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Investigating MIDR through AI: A Case Study of Most City in the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21450%2F24%3A00367761" target="_blank" >RIV/68407700:21450/24:00367761 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.14311/APP.2024.46.0040" target="_blank" >https://doi.org/10.14311/APP.2024.46.0040</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14311/APP.2024.46.0040" target="_blank" >10.14311/APP.2024.46.0040</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Investigating MIDR through AI: A Case Study of Most City in the Czech Republic

  • Original language description

    This article investigates the phenomenon of mining-induced displacement and resettlement (MIDR) in post-mining cities, specifically focusing on Most City in the Czech Republic. Post-mining cities often face challenges associated with population decline, ageing infrastructure, and a lack of economic opportunities. To address these challenges, some cities have implemented urban relocation programs to consolidate populations and resources in more sustainable locations. However, the effectiveness of such programs needs to be better understood. This article presents the case study of Most City to explore the dynamics of MIDR of post-mining cities. Drawing on interviews with city officials, residents, and experts, as well as a review of relevant literature, the article identifies the key drivers and challenges of MIDR in the context of Most City. The paper also evaluates the outcomes of the relocation program in terms of social, economic, and environmental sustainability. Ultimately, this article discusses that MIDR can be a viable strategy for post-mining cities, provided that it is implemented in a manner that caters to the specific needs and challenges of each city, with the aid of digital technology, such as artificial intelligence (AI).

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    60500 - Other Humanities and the Arts

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Regional Development Between Theory and Practice - Regional Development as Part of Europe's Sustainable Transformation

  • ISBN

    978-80-01-07276-9

  • ISSN

    2336-5382

  • e-ISSN

    2336-5382

  • Number of pages

    7

  • Pages from-to

    40-46

  • Publisher name

    České vysoké učení technické v Praze

  • Place of publication

    Praha

  • Event location

    Prague

  • Event date

    Jun 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article