Project Launch time: Sep 2021
Contributor: Liming Wei
This project analyzes mobile users' point of interestin the US and classifies them into different groups diner/delivery worker at Boston area. It is similar to anther project where I look at hotel/non-hotel traveler patterns in the U.S. The user point of interest dataset includes:
0: unix timestamp (0 means 00:00:00 Jan. 1, 1970. Every passing second will add 1), 1: user id, 2: device type 3: latitude 4: longitude 5: precision of lat and lon. The unit is meters. 6: time difference, add 6 and 1 will give you local time.
To incorporate the POI dataset with the local commerical coordinates(i.e, restaurants, hotels, etc), a US geographical coordinates dataset from Safegraph was collected at https://www.safegraph.com/