Introduction
Citibike, New York's bike sharing system, releases public data. Citi Bike makes data available for every individual trip in the system. This is an article about CitiBike analysis. The report includes four parts Abstract, Data, Analysis and Result, which will be described in the following parts.
Abstract
The idea behind the analysis is to test whether young or old people commute more. Commuters are the crowd who use the bike share system over the weekdays. The Null hypothesis can be formulated as: "The ratio of young people( age < 35) biking on weekends over young people biking on weekdays is greater than or equal to the ratio of old people( age >= 35) biking over weekends to old people biking on weekdays"
\(H_0:\frac{Oweekend}{Oweek}\le\frac{Yweekend}{Yweek}\)
\(H_1:\frac{Oweekend}{Oweek}>\frac{Yweekend}{Yweek}\)
significance level: \(\alpha\ =\ 0.05\)
Data
In this analysis, the data is based on the citibike usage in April. 2016. There are several attributes in dataset. Each trip record includes:
- Station locations for where the ride started and ended
- Timestamps for when the ride started and ended
- Rider gender
- Rider birth year
- Whether the rider is an annual Citi Bike subscriber or a short-term customer
- A unique identifier for the bike used