Nice Ride Minnesota 2017

### Context

Bicycle ride-sharing systems have become increasingly popular in major cities. They allow people to enjoy biking around the city without investing in buying a bike for themselves, by providing affordable bike rentals. Here in the twin cities (Minneapolis/St. Paul, MN) we have the bike-sharing nonprofit [Nice Ride MN](https://www.niceridemn.org/). Customers can rent bikes at stations, each of which has docks for several bikes, and are scattered throughout the cities. Customers can then bike around, and return their bike at any other station (providing there's an empty dock for it). Nice Ride MN provides public access to their historical data [here](https://www.niceridemn.org/data/). This dataset contains Nice Ride MN's data from the 2017 year. The data is published under the [Nice Ride Minnesota Data License Agreement](https://www.niceridemn.org/data_license/). This dataset also contains daily weather data for the 2017 year from [NOAA](https://www.ncdc.noaa.gov/cdo-web/).

### Content

The dataset contains three CSV files.

**Nice_Ride_2017_Station_Locations.csv** contains information about each station, including location (latitude and longitude), the number of bike docks at that station, and the name of the station. There is one row per station, and 202 stations in the file.

**Nice_ride_trip_history_2017_season.csv** contains information about each trip in the 2017 year, including the start and end stations, start and end times/dates, the account type of the renter (member/non-member), and the duration of the trip. There is one row per trip/rental, and 460718 trips in the file.

**WeatherDailyMinneapolis2017.csv** contains daily weather information for Minneapolis/St. Paul. Each row is a day, and columns include daily high temperature, daily low temperature, and precipitation.

### Acknowledgements

All the ride share data was collected, cleaned, and put together by [Nice Ride MN](https://www.niceridemn.org/). I'm just uploading it to Kaggle.

The weather data was downloaded from [NOAA's National Centers for Environmental Information](https://www.ncdc.noaa.gov/cdo-web/).

### Inspiration

- Do the number of docks at each station match the demand at those stations? Could the number of docks be more optimally distributed?
- How does riding activity depend on weather?
- Is there a seasonal dependence of bike demand independent of weather?
- How do riding patterns differ between members and non-members? At which stations would it be optimal to place ads for Nice Ride membership?
- How well can one predict the demand at each station?
- How well can one optimize the re-allocation of bikes from full, low-demand stations to empty, high-demand stations?
- When is the earliest time to start the season, or the latest time to end, without a high risk of incurring a loss for Nice Ride MN?

{'Context': '自行车共享系统在各大城市中日益受到青睐。此类系统使得民众能够在无需购置个人自行车的情况下，以经济实惠的价格享受在城市中骑行的乐趣。在本市的双城（明尼阿波利斯/圣保罗，明尼苏达州）我们有名为[Nice Ride MN](https://www.niceridemn.org/)的非营利性自行车共享项目。顾客可在遍布全城的各个站点租赁自行车，每个站点均设有多个自行车停放架。顾客骑行后，可将其归还至任何其他站点（前提是该站点有空余的停放架）。Nice Ride MN向公众开放其历史数据[此处](https://www.niceridemn.org/data/)。本数据集包含Nice Ride MN 2017年的数据。数据发布遵循[Nice Ride Minnesota数据许可协议](https://www.niceridemn.org/data_license/)。此外，本数据集还包含了2017年来自[NOAA](https://www.ncdc.noaa.gov/cdo-web/)的每日天气数据。', 'Content': '本数据集包含三个CSV文件。

**Nice_Ride_2017_Station_Locations.csv** 包含关于每个站点的信息，包括位置（经纬度）、该站点自行车停放架的数量以及站点名称。每个站点占一行，共有202个站点。

**Nice_ride_trip_history_2017_season.csv** 包含2017年每趟骑行旅程的信息，包括起始和结束站点、起始和结束时间/日期、租借者账户类型（会员/非会员）以及行程时长。每趟骑行/租赁占一行，共有460718趟旅程。

**WeatherDailyMinneapolis2017.csv** 包含明尼阿波利斯/圣保罗的每日天气信息。每行代表一天，包含每日最高气温、最低气温和降水量。', 'Acknowledgements': '所有共享骑行数据均由[Nice Ride MN](https://www.niceridemn.org/)收集、整理并整合。我仅负责将其上传至Kaggle。

天气数据来自[NOAA的国家环境信息中心](https://www.ncdc.noaa.gov/cdo-web/)。', 'Inspiration': ['各站点自行车停放架的数量是否与该站点的需求相匹配？能否更优化地分配停放架的数量？', '骑行活动如何受天气影响？', '是否存在独立于天气的季节性自行车需求变化？', '会员与非会员的骑行模式有何不同？在哪些站点投放Nice Ride会员广告将最为有效？', '能否准确预测每个站点的需求？', '能否优化自行车从需求低、停放架满的站点向需求高、停放架空的站点重新分配的效果？', '何时开始季节，或何时结束季节，才能最大程度降低Nice Ride MN遭受损失的风险？']}