4. Data Analysis

The two primary questions addressed by the analysis of the data collected under this project were focused on the development of the bicycle compatibility index (BCI) model:

Can the comfort level ratings of bicyclists be used to develop a BCI model that can be used by bicycle coordinators, transportation planners, traffic engineers, and others to evaluate the capability of specific roadway segments to accommodate both motorists and bicyclists in their jurisdiction?

If so, what roadway and traffic operations variables are needed as input for this index?

In addition to these primary questions, several secondary questions were also addressed as part of the analysis, including:

1) Are there differences in the comfort level ratings of experienced riders vs. casual riders with respect to any of the roadway or traffic operations variables?

2) Do bicyclists in different geographic regions have the same perceptions of bicycle compatibility; i.e., are there differences in the comfort level ratings of bicyclists in the three survey cities?

3) What are the interrelationships between the variables being rated by the respondents; i.e., what interactions are important in making the ratings?

 

Effect of bicyclist experience

Regional evaluation

Model development

Model sensitivity

Special Circumstances

Level of service criteria