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Assessing and Qualifying Neighborhood Walkability for Older Adults: Construction and Initial Testing of a Multivariate Spatial Accessibility Model

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  • Valkiria Amaya

    (AGEIS (Autonomie, Gérontologie, E-santé, Imagerie et Société), Université Grenoble Alpes, 38000 Grenoble, France
    PACTE (Laboratoire de Sciences Sociales), Sciences Po Grenoble, Université Grenoble Alpes, CNRS, 38000 Grenoble, France)

  • Thibauld Moulaert

    (PACTE (Laboratoire de Sciences Sociales), Sciences Po Grenoble, Université Grenoble Alpes, CNRS, 38000 Grenoble, France)

  • Luc Gwiazdzinski

    (LRA (Laboratoire de Recherche en Architecture), École Nationale Supérieure d’Architecture de Toulouse, Université Fédérale de Toulouse, 31106 Toulouse, France)

  • Nicolas Vuillerme

    (AGEIS (Autonomie, Gérontologie, E-santé, Imagerie et Société), Université Grenoble Alpes, 38000 Grenoble, France
    Institut Universitaire de France, 75005 Paris, France)

Abstract

Population aging and urban development pose major challenges for societies today. Joining the literature assessing urban accessibility, the present exploratory research developed a multivariate accessibility model based on four independent variables—related to formal and structural urban space—that influence walkability for older adults (pedestrian network; facilities and shops; public benches; and slopes and gradients). The model used ArcGIS software. For the accessibility calculations, we selected two suburban neighborhoods in the conurbation of Grenoble (France) and selected three types of older adults’ profiles to reflect the variety of aging: an older adult in good health, an older adult with a chronic disease, and an older adult with reduced mobility. The results suggest that the accessibility of a neighborhood depends not only on its physical and urban characteristics, but it is also influenced by the physical and health characteristics of its inhabitants. The originality of the model lies mainly in its ability to estimate the spatial accessibility of a territory by taking into account, firstly, objective data such as the physical characteristics and the built environment of the neighborhood through objectification variables that consider such original variables as the presence of benches or the slopes and gradients and, secondly, specific data such as the physical and/or health characteristics of the study population. The measurement of geospatial accessibility could be of great value for public health in urban contexts, which is why relevant tools and methodologies are needed to objectively examine and intervene in public spaces in order to make them age-friendly.

Suggested Citation

  • Valkiria Amaya & Thibauld Moulaert & Luc Gwiazdzinski & Nicolas Vuillerme, 2022. "Assessing and Qualifying Neighborhood Walkability for Older Adults: Construction and Initial Testing of a Multivariate Spatial Accessibility Model," IJERPH, MDPI, vol. 19(3), pages 1-18, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1808-:d:742621
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    1. Jehle, Ulrike & Baquero Larriva, María Teresa & BaghaiePoor, Mahtab & Büttner, Benjamin, 2024. "How does pedestrian accessibility vary for different people? Development of a Perceived user-specific Accessibility measure for Walking (PAW)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 189(C).
    2. Jiemeng Yang & Chen He & Zhongjun Mo & Junchao Guo & Run Ji & Yu Wang & Chunjing Tao & Yubo Fan, 2022. "The Effects of Pedestrian Environment on Ambulation with a Walking Frame in Elderly Individuals: A Survey and Experimental Study," IJERPH, MDPI, vol. 19(15), pages 1-14, July.
    3. Valkiria Amaya & Matthias Chardon & Helen Klein & Thibauld Moulaert & Nicolas Vuillerme, 2022. "What Do We Know about the Use of the Walk-along Method to Identify the Perceived Neighborhood Environment Correlates of Walking Activity in Healthy Older Adults: Methodological Considerations Related ," Sustainability, MDPI, vol. 14(18), pages 1-37, September.

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