IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i24p13503-d696435.html
   My bibliography  Save this article

Design of a Spatial Data Model for the Sustainability of Population Sheltering Processes in the Czech Republic

Author

Listed:
  • Jakub Rak

    (Department of Population Protection, Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, 760 01 Zlín, Czech Republic)

  • Pavel Tomášek

    (Department of Population Protection, Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, 760 01 Zlín, Czech Republic)

  • Petr Svoboda

    (Department of Population Protection, Faculty of Logistics and Crisis Management, Tomas Bata University in Zlín, nám. T. G. Masaryka 5555, 760 01 Zlín, Czech Republic)

Abstract

This article is focused on the creation of a data model of an information system to support the processes of population sheltering (PoS). PoS processes have undergone significant changes in the Czech Republic. The PoS system was transformed for the use of improvised shelters. For sustainable PoS, it is necessary to standardize the approach of crisis management staff. Key research hypotheses: the data model must respect the methodological framework of planning and implementation of the PoS, especially when used for the design and implementation of the improvised shelters; the standardization of residential buildings can be used to facilitate and streamline the sustainable process of planning of the PoS; the unified data model of the PoS can be considered suitable for standardization and development in the field of sustainable planning and implementation of the PoS. Softwares such as SW QGIS desktop 2.6.0, OpenStreetMap (OSM) spatial database, ESRI shapefile format, and S-JTSK/Krovak East North 5514 coordinate system were used for the verification of the spatial data model, and ASP.NET MVC 4.7.2 Microsoft SQL Server Express 2019, jQuery 3.3.1, Bootstrap 3.4.1, Kendo UI 2019.1.220, and virtual Windows Server 2016 were used for the implementation of the physical data model. The physical data model substantiates the benefits.

Suggested Citation

  • Jakub Rak & Pavel Tomášek & Petr Svoboda, 2021. "Design of a Spatial Data Model for the Sustainability of Population Sheltering Processes in the Czech Republic," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13503-:d:696435
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/24/13503/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/24/13503/
    Download Restriction: no
    ---><---

    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:jsusta:v:13:y:2021:i:24:p:13503-:d:696435. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.