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Sustainable Aging in Aix-Marseille-Provence Metropolis: Assessment Indicators and Interactive Visualizations for Policy Making

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Abstract

As the world’s population continues to age and urbanization accelerates, the focus of urban sustainability has evolved towards promoting the needs and well-being of older adults in addition to environmental concerns. Urban environments have a significant impact on the experiences of city dwellers, particularly of older adults, and from this perspective certain neighborhoods present greater challenges than others. To address issues related to aging, cities around the world have launched initiatives to improve urban sustainability for older adults, ranging from redesigning public spaces to providing opportunities for social interaction. However, to design effective interventions, open-access data related to urban environments must be collected and analyzed to identify neighborhoods with the greatest need for improvement. This paper presents a case study of the Aix-Marseille-Provence metropolis in France, showing that a range of assessment indicators focused on walkability and urban form can be calculated using open-access data. Through the presentation of these indicators and exploratory analysis results in a visual and interactive format (HTML-based platform), planners and policymakers can quickly identify patterns and trends, thereby helping them identify neighborhoods with the most significant needs and create more effective policies.

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Acknowledgment

This research was funded by a grant from Région Sud, Provence-Alpes-Côte d’Azur, France (ForVie).

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Corresponding author

Correspondence to Joan Perez .

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Appendices

Appendix A: List of Retained Categories from the 2019 BPE® Dataset

A203, A101, A104, A206, A207, A208, A501, A502, A504, B101, B102, B201, B202, B203, B204, B205, B206, B301, B302, B303, B304, B305, B306, B307, B311, B312, B313, B315, D106, D108, D112, D113, D201, D202, D203, D206, D207, D208, D209, D211, D212, D213, D214, D221, D232, D233, D235, D236, D237, D238, D239, D240, D241, D242, D301, D302, D303, D305, D401, D402, D403, D404, E101, E107, E108, E109, F304, F101, F102, F108, F109, F113, F120, F201, F303, F306.

Full list of categories:

https://www.insee.fr/fr/metadonnees/source/fichier/BPE19_Liste_%C3%A9quipements_insee-fr.pdf

Appendix B: Files Upload

https://zenodo.org/record/7818160

This upload contains a geopackage file, R code, Readme file and an HTML-based platform with interactive maps created using the geopackage and R code. This upload presents various indicators and a HTML-based platform with interactive maps to help planners and policymakers to quickly identify patterns and trends related to aging within Aix-Marseille metropolis, France.

Files.

  • `AGING_AMP_INDICATORS.gpkg': The geopackage file contains spatial data used in the R code to create the maps.

  • `code_R_platform_v1.0_ForVie.R': The R code used to create the interactive maps.

  • `ForVie_platform_v1.0.html': The platform for visualizing the interactive maps.

  • `Readme.txt`

Instructions

To use this upload, follow these steps:

  1. 1.

    Download the geopackage file, R code, and index.html file.

  2. 2.

    Open the R code in RStudio or another R environment.

  3. 3.

    Install any necessary packages as listed in the first section of the R code.

  4. 4.

    Run the code in R to create the HTML-based platform with interactive maps.

Alternatively, it is possible to directly open the ForVie_platform_v1.0.html file in a web browser to view the maps.

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Perez, J. et al. (2023). Sustainable Aging in Aix-Marseille-Provence Metropolis: Assessment Indicators and Interactive Visualizations for Policy Making. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14104. Springer, Cham. https://doi.org/10.1007/978-3-031-37105-9_23

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  • DOI: https://doi.org/10.1007/978-3-031-37105-9_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37104-2

  • Online ISBN: 978-3-031-37105-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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