bike-share

Documentation of Bike Sharing APIs 🚴🛴🛵

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

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

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

PHP library for working with the Philadelphia Indego Bike Share API

The react-native mobile app

Instances used in Bike Sharing Literature for Testing Rebalancing Algorithms

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

Python3 library for working with the Philadelphia Indego Bike Share API

Estudo de engenharia reversa da API do aplicativo Yellow 🚲🛴

🚲 - Bike share system supplementary app

An open source bike-sharing platform

Philadelphia Indego Bicycle Stations

PebBike, a simple app to show the nearest available bike hire dock on your Pebble (works both in NYC and London)

Bike sharing demand

The repository is for dublin bikes app. Look at Wiki for development progress. Website shut down due to insufficient aws creds :(

Data analysis quantifying the value of the built environment to Citibike bike stop usage.

P2P Share Biking with IoT on a Blockchain

indegophp.ericoc.com

Example of Dashing Dashboard with BCycle widgets.

Visualization of the stations included in the General Bikeshare Feed Specification

Linear Regression model for Bike sharing dataset

In this project, I used Python to explore data related to bikeshare systems for three major bikeshare systems in the United States. I performed data wrangling to unify the format of data from the three systems and write code to compute descriptive statistics. I also used "matplotlib" library that a package that is not part of the standard Python library to help me visualize the data.

🚲A JavaScript wrapper for the Mobike API