To use or not to use proprietary street view images in (health and place) research? That is the question.

Environmental assessment Google Health geography Street view images Streetscape data Terms of use

Journal

Health & place
ISSN: 1873-2054
Titre abrégé: Health Place
Pays: England
ID NLM: 9510067

Informations de publication

Date de publication:
09 Apr 2024
Historique:
received: 12 02 2024
revised: 22 03 2024
accepted: 02 04 2024
medline: 11 4 2024
pubmed: 11 4 2024
entrez: 10 4 2024
Statut: aheadofprint

Résumé

Computer vision-based analysis of street view imagery has transformative impacts on environmental assessments. Interactive web services, particularly Google Street View, play an ever-important role in making imagery data ubiquitous. Despite the technical ease of harnessing millions of Google Street View images, this article questions the current practices in using this proprietary data source from a European viewpoint. Our concern lies with Google's terms of service, which restrict bulk image downloads and the generation of street view image-based indices. To reconcile the challenge of advancing society through groundbreaking research while maintaining data license agreements and legal integrity, we believe it is crucial to 1) include an author's statement on using proprietary street view data and the directives it entails, 2) negotiate academic-specific license to democratize Google Street View data access, and 3) adhere to open data principles and utilize open image sources for future research.

Identifiants

pubmed: 38599045
pii: S1353-8292(24)00072-8
doi: 10.1016/j.healthplace.2024.103244
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

103244

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Auteurs

Marco Helbich (M)

Department of Human Geography and Spatial Planning, Utrecht University, The Netherlands. Electronic address: m.helbich@uu.nl.

Matthew Danish (M)

Department of Human Geography and Spatial Planning, Utrecht University, The Netherlands.

S M Labib (SM)

Department of Human Geography and Spatial Planning, Utrecht University, The Netherlands.

Britta Ricker (B)

Copernicus Institute of Sustainable Development, Utrecht University, The Netherlands.

Classifications MeSH