I collected a collection of Mobike trajectory data from Shanghai on the internet, in CSV format. The dataset consists of over 100000 pieces of data, including order number, vehicle number, user number, order start time, start position longitude, start position dimension, order end time, end position longitude, end position dimension, and cycling trajectory point.
I don’t want to use Python or R to handle it because I’m not good at it myself. So I wanted to try using KNIME, but I didn’t expect the processing efficiency to be very good. Take this opportunity to share with everyone.
Of course, currently KNIME has released a geospatial node library, which can also be combined if you are interested. They are all very good node libraries.