Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches

被引:18
|
作者
Costa, Daniel G. [1 ]
Bittencourt, Joao Carlos N. [2 ,3 ]
Oliveira, Franklin [4 ]
Peixoto, Joao Paulo Just [5 ,6 ]
Jesus, Thiago C. [7 ]
机构
[1] Univ Porto, Fac Engn, SYSTEC ARISE, P-4200465 Porto, Portugal
[2] Univ Fed Reconcavo Bahia, CETEC, BR-44380000 Cruz Das Almas, Brazil
[3] Univ Porto, Fac Engn, PDEEC, P-4200465 Porto, Portugal
[4] Univ Fed Bahia, PPGM UFBA, BR-40170110 Salvador, BA, Brazil
[5] Fed Inst Educ Sci & Technol Bahia, BR-40301015 Valenca, Brazil
[6] State Univ Feira de Santana, PPGM UEFS, BR-44036900 Feira De Santana, Brazil
[7] State Univ Feira de Santana, DTEC UEFS, BR-44036900 Feira De Santana, Brazil
关键词
urban planning; data mining; OpenStreetMap; GIS; dataset; data science; REMOTE-SENSING APPROACH; MANAGEMENT; CITY; TRENDS; MODEL;
D O I
10.3390/su16020640
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, the concept of smart cities has become increasingly important in the pursuit of sustainable development goals. In general, common urban challenges have been addressed through smart-city services, and new perspectives for more sustainable cities have emerged. To realize the full potential of such smart urban environments, geospatial approaches have been used as a focal point, offering a plethora of applications that contribute to a better understanding of urban challenges and innovation potentials. Nevertheless, although significant progress has been made, different problems may arise when the available technologies and resources are not understood or even when their potentialities are not properly capitalized. This article reviews the state of the art in the field, highlighting success cases and remaining challenges in exploiting geospatial data-driven strategies, particularly when leveraging geographic information systems, satellites, and distributed sensors to produce and process geospatial data and datasets in urban scenarios. Moreover, a more organized perspective of the area is provided in this article, as well as future development trends, supporting new research efforts in this area when empowering smart cities for a more sustainable future.
引用
收藏
页数:30
相关论文
共 50 条
  • [31] Towards Sustainable Smart Society: Big Data Driven Approaches
    Han, Liangxiu
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND DISTRIBUTED SYSTEMS (ICFNDS '17), 2017,
  • [32] How Could Smart Cities Use Data? - Towards a Taxonomy of Data-Driven Smart City Projects
    Kuehne, Babett
    Heidel, Kai
    INNOVATION THROUGH INFORMATION SYSTEMS, VOL I: A COLLECTION OF LATEST RESEARCH ON DOMAIN ISSUES, 2021, 46 : 351 - 366
  • [33] Pipeline Integrity Analysis through Data-Driven Approaches
    Duan, Junyi
    Tao, Chengcheng
    Huang, Ying
    CONSTRUCTION RESEARCH CONGRESS 2024: ADVANCED TECHNOLOGIES, AUTOMATION, AND COMPUTER APPLICATIONS IN CONSTRUCTION, 2024, : 33 - 40
  • [34] UNDERSTANDING PHOTOGRAPHIC COMPOSITION THROUGH DATA-DRIVEN APPROACHES
    Mao, Dansheng
    Kakarala, Ramakrishna
    Rajan, Deepu
    Castleman, Shannon Lee
    VISAPP 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 2, 2010, : 425 - 430
  • [35] Environmentally data-driven smart sustainable cities: applied innovative solutions for energy efficiency, pollution reduction, and urban metabolism
    Bibri S.E.
    Krogstie J.
    Energy Informatics, 2020, 3 (01)
  • [36] Data-driven smart sustainable cities of the future: An evidence synthesis approach to a comprehensive state-of-the-art literature review
    Bibri, Simon Elias
    SUSTAINABLE FUTURES, 2021, 3
  • [37] Gap filling crowdsourced air temperature data in cities using data-driven approaches
    He, Miao
    Luo, Zhiwen
    Xie, Xiaoxiong
    Wang, Peng
    Wang, Haichao
    Zapata-Lancaster, Gabriela
    BUILDING AND ENVIRONMENT, 2025, 271
  • [38] A Survey on Multimodal Data-Driven Smart Healthcare Systems: Approaches and Applications
    Cai, Qiong
    Wang, Hao
    Li, Zhenmin
    Liu, Xiao
    IEEE ACCESS, 2019, 7 : 133583 - 133599
  • [39] A model for the analysis of data-driven innovation and value generation in smart cities' ecosystems
    Abella, Alberto
    Ortiz-De-Urbina-Criado, Marta
    De-Pablos-Heredero, Carmen
    CITIES, 2017, 64 : 47 - 53
  • [40] A Data-driven Approach for Spatio-Temporal Crime Predictions in Smart Cities
    Catlett, Charlie
    Cesario, Eugenio
    Talia, Domenico
    Vinci, Andrea
    2018 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP 2018), 2018, : 17 - 24