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🚲 Analyzing the Intersection of Citi Bike Usage, Traffic Congestion, and Poverty in NYC

Streamline App

According to the instructions, we have created the app prototype in Streamline using data only from Queens, as a preview (to avoid overloading the system). Please enter here: https://advanced-computing-citib-citibike-projectappcitibike-app-vjledi.streamlit.app/

Methodological note for the user: we have chosen not to establish scatterplots or heatmaps yet (despite having the data, as will be seen on the second page) due to discrepancies in neighborhood names (and geolocation) between official datasets. Therefore, both datasets are presented separately to avoid any confusion or assumptions about this relationship. This will be discussed and modified for later sections of the app; for now, it is just a preview, following the suggested guidelines.

👥 Team Members

Krishna Kishore and Angel Ragas

📌 Project Overview

This project investigates how Citi Bike usage varies across NYC neighborhoods with different levels of poverty and traffic congestion. It aims to identify patterns in bike-sharing adoption, trip durations, and station placements in relation to socioeconomic factors and traffic conditions.

🎯 Research Questions

  • How does Citi Bike usage exhibit different patterns across NYC neighborhoods with varying levels of poverty and traffic congestion?
  • What type of relationship (positive, negative, or none) exists between poverty levels, traffic congestion, and Citi Bike trip duration?
  • Do neighborhoods with high levels of poverty and traffic congestion experience lower Citi Bike adoption rates?
  • How do similar traffic congestion patterns across different income brackets affect Citi Bike trip patterns?
  • Are Citi Bike stations strategically located in areas with higher levels of poverty and congestion, providing an alternative mode of transportation?
  • Bike usage and traffic speed patterns within the day.
  • Are bikes primarily used where people live or where they work?
  • Which stations have the least and most bikes available? Are there any stations with consistently low availability?
  • Did the adoption of congestion pricing affect Citi Bike usage and traffic speeds?

📊 Datasets Used

The project integrates multiple datasets:

  1. Citi Bike Monthly Trip Data:

    • Contains details about bike trips, including start and end times, station locations, trip durations, and user types.
    • Source: Citi Bike Trip Data

  2. NYC DOT Traffic Speeds NBE Dataset:

    • Provides real-time and historical traffic speed data for road segments across NYC.
    • Source: DOT Traffic Speeds NBE

  3. NYC Department of City Planning’s Districts and Boundaries:

    • Defines community district boundaries, boroughs, and other geographic divisions.
    • Source: NYC Planning Open Data

  4. NYCgov Poverty Measure Data (2018) (Under Evaluation):

    • While initially considered, this dataset lacks location-based references beyond the borough level.
    • We may use American Community Survey (ACS) or NYU Furman Center data for a more precise poverty measure.

📌 Setup & Usage Instructions

** 1. Clone the Repository**

To get started, clone the repository to your local machine:

git clone https://github.com/advanced-computing/citibike_project.git cd citibike_project

2. Create and Activate a Virtual Environment

To ensure dependencies are managed properly, create and activate a virtual environment.

✅ For macOS & Linux:

python3 -m venv .venv source .venv/bin/activate

✅ For Windows (Command Prompt):

python -m venv .venv .venv\Scripts\activate

3️⃣ Install Dependencies

After activating your virtual environment, install the required dependencies from requirements.txt: pip install -r requirements.txt

Note: The setup section will be continuously updated over time.

🎯 Open in Colab button

  • Please click here:
Open In Colab Or you could go directly to here: - Please click here: https://colab.research.google.com/github/advanced-computing/citibike_project/blob/main/citibike_project/Project_part_1.ipynb