Quality Counts for Pedestrians and Bicyclists: Quality Assurance Procedures for Nonmotorized Traffic Count Data
Abstract
As pedestrian and bicyclist monitoring increases among public agencies, data quality principles must be included in data collection practices. This paper outlines key quality assurance principles and their application to pedestrian and bicyclist traffic count data. Three key principles of quality assurance are described: (a) quality assurance starts before data are collected, (b) acceptable quality is determined by the data's use, and (c) measures can quantify varying quality dimensions. Recommendations are made for two data quality measures: accuracy and validity.
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References
1. Lee J. Bike Count Shows Jump in Cyclists. Deseret News, Nov. 1, 2011.
2. Gonzalez T. More Cyclists, Walkers Counted in Middle TN: Tally Will Influence Pedestrian Projects. Tennessean, Sept. 23, 2011.
3. Elmer V. Working: Bike Commuting on the Rise in D.C. Washington Post, April 3, 2011.
4. AMEC E&I, Inc., and Sprinkle Consulting, Inc. Pedestrian and Bicycle Data Collection: Final Report. FHWA, U.S. Department of Transportation, 2011.
5. Hjelkrem O. A., and Giaever T. A Comparative Study of Bicycle Detection Methods and Equipment. Presented at 16th ITS World Congress and Exhibition on Intelligent Transport Systems and Services, Stockholm, Sweden, 2009.
6. Macbeth A. G. Automatic Bicycle Counting. Presented at IPENZ Transportation Group Technical Transportation Conference, Institution of Professional Engineers New Zealand, Wellington, 2002.
7. Li J., Shao C., Xu W., and Li J. Real-Time System for Tracking and Classification of Pedestrians and Bicycles. In Transportation Research Record: Journal of the Transportation Research Board, No. 2198, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 83–92.
8. Little B. Pedestrian Monitoring. Presented at 9th Annual International Conference on Walking and Livable Communities, Barcelona, Spain, 2008.
9. Lindsey G., Hoff K., Hankey S., and Wang X. Understanding the Use of Non-Motorized Transportation Facilities. Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota, Minneapolis, 2012.
10. Turner S. Technical Memorandum: Task 5—Summary of Preliminary Trail Counter Evaluations, Texas A&M Transportation Institute, Texas A&M University System, College Station, 2011.
11. Greene-Roesel R., Chagas Diógenes M., Ragland D. R., and Lindau L. A. Effectiveness of a Commercially Available Automated Pedestrian Counting Device in Urban Environments: Comparison with Manual Counts. UCB-ITS-TSC-RR-2008-5. Traffic Safety Center, Berkeley, Calif., 2008.
12. Hudson J., Qu T., and Turner S. Forecasting Bicycle and Pedestrian Usage and Research Data Collection Equipment. TTI P2009330. Capital Area Metropolitan Planning Organization, Austin, Tex., 2010. http://www.campotexas.org/programs_bicped.php.
13. Gasvoda D. Trail Traffic Counters: Update. Project 9E92A46. USDA Forest Service, 1999.
14. English L. P. 7 Deadly Misconceptions About Information Quality. Information Impact International, Inc., Brentwood, Tenn., 1999. http://www.fhwa.dot.gov/policyinformation/hpms/dataquality.cfm.
15. Strong D. M., Lee Y. W., and Wang R. Y. 10 Potholes in the Road to Information Quality. Computer, Vol. 30, No. 8, 1997, pp. 38–46.
16. English L. P. Improving Data Warehouse and Business Information Quality. John Wiley & Sons, New York, 1999.
17. Turner S. Defining and Measuring Traffic Data Quality: White Paper on Recommended Approaches. In Transportation Research Record: Journal of the Transportation Research Board, No. 1870, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 62–69.
18. Turner S., Richardson J., Fontaine M., and Smith B. Guidelines for Evaluating the Accuracy of Travel Time and Speed Data, Version 1. Virginia Department of Transportation, Richmond, 2011.
19. Turner S. Quality Control Procedures for Archived Operations Traffic Data: Synthesis of Practice and Recommendations. FHWA, U.S. Department of Transportation, 2007. http://www.fhwa.dot.gov/policy/ohpi/reports/qcproc/index.htm.
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Article first published online: January 1, 2013
Issue published: January 2013
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