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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