How Is Big Data Transforming Parking in NYC?

TL;DR

Big data is revealing crucial insights into parking challenges in New York City, such as identifying the worst places to park. This analysis uses GPS data from taxis and city datasets to uncover patterns, like the average speeds during the day and hotspots for parking tickets. Improved access to open data can empower citizens to advocate for better infrastructure and parking regulations.

Transcript

Six thousand miles of road, 600 miles of subway track, 400 miles of bike lanes and a half a mile of tram track, if you've ever been to Roosevelt Island. These are the numbers that make up the infrastructure of New York City. These are the statistics of our infrastructure. They're the kind of numbers you can find released in reports by city agencies... Read More

Key Insights

• 🏢 The infrastructure of New York City is comprised of thousands of miles of road, subway track, bike lanes, and tram track, as reported by city agencies.
• 📊 City agencies collect and release statistics on various aspects of the city's infrastructure, such as the number of taxis, which can be accessed through Freedom of Information Law Requests.
• 🚕 The GPS recorders in taxis provide valuable data that can be used to answer questions about rush hour in New York City.
• 🌉 Open data legislation signed by Mayor Bloomberg in 2012 has led to the release of over 1,000 datasets on the city's open data portal.
• 📝 However, some data is still only available in PDF form, which requires citizens to write programs to extract and analyze the information.
• 🗺️ The availability of standardized data would make it easier for citizens to analyze and map information, such as the most dangerous intersections for cyclists in New York City.
• 💦 The city's waterways have varying levels of fecal coliform, with inland waterways generally being dirtier.
• 🎟️ The top grossing fire hydrants in terms of parking tickets are concentrated on the Upper East Side, with some locations causing confusion for drivers due to conflicting parking regulations.

Questions & Answers

Q: What kind of data can be found in reports released by city agencies?

Reports released by city agencies contain statistics about the infrastructure of New York City, such as the number of miles of road, subway track, bike lanes, and tram tracks that exist.

Q: How did the city make its data more accessible?

In 2012, Mayor Bloomberg signed into law open data legislation, which led to the release of 1,000 datasets on the city's open data portal. This made the data more accessible to the public.

Q: How did a citizen obtain the taxi data used in the video?

The citizen, Chris Whong, submitted a Freedom of Information Law Request to the Taxi and Limousine Commission. He was then required to bring a brand new hard drive to the agency's office, where they copied the data onto it for him to take back.

Q: What was the process of accessing the data on cyclist accidents in the video?

The data on cyclist accidents was initially in PDF format on the NYPD's website. Citizen John Krauss created a program called the NYPD Crash Data Band-Aid to scrape the data from the PDFs and make it accessible for analysis.

Q: Why is it important to make data more accessible in standardized formats?

Normalizing and standardizing data can save citizens and agencies time in analyzing and using the data. It also allows for more efficient sharing and collaboration among different stakeholders.

Summary & Key Takeaways

• The infrastructure of New York City includes thousands of miles of road, subway track, bike lanes, and tram track.

• City agencies release reports with statistics about the infrastructure, such as the Department of Transportation reporting on road maintenance and the MTA boasting about subway track miles.

• Open data legislation has been signed into law in New York City, leading to the release of 1,000 datasets on an open data portal, allowing citizens to ask and answer different questions about the city.