BixiFlow website

Context:

These days, people are talking more and more about transport as a way of helping to improve

the planet. One of the most talked-about topics is cycling.

Objective:

Our project aims to provide a deeper understanding of the usage patterns of Montreal's Bixi

bike-sharing stations. By leveraging open-source data, we intend to analyze and visualize the

availability and demand dynamics at different Bixi stations. This analysis will help identify how

often stations are crowded and the likelihood of finding an available bike at any given time.

Background:

In the era of sustainable transportation, cycling has gained prominence as an eco-friendly

commuting option. Bixi, Montreal's bike-sharing system, is at the forefront of this shift. However,

users often face challenges in determining the availability of bikes at stations, as current

applications provide limited real-time data. Our project seeks to bridge this gap by offering a

more nuanced view of station usage.

Application use:

1. Click the URL to use the application

2. Click on the map to put a marker on your preferred location

3. The Bixi markers will appear around your location

4. To access comprehensive statistics on Bixi bikes, including data on their usage

frequency over various years, click on the "Stats for Nerds" button

5. To reset the markers click on the logo in the top left corner right next to BixiFlow

6. (Not yet implemented) To search a more specific location click on the search bar at the top of the page

Challenges: First of all, the small bugs that took longer than expected were some of the challenges. But we think one of the hardest challenges was getting everyone's ideas across and understanding each other's ideas. So, even though it took a while to understand everyone and agree on the main idea, it helped everyone understand what needed to be done and what was supposed to be done.

Lessons learned: It's perfectly normal to take longer to understand something, and we shouldn't be afraid to share our ideas, because someone's ideas may actually help someone else's idea. This kind of process can improve the project and make teamwork more efficient and less stressful.

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