Abstract
Virtual city is the frontier field of 3D city geographic information system research. For this reason, first, how to build a city 3D landscape is discussed and researched. At the same time, it outlines the development situation and basic principles of city 3D simulation and then analyzes the establishment of 3D city. There are two methods of landscape which focuses on the realization methods of 3D scene modeling, dynamic simulation and real-time driving, then presents the role, significance and development prospects of the dynamic simulation technology of urban 3D landscape and summarizes the 3D simulation besides real-time driving of the city. GIS combined with the application possibilities and development direction produced an application example of urban 3D landscape dynamic simulation. From the perspective of comprehensive quantitative evaluation of landscape vision, a comprehensive evaluation metric system based on basic visual elements and landscape vision sensitivity is designed, and a comprehensive evaluation method of landscape vision based on GIS spatial analysis and fuzzy analytic hierarchy process is proposed. From both an overall and a single-factor perspective, this research objectively exposes the distribution characteristics of landscape visual resources and their affecting elements. The comparison with the urban landscape evaluation results based on user scores verifies the reliability and advancement of this method, which is a quantitative description and evaluation of the landscape. Visual resources provide a new research idea and research method and also provide an objective reference and decision support for the comprehensive development planning of scenic spots and the development and protection of urban landscapes.












Similar content being viewed by others
Availability of data and material
This section is not applicable for this research.
Code availability
This section is not applicable for this research.
References
Ahmadi MA, Karimi-Moshaver M (2018) Analyzing the visibility of high-rise buildings in the urban landscapes using GIS (case study of Sanandaj city). Motaleate Shahri 7(26):31–42
Chen Z, Xu B (2016) Enhancing urban landscape configurations by integrating 3D landscape pattern analysis with people’s landscape preferences. Environ Earth Sci 75:1018. https://doi.org/10.1007/s12665-016-5272-7
Colucci E, De Ruvo V, Lingua A et al (2020) HBIM-GIS integration: from IFC to cityGML standard for damaged cultural heritage in a multiscale 3D GIS. Appl Sci 10(4):1356
Deng DP et al (2012) Using social media for collaborative species identification and occurrence. In: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information—GEOCROWD. doi:https://doi.org/10.1145/2442952.2442957
Deng S, Zhang X, Shao Z et al (2019) An integrated urban stormwater model system supporting the whole life cycle of sponge city construction programs in China. J Water Climate Change 10(2):298–312
El-Hallaq MA, Alastal AI, Salha RA (2019) Enhancing Sustainable development through web based 3D smart city model using GIS and BIM case study: Sheikh Hamad City. J Geogr Inform Syst 11(03):321
El-Sayad ZT, Ayad HM (2019) VRGIS as assistance tool for urban decision making: Rafah–Gaza–Palestine. Alex Eng J 58(1):367–375
Fan X, Zhou B, Wang HH (2021) Urban landscape ecological design and stereo vision based on 3D mesh simplification algorithm and artificial intelligence. Neural Process Lett 53:2421–2437
Florez SY, Aguilar LJ, Marín CE (2013) Geographic web services and tools as instruments for territorial management. Tecciencia 7(14):31–38. https://doi.org/10.18180/tecciencia.2013.14.4
Kaya HS, Mutlu H (2017) Modelling 3D spatial enclosure of urban open spaces. J Urban Des 22(1):96–115
Koziatek O, Dragićević S (2017) iCity 3D: a geosimualtion method and tool for three-dimensional modeling of vertical urban development. Landsc Urban Plan 167:356–367
Lafrance F, Daniel S, Dragićević S (2019) Multidimensional web GIS approach for citizen participation on urban evolution. ISPRS Int J Geo Inf 8(6):253
Lee YW, Huh JH (2020) Evaluation of urban landscape outdoor advertisement signboards using virtual reality. Land 9(5):141
Liu X (2020) Three-dimensional visualized urban landscape planning and design based on virtual reality technology. IEEE Access 8:149510–149521
Machete R, Falcão AP, Gomes MG et al (2018) The use of 3D GIS to analyse the influence of urban context on buildings’ solar energy potential. Energy Build 177:290–302
Minner J, Chusid J (2017) Visualizing the past, present, and future of New York city’s 1964–5 world’s fair site using 3D GIS and procedural modeling. Cell 607:4004
Munn K, Dragićević S (2020) Spatial multi-criteria evaluation in 3D context: suitability analysis of urban vertical development. Cartogr Geogr Inf Sci 18:1–19
Pacheco A, Bolivar-Baron H, Gonzalez-Crespo R, Pascual-Espada J (2014) Reconstruction of high resolution 3D objects from incomplete images and 3D information. Int J Interact Multimed Artif Intell 2(6):7. https://doi.org/10.9781/ijimai.2014.261
Ramírez-Eudave R, Ferreira TM (2020) On the suitability of a unified GIS-BIM-HBIM framework for cataloguing and assessing vulnerability in historic urban landscapes: a critical review. Int J Geogr Inf Sci 16:1–31
Ruzickova K, Ruzicka J, Bitta J (2021) A new GIS-compatible methodology for visibility analysis in digital surface models of earth sites. Geosci Front 12(4):101109
Saretta E, Caputo P, Frontini F (2020) An integrated 3D GIS-based method for estimating the urban potential of BIPV retrofit of façades. Sustain Cities Soc 62:102410
Shalaginov A et al (2020) Review of the malware categorization in the era of changing cybethreats landscape: common approaches, challenges and future needs. In: Stamp M, Alazab M, Shalaginov A (eds) Malware analysis using artificial intelligence and deep learning. Springer, Cham, pp 71–96
Shirowzhan S, Sepasgozar SME (2019) Spatial analysis using temporal point clouds in advanced GIS: methods for ground elevation extraction in slant areas and building classifications. ISPRS Int J Geo Inf 8(3):120
Telega A, Telega I, Bieda A (2021) Measuring walkability with GIS—methods overview and new approach proposal. Sustainability 13(4):1883
Viana-Fons JD, Gonzálvez-Maciá J, Payá J (2020) Development and validation in a 2D-GIS environment of a 3D shadow cast vector-based model on arbitrarily orientated and tilted surfaces. Energy Build 224:110258
Xu Y, Liu M, Hu Y et al (2019) Analysis of three-dimensional space expansion characteristics in old industrial area renewal using GIS and barista: a case study of Tiexi District, Shenyang, China. Sustainability 11(7):1860
Yin L (2017) Street level urban design qualities for walkability: combining 2D and 3D GIS measures. Comput Environ Urban Syst 64:288–296
Young MA, Wedding LM, Carr MH (2017) Applying landscape ecology for the design and evaluation of marine protected area networks. In: Pitmann SJ (ed) Seascape ecology. Wiley, New York, pp 429–462
Yu KH, Zhang Y, Li D, Montenegro-Marin CE, Kumar PM (2021) Environmental planning based on reduce, reuse, recycle and recover using artificial intelligence. Environ Impact Assess Rev 86:106492. https://doi.org/10.1016/j.eiar.2020.106492
Zheng L, An H, Zhang Y (2020) Research on 3D data modeling of virtual city environment based on GIS. Microprocess Microsyst 103392
Zhu S, Du S, Li Y et al (2020) A 3D spatiotemporal morphological database for urban green infrastructure and its applications. Urban For Urban Green 126935
Funding
Authors did not receive funding support from any organizations for this research.
Author information
Authors and Affiliations
Contributions
PYS: conceptualization, investigation, resources, project administration, validation, writing—review & editing. WS: data curation, methodology, software, writing—original draft.
Corresponding author
Ethics declarations
Conflict of interest
Authors do not have any conflicts.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Shan, P., Sun, W. Research on 3D urban landscape design and evaluation based on geographic information system. Environ Earth Sci 80, 597 (2021). https://doi.org/10.1007/s12665-021-09886-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12665-021-09886-y

