With modern times requiring new social norms due to Covid-19, one major issue today is maintaining social distancing, limiting spread of the virus, while still supporting local businesses. Today due to the large number of mobile devices there is plenty of time specific information on the amount of foot traffic that an individual location receives, however this information is usually hidden away in major applications such as Google Maps. Therefore, we thought to build an app that would make it easier to look at what times are certain locations within knoxville are popular to foster a decision make process centered around encouraging travel to these locations during less popular times in order to avoid congregation of large crowds and potential spread of the virus.
What it does
Covid-19 Mobility Tracker is a way to plan trips out for groceries or restaurants while making conscious decisions to avoid peaks. The app is designed so that people can see at what times locations are busy and make a conscious decision to go out at times that they are less busy.
How we built it
Our project is built on a Flask web server to handle all the data processing and formatting to be useful for the frontend. The backend is service-oriented so the only 2 functions are: send the index.html to the browser, and respond to API requests. The frontend uses VueJS.
Challenges we ran into
The largest challenges we ran into was getting the mapbox API's working. Data processing and formatting were also a challenge as it pulled from many online data sources that required separate formatting processes.
Accomplishments that we are proud of
The individual mobility data is represented on the map and easily viewable.
What we learned
We realized that there is a treasure trove of data online involving the ongoing COVID-19 pandemic that is largely hidden and difficult for the public to see. We realized that large data sets are only a few goggle searches away and that there are many tools available to present this data.
What's next for Covid-19 Mobility Tracking
The hope would be to add in better data analytics and to use the data here to predict future trends to allow people to make better decisions on when it is the best time to head out while avoiding the crowds.