Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2024/01/11
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Journal
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Indian UGC (journal)
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Refrences177
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Citations1
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Daniel G. Costa SYSTEC-ARISE, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal ORCID (unauthenticated)
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João Carlos N. Bittencourt CETEC, Federal University of Recôncavo da Bahia, Cruz das Almas 44380-000, BrazilPDEEC, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal ORCID (unauthenticated)
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Franklin Oliveira PPGM-UFBA, Federal University of Bahia, Salvador 40170-110, Brazil ORCID (unauthenticated)
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João Paulo Just Peixoto Federal Institute of Education, Science and Technology of Bahia, Valença 40301-015, BrazilPPGM-UEFS, State University of Feira de Santana, Feira de Santana 44036-900, Brazil ORCID (unauthenticated)
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Thiago C. Jesus DTEC-UEFS, State University of Feira de Santana, Feira de Santana 44036-900, Brazil ORCID (unauthenticated)
Abstract
Cite
Costa, Daniel G., et al. “Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches”. Sustainability, vol. 16, no. 2, 2024, p. 640, https://doi.org/10.3390/su16020640.
Costa, D. G., Bittencourt, J. C. N., Oliveira, F., Peixoto, J. P. J., & Jesus, T. C. (2024). Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches. Sustainability, 16(2), 640. https://doi.org/10.3390/su16020640
Costa, Daniel G., João Carlos N. Bittencourt, Franklin Oliveira, João Paulo Just Peixoto, and Thiago C. Jesus. “Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches”. Sustainability 16, no. 2 (2024): 640. https://doi.org/10.3390/su16020640.
Costa DG, Bittencourt JCN, Oliveira F, Peixoto JPJ, Jesus TC. Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches. Sustainability. 2024;16(2):640.
Journal Categories
Geography
Anthropology
Recreation
Environmental sciences
Science
Biology (General)
Ecology
Technology
Environmental technology
Sanitary engineering
Technology
Mechanical engineering and machinery
Renewable energy sources
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Exploiting geospatial data of connectivity and urban infrastructure for efficient positioning of emergency detection units in smart cities | Computers, Environment and Urban Systems |
| 3 | 2024 |
| Assessing the spatiotemporal impact of users’ exposure and vulnerability to flood risk in urban built environments | Sustainable Cities and Society |
| 4 | 2024 |
| Smart city as a hub for talent and innovative companies: Exploring the (dis) advantages of digital technology implementation in cities | Technological Forecasting and Social Change |
| 13 | 2023 |
| Greening smart cities: An investigation of the integration of urban natural resources and smart city technologies for promoting environmental sustainability | Sustainable Cities and Society |
| 13 | 2023 |
| Urban shrinkage and eco-efficiency: The mediating effects of industry, innovation and land-use | Environmental Impact Assessment Review |
| 26 | 2023 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Privacy as a Lifestyle: Empowering assistive technologies for people with disabilities, challenges and future directions | Journal of King Saud University - Computer and Information Sciences |
| 2024 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Privacy as a Lifestyle: Empowering assistive technologies for people with disabilities, challenges and future directions and was published in 2024. The most recent citation comes from a 2024 study titled Privacy as a Lifestyle: Empowering assistive technologies for people with disabilities, challenges and future directions. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the Journal of King Saud University - Computer and Information Sciences cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.