The objective of the project is to build a model that can predict the number of bike share stations that should be created in zip codes that surround a company’s current network of bike stations. They could then use the model as a guide for an expansion effort.
strategic transport modelling framework for Active Transport (i.e. cycling and walking modes) as well as emerging micro-mobility modes
Reproducible Python data pipeline for transforming Austin shared micromobility trip records into cleaned e-scooter dataset, hourly pickup/dropoff demand images, and geospatial activity mask for spatiotemporal deep learning.
To associate your repository with the micromobility-services topic, visit your repo's landing page and select "manage topics."