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
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