CTR Program Customers and Data Needs

October 9, 2013 - Performance Committee

CTR Program Customers and Data Needs

Version 3 draft for October 25 CTR Board Meeting Discussion

Customer / Objective / Purpose / Data Set Needed
Who uses our data? / What isthe customer trying to accomplish? / What can/do they use CTR data for? / What type of CTR data do they need?
Legislature /

Make decisions on funding programs

Verify program performance

Statewide key performance indicators (SOV, VMT)

Advocacy Groups /

Improve transportation system
Funding for alternatives

Create/affect policy
Understand travel choices/behaviors

Mode share data
Commuter amenity preferences and barriers

State /

Develop and maintain a complete transportation system
Prioritize strategies

Understanding statewide CTR mode share
Understanding statewide CTR VMT
Program performance
keith email on better integration of data internally with other data on system performance>

Key statewide performance indicators (mode shares, VMT),
Corridor level data

Regions /

Develop and maintain transportation system
Prioritize strategies
Allocate resources
Improve decision making
Develop regional economy

Create or affect policy
System performance
Identify strategies
Target setting
Regulatory compliance
Improve / calibrate modeling

Data for modeling (helping in calibration, etc.)
Regional level commute data

Transit Agencies/Regional transit /

Develop and operate transit system
Prioritize strategies
Allocate resources
Improve decision making

Identify strategies
Improve / calibrate modeling
Advocacy
Understand market trends

Transit mode share data
Data for modeling (helping in calibration, etc.)

Cities/Counties/Jurisdictions /

Develop and maintain transportation system
Prioritize strategies
Allocate resources
Improve decision making
Develop economy in jurisdiction

Create or affect policy
Measure program impacts
Target setting
Identify strategies
Regulatory compliance
Improve / calibrate modeling

Jurisdiction level commute data
Data for modeling (helping in calibration, etc.)

Districts/Neighborhoods/GTECs/Corridors /

Improve mobility and access
Economic development

Measure program impacts
Identify strategies
Regulatory compliance
Target setting

Area level mode share data
Area level data on employee amenity preferences and barriers

Transportation engineering consulting firms and research institutes that work for government agencies. /

Providing consulting services to government agencies and Private sector

Modeling transportation network
Researching trends

Area level commute data
Data for modeling (helping in calibration, etc.)
Origin/destination data
Modeshare data

Other state agencies… for example if get into all trips may be school drop off trips… why people don’t carpool. /

Safety programs
Local roadway improvements
Grant opportunities

Measure change in trips around specific locations
Identify strategies
Improve/calibrate modeling
Advocacy
Health Assessments/Quality of Life

level commute data
Data for modeling (helping in calibration, etc.)

Other Private Companies (such as Heartland), Amazon or Microsoft, not asCTR employer but just want the good data; INREX might be another…. Anyone who wants mode information /

Marketing

Improve their service
Target their audience
Sell more service

Data for modeling (helping in calibration, etc.)
Area level commute data
Modeshare data
Origin/destination data

Property Owners /

Attract/retain tenants
Increase profitability

Improve marketability of properties
Improve environmental impacts of properties
Reduce costs
Advocacy

District level (GTEC) commute data
Property level data on employee amenity preferences and barriers

Employers/Worksites /

Compliance
Reduce costs
Retain employees
Green business practices

Recruitment/retention
Monitor environmental impacts
Target setting
Reduce costsand increase value
Maintain competitiveness
Advocacy
Regulatory compliance

Worksite/employer level commute data
Employer/worksite level data on employee amenity preferences and barriers
Peer data

Individuals /

Maximize comfort and convenience
Minimize costs

Advocacy with employer/worksite
Make best decisions for self

Worksite/employer - district commuting patterns
Employer/worksite level data on employee amenity preferences and barriers