IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v21y2024i3p276-d1347475.html
   My bibliography  Save this article

Spatial Accessibility to Primary Care in Metropolitan France: Results Using the SCALE Spatial Accessibility Index for All Regions

Author

Listed:
  • Ludivine Launay

    (Plateforme MapInMed, US PLATON, University of Caen Normandy, 14033 Caen, France
    U1086 INSERM UCN Anticipe, “Equipe Labellisée Ligue Contre le Cancer”, University Hospital of Caen, 14033 Caen, France
    Centre François Baclesse, 14076 Caen, France)

  • Fabien Guillot

    (Department of Geography and Territorial Planning, University of Caen Nomandy, UMR CNRS 6266 IDEES-Caen, 14032 Caen, France)

  • Mohand Medjkane

    (Department of Geography and Territorial Planning, University of Caen Nomandy, UMR CNRS 6266 IDEES-Caen, 14032 Caen, France)

  • Guy Launoy

    (Plateforme MapInMed, US PLATON, University of Caen Normandy, 14033 Caen, France
    U1086 INSERM UCN Anticipe, “Equipe Labellisée Ligue Contre le Cancer”, University Hospital of Caen, 14033 Caen, France
    Department of Research, University Hospital of Caen, 14033 Caen, France)

  • Olivier Dejardin

    (Plateforme MapInMed, US PLATON, University of Caen Normandy, 14033 Caen, France
    U1086 INSERM UCN Anticipe, “Equipe Labellisée Ligue Contre le Cancer”, University Hospital of Caen, 14033 Caen, France
    Department of Research, University Hospital of Caen, 14033 Caen, France)

Abstract

Accessibility to care is a major public health issue. Various tools to assess it are available, but they do not solve the problem of scale. Moreover, accessibility is a multidimensional concept that is not taken into account with current tools. The SCALE index aims to overcome these two limitations by proposing a synthetic measure on a more precise scale than the administrative unit or the sub-municipal scale. Under the assumption of access to care facilities for all and access to the nearest facilities, the potential accessibility distance was calculated for each couple (residential area, accessible facilities). This was defined as the average distance by road that the population has to travel to access care. To take the availability of resources into account, these distances were weighted by the theoretical pressure on the facilities. The SCALE index was then calculated using a linear combination of the distances of potential accessibility to care facilities It highlights differences in accessibility at the national and regional scale. Using this index, it was possible to provide maps for all French regions and the major cities in a story-map. The major conurbation around Paris and the main urban centers has high accessibility. Low accessibility forms a “Y” shape. In conclusion, the SCALE index measures accessibility at the scale of a small geographic unit taking the proximity and the availability of health professionals into account. It is also possible to take into account the diversity of accessibility in a given territory.

Suggested Citation

  • Ludivine Launay & Fabien Guillot & Mohand Medjkane & Guy Launoy & Olivier Dejardin, 2024. "Spatial Accessibility to Primary Care in Metropolitan France: Results Using the SCALE Spatial Accessibility Index for All Regions," IJERPH, MDPI, vol. 21(3), pages 1-11, February.
    • Handle: RePEc:gam:jijerp:v:21:y:2024:i:3:p:276-:d:1347475
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/21/3/276/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/21/3/276/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David L. Huff, 1963. "A Probabilistic Analysis of Shopping Center Trade Areas," Land Economics, University of Wisconsin Press, vol. 39(1), pages 81-90.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paul Cheshire & Christian Hilber & Piero Montebruno & Rosa Sanchis-Guarner, 2018. "Take Me to the Centre of Your Town! Using Micro-geographical Data to Identify Town Centres," CESifo Economic Studies, CESifo Group, vol. 64(2), pages 255-291.
    2. Sohyun Park & Keumsook Lee, 2021. "Examining the Impact of E-Commerce Growth on the Spatial Distribution of Fashion and Beauty Stores in Seoul," Sustainability, MDPI, vol. 13(9), pages 1-20, May.
    3. Dong, Xiaojing & Ben-Akiva, Moshe E. & Bowman, John L. & Walker, Joan L., 2006. "Moving from trip-based to activity-based measures of accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 163-180, February.
    4. Wieland, Thomas, 2015. "Nahversorgung im Kontext raumökonomischer Entwicklungen im Lebensmitteleinzelhandel: Konzeption und Durchführung einer GIS-gestützten Analyse der Strukturen des Lebensmitteleinzelhandels und der Nahve," MPRA Paper 77145, University Library of Munich, Germany.
    5. Rickard Enström & Olof Netzell, 2008. "Can Space Syntax Help Us in Understanding the Intraurban Office Rent Pattern? Accessibility and Rents in Downtown Stockholm," The Journal of Real Estate Finance and Economics, Springer, vol. 36(3), pages 289-305, April.
    6. Yang, Xiping & Fang, Zhixiang & Xu, Yang & Yin, Ling & Li, Junyi & Lu, Shiwei, 2019. "Spatial heterogeneity in spatial interaction of human movements—Insights from large-scale mobile positioning data," Journal of Transport Geography, Elsevier, vol. 78(C), pages 29-40.
    7. Eacott, Scott, 2024. "School provision, workforce distribution, housing, and the staffing of schools: The case of Sydney, Australia," International Journal of Educational Development, Elsevier, vol. 109(C).
    8. Zhuoran Shan & Xuehan Shen & Man Yuan, 2022. "Exploring the Relationship between the Clustering Degree of Children’s Business Formats and the Attractiveness of Commercial Centers in Wuhan by Modifying the Classic Retail Model," Land, MDPI, vol. 11(8), pages 1-21, July.
    9. Lin, Jie & Cromley, Gordon, 2023. "Using the transportation problem to build a congestion/threshold constrained spatial accessibility model," Journal of Transport Geography, Elsevier, vol. 112(C).
    10. Baruch A. Kipnis, 1977. "Center-Hinterland Interrelationships in a Nodal Region: An Input-Output Analysis," Urban Studies, Urban Studies Journal Limited, vol. 14(3), pages 347-351, October.
    11. Weinhold, Ines & Wende, Danny & Schrey, Christopher & Militzer-Horstmann, Carsta & Schang, Laura & Sundmacher, Leonie, 2022. "Assessing patients’ acceptable and realised distances to determine accessibility standards for the size of catchment areas in outpatient care," Health Policy, Elsevier, vol. 126(11), pages 1180-1186.
    12. Jiahui Qin & Shijia Luo & Disheng Yi & Heping Jiang & Jing Zhang, 2022. "Measuring Cluster-Based Spatial Access to Shopping Stores under Real-Time Travel Time," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    13. Wieland, Thomas, 2014. "Räumliches Einkaufsverhalten und Standortpolitik im Einzelhandel unter Berücksichtigung von Agglomerationseffekten: Theoretische Erklärungsansätze, modellanalytische Zugänge und eine empirisch-ökonome," MPRA Paper 77163, University Library of Munich, Germany.
    14. Minoru Osawa & Takashi Akamatsu & Yuki Takayama, 2017. "Harris And Wilson (1978) Model Revisited: The Spatial Period‐Doubling Cascade In An Urban Retail Model," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 442-466, June.
    15. Cho, Clare & Volpe, Richard J., 2017. "Independent Grocery Stores in the Changing Landscape of the U.S. Food Retail Industry," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258517, Agricultural and Applied Economics Association.
    16. Jing Yao & Alan T. Murray, 2014. "Locational Effectiveness of Clinics Providing Sexual and Reproductive Health Services to Women in Rural Mozambique," International Regional Science Review, , vol. 37(2), pages 172-193, April.
    17. Vladimir Marianov & H. A. Eiselt & Armin Lüer-Villagra, 2020. "The Follower Competitive Location Problem with Comparison-Shopping," Networks and Spatial Economics, Springer, vol. 20(2), pages 367-393, June.
    18. Jiri Horak & Jan Tesla & David Fojtik & Vit Vozenilek, 2019. "Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    19. Claes Andersson & Koen Frenken & Alexander Hellervik, 2006. "A Complex Network Approach to Urban Growth," Environment and Planning A, , vol. 38(10), pages 1941-1964, October.
    20. Srikanth Paruchuri & Joel A. C. Baum & David Potere, 2009. "The Wal‐Mart Effect: Wave of Destruction or Creative Destruction?," Economic Geography, Clark University, vol. 85(2), pages 209-236, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:21:y:2024:i:3:p:276-:d:1347475. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.