Understanding the specific qualities of dynamic factors that shape how urban environments work is important to analyzing these environments effectively. Prominent among these factors is the movement of people and the patterns or trends that emerge from that movement over time. In order to better study movement as a dynamic factor in how urban spaces work an academic project titled Sen-Sys (for its use of personal GPS sensors to map dynamic urban systems) was designed and implemented to a limited degree over the course of a semester to produce a movement-based model in which the proportions of urban areas are dynamically distorted to reflect areas of high and low occupation to reflect moment-to-moment spatial behavior and visual elements are generated to reflect recurring trends in movement over of time. This paper provides an overview of Sen-Sys, frames it in relation to similar existing work and discusses it's conceivable strengths, limitations and directions for future development.
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