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Modeling Accessibility of Screening and Treatment Facilities for Older Adults using Transportation Networks.
Zhang, Qiuyi; Northridge, Mary E; Jin, Zhu; Metcalf, Sara S.
Afiliação
  • Zhang Q; Department of Geography, The State University of New York at Buffalo, Buffalo, NY 14261, USA.
  • Northridge ME; Department of Geography, The State University of New York at Buffalo, Buffalo, NY 14261, USA.
  • Jin Z; Department of Epidemiology & Health Promotion, New York University College of Dentistry, New York, NY 10010, USA.
  • Metcalf SS; Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, NY 10032, USA.
Appl Geogr ; 93: 64-75, 2018 Apr.
Article em En | MEDLINE | ID: mdl-29556112
ABSTRACT
Increased lifespans and population growth have resulted in an older U.S. society that must reckon with the complex oral health needs that arise as adults age. Understanding accessibility to screening and treatment facilities for older adults is necessary in order to provide them with preventive and restorative services. This study uses an agent-based model to examine the accessibility of screening and treatment facilities via transportation networks for older adults living in the neighborhoods of northern Manhattan, New York City. Older adults are simulated as socioeconomically distinct agents who move along a GIS-based transportation network using transportation modes that mediate their access to screening and treatment facilities. This simulation model includes four types of mobile agents as a simplifying assumption walk, by car, by bus, or by van (i.e., a form of transportation assistance for older adults). These mobile agents follow particular routes older adults who travel by car, bus, and van follow street roads, whereas pedestrians follow walkways. The model enables the user to focus on one neighborhood at a time for analysis. The spatial dimension of an older adult's accessibility to screening and treatment facilities is simulated through the travel costs (indicated by travel time or distance) incurred in the GIS-based model environment, where lower travel costs to screening and treatment facilities imply better access. This model provides a framework for representing health-seeking behavior that is contextualized by a transportation network in a GIS environment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: Appl Geogr Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Screening_studies Idioma: En Revista: Appl Geogr Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos