List of Figures

Figure 1. The bicycle compatibility index (BCI) allows practitioners to evaluate the capability of a variety of roadways to accommodate both motorists and bicyclists using geometric and operational characteristics such as lane widths, speed, and volume.

Figure 2. Curb lane width measurements when there is no bicycle lane, paved shoulder, or on-street parking lane.

Figure 3. Curb lane and bicycle lane (paved shoulder) width measurements when there is no on-street parking lane.

Figure 4. Curb lane width measurements when there is a parking lane present.

Figure 5. Bicycle lane width measurements when there is a parking lane present.

Figure 6. Data Entry worksheet.

Figure 7. Intermediate Calculations worksheet.

Figure 8. BCI and LOS Computations worksheet.

Figure 9. One use of the BCI model is to evaluate all streets in a community and produce a bicycle compatibility map like the one shown here.

Figure 10. Operational example 1 - multilane wide curb lane street in a retail/commercial area.

Figure 11. Data Entry worksheet for all application examples.

Figure 12. Intermediate Calculations worksheet for all application examples.

Figure 13. BCI & LOS Computations worksheet for all application examples.

Figure 14. Operational example 2 - two-lane collector street with bicycle lane in a residential neighborhood.

Figure 15. Operational example 3 - one-way multilane street with a shared bicycle/parking lane in a residential area.

Figure 16. Design example - original proposed design.

Figure 17. Design example - wide curb lane option.

Figure 18. Design example - paved shoulder option.

Figure 19. Data Entry worksheet layout.

Figure 20. Intermediate Calculations worksheet equations and logic.

Figure 21. BCI and LOS Computations worksheet equations and logic.

Table 1. Bicycle Compatibility Index (BCI) model, variable definitions, and adjustment factors.

Table 2. Bicycle Compatibility Index (BCI) ranges associated with level of service (LOS) designations and compatibility level qualifiers.

Table 3. Ranges of variables included in the regression model.

Table 4. Recommended truck percentages by functional classification for streets where such information is not available.

Table 5. Summary of default values used in the BCI & LOS workbook.

Table 6. Manual calculations for operational example 1 - wide curb lane.

Table 7. English units version of the Bicycle Compatibility Index (BCI) model.