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61 APPENDIX A State and Provincial Agency Survey Questionnaire Quality Management of Pavement Data Collection Survey Questionnaire for NCHRP Synthesis Topic 39-01 One of the most costly parts of operating a pavement management system relates to collecting network- level pavement condition information, and agencies are faced with developing procedures and guidelines for quality management of these activities. Agencies using contractor-provided services for pavement data collection have had to develop methods for contractor selection, monitoring during the contract period, and data acceptance. 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, semi- automated and network-level manual pavement condition data collection and delivery. The synthesis will document: (1) the quality management techniques used in contractor selection, monitoring, and data acceptance by agencies that outsource the data collection; (2) the quality management techniques used for operations by in-house staff including training, certification, monitoring, and data acceptance in agencies that conduct these efforts internally; and (3) how these practices have impacted the quality of the decisions made based on the data collected. The survey consists of three types of questions: fill in the blank, chose one, and multiple choice. In the fill in the blank questions, please type the adequate answer. A choose one question allows you to choose only one response from the available response options. In the multiple choice questions you may mark/check more than one box as appropriate. Since the survey is "dynamic," you may notice that it skips some questions that are not relevant to your agency. For example, if you do not indicate that you are contracting some of the data collection activities, the survey will not display the questions on quality assurance of the delivered data. The survey has persistence if you have the cookies allowed option turned on in your computer; your response will be stored each time you press the Next Page button. Unfortunately, your stored responses will not be accessible from other computers. If this survey would be better answered by somebody else within your office, please feel free to forward it to that individual. DEFINITIONS: The following definitions are important to complete this survey. Quality Assurance: All those planned and systematic actions necessary to provide confidence that a product or facility will perform satisfactorily in service. For purposes of this survey, quality assurance activities are those that govern the acceptance of the data. Quality Control: Those actions and considerations necessary to assess and adjust production processes so as to control the level of quality being produced in the end product. It is also called process control. For purposes of this survey, quality control activities are those used to control the data collection activities, either by a data collection contractor or a road agency collecting data in-house. Quality Management: The overarching system of policies and procedures that govern the performance of quality assurance and control activities; i.e., the totality of the effort to ensure quality in the data. Please complete the electronic survey by Saturday, March 15, 2008 If you have any questions, please contact: Gerardo Flintsch, e-mail: flintsch@vt.edu, Tel: 540-231-9748. Thank you in advance for your help and cooperation with this project

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62 General Information 1) Please provide your contact information Name: ___________________________________ Agency: ___________________________________ Current Position/Title: ___________________________________ Address: ___________________________________ City, State, Zip Code: ___________________________________ Phone ___________________________________ E-mail ___________________________________ 2) 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) Approximately how many lane-miles of roadway is your agency responsible for? Less than 5,000 miles Between 5,000 and 10,000 miles Between 10,000 and 25,000 miles Between 25,000 and 50,000 miles More than 50,000 miles Pavement Data Collection Practices 4) What pavement condition data does your agency collect? (Check all that apply) Network Level Project Level Yes No Yes No Surface Distress Smoothness Frictional Properties Structural Capacity 5) Is the data collected being used to control pavement warranties, performance-based contracts, or other types of public-private partnerships (among other uses)? Yes No Not Sure 6) Does your agency use an overall pavement condition index when analyzing pavement condition? (If Yes, please name the index and list the pavement quality factors included in the "additional comments" box.) Yes No Not Sure Additional comments: _____________________________________________________________________

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63 7) What pavement distress data does your agency collect? (Check all that apply) Rutting Faulting Fatigue Cracking Spalling Longitudinal Cracking Durability Cracking Transverse Cracking Edge Cracking Map/Block Cracking Pumping Bleeding/Flushing Punch-outs Raveling Other (please specify) Shattered Slab If you selected other please specify: _____________________________________________________________________ 8) What types of distress data collection methods are employed? (Check all that apply) Network Level Project Level Yes No Yes No Walking Survey Windshield Survey Automated image collection from pavement evaluation vehicles with automated distress identification Automated image collection from pavement evaluation vehicles with manual distress identification 9) How often is network-level pavement distress condition data collected for the different types of roadways? Distress More than Once a Every 2 to Every 4 Varies Not Sure once per year 3 years years or based on year more previous condition Rural Highway Rural Arterial Rural Collector/Local Urban Highway Urban Arterial Urban Collector/Local

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64 10) How often is network-level smoothness pavement condition data collected for the different types of roadways? Smoothness More than Once a Every 2 to Every 4 Varies Not Sure once per year 3 years years or based on year more previous condition Rural Highway Rural Arterial Rural Collector/Local Urban Highway Urban Arterial Urban Collector/Local 11) How often is network-level pavement friction/macrotexture condition data collected for the different types of roadways? Friction/Macrotexture More than Once a Every 2 to Every 4 Varies Not Sure once per year 3 years years or based on year more previous condition 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? Structural Capacity More than Once a Every 2 to Every 4 Varies Not Sure once per year 3 years years or based on year more previous condition Rural Highway Rural Arterial Rural Collector/Local Urban Highway Urban Arterial Urban Collector/Local

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65 13) What type of location referencing is used to support the pavement data collection activities? (Check all that apply) Geographic Positioning System (GPS) National Differential GPS (NDGPS) Milepoints and milepost Link-node (relative references from landmarks such as bridges, intersections, and jurisdiction boundaries) Not sure Other (please specify) If you selected other please specify: _____________________________________________________________________ 14) Are you experiencing any problems with your location referencing system? (If Yes, please explain the "additional comments" box.) Yes No Not Sure Additional comments: _____________________________________________________________________ 15) Does your agency collect data for a single lane or multiple lanes? (If collecting data for a single lane causes any data issues please explain in the "additional comments" box.) Single Lane Multiple Lanes Not Sure Additional comments: _____________________________________________________________________ 16) Has your agency evaluated the option of out-sourcing pavement condition data collection? Yes No Not Sure 17) What criteria did your agency use to determine whether or not to privatize pavement condition data collection? (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) If you selected other please specify: _____________________________________________________________________

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66 18) How does your agency currently collect pavement condition data? (Check all that apply) In-house Outsourced to a Outsourced to Not collected Collection single multiple contractor contractors Surface Distress Smoothness Frictional Properties Structural Capacity Pavement Data Quality Management 19) Does your agency have a formal pavement data collection quality management plan? Yes (If possible, please provide an upload link in the "additional comments" box) No, but there is one under development No Not sure Additional comments: _______________________________________________________________________ 20) Does your agency have a formal pavement data collection quality control plan or require the contractor to develop such a plan if the data collection has been outsourced? (If Yes, please indicate how the plan was developed.) Yes No Not sure Developed by the agency Prepared by the data collection contractor Prepared by an independent third-party Other (please specify) If you selected other please specify: _______________________________________________________________________ 21) Does your agency have a formal pavement data collection quality assurance plan? (If Yes, please indicate how the plan was developed.) Yes No Not sure Developed by the agency Prepared by an independent third-party Other (please specify) If you selected other please specify: _______________________________________________________________________

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67 22) If you have a pavement data collection quality assurance plan, what percentage of the data collected do you typically review in this plan? Less than 2% 2 to 5% 6 to 10% More than 10% None 23) What type of quality checks are applied to the pavement data collected as part of your quality management program? (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) If you use automatic/semi-automatic equipment for distress data collection, have you experienced difficulties with matching the results of the automatic surveys with benchmark data collected manually? (If Yes, please explain in the "additional comments" box.) N/A Yes No Additional comments: ______________________________________________________________________

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68 25) For distress data collection, what parameters do you use to determine the accuracy of the data? Individual distresses classification, severities, and extents Overall pavement condition index Other (please specify) If you selected other please specify: _______________________________________________________________________ 26) If you use manual pavement distress surveys, approximately how many lane-miles does an average data collection team complete in a year? _______________________________________________________________________ 27) Do you require a formal certification for the in-house and/or contracted distress raters? (If yes, please briefly explain the requirements in the "additional comments" box.) Yes, certification is required for both in-house and contracted personnel Yes, but for in-house personnel only Yes, but for contractor personnel only No Not sure Additional comments: _______________________________________________________________________ Data Management Practices for Out-sourced Pavement Data Collection 28) Please select the type of data that are being collected by contractor(s) for the different types of roadways? (Check all that apply) Highway Arterial Collector/Local (Interstate) (Primary) (Secondary) Surface distress Smoothness Frictional properties Structural capacity 29) What type of data collection contract is in place? Lump-sum fixed price Cost per mile Performance-based Other (please specify) If you selected other please specify: _______________________________________________________________________

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69 30) How was the winning bidder selected? Low bid (including low bid--technically acceptable) Best value Past performance/technical ability Other (please specify) If you selected other please specify: _______________________________________________________________________ 31) How long is the contracting period? <1 year 1 year 2 years 3 years >3 years 32) Do you use the contractor quality control data as part of the quality assurance process? Yes No Not sure 33) Typically, what percentage of data must be corrected/resubmitted by the contractor? Less than 2% 2 to 5% 6 to 10% More than 10% 34) Do you have contract clauses that link payment to the quality of the collected data? 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? Yes No Not Sure 36) Overall, have you been satisfied with the performance of the data collection contractor(s) most recently or currently being used? Yes No Not Sure

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70 Data Management Practices for In-House Pavement Data Collection 37) How do data collection personnel receive initial and ongoing training? (Check all that apply) On-the-job training from experienced staff In-house training programs Local colleges and universities Professional training programs (including professional certification programs) Other (please specify) If you selected other please specify: _____________________________________________________________________ 38) What is the highest average level of education for data collection personnel? Less than high school High school Associates degree Bachelor's degree Master's degree/ PhD 39) How many years of experience do data collection personnel have on average? Less than 2 years 2 to 5 years 6 to 10 years More than 10 years 40) 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) What percentage of collected data must be corrected/resurveyed? Less than 2% 2 to 5% 6 to 10% More than 10% 42) How would you rate your agency's ability to accurately collect pavement condition data? Excellent Good Fair Poor Not sure

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71 Final Comments 43) Based on your experience, what factor(s) have the greatest impact on the quality of the pavement condition data? _____________________________________________________________________________________ _____________________________________________________________________________________ _____________________________________________________________________________________ 44) Do you envision any changes in data collection activities over the next several years? (If Yes, please explain. ) Yes No Not sure Additional comments: _____________________________________________________________________________ 45) Do you have any additional comments or recommendations? _____________________________________________________________________________________ _____________________________________________________________________________________ _____________________________________________________________________________________ Please send any information and documentation that you think may be of use for this project to Gerardo Flintsch, e-mail: flintsch@vt.edu, 3500 Transportation Research Plaza, Blacksburg, VA 24061, Tel: 540-231-9748, Fax: 540-231-1555.