Abstract

Abstract. Cities are consistently motivated to come up with technology-driven solutions that aim to reduce the negative impacts of rapid urbanization. This paper explores open-source software as a platform in visualizing and developing a digital twin, which aids in mitigating the problem by running simulations and generating potential improvements through generated insights. The four essential components examined to develop the methodology are: (1) Visualization of Digital Model; (2) Identification of User Interface and Data Management Requirements; (3) User Interface Set-up and Configuration; and (4) Analysis and Simulations. Different tools for visualizing the city such as Unity3D, QGIS2threejs, and TerriaMap were explored and compared. Though Unity3D and QGIS2threejs can visualize 3D city models, TerriaMap was favored for its capability to visualize large areas in 3D and to create customizable user interfaces. User interface components were identified as well as handling and processing geospatial datasets. For the analysis and simulations, the Land Surface Temperature hotspot detection was performed and integrated into the system to demonstrate its potential to include other simulations in the future.

Highlights

  • The number of people moving to and settling in urban areas is steadily increasing

  • One way of mitigating the negative impact of rapid urbanization and making it sustainable is the implementation of smart city solutions in managing the city

  • This paper aims to develop the methodology for creating a digital twin, using only open-source software

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Summary

Introduction

A UN projection shows that around half (50.1%) of the population in the Philippines will be residing in urban areas by the year 2028. One way of mitigating the negative impact of rapid urbanization and making it sustainable is the implementation of smart city solutions in managing the city. One such solution is the creation of a digital twin of the city where its status can be monitored (Johannes, 2019). Simulations of future projects can be done within the digital twin to determine its effects on the city before it is implemented in situ (Hurtado and Gomez, 2021)

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