[4N4-IS-1c] Knowledge engineering (3/3)

[4N4-IS-1c-01] The Best Place in Tokyo for Anything

Classifying Stations by Walkability to Specific Amenities

〇Aaron Louis Bramson^1,2,3, Megumi Hori¹ (1. GA Technologies, 2. RIKEN Center for Biosystems Dynamics Research, 3. Ghent University)

Keywords:Classification, Walkability, Geospatial Information

Walkability analyses have recently gained attention for economic, health, and environmental reasons. We find clusters of areas with similar walkability profiles among the train stations of central Tokyo. First, we use a breadth-first search algorithm on the road network to determine the walkable areas within 5, 10, and 15 minutes of each station. We then collect the establishments within 50m of any traversed edge. We perform three analyses: (1) classifying regions by the numbers of stores of each type, (2) recursive feature selection and reclassification, and (3) scoring areas by their specialization in one of the categories. We find that classification without feature selection produces more useful results, and in both cases the <15 minute isochrones yield the best results. We also achieve realistic specialization results. These methods can be broadened to identify regions that are over- and under-serviced by amenities with impacts for both policy and business planning.