ABSTRACT
This chapter shows how geographic information system (GPS) route data can be used to plan for network connectivity, to identify potential barriers in the bicycle network, and to analyze cycling behavior before and after the installation of a new facility. It uses Austin, Texas as a case study, it is the authors' hope that other cities can adopt the methods in order to make better informed planning and policy decisions regarding bicycling in their communities. The chapter demonstrates how GPS route data can be used to aid planners in making better-informed decisions regarding bicycle planning. A key component of creating a bicycle-friendly community is ensuring that all levels of cyclists can reach destinations safely and conveniently. Researchers and practitioners should therefore explore ways to create automated map-matching algorithms and other open-source data cleaning tools in order to make data processing simpler for local planning agencies.
