Aging freeways in North America require increasing amounts of construction and maintenance activities. These work activities adversely impact mobility for motorists. A review of existing literature found that studies have estimated work zone capacity using different traffic, geometric, and work zone characteristics such as lane width, presence of heavy vehicles, driver population, weather, and number of closed lanes. However, there is little understanding of how different work activities impact traffic. The main goals of this project were to study the cause and effect relationship between type of work activity and traffic mobility through a work zone and to develop traffic flow characteristic curves using real-world traffic flow and work activity data. The use of data-driven tools enables practitioners to incorporate work zone activity impacts in their planning, design, and operation of work zones.