NYC Bike Sharing Network: Time-Series Enhanced Nodes and Edges Dataset

This dataset presents a comprehensive graph representation of the New York City Bike Sharing system, structured with nodes representing stations and edges delineating trips between these stations. The dataset is distinctive in integrating dynamic properties as time series data, which are meticulously updated using historical records (csv files) and live data feeds (gbfs files) provided by NYC Bike sharing system. 

Nodes:

Source: Data is collected from the New York City Bike Station Information API.

Attributes:

ID: Unique identifier for each station.

Name: Name of the station.

Capacity: Number of bikes the station can accommodate.

Short ID: A condensed identifier used internally.

Time Series Data:

Updated every 5 minutes from the Station Status API.

Captures changes in bike availability, recording values only when they differ from previous data points.

Edges:

Source: Compiled from trip data provided in CSV format specific to NYC Bike Sharing.

Attributes:

Trip Counter: Total number of trips recorded.

Bike Type Counter: Counts trips made with electric versus classic bikes.

Trip Type Counter: Separates trips made by members versus casual riders.

Active Trips Tracker: Tracks the number of active trips at any given moment.

Aggregation: Trip data between identical start and end points, in the same direction, are aggregated into a single edge, with time-series tracking the frequency of these trips.