ASPIRE uses a deep learning model and city-specific data to score urban walkability, evaluating infrastructure impacts on climate goals and guiding sustainable urban planning. Note that for the demo, the mathematical model will collect a miscellany of information about your city and then run this data through a machine learning model.

NOTE: Due to the amount of data processed and time to run the model,
it may take from 10 - 30 seconds for your results to appear!