Our Research Papers

  • Using Deep Learning to Quantify the Beauty of Outdoor Places

    Royal Society Open Science

  • Happiness Greater in More Scenic Locations

    Happiness Greater in More Scenic Locations

    Nature – Scientific Reports

  • Street-Frontage-Net: Urban Image Classification Using Deep Convolutional Neural Networks

    Street-Frontage-Net: Urban Image Classification Using Deep Convolutional Neural Networks

    International Journal of Geographical Information Science

  • Quantifying the impact of scenic environments on health

    Quantifying the Impact of Scenic Environments on Health

    Scientific Reports

  • Quantifying scenic areas using crowdsourced data

    Quantifying Scenic Areas Using Crowdsourced Data

    Urban Analytics and City Science

  • Quantifying the Link Between Art and Property Prices in Urban Neighbourhoods

    Quantifying the Link Between Art and Property Prices in Urban Neighbourhoods

    Royal Society Open Science

  • Generative AI for Architectural Facade Design

    In preparation

  • The intangible value of street-level urban design using a machine learning approach: urban beauty, active frontage and street greenery

    In preparation