Quality Management of Pavement Condition Data Collection (2009) / Chapter Skim
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Appendix A - State and Provincial Agency Survey Questionnaire
Appendix A - State and Provincial Agency Survey Questionnaire
Pages 61-71
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Agencies using staff resources for pavement data collection have had to develop similar quality control activities which include training of their staff. The objective of this survey is to support the development of a synthesis project aimed at documenting quality management practices employed by public road and highway agencies for automated, semiautomated and network-level manual pavement condition data collection and delivery.
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How long has your agency had a pavement condition data collection program? Less than 5 years Between 5 and 10 years Between 10 and 20 years More than 20 years Not sure 3)
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If you selected other please specify: _____________________________________________________________________ 8) What types of distress data collection methods are employed?
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Friction/Macrotexture More than once per year Once a year Every 2 to 3 years Every 4 years or more Varies based on previous condition Not Sure Rural Highway Rural Arterial Rural Collector/Local Urban Highway Urban Arterial Urban Collector/Local 12) How often is network-level pavement structural capacity condition data collected for the different types of roadways?
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(Check all that apply) Cost-effectiveness Scope of data collection requirements Availability of qualified contractors Capability of in-house data collection teams Experiences of other agencies that have out-sourced data collection N/A Other (please specify)
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If you selected other please specify: 21) Does your agency have a formal pavement data collection quality assurance plan?
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(Check all that apply) Quality Control Quality Assurance Yes No Yes No Calibration of equipment and/or analysis criteria before the data collection Testing of known "control" segments before data collection Periodic testing of known "control" segments during production Periodic testing of blind "control" segments during production Verification of sample data by an independent consultant Verification of the post-survey processing software/procedures Cross-measurements; i.e., random assignment of repeated segments to different data collection teams or automatic measuring devices Statistical/software routines that check for inconsistencies in the data Software routines that check if the data are within the expected ranges Software routines that check for missing road segments or data elements Comparison with existing time-series data 24)
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Surface distress Smoothness Frictional properties Structural capacity 29) What type of data collection contract is in place?
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Yes No Not Sure Additional comments: 35) Overall, would you consider the outsourcing of pavement data collection a positive step in your pavement management practices?
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Approximately how many hours per year do data collection personnel receive ongoing training? Less than 8 hours 8 to 16 hours 17 to 40 hours More than 40 hours 41)
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_____________________________________________________________________________________ _____________________________________________________________________________________ _____________________________________________________________________________________ 44) Do you envision any changes in data collection activities over the next several years?
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