Google Street View as a Replacement for In-Person Street Surveys: Meta-Analysis of Findings from Evaluations

Nesse, Katherine; Airt, Leah

doi:10.1061/(asce)up.1943-5444.0000560

Cited by 14 publications

(10 citation statements)

References 31 publications

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“…Nonetheless, ground-truthing stores historically and nationally is logistically impossible. Future work could utilize crowdsourced data or commercial imagery (i.e., Google StreetView) to capture and archive a prospective database of these detailed data (47) .…”

Section: Discussionmentioning

confidence: 99%

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National trends and disparities in retail food environments in the USA between 1990 and 2014

Hirsch

Zhao

Melly

et al. 2023

Public Health Nutr.

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Objective: To describe national disparities in retail food environments by neighborhood composition (race/ethnicity and socioeconomic status) across time and space. Design: We examined built food environments (retail outlets) between 1990-2014 for census tracts in the contiguous U.S. (n=71,547). We measured retail food environment as counts of all food stores, all unhealthy food sources (including fast food, convenience stores, bakeries and ice cream), and healthy food stores (including supermarkets, fruit and vegetable markets) from National Establishment Time Series business data. Changes in food environment were mapped to display spatial patterns. Multi-level Poisson models, clustered by tract, estimated time trends in counts of food stores with a land area offset and independent variables population density, racial composition (categorized as predominantly one race/ethnicity (>60%) or mixed), and inflation-adjusted income tertile. Setting: The contiguous U.S. between 1990-2014 Participants: All census tracts (n=71,547) Results: All food stores and unhealthy food sources increased while the subcategory healthy food remained relatively stable. In models adjusting for population density, predominantly non-Hispanic Black, Hispanic, Asian, and mixed tracts had significantly more destinations of all food categories than predominantly non-Hispanic White tracts. This disparity increased over time, predominantly driven by larger increases in unhealthy food sources for tracts which were not predominantly non-Hispanic White. Income and food store access were inversely related, although disparities narrowed over time. Conclusions: Our findings illustrate a national food landscape with both persistent and shifting spatial patterns in the availability of establishments across neighborhoods with different racial-ethnic and socioeconomic compositions.

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Section: Discussionmentioning

confidence: 99%

“…Future work could utilise crowdsourced data or commercial imagery (i.e. Google Street View) to capture and archive a prospective database of these detailed data (47) . Stores were also classified based on assumed purchasing patterns.…”

Section: Discussionmentioning

confidence: 99%

National trends and disparities in retail food environments in the USA between 1990 and 2014

Hirsch

Zhao

Melly

et al. 2023

Public Health Nutr.

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“…Within these articles, 28 stand out because they have subjects closer to this study. It can, then, be noticed that the use of this tool is increasing, especially in the last decade, in countries of North America and Europe (Nesse, & Airt, 2020). Nesse and Airt (2020) also draw attention to some criteria that should be analyzed in the research using GSV: 1.…”

Section: Google Street View As An Emerging Data Collection Technologymentioning

confidence: 99%

“…In addition, training observers to observe through GSV requires different instructions. In summary, GSV can be a useful tool to replace face-to-face observations of street environment characteristics if classic parts of the survey research project (research time and researcher training) are carefully considered (Nesse & Airt, 2020). Furthermore, Google Street View is being used in studies that aim to verify its feasibility to verify changes caused by environmental disasters, such as hurricanes (Zhai & Peng, 2020), and vulnerability in floods (D'Ayala et al, 2020) as well as accidents with nuclear power plants (Mabon, 2016).…”

Section: Google Street View As An Emerging Data Collection Technologymentioning

confidence: 99%

Vernacular architecture in Brazilian semiarid region: survey and memory in the state of Sergipe

Andrade

Bessa

Rezende

2022

Proceedings HERITAGE 2022 - International Conference on Vernacular Heritage: Culture, People and Sustainability

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Buildings with earth in their composition have been common since the beginning of the Brazilian territory's settlement. Until this day, wattle-and-daub homes are frequent in the Northeast region of the country. This technique uses a structural cage made of the weft of woods whose interlocking voids are covered with thrown wet clay. Due to the current association of these buildings as shelters for insects that may contain Trypanosoma cruzi (which transmits the Chagas disease) numerous public policies guide eradication and replacement of these buildings by others built with masonry. Due to the destruction of these buildings, built with vernacular earthen techniques, this research aims to survey buildings that still resist in the semiarid region of Sergipe state. Therefore, literature review was carried out on architecture in the semiarid region and building investigation techniques using digital tools. Considering Sars-Cov-2 pandemic as a prohibitive condition that caused difficulties in collecting data in the field, it was necessary to seek out methods that could be used for a remote survey. Furthermore, an exploratory analysis was carried out with digitally available tools in which it was possible to observe popular buildings built with earth in the legal semi-arid region. Initially, data was collected from the latest demographic censuses carried out by the Brazilian Institute of Geography and Statistics (IBGE), as well as the socioeconomic data of Brazilian families in poverty situations registered with the government. This initial data, however, did not present information on geographic positioning of the dwellings, making it necessary to conduct a survey through Google Street View software, allowing the visualization of images at ground level, being effective on searching for wattleand-daub residences. From these data, a catalog of the constructions found was generated and, by georeferencing these dwellings, the documentation produced may contribute to the preservation of vernacular constructive memory of this study's location object.

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“…Maurer (2020) assesses the ontologies of named places tagged in posts of several widely used social media platforms, including Twitter, Instagram, and Foursquare Swarm, and, based on a 36-month sample of 18 million posts, suggests the advantages of names over tagged coordinates in terms of the user experience and economic utility. Nesse and Airt (2020) catalog nine evaluations of Google Street View (GSV) as an alternative observational tool to primary data collection for studying components of urban streetscapes; they explore GSV's general suitability for capturing larger permanent objects, depending on the time the images are recorded and the observers' training and expertise. Using bibliometric analysis, Niu and Silva (2020) take a broad sweep at varied sources of crowd-sourced data, such as social media, point-ofinterest data, and collaborative websites, to review data mining, fusion, applications, and use in spatial, sociodemographic, and perception analysis; they discuss the challenges these data sources pose to researchers and practitioners.…”

mentioning

confidence: 99%

Data Science and the Built Environment

Nedović‐Budić

2021

J. Urban Plann. Dev.

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Google Street View as a Replacement for In-Person Street Surveys: Meta-Analysis of Findings from Evaluations

Cited by 14 publications

References 31 publications

National trends and disparities in retail food environments in the USA between 1990 and 2014

National trends and disparities in retail food environments in the USA between 1990 and 2014

Vernacular architecture in Brazilian semiarid region: survey and memory in the state of Sergipe

Data Science and the Built Environment

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