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<p>All twins share the same past. But a digital twin does not. Though the <i>Digital Twin Consortium</i> states that Digital Twins (abbr. DT) use “<i>historical data to represent the past and present and simulate predicted futures</i>”, historical heritage data are rarely addressed. It requires access to anything that is preserved digitally: a share comes from institutions today dedicated to this preservation, supplemented, fortunately, by millions of individual contributions, the “volunteer geographic information” (abbr. VGI). We focus on railways. <i>Rail enthusiasts</i> have contributed quantities of original information on features of which few or nothing remains today. Relating features thru time can rely only on geographical locations, and these locations have a past, what requires a time translation. This article proposes a GIS, augmented with tools for accessing and interpreting VGI, giving this GIS the attributes of a digital twin. Rail enthusiasts' VGI is at risk: often published on loosely maintained websites by an aging community of volunteers, the current number of missing links is a testament to what is already lost,, at a rate that is accelerating as the contributors age. We aim to add tracking capabilities of endangered VGI to DT, and raise awareness about preserving this VGI in sustainable web archives. The main modules of the DT are continuous enhancing of collected data, quality monitoring, Internet retrieval of heritage-oriented VGI, computer simulations, diachronic comparisons and analyses, and archiving assistance. The architecture is a flexible collection of independent modules, combined as a pyramid whose base is a simple GIS, and communicating thru messages. This architecture allows to add modules easily depending on the intended use of the Digital Twin, including interaction with AI agents.</p>

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A digital twin to promote and preserve the endangered volunteer geographic information

  • 期刊论文

  • 发表日期：

    2025年5月29日

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  • Robert Jeansoulin

摘要

All twins share the same past. But a digital twin does not. Though the Digital Twin Consortium states that Digital Twins (abbr. DT) use “historical data to represent the past and present and simulate predicted futures”, historical heritage data are rarely addressed. It requires access to anything that is preserved digitally: a share comes from institutions today dedicated to this preservation, supplemented, fortunately, by millions of individual contributions, the “volunteer geographic information” (abbr. VGI). We focus on railways. Rail enthusiasts have contributed quantities of original information on features of which few or nothing remains today. Relating features thru time can rely only on geographical locations, and these locations have a past, what requires a time translation. This article proposes a GIS, augmented with tools for accessing and interpreting VGI, giving this GIS the attributes of a digital twin. Rail enthusiasts' VGI is at risk: often published on loosely maintained websites by an aging community of volunteers, the current number of missing links is a testament to what is already lost,, at a rate that is accelerating as the contributors age. We aim to add tracking capabilities of endangered VGI to DT, and raise awareness about preserving this VGI in sustainable web archives. The main modules of the DT are continuous enhancing of collected data, quality monitoring, Internet retrieval of heritage-oriented VGI, computer simulations, diachronic comparisons and analyses, and archiving assistance. The architecture is a flexible collection of independent modules, combined as a pyramid whose base is a simple GIS, and communicating thru messages. This architecture allows to add modules easily depending on the intended use of the Digital Twin, including interaction with AI agents.