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 NeededWho 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