Decoding urban landscapes: Google street view and measurement sensitivity
- Title
- Decoding urban landscapes: Google street view and measurement sensitivity
- Author
- 이수기
- Keywords
- Urban streetscape; Google street view; Measurement sensitivity
- Issue Date
- 2021-02
- Publisher
- Western Regional Science Association
- Citation
- Computers environment and urban systems, v. 88, article no. 101626, page. 1-41
- Abstract
- While Google Street View (GSV) has increasingly been available for large-scale examinations of urban landscapes, little is known about how to use this promising data source more cautiously and effectively. Using data for Santa Ana, California, as an example, this study provides an empirical assessment of the sensitivity of GSV-based streetscape measures and their variation patterns. The results show that the measurement outcomes can vary substantially with changes in GSV acquisition parameter settings, specifically spacing and directions. The sensitivity is found to be particularly high for some measurement targets, including humans, objects, and sidewalks. Some of these elements, such as buildings and sidewalks, also show highly correlated patterns of variation indicating their covariance in the mosaic of urban space.
- URI
- https://www.sciencedirect.com/science/article/pii/S0198971521000338?via%3Dihubhttps://repository.hanyang.ac.kr/handle/20.500.11754/175833
- ISSN
- 0198-9715; 1873-7587
- DOI
- 10.1016/j.compenvurbsys.2021.101626
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > URBAN PLANNING AND ENGINEERING(도시공학과) > Articles
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