Coastal communities are confronted with a growing incidence of climate-induced flooding, necessitating adaptation measures for resilience. In this paper, we introduce a framework that integrates an urban digital twin with a geospatial dashboard to allow visualization of the vulnerabilities within critical infrastructure across a range of spatial and temporal scales. The synergy between these two technologies fosters heightened community awareness about increased flood risks to establish a unified understanding, the foundation for collective decision-making in adaptation plans. The paper also elucidates ethical considerations while developing the platform, including ensuring accessibility, promoting transparency and equity, and safeguarding individual privacy.
AdreaniLorenzoColomboCarloFanfaniMarcoNesiPaoloPantaleoGianniPisanuRiccardo. 2022. “A Photorealistic 3D City Modeling Framework for Smart City Digital Twin.” In 2022 IEEE International Conference on Smart Computing (SMARTCOMP), 299–304. doi:10.1109/SMARTCOMP55677.2022.00071.
2.
AlvaP.BiljeckiF.StouffsR.2022. “Use Cases for District-Scale Urban Digital Twins.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4-W4-2022:5–12. doi:10.5194/isprs-archives-XLVIII-4-W4-2022-5-2022.
3.
BartonHugh. 2016. City of Well-Being: A Radical Guide to Planning. London: Routledge. doi:10.4324/9781315438689.
4.
BattyMichael. 2018. “Digital Twins.” Environment and Planning B: Urban Analytics and City Science45 (5): 817–20. doi:10.1177/2399808318796416.
5.
Botín-SanabriaDiego M.MihaitaAdriana-SimonaPeimbert-GarcíaRodrigo E.Ramírez-MorenoMauricio A.Ramírez-MendozaRicardo A.Lozoya-SantosJorge de J. 2022. “Digital Twin Technology Challenges and Applications: A Comprehensive Review.” Remote Sensing14 (6): 1335. doi:10.3390/rs14061335.
6.
BrownMadelineChenChangjieThirumalaKrishnapriyaLuChenxueWangLuweiDasSubhadeepWoodsJuliana. 2023. “Visualizing and Tagging Trail Experiences.” Journal of Digital Landscape Architecture8:245–52. doi:10.14627/537740026.
ChaturvediKanishkMatheusAndreasNguyenSon H.KolbeThomas H.2019. “Securing Spatial Data Infrastructures for Distributed Smart City Applications and Services.” Future Generation Computer Systems101:723–36. doi:10.1016/j.future.2019.07.002.
9.
ChenChangjieJudgeJasmeetHulseDavid. 2022. “PyLUSAT: An Open-Source Python Toolkit for GIS-Based Land Use Suitability Analysis.” Environmental Modelling & Software151:105362. doi:10.1016/j.envsoft.2022.105362.
10.
de VriesJeffreyAtunF.KoevaM. N. 2022. “Assessing Potential Disruptions from Earthquakes in the Historical Peninsula in Istanbul Using 3d Modelling.” In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 17th 3D GeoInfo Conference, 29–36. Copernicus. https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-29-2022.
11.
DembskiFabianWössnerUweLetzgusMikeRuddatMichaelYamuClaudia. 2020. “Urban Digital Twins for Smart Cities and Citizens: The Case Study of Herrenberg, Germany.” Sustainability12 (6): 2307. doi:10.3390/su12062307.
12.
DembskiFabianYamuClaudiaWössnerUwe. 2019. “Digital Twin, Virtual Reality and Space Syntax: Civic Engagement and Decision Support for Smart, Sustainable Cities.” Proceedings of the 12th International Space Syntax Symposium, July, 316.1–316.13.
13.
DimitrovH.Petrova-AntonovaD.2021. “3d City Model as a First Step towards Digital Twin of Sofia City.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021:23–30. doi:10.5194/isprs-archives-XLIII-B4-2021-23-2021.
14.
DongEnshengDuHongruGardnerLauren. 2020. “An Interactive Web-Based Dashboard to Track COVID-19 in Real Time.” The Lancet Infectious Diseases20 (5): 533–34. doi:10.1016/S1473-3099(20)30120-1.
FanChaoZhangChengYahjaAlexMostafaviAli. 2021. “Disaster City Digital Twin: A Vision for Integrating Artificial and Human Intelligence for Disaster Management.” International Journal of Information Management56:102049. doi:10.1016/j.ijinfomgt.2019.102049.
GrögerGerhardPlümerLutz. 2012. “CityGML—Interoperable Semantic 3D City Models.” ISPRS Journal of Photogrammetry and Remote Sensing71:12–33. doi:10.1016/j.isprsjprs.2012.04.004.
20.
HanYuChenChangjiePengZhong-RenMozumderPallab. 2022. “Evaluating Impacts of Coastal Flooding on the Transportation System Using an Activity-Based Travel Demand Model: A Case Study in Miami-Dade County, FL.” Transportation49 (1): 163–84. doi:10.1007/s11116-021-10172-w.
21.
HenriksenHans JørgenSchneiderRaphaelKochJulianOndracekMariaTroldborgLarsSeidenfadenIda K.KraghSøren JulsgaardBøghEvaStisenSimon. 2023. “A New Digital Twin for Climate Change Adaptation, Water Management, and Disaster Risk Reduction (HIP Digital Twin).” Water15 (1): 25. doi:10.3390/w15010025.
22.
HillmannM.IgelbrinkF.WiemannT.2022. “Computing Arbitrarily Large Meshes with Level-of-Detail Support for Cesium 3D Tiles.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2-W1-2022:109–16. doi:10.5194/isprs-archives-XLVIII-2-W1-2022-109-2022.
23.
HossainShammamah. 2019. “Visualization of Bioinformatics Data with Dash Bio.” In Proceedings of the 18th Python in Science Conference, 126–33. doi:10.25080/Majora-7ddc1dd1-012.
24.
JingChangfengDuMingyiLiSongnianLiuSiyuan. 2019. “Geospatial Dashboards for Monitoring Smart City Performance.” Sustainability11 (20): 5648. doi:10.3390/su11205648.
25.
JovanovićDušanMilovanovStevanRuskovskiIgorGovedaricaMiroSladićDubravkaRadulovićAleksandraPajićVladimir. 2020. “Building Virtual 3D City Model for Smart Cities Applications: A Case Study on Campus Area of the University of Novi Sad.” ISPRS International Journal of Geo-Information9 (8): 476. doi:10.3390/ijgi9080476.
26.
KitchinRob. 2016. “The Ethics of Smart Cities and Urban Science.” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences374 (2083): 20160115. https://doi.org/10.1098/rsta.2016.0115.
27.
KitchinRobMcArdleGavin. 2016. “Urban Data and City Dashboards: Six Key Issues..” doi:10.31235/osf.io/k2epn.
28.
KolbeThomas H.KutznerTatjanaSmythCarl StephenNagelClausRoensdorfCarstenHeazelCharles. 2021. “OGC City Geography Markup Language (CityGML) Part 1: Conceptual Model Standard.” http://www.opengis.net/doc/IS/CityGML-1/3.0.
KumarK.LedouxH.StoterJ.2018. “Dynamic 3D Visualization of Floods: Case of the Netherlands.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4-W10:83–87. doi:10.5194/isprs-archives-XLII-4-W10-83-2018.
31.
KusterCorentinHettingaSannevan VlietTimScholtenHenkPaddingPaul. 2023. “The Social Digital Twin for Liveable Cities: A COVID-19 Case Study.” In Pandemic and the City, edited by CelbişMehmet GüneyKourtitKarimaNijkampPeter, 77–96. Cham: Springer International Publishing. doi:10.1007/978-3-031-21983-2_6.
32.
KutznerTatjanaChaturvediKanishkKolbeThomas H.2020. “CityGML 3.0: New Functions Open up New Applications.” PFG88 (1): 43–61. doi:10.1007/s41064-020-00095-z.
33.
LeiBinyuJanssenPatrickStoterJantienBiljeckiFilip. 2023. “Challenges of Urban Digital Twins: A Systematic Review and a Delphi Expert Survey.” Automation in Construction147:104716. doi:10.1016/j.autcon.2022.104716.
34.
LiXinFengMinRanYouhuaSuYangLiuFengHuangChunlinShenHuanfeng, et al2023. “Big Data in Earth System Science and Progress towards a Digital Twin.” Nature Reviews Earth & Environment4 (5): 319–32. doi:10.1038/s43017-023-00409-w.
35.
McArdleG.KitchinR.2016. “The Dublin Dashboard: Design and Development of a Real-Time Analytical Urban Dashboard.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4-W1:19–25. doi:10.5194/isprs-annals-IV-4-W1-19-2016.
NegulescuC.SmaiF.QuiqueR.HohmannA.ClainU.GuidezR.Tellez-ArenasA.QuentinA.GrandjeanG.2023. “VIGIRISKS Platform, a Web-Tool for Single and Multi-Hazard Risk Assessment.” Natural Hazards115 (1): 593–618. doi:10.1007/s11069-022-05567-6.
38.
NelsonT. A.GoodchildM. F.WrightD. J.2022. “Accelerating Ethics, Empathy, and Equity in Geographic Information Science.” Proceedings of the National Academy of Sciences119 (19): e2119967119. doi:10.1073/pnas.2119967119.
39.
NeumanMichael. 2005. “The Compact City Fallacy.” Journal of Planning Education and Research25 (1): 11–26. doi:10.1177/0739456X04270466.
40.
NițăMihai Daniel. 2021. “Testing Forestry Digital Twinning Workflow Based on Mobile LiDAR Scanner and AI Platform.” Forests12 (11): 1576. doi:10.3390/f12111576.
41.
NoorNorzailawati MohdAbdullahAliasHashimMazlan. 2018. “Remote Sensing UAV/Drones and Its Applications for Urban Areas: A Review.” IOP Conference Series: Earth and Environmental Science169 (1): 012003. doi:10.1088/1755-1315/169/1/012003.
42.
ODM Authors. 2023. “ODM—A Command Line Toolkit to Generate Maps, Point Clouds, 3D Models and DEMs from Drone, Balloon or Kite Images.”https://github.com/OpenDroneMap/ODM.
43.
Petrova-AntonovaDessislavaIlievaSylvia. 2019. “Methodological Framework for Digital Transition and Performance Assessment of Smart Cities.” In 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech), 1–6. doi:10.23919/SpliTech.2019.8783170.
44.
Pluto-KossakowskaJoannaFijałkowskaAnnaDenisMałgorzataJaroszewiczJoannaKrzysztofowiczSylwia. 2022. “Dashboard as a Platform for Community Engagement in a City Development—A Review of Techniques, Tools and Methods.” Sustainability14 (17): 10809. doi:10.3390/su141710809.
45.
PraharajS.WentzE.2022. “Building Community Resilience Through Geospatial Information Dashboards.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4-W5-2022:151–57. doi:10.5194/isprs-archives-XLVIII-4-W5-2022-151-2022.
46.
PraharajSarbeswarSolisPatriciaWentzElizabeth A. 2023. “Deploying Geospatial Visualization Dashboards to Combat the Socioeconomic Impacts of COVID-19.” Environment and Planning B: Urban Analytics and City Science50 (5): 1262–1279. https://doi.org/10.1177/23998083221142863.
47.
RantanenToniJulinArttuVirtanenJuho-PekkaHyyppäHannuVaajaMatti T.2023. “Open Geospatial Data Integration in Game Engine for Urban Digital Twin Applications.” ISPRS International Journal of Geo-Information12 (8): 310. doi:10.3390/ijgi12080310.
48.
RiazKhurramMcAfeeMarionGharbiaSalem S.2023. “Management of Climate Resilience: Exploring the Potential of Digital Twin Technology, 3D City Modelling, and Early Warning Systems.” Sensors23 (5): 2659. doi:10.3390/s23052659.
49.
SchrotterGerhardHürzelerChristian. 2020. “The Digital Twin of the City of Zurich for Urban Planning.” PFG88 (1): 99–112. doi:10.1007/s41064-020-00092-2.
50.
ShahatEhabHyunChang T.YeomChunho. 2021. “City Digital Twin Potentials: A Review and Research Agenda.” Sustainability13 (6): 3386. doi:10.3390/su13063386.
51.
ShirinyanEvgenyPetrova-AntonovaDessislava. 2022. “Modeling Buildings in CityGML LOD1: Building Parts, Terrain Intersection Curve, and Address Features.” ISPRS International.” Journal of Geo-Information11 (3): 166. doi:10.3390/ijgi11030166.
UgglaMariaOlssonPerolaAbdiBarzanAxelssonBjörnCalvertMatthewChristensenUlrikaGardevärnDaniel, et al2023. “Future Swedish 3D City Models—Specifications, Test Data, and Evaluation.” ISPRS International Journal of Geo-Information12 (2): 47. doi:10.3390/ijgi12020047.
WolfKristinaDawsonRichard J.MillsJon P.BlythePhilMorleyJeremy. 2022. “Towards a Digital Twin for Supporting Multi-Agency Incident Management in a Smart City.” Scientific Reports12 (1): 16221. doi:10.1038/s41598-022-20178-8.
58.
WuXiaotaoLuGuihuaWuZhiyong. 2023. “Remote Sensing Technology in the Construction of Digital Twin Basins: Applications and Prospects.” Water15 (11): 2040. doi:10.3390/w15112040.
59.
XueFanLuWeishengChenZheWebsterChristopher J.2020. “From LiDAR Point Cloud towards Digital Twin City: Clustering City Objects Based on Gestalt Principles.” ISPRS Journal of Photogrammetry and Remote Sensing167:418–31. doi:10.1016/j.isprsjprs.2020.07.020.
60.
YaoZhihangNagelClausKundeFelixHudraGyörgyWillkommPhilippDonaubauerAndreasAdolphiThomasKolbeThomas H.2018. “3DCityDB—a 3D Geodatabase Solution for the Management, Analysis, and Visualization of Semantic 3D City Models Based on CityGML.” Open Geospatial Data, Software and Standards3 (1): 5. doi:10.1186/s40965-018-0046-7.
61.
YeXinyueDuJiaxinHanYuNewmanGalenRetchlessDavidZouLeiHamYoungjibCaiZhenhang. 2023. “Developing Human-Centered Urban Digital Twins for Community Infrastructure Resilience: A Research Agenda.” Journal of Planning Literature38:187–99. doi:10.1177/08854122221137861.
