Documentation of Bike Sharing APIs 🚴🛴🛵

Documentation for the General Bikeshare Feed Specification, a standardized data feed for shared mobility system availability. Maintained by MobilityData

A data standard to enable right-of-way regulation and two-way communication between mobility companies and local governments.

This is the public repository of the MADBike app for iOS. Public bike rental service for BiciMAD.

Comparison of driving and bicycling times in Paris and neighborhoods

🚲 free bike for everyone 🚲

Bike sharing prediction based on neural nets

Developed as coursework for Udacity "Deep Learning Fundamentals" Nanodegree

Python script written to explore US bikeshare data

In this project, I implemented LSTM model to predict hourly Bike Share Demand

OpenAPI description for MDS data feeds, managed by the Open Mobility Foundation.

An implementation of the Ant Colony optimization algorithm (ACO) for the capacitated vehicle routing problem (CVRP) for bike sharing rebalancing

Clustering Bike Share Toronto time series data to identify temporal behavioural motifs.

Mapping Bike station location in relation to poor housing conditions and 2015 median household income of census tracts in Pittsburgh, PA

A slim and low-network-use mobile web app for many common bike sharing systems.

Python3 library for working with the Philadelphia Indego Bike Share API

PHP library for working with the Philadelphia Indego Bike Share API

The react-native mobile app

The objective of the project is to build a model that can predict the number of bike share stations that should be created in zip codes that surround a company’s current network of bike stations. They could then use the model as a guide for an expansion effort.

Instances used in Bike Sharing Literature for Testing Rebalancing Algorithms