IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i8p1594-d1216364.html
   My bibliography  Save this article

Integrating Cadastral Data with Seismic Risk Data in an Online Building Database for the Historical Centre of Bucharest City

Author

Listed:
  • Anca Patricia Grădinaru

    (Department of Topography and Cadastre, Faculty of Geodesy, Technical University of Civil Engineering Bucharest, 020396 Bucharest, Romania)

  • Ana-Cornelia Badea

    (Department of Topography and Cadastre, Faculty of Geodesy, Technical University of Civil Engineering Bucharest, 020396 Bucharest, Romania)

  • Petre Iuliu Dragomir

    (Department of Topography and Cadastre, Faculty of Geodesy, Technical University of Civil Engineering Bucharest, 020396 Bucharest, Romania)

  • Gheorghe Badea

    (Department of Topography and Cadastre, Faculty of Geodesy, Technical University of Civil Engineering Bucharest, 020396 Bucharest, Romania)

Abstract

The Historical Centre of Bucharest City is a highly populated area and a popular tourist attraction, known for its old buildings, some of which were built before the year 1900 and were severely damaged by the 7.4 magnitude earthquake in 1977. Seismic risk available data consist of lists published by the Municipal Administration for the Consolidation of Buildings with Seismic Risk, and include various information about the buildings for which technical expertise was conducted. Available cadastral data can provide additional information about the buildings, including the buildings’ location and area. In this article, we aim to integrate the available cadastral data with seismic risk data in an online building database for the Historical Centre of Bucharest City. Such a database can be used for further 3D city modelling, which can be helpful in disaster management and emergency situations response planning. Previous initiatives in this regard did not provide precise geospatial data or important attributes regarding the situation of these buildings. It is vital to take into account the official data related to the property, mentioned in the National Land Registry.

Suggested Citation

  • Anca Patricia Grădinaru & Ana-Cornelia Badea & Petre Iuliu Dragomir & Gheorghe Badea, 2023. "Integrating Cadastral Data with Seismic Risk Data in an Online Building Database for the Historical Centre of Bucharest City," Land, MDPI, vol. 12(8), pages 1-30, August.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1594-:d:1216364
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/8/1594/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/8/1594/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Katal, Ali & Mortezazadeh, Mohammad & Wang, Liangzhu (Leon) & Yu, Haiyi, 2022. "Urban building energy and microclimate modeling – From 3D city generation to dynamic simulations," Energy, Elsevier, vol. 251(C).
    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. Liu, Jiang & Wu, Qifeng & Lin, Zhipeng & Shi, Huijie & Wen, Shaoyang & Wu, Qiaoyu & Zhang, Junxue & Peng, Changhai, 2023. "A novel approach for assessing rooftop-and-facade solar photovoltaic potential in rural areas using three-dimensional (3D) building models constructed with GIS," Energy, Elsevier, vol. 282(C).
    2. Ehsan Kamel, 2022. "A Systematic Literature Review of Physics-Based Urban Building Energy Modeling (UBEM) Tools, Data Sources, and Challenges for Energy Conservation," Energies, MDPI, vol. 15(22), pages 1-24, November.
    3. Lodhi, Muhammad Kamran & Tan, Yumin & Wang, Xiaolu & Masum, Syed Muhammad & Nouman, Khan Muhammad & Ullah, Nasim, 2024. "Harnessing rooftop solar photovoltaic potential in Islamabad, Pakistan: A remote sensing and deep learning approach," Energy, Elsevier, vol. 304(C).

    More about this item

    Keywords

    buildings; database; seismic; risk;
    All these keywords.

    Statistics

    Access and download statistics

    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:jlands:v:12:y:2023:i:8:p:1594-:d:1216364. 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.