000131823 001__ 131823
000131823 005__ 20240219150722.0
000131823 0247_ $$2doi$$a10.3390/su13116028
000131823 0248_ $$2sideral$$a126256
000131823 037__ $$aART-2021-126256
000131823 041__ $$aeng
000131823 100__ $$0(orcid)0000-0001-9455-0414$$aBeltran-Velamazan C.$$uUniversidad de Zaragoza
000131823 245__ $$aA method for the automated construction of 3d models of cities and neighborhoods from official cadaster data for solar analysis
000131823 260__ $$c2021
000131823 5060_ $$aAccess copy available to the general public$$fUnrestricted
000131823 5203_ $$a3D city models are a useful tool to analyze the solar potential of neighborhoods and cities. These models are built from buildings footprints and elevation measurements. Footprints are widely available, but elevation datasets remain expensive and time-consuming to acquire. Our hypothesis is that the GIS cadastral data can be used to build a 3D model automatically, so that generating complete cities 3D models can be done in a short time with already available data. We propose a method for the automatic construction of 3D models of cities and neighborhoods from 2D cadastral data and study their usefulness for solar analysis by comparing the results with those from a hand-built model. The results show that the accuracy in evaluating solar access on pedestrian areas and solar potential on rooftops with the automatic method is close to that from the hand-built model with slight differences of 3.4% and 2.2%, respectively. On the other hand, time saving with the automatic models is significant. A neighborhood of 400, 000 m2 can be built up in 30 min, 50 times faster than by hand, and an entire city of 967 km2 can be built in 8.5 h. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
000131823 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-104871RB-C21
000131823 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000131823 590__ $$a3.889$$b2021
000131823 591__ $$aENVIRONMENTAL SCIENCES$$b133 / 279 = 0.477$$c2021$$dQ2$$eT2
000131823 591__ $$aENVIRONMENTAL STUDIES$$b57 / 128 = 0.445$$c2021$$dQ2$$eT2
000131823 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b35 / 47 = 0.745$$c2021$$dQ3$$eT3
000131823 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b7 / 9 = 0.778$$c2021$$dQ4$$eT3
000131823 592__ $$a0.664$$b2021
000131823 593__ $$aEnergy Engineering and Power Technology$$c2021$$dQ1
000131823 593__ $$aRenewable Energy, Sustainability and the Environment$$c2021$$dQ1
000131823 593__ $$aManagement, Monitoring, Policy and Law$$c2021$$dQ1
000131823 593__ $$aGeography, Planning and Development$$c2021$$dQ1
000131823 594__ $$a5.0$$b2021
000131823 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000131823 700__ $$0(orcid)0000-0002-0492-3625$$aMonzón-Chavarrías M.$$uUniversidad de Zaragoza
000131823 700__ $$0(orcid)0000-0003-1458-7685$$aLópez-Mesa B.$$uUniversidad de Zaragoza
000131823 7102_ $$15015$$2110$$aUniversidad de Zaragoza$$bDpto. Arquitectura$$cÁrea Construc. Arquitectónicas
000131823 773__ $$g13, 11 (2021), 6028 [19 pp.]$$pSustainability (Basel)$$tSustainability (Switzerland)$$x2071-1050
000131823 8564_ $$s7978439$$uhttps://zaguan.unizar.es/record/131823/files/texto_completo.pdf$$yVersión publicada
000131823 8564_ $$s2781404$$uhttps://zaguan.unizar.es/record/131823/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000131823 909CO $$ooai:zaguan.unizar.es:131823$$particulos$$pdriver
000131823 951__ $$a2024-02-19-13:27:23
000131823 980__ $$aARTICLE