Improved Annual Average Daily Traffic (AADT) estimation for local roads using parcel-level travel demand modeling

Annual Average Daily Traffic (AADT) is a critical input to many transportation analyses. By definition, AADT is the average 24-hour volume at a highway location over a full year. Traditionally, AADT is estimated using a mix of permanent and temporary traffic counts. Because field collection of traffic counts is expensive, it is usually done for only the major roads, thus leaving most of the local roads without any AADT information. However, AADTs are needed for local roads for many applications. For example, AADTs are used by state Departments of Transportation (DOTs) to calculate the crash rates of all local roads in order to identify the top five percent of hazardous locations for annual reporting to the U.S. DOT. ^ This dissertation develops a new method for estimating AADTs for local roads using travel demand modeling. A major component of the new method involves a parcel-level trip generation model that estimates the trips generated by each parcel. The model uses the tax parcel data together with the trip generation rates and equations provided by the ITE Trip Generation Report. The generated trips are then distributed to existing traffic count sites using a parcel-level trip distribution gravity model. The all-or-nothing assignment method is then used to assign the trips onto the roadway network to estimate the final AADTs. The entire process was implemented in the Cube demand modeling system with extensive spatial data processing using ArcGIS. ^ To evaluate the performance of the new method, data from several study areas in Broward County in Florida were used. The estimated AADTs were compared with those from two existing methods using actual traffic counts as the ground truths. The results show that the new method performs better than both existing methods. One limitation with the new method is that it relies on Cube which limits the number of zones to 32,000. Accordingly, a study area exceeding this limit must be partitioned into smaller areas. Because AADT estimates for roads near the boundary areas were found to be less accurate, further research could examine the best way to partition a study area to minimize the impact.^

Shi'a women's participatory roles in the establishing and sustaining Shi'a religious identity in South Florida : Islamic Jaffaria Association

The research on the Muslim American community is largely Sunni specific and the purpose of this thesis is to add upon the limited scholarly work concerning the Shi'a Muslim American community. This study looks into the American Shi'a Muslim education experience at the Islamic Jaffaria Education Center (IJEC) and how it establishes and sustains a Pakistani Shiite Muslim identity. In addition, research on widespread American Muslim education shows high female participation on all levels, including, but not limited to, board and teaching positions. To see if this situation exists inside the Shi'ite communities an ethnographic study was conducted over the course of about 4 months at the IJEC. The findings show that there is also high female participation at that Shi'ite education center on all levels. The study links the high female participation with the education and how it established and is currently sustaining a Pakistani Shi'ite Muslim American identity in South Florida.