15:13 → [[MIT/Thesis/Dual/USP]] candidate → [[using serendipity and experiential analysis to measure urban quality]] → potential structure → Thesis: Urban Quality in the Experiential City →
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Method Overview

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Define and operationalize two axes of urban quality:

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Efficiency: proximity to amenities, transit coverage, walkability (using OSM, GTFS, Walk Score, etc.)

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Serendipity: POI diversity, semantic adjacency, ambiguous use, temporal variance, street network entropy

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Use publicly available or purchasable datasets:

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OpenStreetMap

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SafeGraph / Veraset / Cuebiq

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Yelp, Foursquare, Google Places

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GTFS feeds and transit APIs

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Facebook or Eventbrite event data

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Map and score neighborhoods on both axes

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Identify spatial typologies and performance quadrants:

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High-efficiency / high-serendipity

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High-efficiency / low-serendipity

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Low-efficiency / high-serendipity

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Low-low zones

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Analyze across scales: block, neighborhood, district

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Interpret role of 1.5 / 2.5 places in enabling rich experience

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