2022
DOI: 10.1080/07352166.2022.2133724
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Social infrastructure as a proxy for social capital: A spatial exploration into model specification and measurement impacts in Los Angeles, California

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Cited by 5 publications
(4 citation statements)
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“…Their work leveraged a suite of open-source spatial infrastructure, land-cover, and development data from sources such as OpenStreetMap (OSM) 19 and Google Places; 20 however, there is no guarantee of completeness for these and other types of open data sources, and the accuracy of their social capital measurements relied heavily on the integrity of their input datasets. In other work, 18 we quantified the relative completeness of various infrastructure types in OSM and Google Places datasets for Los Angeles, CA, demonstrating incompleteness in both datasets and a nonuniformity in the level of completeness across the region.…”
Section: Introductionmentioning
confidence: 96%
See 2 more Smart Citations
“…Their work leveraged a suite of open-source spatial infrastructure, land-cover, and development data from sources such as OpenStreetMap (OSM) 19 and Google Places; 20 however, there is no guarantee of completeness for these and other types of open data sources, and the accuracy of their social capital measurements relied heavily on the integrity of their input datasets. In other work, 18 we quantified the relative completeness of various infrastructure types in OSM and Google Places datasets for Los Angeles, CA, demonstrating incompleteness in both datasets and a nonuniformity in the level of completeness across the region.…”
Section: Introductionmentioning
confidence: 96%
“…Most studies rely on intensive in situ research methods that, by necessity, focus on one or two small neighborhoods; however, by combining computational tools and social science concepts, researchers have been able to implement a novel approach to assess the resiliency of an entire DUT. [16][17][18] Palladino et al 16 used an urban resilience ontology that related social structures and social events including access and capacity to compute a social capital measure for the entirety of a DUT landscape. Their work leveraged a suite of open-source spatial infrastructure, land-cover, and development data from sources such as OpenStreetMap (OSM) 19 and Google Places; 20 however, there is no guarantee of completeness for these and other types of open data sources, and the accuracy of their social capital measurements relied heavily on the integrity of their input datasets.…”
Section: Introductionmentioning
confidence: 99%
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“…As has been established, recent research [6] argues that although areas with better access to social infrastructure should support higher social capital, this may still be a theoretical argument that has not been tested properly by quantitative frameworks. This represents one of the main motivations of the work presented here: to suggest a framework for the study of some of these concepts, through the construction of robust indices that may help shed some light on these urban phenomena.…”
Section: Introductionmentioning
confidence: 99%