Abstract
With the development of information technology and China’s urban economy, the concept of smart cities has been proposed many times. Planning and designing cityscapes are essential in the process of building smart cities. There are many factors to consider when designing and planning traditional cityscapes, and these factors must be studied in combination with modern developments and characteristics. Information technology can provide massive data support and technical support for these studies. With the support of information technology, cities and modern technology can be closely connected. This paper proposes research on digital cityscape planning and design under spatial information technology using literature methods, field survey methods, comparative survey methods, and other methods. First, we deeply study spatial information technology and theoretical knowledge of digital cityscape planning and design; then, we design a spatial gray-level co-occurrence matrix model, collect urban vegetation data maps via remotely sensed images, and finally analyze the planning and design of digital cityscapes. After landscape planning, the vegetation was rated at 38.94 points, approximately 12 points higher than the rating given before planning. This result shows that after reasonable landscape planning and design, the needs of people for green plants can be met well, and the ecological value of digital urban spatial landscapes can be fully utilized. These results are important for maintaining the diversity of urban biodiversity, regulating the regional climate, and maintaining urban spaces, and the ecological balance of the entire city also plays a vital role.
Similar content being viewed by others
References
Zhan H (2021) Interactive application of virtual reality and intelligent big data in landscape design. Secur Commun Netw. https://doi.org/10.1155/2021/5572841
Hashem IAT, Chang V, Anuar NB et al (2016) The role of big data in smart city. Int J Inf Manage 36(5):748–758
Lakshmanan I, Partheeban P (2020) Assessment of flood and flood hazard zone using geospatial information technology. J Crit Rev 7(4):1187–1191
Vlachou JA, Drigas A (2017) Mobile technology for students and adults with autistic spectrum disorders (ASD). Int J Interact Mob Technol 11(1):4–17
Youming Z (2016) Application on planning and operation of spatial information technology in industrial technology innovation strategic alliance. Int J Smart Home 10(3):75–82
Siabato W, Moya-Honduvilla J, Bernabé-Poveda MÁ (2016) Supporting aeronautical information management (AIM) through geographic information technologies and spatial data infrastructures (SDI). Int J Appl Geospatial Res 7(3):1–37
Jin Y, Qian Z, Gong S, Yang W (2021) Learning transferable driven and drone assisted sustainable and robust regional disease surveillance for smart healthcare. IEEE ACM Trans Comput Biol Bioinform 18(1):114–125
Iwamura K, Nakanishi Y (2018) Geospatial information technologies for expanding renewable energy. IEEJ Trans Power Energy 138(11):850–853
Endalew M, Shiferaw W, Kindie A (2019) Development of web mapping application for spatial ecotourism information using QGIS plugin and freely available web platforms in north west highlands of Ethiopia a case study: Chokie mountain watersheds. Adv Internet Things 9(3):50–61
Matsumoto T, Mizuuchi Y, Furuya K (2016) A study on grasp of utilization form in Koishikawa Korakuen by using visitor employed photography and spatial information technology. J Jpn Inst Landsc Archit 79(5):477–482
Paul A, Mal P, Gulgulia PK et al (2019) Spatial progression of estate property management system with customized freeware GIS. Int J Inf Technol 11(2):341–344
Omati M, Sahebi MR, Amerian Y (2020) Separation between anomalous targets and background based on the decomposition of reduced dimension hyperspectral image (Text in Persian). J Geospatial Inf Technol 8(3):21–38
Nezhad SA, Zoej MJV, Jannati M (2020) Accuracy improvement of best scanline search algorithms for object to image transformation of linear Pushbroom imagery. J Geospatial Inf Technol 8(1):23–38
Shahvandi MK, Chegini N, Safari A et al (2020) Producing gravity acceleration at sea surface in Persian Gulf using ellipsoidal splines. J Geospatial Inf Technol 8(1):63–78
Wang T, Bhuiyan MZA, Wang G et al (2018) Big data reduction for a smart city’s critical infrastructural health monitoring. IEEE Commun Mag 56(3):128–133
Centenaro M, Vangelista L, Zanella A et al (2016) Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios. IEEE Wirel Commun 23(5):60–67
Samee S, Vengatesan K, Bhaskar MS et al (2017) Smart city automatic garbage collecting system for a better tomorrow. Int J Pure Appl Math 114(9):455–463
Khosiawan Y, Park Y, Moon I et al (2019) Task scheduling system for UAV operations in indoor environment. Neural Comput Appl 31:5431–5459
Daely PT, Reda HT, Satrya GB et al (2017) Design of smart LED streetlight system for smart city with web-based management system. IEEE Sens J 17(18):6100–6110
Niaros V, Kostakis V, Drechsler W (2017) Making (in) the smart city: the emergence of makerspaces. Telematics Inform 34(7):1143–1152
Sun S, Xu X, Lao Z et al (2017) Evaluating the impact of urban green space and landscape design parameters on thermal comfort in hot summer by numerical simulation. Build Environ 123:277–288
Othman R, Kasim SZA (2016) Assessment of plant materials carbon sequestration rate for horizontal and vertical landscape design. Int J Environ Sci Dev 7(6):410–414
Scognamiglio A, Garde F et al (2016) Photovoltaics’ architectural and landscape design options for net zero energy buildings, towards net zero energy communities: spatial features and outdoor thermal comfort related considerations. Progress Photovolt 24(4):477–495
Safin RR, Ilalova GF, Hasanshin RR (2018) Improving the performance of decking board for use in landscape design. Int J Eng Technol 7(4):1027–1029
Su L, Fu L (2021) Regional land planning based on BPNN and space mining technology. Neural Comput Appl 33:5241–5255
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
There are no potential competing interests in our paper. And all authors have seen the manuscript and approved to submit to your journal. We confirm that the content of the manuscript has not been published or submitted for publication elsewhere.
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
Deng, Y., Xie, L., Xing, C. et al. Digital city landscape planning and design based on spatial information technology. Neural Comput & Applic 34, 9429–9440 (2022). https://doi.org/10.1007/s00521-021-06377-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00521-021-06377-w