonoma county SMART district.