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Agent-Based Modelling for Enhancing Liveability: Addressing Overcrowded Living Conditions among Urban Migrants

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27120%2F24%3A10258292" target="_blank" >RIV/61989100:27120/24:10258292 - isvavai.cz</a>

  • Result on the web

    <a href="https://inz-min.online/index.php/im/en/article/view/777/1438" target="_blank" >https://inz-min.online/index.php/im/en/article/view/777/1438</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.29227/IM-2024-02-63" target="_blank" >10.29227/IM-2024-02-63</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Agent-Based Modelling for Enhancing Liveability: Addressing Overcrowded Living Conditions among Urban Migrants

  • Original language description

    The migration started 60000 years ago out of Africa; the homo sapiens dispersed across Eurasia. Migration is an everyday act; millions of people migrate to places yearly for a good life, well-being, escape from natural calamities and so on. Cities and Urban areas face a massive influx of population from migration; cities sometimes find it hard to accommodate these migrating people. Millions of people in big cities live without enough space and have a low quality of life. Climate change and urban sprawling make the living conditions worse in cities. This article contains the internal migration data of people from 10 rural areas to a city from 2017-2022. Using this data by using regression, we find out the migration rate of the last five years and also the number of people expected to arrive in the city from the ten rural areas by 2023.Using Agent-based modelling, what kind of accommodation they choose is found out .The result from the study can be used for the city authorities to plan buildings in such a way that buildings are designed which is affordable does not consume green fields present in the cities and also in a sustainable way to promote climate resilience.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20100 - Civil engineering

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

  • Name of the periodical

    Inżynieria Mineralna. Vol. 1, no. 1 (2024)

  • ISSN

    1640-4920

  • e-ISSN

    1640-4920

  • Volume of the periodical

    1

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    PL - POLAND

  • Number of pages

    6

  • Pages from-to

    nestránkováno

  • UT code for WoS article

    001696973800031

  • EID of the result in the Scopus database