Utilizing data analytics to identify high-risk locations, collision patterns, and contributing factors, informing targeted road safety interventions for San Francisco's Vision Zero initiative.
This project aims to analyze traffic collision data in the San Francisco Bay Area. By identifying high-risk locations, collision patterns, and contributing factors, we inform targeted road safety interventions for the Vision Zero initiative.
- Objective 1: Analyze traffic collision data to identify high-risk locations and patterns.
- Objective 2: Provide insights to inform targeted road safety interventions.
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Overall Traffic Safety Overview:
- Visualize traffic collisions and incidents over time.
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Positive Community Feedback:
- Community feedback analysis and visualization.
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Incident Reduction Analysis:
- Analysis of collision reduction over time.
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High-Risk Locations Identification:
- Map visualization highlighting high-risk collision locations.
- Traffic Collision Heatmap Analysis (R Markdown):
- Objective: Visualize collision density using heatmaps.
Here, The density plot map indicates a higher concentration of severe injuries and fatalities within the central San Francisco area, suggesting a potential need for increased traffic safety measures in this densely populated region on the eastern part of SF.
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Sentiment Analysis (Jupyter Notebook):
- Objective: Analyze sentiment of traffic-related reports.
- Objective: Analyze sentiment of traffic-related reports.
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Tableau Dashboard Analysis:
- Objective: Provide a comprehensive visualization of collision data.