Transcript Presentation Title

Mobility MATTERS! Connecting People to Life
Who Rides the Bus? How Understanding Transit Demographic
Can Improve Service
May 7, 2015
Baltimore Regional
Transportation Board (BRTB)
• Federally Designated Metropolitan
Planning Organization (MPO)
• 11 Member Board (2 Non-Voting)
–
Transportation Plan and Program
Long Range Plan (Maximize 2040 – Completion
November 2015) ~ 58 Billion (16 Billion System
Expansion)
 Short Range Program (2016 – 2019 TIP –
Completion July 2015) ~ 650 Million

MPO Area and Model Region
• MPO Area
–
–
2.6 Mil. Pop.
1.5 Mil. Emp.
• Portion of
MWCOG
–
–
2.3 Mil. Pop.
1.7 Mil. Emp.
Data Source and Use
• National Data Sets
–
–
Decennial Census
American Community Survey



–
American Fact Finder
PUMS
Census Transportation Planning Package (CTPP)
Longitudinal Employer-Household Dynamics (LEHD)
• Local Surveys
–
Household Travel, Transit On-Board
• Travel Models - Simulation
Decennial Census Data
• Every 10 Years
• Complete Count, Data Available at
Small Geographies
–
–
Population items include sex, age, race,
Hispanic or Latino origin, household
relationship, household type, household
size, family type, family size, and group
quarters.
Housing items include occupancy status,
vacancy status, and tenure
Decennial Census Data
Baltimore City Population
Decennial Census Data
Howard County
LEP Hispanic or Latino
Heritage
2010 Census Block Population
American Community Survey
• Annual Survey ~ 1 in 38 U.S. Households
per Year Receives Invitation to Participate
• Data Products
–
–
–
1 Year ~ Areas with 65,000 Population
3 Year ~ Areas with 20,000 Population
5 Year ~ All Areas
American Fact Finder
• Existing Tabulations and Cross Tabs
–
–
–
Topics – People and Housing
Geographies – States, Counties, Census
Geography
Program – Decennial, 1, 3, and 5 Year ACS
• Advantage – Retrieve Data for Small
Geographies
• Disadvantage – Aggregate Data for
Predetermined Tabulations and Cross
Tabs
Columbia CDP, Maryland
Public Use Microdata Sample
• A Set of Un-tabulated Records About
Individual People or Housing Units –
Users Can Create Custom Tables
• 1, 3, and 5 Year Data Set – Multiyear
Combinations of 1-Year PUMS with
appropriate adjustment to Weights and
Inflation Adjustment Factors
• Public Use Microdata Area (PUMAs) –
Geographic Area with 100,000 Population
Commuting Within
Baltimore Region
Share of Household Workers Commuting Within Baltimore (MPO) Region
100
90
80
70
60
50
Upper
Share
40
Lower
30
20
10
Source: 2010 American Community Survey
1204
1203
1202
1201
902
901
806
805
804
803
802
801
602
601
507
506
505
504
503
502
501
400
0
Commuting Within
Jurisdiction of Residents
Share of Household Workers Commuting Within Jurisdiction of Residents
100
90
80
70
60
50
Upper
Share
40
Lower
30
20
10
Source: 2010 American Community Survey
1204
1203
1202
1201
902
901
806
805
804
803
802
801
602
601
507
506
505
504
503
502
501
400
0
Carroll County
Carroll County PUMA 401
Primary Work Location
50,000
45,000
40,000
35,000
30,000
25,000
20,000
Average
Upper
15,000
Lower
10,000
5,000
0
source : 2010 American Committee Survey
Baltimore County
Baltimore County PUMA 507
Primary Work Location
50,000
45,000
40,000
35,000
30,000
25,000
20,000
Average
Upper
15,000
Lower
10,000
5,000
0
source : 2010 American Committee Survey
Central/East Baltimore
City (PUMA 804)
Baltimore City Residents
Place of Birth
Baltimore City Residents
Mode of Transportation
to Work
Census Transportation
Planning Package (CTPP)
• AASHTO Partnered with all of the States
on Pooled Fund Projects to Support the
Development of Special Census Products
and Data Tabulations for Transportation
• Proves Understanding of Characteristics
about Where People Live and Work, their
Journey to Work Commuting Patterns and
the Modes they Use for Getting to Work
• Transportation Analysis Zones (TAZ)
Carroll, Freedom Area
Residents Travel Mode to
Work
Workers Travel Time to
Work by Transit
Longitudinal EmployerHousehold Dynamics (LEHD)
• Public-Use Information Combining Federal,
State and Census Bureau Data on
Employers and Employees
• States Share Unemployment Insurance
Earnings Data and the Quarterly Census of
Employment and Wages (QCEW) Data
Combined with Additional Administrative
Data and Data from Censuses and Surveys
Cherry Hill Residents Work
Location 2011 LEHD
Cherry Hill – Workers
Distance and Direction
Cherry LEHD Worker Flows
Cherry Hill - GTFS
Intensity (Residents + workers)
Transit Station Typology
Housing
Urban Neighborhood
Urban Center
CBD/Special District
Transit Neighborhood
Mixed Use Center
Business District
Suburban Neighborhood
Neighborhood Center
Office/Industrial District
Mix (ratio of workers to residents)
Employment
Intensity (Residents + workers)
Transit Station Typology
Housing
Urban Neighborhood
Urban Center
CBD/Special District
Transit Neighborhood
Mixed Use Center
Business District
Suburban Neighborhood
Neighborhood Center
Office/Industrial District
Mix (ratio of workers to residents)
Employment
Baltimore Region 2040
Typology
Transit Propensity Index
Local Survey Data 2001
Household Travel Survey
2007 On-Board Transit
Survey – Household Income
2007 On-Board Transit
Survey – Access Mode
100%
Share
90%
80%
70%
60%
No Answer
Other
Drive
Carpool
Taxi
Bicycle
Drop Off
Walk
50%
40%
30%
20%
10%
0%
BUS
RAL
CRL
Mode
All
2007 On-Board Transit
Survey – Vehicle Available
100%
Share
90%
80%
70%
60%
No Competition
Competition
No Vehicle
50%
40%
30%
20%
10%
0%
BUS
RAL
Mode
CRL
Share
2007 On-Board Transit Survey
– Employer Fare Payment
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
No Answer
Emp Full
Emp Part
Emp None
Not Employed
BUS
RAL
Mode
CRL
Travel Model Simulations –
Home-Based Work Mode Share
For More Information
Charles Baber
Phone: 410-572-0500 extension 1056
www.baltometro.org