1 research outputs found
City-Wide Perceptions of Neighbourhood Quality using Street View Images
The interactions of individuals with city neighbourhoods is determined, in
part, by the perceived quality of urban environments. Perceived neighbourhood
quality is a core component of urban vitality, influencing social cohesion,
sense of community, safety, activity and mental health of residents.
Large-scale assessment of perceptions of neighbourhood quality was pioneered by
the Place Pulse projects. Researchers demonstrated the efficacy of
crowd-sourcing perception ratings of image pairs across 56 cities and training
a model to predict perceptions from street-view images. Variation across cities
may limit Place Pulse's usefulness for assessing within-city perceptions. In
this paper, we set forth a protocol for city-specific dataset collection for
the perception: 'On which street would you prefer to walk?'. This paper
describes our methodology, based in London, including collection of images and
ratings, web development, model training and mapping. Assessment of within-city
perceptions of neighbourhoods can identify inequities, inform planning
priorities, and identify temporal dynamics. Code available:
https://emilymuller1991.github.io/urban-perceptions/