Exposure to parks through the lens of urban mobility
- Autores
- Salgado Corrado, Ariel Olaf; Yuan, Ziyun; Caridi, Délida Inés; González, Marta C.
- Año de publicación
- 2022
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This work presents a portable framework to estimate potential park demand and park exposure through bipartite weighted networks. We use mobility information and open spatial information. Mobility information comes in the form of daily activities sampled from a model based on Call Detail Records (CDR). Spatial information comprise parks represented through OpenStreetMaps polygons and census tracts from the 2010 decennial US Census. The framework summarizes each city’s information into one bipartite weighted network with the link weights representing the number of potential visits to a park from each census tract on an average weekday. We compare park exposure and park demand in Greater Los Angeles and Greater Boston in a pre-pandemic scenario. The park exposure of a census tract is calculated as the number of parks surrounding the daily activities of its inhabitants. The demand of a park is calculated as the number of daily activities surrounding it. We find that both cities’ distribution of park exposure have similar shape with Boston having a higher average. On the other hand, the distribution of park demand is very similar in both cities, although their park spatial distributions are different. We include racial/ethnic information from the Census to explore how the park exposure connects tracts of different racial/ethnic groups. We associate parks to racial/ethnic groups based on the number of visitors from each group. Parks within minorities’ tracts are mostly used by majority groups. Finally, through detecting communities in the network, we find that park exposure connects the cities locally, linking parks to their tracts nearby. Furthermore, we find a significant spatial correlation between network communities and different racial/ethnic composition in Los Angeles. This way, patterns of park exposure reproduce the separation among demographic groups of the city.
Fil: Salgado Corrado, Ariel Olaf. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina
Fil: Yuan, Ziyun. No especifíca;
Fil: Caridi, Délida Inés. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina
Fil: González, Marta C.. Lawrence Berkeley National Laboratory; Estados Unidos. University of California at Berkeley; Estados Unidos - Materia
-
ACCESSIBILITY
CDR
CENSUS
DEMAND
EXPOSURE
GREEN SPACES
OSM
PARKS
SEGREGATION - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/203614
Ver los metadatos del registro completo
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CONICET Digital (CONICET) |
spelling |
Exposure to parks through the lens of urban mobilitySalgado Corrado, Ariel OlafYuan, ZiyunCaridi, Délida InésGonzález, Marta C.ACCESSIBILITYCDRCENSUSDEMANDEXPOSUREGREEN SPACESOSMPARKSSEGREGATIONhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1https://purl.org/becyt/ford/2.1https://purl.org/becyt/ford/2https://purl.org/becyt/ford/5.7https://purl.org/becyt/ford/5This work presents a portable framework to estimate potential park demand and park exposure through bipartite weighted networks. We use mobility information and open spatial information. Mobility information comes in the form of daily activities sampled from a model based on Call Detail Records (CDR). Spatial information comprise parks represented through OpenStreetMaps polygons and census tracts from the 2010 decennial US Census. The framework summarizes each city’s information into one bipartite weighted network with the link weights representing the number of potential visits to a park from each census tract on an average weekday. We compare park exposure and park demand in Greater Los Angeles and Greater Boston in a pre-pandemic scenario. The park exposure of a census tract is calculated as the number of parks surrounding the daily activities of its inhabitants. The demand of a park is calculated as the number of daily activities surrounding it. We find that both cities’ distribution of park exposure have similar shape with Boston having a higher average. On the other hand, the distribution of park demand is very similar in both cities, although their park spatial distributions are different. We include racial/ethnic information from the Census to explore how the park exposure connects tracts of different racial/ethnic groups. We associate parks to racial/ethnic groups based on the number of visitors from each group. Parks within minorities’ tracts are mostly used by majority groups. Finally, through detecting communities in the network, we find that park exposure connects the cities locally, linking parks to their tracts nearby. Furthermore, we find a significant spatial correlation between network communities and different racial/ethnic composition in Los Angeles. This way, patterns of park exposure reproduce the separation among demographic groups of the city.Fil: Salgado Corrado, Ariel Olaf. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; ArgentinaFil: Yuan, Ziyun. No especifíca;Fil: Caridi, Délida Inés. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; ArgentinaFil: González, Marta C.. Lawrence Berkeley National Laboratory; Estados Unidos. University of California at Berkeley; Estados UnidosSpringer Science and Business Media Deutschland GmbH2022-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/203614Salgado Corrado, Ariel Olaf; Yuan, Ziyun; Caridi, Délida Inés; González, Marta C.; Exposure to parks through the lens of urban mobility; Springer Science and Business Media Deutschland GmbH; EPJ Data Science; 11; 1; 12-2022; 1-212193-1127CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1140/epjds/s13688-022-00351-9info:eu-repo/semantics/altIdentifier/url/https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-022-00351-9info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:09:51Zoai:ri.conicet.gov.ar:11336/203614instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:09:51.411CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Exposure to parks through the lens of urban mobility |
title |
Exposure to parks through the lens of urban mobility |
spellingShingle |
Exposure to parks through the lens of urban mobility Salgado Corrado, Ariel Olaf ACCESSIBILITY CDR CENSUS DEMAND EXPOSURE GREEN SPACES OSM PARKS SEGREGATION |
title_short |
Exposure to parks through the lens of urban mobility |
title_full |
Exposure to parks through the lens of urban mobility |
title_fullStr |
Exposure to parks through the lens of urban mobility |
title_full_unstemmed |
Exposure to parks through the lens of urban mobility |
title_sort |
Exposure to parks through the lens of urban mobility |
dc.creator.none.fl_str_mv |
Salgado Corrado, Ariel Olaf Yuan, Ziyun Caridi, Délida Inés González, Marta C. |
author |
Salgado Corrado, Ariel Olaf |
author_facet |
Salgado Corrado, Ariel Olaf Yuan, Ziyun Caridi, Délida Inés González, Marta C. |
author_role |
author |
author2 |
Yuan, Ziyun Caridi, Délida Inés González, Marta C. |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
ACCESSIBILITY CDR CENSUS DEMAND EXPOSURE GREEN SPACES OSM PARKS SEGREGATION |
topic |
ACCESSIBILITY CDR CENSUS DEMAND EXPOSURE GREEN SPACES OSM PARKS SEGREGATION |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 https://purl.org/becyt/ford/2.1 https://purl.org/becyt/ford/2 https://purl.org/becyt/ford/5.7 https://purl.org/becyt/ford/5 |
dc.description.none.fl_txt_mv |
This work presents a portable framework to estimate potential park demand and park exposure through bipartite weighted networks. We use mobility information and open spatial information. Mobility information comes in the form of daily activities sampled from a model based on Call Detail Records (CDR). Spatial information comprise parks represented through OpenStreetMaps polygons and census tracts from the 2010 decennial US Census. The framework summarizes each city’s information into one bipartite weighted network with the link weights representing the number of potential visits to a park from each census tract on an average weekday. We compare park exposure and park demand in Greater Los Angeles and Greater Boston in a pre-pandemic scenario. The park exposure of a census tract is calculated as the number of parks surrounding the daily activities of its inhabitants. The demand of a park is calculated as the number of daily activities surrounding it. We find that both cities’ distribution of park exposure have similar shape with Boston having a higher average. On the other hand, the distribution of park demand is very similar in both cities, although their park spatial distributions are different. We include racial/ethnic information from the Census to explore how the park exposure connects tracts of different racial/ethnic groups. We associate parks to racial/ethnic groups based on the number of visitors from each group. Parks within minorities’ tracts are mostly used by majority groups. Finally, through detecting communities in the network, we find that park exposure connects the cities locally, linking parks to their tracts nearby. Furthermore, we find a significant spatial correlation between network communities and different racial/ethnic composition in Los Angeles. This way, patterns of park exposure reproduce the separation among demographic groups of the city. Fil: Salgado Corrado, Ariel Olaf. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina Fil: Yuan, Ziyun. No especifíca; Fil: Caridi, Délida Inés. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina Fil: González, Marta C.. Lawrence Berkeley National Laboratory; Estados Unidos. University of California at Berkeley; Estados Unidos |
description |
This work presents a portable framework to estimate potential park demand and park exposure through bipartite weighted networks. We use mobility information and open spatial information. Mobility information comes in the form of daily activities sampled from a model based on Call Detail Records (CDR). Spatial information comprise parks represented through OpenStreetMaps polygons and census tracts from the 2010 decennial US Census. The framework summarizes each city’s information into one bipartite weighted network with the link weights representing the number of potential visits to a park from each census tract on an average weekday. We compare park exposure and park demand in Greater Los Angeles and Greater Boston in a pre-pandemic scenario. The park exposure of a census tract is calculated as the number of parks surrounding the daily activities of its inhabitants. The demand of a park is calculated as the number of daily activities surrounding it. We find that both cities’ distribution of park exposure have similar shape with Boston having a higher average. On the other hand, the distribution of park demand is very similar in both cities, although their park spatial distributions are different. We include racial/ethnic information from the Census to explore how the park exposure connects tracts of different racial/ethnic groups. We associate parks to racial/ethnic groups based on the number of visitors from each group. Parks within minorities’ tracts are mostly used by majority groups. Finally, through detecting communities in the network, we find that park exposure connects the cities locally, linking parks to their tracts nearby. Furthermore, we find a significant spatial correlation between network communities and different racial/ethnic composition in Los Angeles. This way, patterns of park exposure reproduce the separation among demographic groups of the city. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/203614 Salgado Corrado, Ariel Olaf; Yuan, Ziyun; Caridi, Délida Inés; González, Marta C.; Exposure to parks through the lens of urban mobility; Springer Science and Business Media Deutschland GmbH; EPJ Data Science; 11; 1; 12-2022; 1-21 2193-1127 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/203614 |
identifier_str_mv |
Salgado Corrado, Ariel Olaf; Yuan, Ziyun; Caridi, Délida Inés; González, Marta C.; Exposure to parks through the lens of urban mobility; Springer Science and Business Media Deutschland GmbH; EPJ Data Science; 11; 1; 12-2022; 1-21 2193-1127 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1140/epjds/s13688-022-00351-9 info:eu-repo/semantics/altIdentifier/url/https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-022-00351-9 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Springer Science and Business Media Deutschland GmbH |
publisher.none.fl_str_mv |
Springer Science and Business Media Deutschland GmbH |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842270096779640832 |
score |
13.13397 |