Abstract
Street View Imagery (SVI) is a valuable data source for studies (e.g., environmental assessments, green space identification or land cover classification). While commercial SVI is available, such providers commonly restrict copying or reuse in ways necessary for research. Open SVI datasets are readily available from less restrictive sources, such as Mapillary, but due to the heterogeneity of the images, these require substantial preprocessing, filtering, and careful quality checks. We present a method for automated downloading, processing, cropping, and filtering open SVI, to be used in a survey of human perceptions of the streets portrayed in these images. We demonstrate our open-source reusable SVI preparation and smartphone-friendly perception-survey software with Amsterdam (Netherlands) as the case study. Using a citizen science approach, we collected from 331 people 22,637 ratings about their perceptions for various criteria. We have published our software in a public repository for future re-use and reproducibility.
Original language | English |
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Article number | 102207 |
Journal | Computers, Environment and Urban Systems |
Volume | 116 |
DOIs | |
Publication status | Published - Mar 2025 |
Bibliographical note
Publisher Copyright:© 2024 The Authors
Funding
This work received funding ( BMD 3.1fb220215 ) from the Faculty of Geosciences, Utrecht University , as well as from the FAIR Research IT program at Utrecht University . Neither of the funders had any role concerning the study design, data collection and analysis, interpretation, or dissemination. Maarten Zelymans Van Emmichoven helped with early conceptualization, and the Nederlands translation of the app.
Funders | Funder number |
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Faculty of Geosciences, Utrecht University | |
FAIR | |
Universiteit Utrecht |
Keywords
- Citizen science
- Environment
- Human perception
- Open source
- Street view
- Toolbox