Current Issues in Motor-Fuel - PowerPoint PPT Presentation

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Current Issues in Motor-Fuel

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Ensure that each State is providing reliable, accurate motor-fuel data ... Revenue Departments. Excel. Spreadsheets. Reviews. 551M/556. Table. Generation. State DOT ... – PowerPoint PPT presentation

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Title: Current Issues in Motor-Fuel


1
Current Issues in Motor-Fuel
  • Barna Juhasz
  • Director, Office of Highway Policy Information
  • February 19, 2003

2
Why are we here?
  • Ensure that each State receives its share of
    Highway Trust Fund consistent with Title 23
    U.S.C.
  • Ensure that each State is providing reliable,
    accurate motor-fuel data
  • Recognize efforts to date to ensure quality
    motor-fuel data
  • Get your input as to how we continue to make
    process improvements

3
Getting Acquainted
4
Getting Acquainted
  • How many State representatives?
  • State DOTs?
  • Other State agencies?
  • How many FHWA representatives?
  • How many Division Office attendees?
  • How many Resource Center attendees?
  • Anyone else?

5
Getting Acquainted
  • How many work as planners?
  • How many auditors?
  • How many financial managers?
  • How many analysts?
  • How many managers?
  • Anyone else?

6
Motor Fuel Related Statistics
  • 47
  • 27
  • 5
  • 1
  • 0

7
Motor Fuel Related Statistics
  • 47 States Using Smart Tool
  • 27 Motor Fuel Reviews Initiated
  • 5 States with Gasohol Issues
  • 1 Error
  • 0 Still the Expectation

8
  • Key Areas
  • Discuss data quality concepts
  • TEA-21 Effects
  • Overview of the process as it existed in 1999
    as it exists today
  • Recognize FHWA Motor-Fuel Reassessment
  • GAO review of the motor-fuel attribution process
    and their recommendations

9
Plain English on Data Quality Seven Deadly
Misconceptions
  • Properties of Quality Information
  • .quality in all characteristics .
    completeness, accuracy, timeliness, clarity of
    presentation
  • . must consistently meet knowledge worker and
    end-customer expectations.

10
Plain English on Data Quality Seven Deadly
Misconceptions
  • .process of information quality improvement is
    one of continuous improvement of any and all
    processes to eliminate the causes of all
    defective data

11
Office of Highway Policy Information (OHPI)
Interpretation
  • Quality Information Requires Quality in Each Step
    of the Information Process
  • From definition of data to be collected
  • Through collection, reporting, processing
  • Through assessment and analysis
  • Through presentation and dissemination

12
TEA-21
13
Motor Fuel System Flow Chart(pre-2002)
Revenue Departments
State DOT
Reviews 551M/556
Hard Copy 551M/556
FHWA HQ
Apportionment Factors
Revisions Including Model Data
Apportionment Funds
Highway Statistics
Table Generation
14
FHWA Motor-Fuel Reassessment
  • Purpose
  • Identify any changes needed to assure fair
    equitable treatment of all States
  • Established outside working group
  • State DOTs, DORs, FHWA DOs
  • Identified weaknesses
  • Methodology
  • Processing

15
FHWA Reassessment Findings
16
Motor Fuel Smart System Flow Chart
Reviews 551M/556
State DOT
Revisions
Revenue Departments
Submit 551M/556
FHWA HQ
Apportionment Factors
Highway Statistics
Table Generation
17
OHIP Quality Initiatives
  • Involve State as partners
  • Use State data to the maximum extent possible
  • 100 electronic data submission
  • Develop smart system including smart data
    submittal tool

18
GAO Review
19
(No Transcript)
20
GAO 1 Ensure independent verification of State
data
21
GAO 2 Fully document attribution methodology
  • Multi-level documentation strategy
  • August 1998 TEA-21 and Estimates of Highway
    Trust Fund Receipts Attributable to States
  • December 2000 Your States Share Attributing
    Federal Highway Revenues to Each State
  • Spring 2001 Draft Abbreviated System
    Documentation
  • September 2001 FHWA Form 551-M Input Tool
    Users Guide
  • July 2002 Attribution and Apportionment of
    Federal Highway Tax Revenues

22
(No Transcript)
23
(No Transcript)
24
(No Transcript)
25
(No Transcript)
26
OHIP Quality Initiatives
  • Have adopted this concept for all our data
    series
  • Moving forward in all data series
  • Addressing each in turn as resources permit

27
Workshop Charge
  • Need your input to improve existing process
  • Need to learn from you
  • Jointly improve the process
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