Indicator Engineering on a Cloud-Edge GIS Platform Assisting Post-Seismic Reconstruction and Rehabilitation
In every sphere, for policy-makers, geography increasingly proves to be a key discipline for understanding and knowing the territory, making informed decisions, and taking consequent actions for the welfare of citizens. Spatial planning for post-seismic reconstruction emphasizes safety and memories,...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11112560/ |
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| author | Fabio Franchi Francesco Zullo Alessandra Galassi |
| author_facet | Fabio Franchi Francesco Zullo Alessandra Galassi |
| author_sort | Fabio Franchi |
| collection | DOAJ |
| description | In every sphere, for policy-makers, geography increasingly proves to be a key discipline for understanding and knowing the territory, making informed decisions, and taking consequent actions for the welfare of citizens. Spatial planning for post-seismic reconstruction emphasizes safety and memories, and is closely linked to recovery plans. This paper focuses on the case of 56 small Italian municipalities that were severely damaged by a devastating earthquake in 2009. An innovative ICT platform for services on spatial databases has been designed and developed to support the activities of a special Public Administration established ad hoc to guide the post-seismic reconstruction process in Italy, for which monitoring the status of works is a milestone, as well as having a clear and official informative tool. With concurrent and collaborative access to georeferenced data, this is a hybrid cloud/edge/on-premise architecture that leverages the capabilities of GIS, new disruptive technologies, indicator engineering, and database performance optimization. Its implementation and application are presented so that it can also be used in other (similar) contexts, with any adaptations. In addition, the proposed solution can be useful for both short-term and long-term developments, such as analysis of (cyber-)security scenarios, integration with 5G networks, and provision of public smart utilities. |
| format | Article |
| id | doaj-art-e27e5a4efeb94b48ad99da35565a98d1 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-e27e5a4efeb94b48ad99da35565a98d12025-08-20T04:02:18ZengIEEEIEEE Access2169-35362025-01-011313706713708510.1109/ACCESS.2025.359570811112560Indicator Engineering on a Cloud-Edge GIS Platform Assisting Post-Seismic Reconstruction and RehabilitationFabio Franchi0https://orcid.org/0000-0001-9558-5344Francesco Zullo1https://orcid.org/0000-0002-9124-0776Alessandra Galassi2https://orcid.org/0000-0001-6847-004XDepartment of Information Engineering, Computer Science and Mathematics, Università degli Studi dell’Aquila, L’Aquila, ItalyDepartment of Civil, Architecture and Environmental Engineering, Università degli Studi dell’Aquila, L’Aquila, ItalyDepartment of Information Engineering, Computer Science and Mathematics, Università degli Studi dell’Aquila, L’Aquila, ItalyIn every sphere, for policy-makers, geography increasingly proves to be a key discipline for understanding and knowing the territory, making informed decisions, and taking consequent actions for the welfare of citizens. Spatial planning for post-seismic reconstruction emphasizes safety and memories, and is closely linked to recovery plans. This paper focuses on the case of 56 small Italian municipalities that were severely damaged by a devastating earthquake in 2009. An innovative ICT platform for services on spatial databases has been designed and developed to support the activities of a special Public Administration established ad hoc to guide the post-seismic reconstruction process in Italy, for which monitoring the status of works is a milestone, as well as having a clear and official informative tool. With concurrent and collaborative access to georeferenced data, this is a hybrid cloud/edge/on-premise architecture that leverages the capabilities of GIS, new disruptive technologies, indicator engineering, and database performance optimization. Its implementation and application are presented so that it can also be used in other (similar) contexts, with any adaptations. In addition, the proposed solution can be useful for both short-term and long-term developments, such as analysis of (cyber-)security scenarios, integration with 5G networks, and provision of public smart utilities.https://ieeexplore.ieee.org/document/11112560/GIScloud computingedge computingindicator engineeringpost-seismic reconstruction |
| spellingShingle | Fabio Franchi Francesco Zullo Alessandra Galassi Indicator Engineering on a Cloud-Edge GIS Platform Assisting Post-Seismic Reconstruction and Rehabilitation IEEE Access GIS cloud computing edge computing indicator engineering post-seismic reconstruction |
| title | Indicator Engineering on a Cloud-Edge GIS Platform Assisting Post-Seismic Reconstruction and Rehabilitation |
| title_full | Indicator Engineering on a Cloud-Edge GIS Platform Assisting Post-Seismic Reconstruction and Rehabilitation |
| title_fullStr | Indicator Engineering on a Cloud-Edge GIS Platform Assisting Post-Seismic Reconstruction and Rehabilitation |
| title_full_unstemmed | Indicator Engineering on a Cloud-Edge GIS Platform Assisting Post-Seismic Reconstruction and Rehabilitation |
| title_short | Indicator Engineering on a Cloud-Edge GIS Platform Assisting Post-Seismic Reconstruction and Rehabilitation |
| title_sort | indicator engineering on a cloud edge gis platform assisting post seismic reconstruction and rehabilitation |
| topic | GIS cloud computing edge computing indicator engineering post-seismic reconstruction |
| url | https://ieeexplore.ieee.org/document/11112560/ |
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