City-Wide Perceptions of Neighbourhood Quality using Street View Images
- URL: http://arxiv.org/abs/2211.12139v2
- Date: Thu, 24 Nov 2022 11:09:23 GMT
- Title: City-Wide Perceptions of Neighbourhood Quality using Street View Images
- Authors: Emily Muller, Emily Gemmell, Ishmam Choudhury, Ricky Nathvani, Antje
Barbara Metzler, James Bennett, Emily Denton, Seth Flaxman, Majid Ezzati
- Abstract summary: This paper describes our methodology, based in London, including collection of images and ratings, web development, model training and mapping.
Perceived neighbourhood quality is a core component of urban vitality, influencing social cohesion, sense of community, safety, activity and mental health of residents.
- Score: 5.340189314359048
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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/.
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