Click for next page ( 73

The National Academies | 500 Fifth St. N.W. | Washington, D.C. 20001
Copyright © National Academy of Sciences. All rights reserved.
Terms of Use and Privacy Statement

Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.

OCR for page 72
72 APPENDIX B Service Providers 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. 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 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. 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 company, 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. 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 cob Monday, April 15, 2008 If you have any questions, please contact: Gerardo Flintsch, e-mail:, Tel: 540- 231-9748. Thank you in advance for your help and cooperation with this project

OCR for page 72
73 General Information 1) Please provide your contact information Name: ___________________________________ Company: ___________________________________ Current Position/Title: ___________________________________ Address: ___________________________________ City, State, Zip Code: ___________________________________ Phone: ___________________________________ E-mail: ___________________________________ 2) Does your company provide pavement condition data collection services? Yes No Types of Pavement Condition Data Collected 3) How long has your company been in the business of pavement condition data collection? Less than 5 years Between 5 and 10 years Between 10 and 20 years More than 20 years Not sure 4) What pavement condition data does your company collect? (Check all that apply) Yes No Surface Distress Smoothness Frictional Properties Structural Capacity 5) If you collect pavement distress data, what types of distress data collection methods do you employ? (Check all that apply) N/A Automated image collection from pavement evaluation vehicles with automated distress identification Automated image collection from pavement evaluation vehicles with manual distress identification Walking Survey Windshield Survey

OCR for page 72
74 Pavement Data Quality Management Procedures 6) Does your company 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: _____________________________________________________________________ 7) Does your company have a formal pavement data collection quality control procedure? (If Yes, please indicate how the plan was developed.) Yes No Not sure Prepared by us (data collection contractor) Prepared by an independent third-party Other (please specify) If you selected other please specify: _____________________________________________________________________ 8) If you have a formal pavement data collection quality control procedure, what percentage of the data collected do you typically review as part of this procedure? Less than 2% 2 to 5% 6 to 10% More than 10% None 9) What type of quality checks are applied to the pavement data collected as part of your quality control program? (Check all that apply) 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 is within the expected ranges Software routines that check for missing road segments or data elements Comparison with existing time-series data

OCR for page 72
75 10) On average, what percentage of collected data must be corrected/resurveyed? Less than 2% 2 to 5% 6 to 10% More than 10% 11) 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: _____________________________________________________________________ Pavement Data Collection Personnel Education and Training 12) Do you require a formal certification for the distress raters? (If yes, please briefly explain the requirements in the "additional comments" box.) Yes No Not sure Additional comments: _____________________________________________________________________ 13) 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: _____________________________________________________________________ 14) 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

OCR for page 72
76 15) 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 16) 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 Final Comments 17) Based on your experience, what factor(s) have the greatest impact on the quality of the pavement condition data? _______________________________________________________________________________ _______________________________________________________________________________ _______________________________________________________________________________ 18) Do you envision any changes in data collection activities over the next several years? (If Yes, please explain.) Yes No Not sure Additional comments: _______________________________________________________________________ 19) Do you have any additional comments or recommendations? _______________________________________________________________________________ _______________________________________________________________________________ _______________________________________________________________________________ Thanks for completing the survey! Please send any information and documentation that you think may be of use for this project to Gerardo Flintsch, e-mail:, 3500 Transportation Research Plaza, Blacksburg, VA 24061, Tel: 540-231-9748, Fax: 540-231-1555.