Public Transit Backbone Prepared by Robert B. Case, PhD, PE For - - PowerPoint PPT Presentation

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Public Transit Backbone Prepared by Robert B. Case, PhD, PE For - - PowerPoint PPT Presentation

Public Transit Backbone Prepared by Robert B. Case, PhD, PE For HRT-Participating Cities Transit Planning Meeting Regional Building October 26, 2018 Purpose To improve the public transit system via a vision shared by locality leadership. 2


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Public Transit Backbone

Prepared by Robert B. Case, PhD, PE For HRT-Participating Cities Transit Planning Meeting Regional Building October 26, 2018

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Purpose

To improve the public transit system…

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…via a vision shared by locality leadership.

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Candidate vision: a strong backbone

Idea: to improve and brand backbone routes, e.g. :

– higher frequency – consistent service hours – shelters (at stops meeting ridership standard)

providing:

– better service on these routes – a reliable joiner of local routes

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Identification of a draft backbone

where transit is most needed

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Where transit is most needed

  • Question:

– Where is transit most needed?

  • Problem:

– The census shows workers who ride the bus, but workers only ride the bus where there is service.

  • Solution:

– Use other census variables to develop an equation that “explains” actual bus usage (where service exists), and then apply that equation to all of Hampton Roads to find “workers ready to ride” – For development of equation, use a portion of each agency’s current service area:

  • HRT: Norfolk; WATA: Williamsburg; and Suffolk: downtown Suffolk

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Variables desired for explaining bus usage

– HRT’s TDP FY18-27, Jan. 2018, p. 3-42

  • Low income
  • Zero-vehicle households

– HRT’s Strategic Regional Transit Transformation Project,

RFP 18-76540, p. 15

  • “Most weekday trips are commuters traveling between home and work.” ->

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  • 0.3
  • 0.2
  • 0.1

0.1 0.2 0.3 0.4 Service occupations: Service occupations: - Building and grounds cleaning… Service occupations: - Personal care and service… Service occupations: - Food preparation and serving… Sales and office occupations: - Office and… Service occupations: - Healthcare support occupations Sales and office occupations: Production, transportation, and material moving… Production, transportation, and material moving… Management, business, science, and arts… Natural resources, construction, and maintenance… Natural resources, construction, and maintenance… Sales and office occupations: - Sales and related… Natural resources, construction, and maintenance… Natural resources, construction, and maintenance… Production, transportation, and material moving… Production, transportation, and material moving… Management, business, science, and arts… Service occupations: - Protective service… Management, business, science, and arts… Service occupations: - Protective service occupations: Management, business, science, and arts… Management, business, science, and arts… Management, business, science, and arts… Service occupations: - Protective service… Management, business, science, and arts… Management, business, science, and arts… Management, business, science, and arts… Management, business, science, and arts… Management, business, science, and arts… Management, business, science, and arts… Management, business, science, and arts occupations: Management, business, science, and arts… Management, business, science, and arts… Management, business, science, and arts…

Correlation to "riding bus to work, workers"

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Census tables available for explaining bus usage

  • Low-income households
  • Attached housing units
  • Service occupation workers
  • Zero-vehicle households

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Best variables for explaining usage

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bus riding to work, workers Regression Statistics Multiple R 0.60 R Square 0.36 Adjusted R Square 0.35 Standard Error 24.7491 Observations 213 ANOVA df SS MS F ignificance F Regression 2 72606.99 36303.5 59.26927 3.9E-21 Residual 210 128628.8 612.518 Total 212 201235.8 Coefficients tandard Erro t Stat P-value Lower 95% Upper 95% Intercept

  • 0.41

2.89197

  • 0.1

0.886891

  • 6.11286

5.289161 service occupations, workers 0.14 0.033497 4.2 3.36E-05 0.075958 0.208027 zero-vehicle, households 0.22 0.025487 8.6 2.1E-15 0.16845 0.268937

Current bus riders = 0.14*(service workers) + 0.22*(zero-vehicle households) Therefore, applied to the whole region: Workers ready-to-ride = 0.14*(service workers) + 0.22*(zero-vehicle households)

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Note concentrations and note gaps between agencies.

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Current Status

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Backbone Route From To Existing Route A- Jefferson Ave Newport News Transit Ctr. Bland Blvd Amtrak Station 112 B- Mercury Blvd Newport News Transit Ctr. Hampton Transit Center [to be rein C- Granby St

  • Dwntwn. Norfolk Transit Ctr.

Wards Corner Transfer Ctr. 1 D- Va. Beach Blvd Newtown Road LRT Station Artic Ave & 19th St 20 LRT EVMC / Fort Norfolk Newtown Rd LRT E- Military Hwy part Robert Hall Transfer Center Military & Little Creek 15 E- Little Creek Rd part Military & Little Creek Wards Corner Transfer Ctr. 21 F- Campostella Rd

  • Dwntwn. Norfolk Transit Ctr.

Robert Hall Transfer Center 13 G- Portsmouth Blvd

  • Dwntwn. Norfolk Transit Ctr.

Victory Crossing Transf. Ctr. 45

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30 15 15 10 30 30 60 15 10 20 30 40 50 60 70 A- Jefferson Ave B- Mercury Blvd C- Granby St D- Va. Beach Blvd LRT E- Military Hwy part E- Little Creek Rd part F- Campostella Rd G- Portsmouth Blvd Minutes

Peak-Period Frequency

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Excluding LRT, 3 routes have 15 min., 3 have 30 min., and

  • ne has 60 min.
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19.33 20.27 19.65 17.77 13.80 19.28 12.73 18.65 5 10 15 20 25 A- Jefferson Ave B- Mercury Blvd C- Granby St D- Va. Beach Blvd LRT E- Military Hwy part E- Little Creek Rd part F- Campostella Rd G- Portsmouth Blvd Hours

Week-day Span of Service (Pull-out to Pull-in)

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Most routes run for approx. 19 hours per day; 2 routes run only 13 hours.

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34 34 33 65 26 34 13 34 14 20 19 44 7 18 16 10 20 30 40 50 60 70 A- Jefferson Ave B- Mercury Blvd C- Granby St D- Va. Beach Blvd LRT E- Military Hwy part E- Little Creek Rd part F- Campostella Rd G- Portsmouth Blvd Trips

Weekend Trips

Saturday Trips Sunday Trips

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Most backbone bus routes have 34 Saturday and 18 Sunday trips; 2 routes have much fewer weekend trips.

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Possible Improvement Method

  • As done with MAX routes, cities could set-aside a

portion of their subsidy for Backbone routes.

– If the backbone routes are to be improved while maintaining the same overall subsidy (i.e. revenue neutral), cities would eliminate some underutilized local routes, transferring those subsidies to the Backbone set-aside. – In order that the overall system be improved, improvement of the backbone routes must be initially limited so that the elimination of underutilized routes is limited.

  • Post-implementation demonstration of the

effectiveness of backbone routes could make agencies more competitive for state and federal dollars.

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