Leveraging Geoinformatics: Shaping Smart Cities of Tomorrow
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50848-6_22
Reference6 articles.
1. Anjum R, Ali SA, Siddiqui MA (2023) Assessing the impact of land cover on groundwater quality in a smart city using GIS and machine learning algorithms. Water Air Soil Pollut 234(3). https://doi.org/10.1007/s11270-023-06198-8
2. Huang Y, Peng H, Wen L, Xing T (2023) Using digital technologies to plan and manage the pipelines network in city. IET Smart Cities 5(2):95–110. https://doi.org/10.1049/smc2.12054
3. Lyu HM, Yin ZY, Zhou A, Shen SL (2023) MCDM-based flood risk assessment of metro systems in smart city development: a review. Environ Impact Assess Rev 101. https://doi.org/10.1016/j.eiar.2023.107154
4. Santos AS, Faccini LG, Goncales I, Marte CL, Cintra JP (2023) A practical approach for high-resolution air quality mapping using IoT mobile devices. Int J Environ Sci Technol 20(8):8373–8390. https://doi.org/10.1007/s13762-022-04513-0
5. Supangkat SH, Ragajaya R, Setyadji AB (2023) Implementation of digital geotwin-based mobile crowdsensing to support monitoring system in smart city. Sustainability (Switzerland) 15(5). https://doi.org/10.3390/su15053942
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