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STANFORD BIKE TRAFFIC

This project aims to make observations on daily Stanford bike traffic at specific times and express those observations through clear and creative visualizations. By analyzing the data, we aim to arrive at conclusions about the safety of chosen locations on the Stanford campus throughout the day.

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STANFORD BIKE TRAFFIC

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  1. STANFORD BIKE TRAFFIC Marisa Macias Janet Yu Xijia Chen

  2. Goals of the Project • Make observations on daily Stanford traffic at specific times • Express those observations using clear and creative visualizations • Arrive at a conclusion about the safety of chosen locations on the Stanford campus throughout the day

  3. Assumptions Made • Most traffic occurs during given times between classes • 10 min. before the hour (morning); 5-15 min. after the hour (afternoon) • Traffic consistent throughout week • Monday is the same as Tuesday, etc. • Skateboarders, Rollerbladers, and Cars ignored • Assumed that they constituted small percentage of traffic

  4. Problems Encountered • Limited time in which to accomplish project • Human error • Too many people • Bicyclists doing U-turns • Conditions not indicative of year-round traffic • Weather sunny for all four days

  5. Choice of Method • Criteria: • 3D --> 3D visualizations • Creative and clear • Possible Candidates: • Scatter plots, line plots, density plots, bar graphs, pie charts • Process of elimination

  6. The Chosen Methods • Parallel Plot Bar Graphs • Color clearly differentiates type of traffic • Independent variables: time vs. location • Dependent variables: number of bicyclists, pedestrians, and helmets • Density Plot • Clearly see totals at one time • Color also used to identify types of traffic

  7. Conclusions • Traffic generally decreases over time • Higher percentage of helmets later in the day • Tower and Gates had most traffic in one day • Tower at 1:05 - 1:15 PM -- most bicyclists and pedestrians w/ small percentage of helmets • Amount of helmets compared to bicyclists small

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