Decoding urban landscapes: Google street view and measurement sensitivity
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Jae Hong | - |
dc.contributor.author | Lee, Su gie | - |
dc.contributor.author | Hipp, John R. | - |
dc.contributor.author | Ki, Donghwan | - |
dc.date.accessioned | 2022-07-06T16:27:45Z | - |
dc.date.available | 2022-07-06T16:27:45Z | - |
dc.date.created | 2021-07-14 | - |
dc.date.issued | 2021-07 | - |
dc.identifier.issn | 0198-9715 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/141556 | - |
dc.description.abstract | While Google Street View (GSV) has been increasingly 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 direction. 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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Elsevier Ltd | - |
dc.title | Decoding urban landscapes: Google street view and measurement sensitivity | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Su gie | - |
dc.identifier.doi | 10.1016/j.compenvurbsys.2021.101626 | - |
dc.identifier.scopusid | 2-s2.0-85103131410 | - |
dc.identifier.wosid | 000661278600003 | - |
dc.identifier.bibliographicCitation | Computers, Environment and Urban Systems, v.88, pp.1 - 12 | - |
dc.relation.isPartOf | Computers, Environment and Urban Systems | - |
dc.citation.title | Computers, Environment and Urban Systems | - |
dc.citation.volume | 88 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 12 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalResearchArea | Geography | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalResearchArea | Public Administration | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Environmental | - |
dc.relation.journalWebOfScienceCategory | Environmental Studies | - |
dc.relation.journalWebOfScienceCategory | Geography | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Regional & Urban Planning | - |
dc.subject.keywordPlus | SPATIAL SCALE | - |
dc.subject.keywordPlus | BIG DATA | - |
dc.subject.keywordPlus | NEIGHBORHOODS | - |
dc.subject.keywordPlus | CANYONS | - |
dc.subject.keywordPlus | IMAGES | - |
dc.subject.keywordAuthor | Google street view | - |
dc.subject.keywordAuthor | Measurement sensitivity | - |
dc.subject.keywordAuthor | Urban streetscape | - |
dc.identifier.url | https://linkinghub.elsevier.com/retrieve/pii/S0198971521000338 | - |
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