The On Broadway Project gathers data from a variety of sources, including Instagram, Twitter, Google Street View, and public datasets, to analyze how people interact with Broadway.
Methods of Analyzing:
1. Data Collection
The project focuses on specific types of data that reflect human behavior, such as social media activity and movement patterns.
This ensures the data is relevant to understanding how people use space
2. Data Cleaning
Before analysis, the data is cleaned by removing errors, duplicates, and irrelevant information.
This step is important to make sure the results are accurate and reliable.
3. Pattern Analysis
The project identifies patterns in the data, such as areas with high activity or strong cultural presence.
This helps reveal how different spaces are used across the city.
4. Spatial Mapping
The data is mapped onto geographic locations along Broadway.
This allows patterns to be visualized in a way that connects behavior to specific places.
5. Interpretation
The final step is interpreting what the patterns mean.
This includes understanding how factors like tourism, social media, and economics influence what becomes visible in the city.
Why These Methods Matter:
Insights:
These methods allow the project to turn raw data into meaningful insights about culture, behavior, and space
Interaction:
Instead of just showing information, the project explains how people interact with the city.
Best Practices Assessment:
Uses multiple data sources to create a more complete understanding of Broadway
Follows a clear step-by-step process from data collection to interpretation
Connects data to real-world behavior and specific locations
Combines analysis and mapping to make patterns easier to understand