Work

Developing Advanced Digital Twin Models to Accurately Predict the Long- Term Environmental Impact of Urban Development on Local Ecosystems

Year: 2024

Type: conference-paper

Abstract: Advanced digital twin models offer a powerful tool for accurately predicting the long-term environmental impact of urban development on local ecosystems. This study explores the integration of real-time data, machine learning, and simulation techniques in creating dynamic digital twins. Results highlight significant improvements in predictive accuracy, enabling more informed decision-making for sustainable urban planning.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14274456

Author: Al-Qarni, Areej

Institution: King Abdullah University of Science and Technology

Language: English

Topic: Smart Cities and Technologies

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Climate action, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6949370189

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