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Over the past two decades, transportation engineers and urban planners have become increasingly interested in using performance measures to capture roadway infrastructure effects on bicyclists' comfort levels. In this study, a tool is developed for evaluating Ohio's local roads and identifying opportunities for improvement. This begins by assessing the available data sources required to develop a customized model for Ohio, United States. Stakeholder interviews and data assessment outcomes indicate that most local jurisdictions do not have access to all relevant data for a complete bicycle level of traffic stress (LTS) analysis. Therefore, we extend the original bicycle LTS framework by formulating effective methods to deal with missing data. The designed methods are based on Ohio's functional classification system, and existing data on speed limits, traffic volumes, and bicycle facility widths. Our approach enables …