{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:47:49Z","timestamp":1787028469192,"version":"3.56.0"},"reference-count":38,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T00:00:00Z","timestamp":1751673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["A77489"],"award-info":[{"award-number":["A77489"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["A80427"],"award-info":[{"award-number":["A80427"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Aalto University, School of Engineering","award":["A77489"],"award-info":[{"award-number":["A77489"]}]},{"name":"Aalto University, School of Engineering","award":["A80427"],"award-info":[{"award-number":["A80427"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>This study explores the reuse of high-resolution 3D spatial datasets for multiple urban analyses within a game engine environment, aligning with circular economy principles in sustainable urban planning. The work is situated in two residential test areas in Finland, where watershed analysis, lighting simulation, and change detection were conducted using data acquired through drone photogrammetry and terrestrial laser scanning. These datasets were processed and visualized using Unreal Engine 5.5, enabling the interactive, multitemporal exploration of urban phenomena. The results demonstrate how a single photogrammetric dataset\u2014originally captured for visual or structural purposes\u2014can serve a broad range of analytical functions, such as simulating seasonal lighting conditions, modeling stormwater runoff, and visualizing spatial changes over time. The study highlights the importance of capturing data at a resolution that satisfies the most demanding intended use, while allowing simpler analyses to benefit simultaneously. Reflections on game engine capabilities, data quality thresholds, and user interactivity underline the feasibility of integrating such tools into citizen participation, housing company decision making, and urban governance. The findings advocate for a circular data approach in urban planning, reducing redundant fieldwork and supporting sustainable data practices through multi-purpose digital twins and spatial simulations.<\/jats:p>","DOI":"10.3390\/ijgi14070265","type":"journal-article","created":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T04:43:37Z","timestamp":1751863417000},"page":"265","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Three-Dimensional Multitemporal Game Engine Visualizations for Watershed Analysis, Lighting Simulation, and Change Detection in Built Environments"],"prefix":"10.3390","volume":"14","author":[{"given":"Heikki","family":"Kauhanen","sequence":"first","affiliation":[{"name":"Department of Built Environment, Aalto University, 02150 Espoo, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3781-7204","authenticated-orcid":false,"given":"Toni","family":"Rantanen","sequence":"additional","affiliation":[{"name":"Department of Built Environment, Aalto University, 02150 Espoo, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Petri","family":"R\u00f6nnholm","sequence":"additional","affiliation":[{"name":"Department of Built Environment, Aalto University, 02150 Espoo, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2126-4934","authenticated-orcid":false,"given":"Osama Bin","family":"Shafaat","sequence":"additional","affiliation":[{"name":"Department of Built Environment, Aalto University, 02150 Espoo, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaisa","family":"Jaalama","sequence":"additional","affiliation":[{"name":"Built Environment Solutions, Finnish Environment Institute Finland, Latokartanonkaari 11, 00790 Helsinki, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9887-1573","authenticated-orcid":false,"given":"Arttu","family":"Julin","sequence":"additional","affiliation":[{"name":"Department of Built Environment, Aalto University, 02150 Espoo, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9907-0516","authenticated-orcid":false,"given":"Matti","family":"Vaaja","sequence":"additional","affiliation":[{"name":"Department of Built Environment, Aalto University, 02150 Espoo, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,5]]},"reference":[{"key":"ref_1","first-page":"4551","article-title":"Processing of Multitemporal 3D Point Cloud Data for Use in Reconstructing Historical Geographic Scenarios","volume":"34","author":"Lin","year":"2022","journal-title":"Sens. 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