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Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches

Author

Listed:
  • Daniel G. Costa

    (SYSTEC-ARISE, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

  • João Carlos N. Bittencourt

    (CETEC, Federal University of Recôncavo da Bahia, Cruz das Almas 44380-000, Brazil
    PDEEC, Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

  • Franklin Oliveira

    (PPGM-UFBA, Federal University of Bahia, Salvador 40170-110, Brazil)

  • João Paulo Just Peixoto

    (Federal Institute of Education, Science and Technology of Bahia, Valença 40301-015, Brazil
    PPGM-UEFS, State University of Feira de Santana, Feira de Santana 44036-900, Brazil)

  • Thiago C. Jesus

    (DTEC-UEFS, State University of Feira de Santana, Feira de Santana 44036-900, Brazil)

Abstract

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.

Suggested Citation

  • Daniel G. Costa & João Carlos N. Bittencourt & Franklin Oliveira & João Paulo Just Peixoto & Thiago C. Jesus, 2024. "Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches," Sustainability, MDPI, vol. 16(2), pages 1-30, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:640-:d:1317196
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    References listed on IDEAS

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    1. Vishal Chettry & Meenal Surawar, 2021. "Assessment of urban sprawl characteristics in Indian cities using remote sensing: case studies of Patna, Ranchi, and Srinagar," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11913-11935, August.
    2. Kinga Szopińska & Agnieszka Cienciała & Agnieszka Bieda & Janusz Kwiecień & Łukasz Kulesza & Piotr Parzych, 2022. "Verification of the Perception of the Local Community concerning Air Quality Using ADMS-Roads Modeling," IJERPH, MDPI, vol. 19(17), pages 1-28, September.
    3. Nguyen, Huong Thu & Marques, Pilar & Benneworth, Paul, 2022. "Living labs: Challenging and changing the smart city power relations?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    4. Marchesani, Filippo & Masciarelli, Francesca & Bikfalvi, Andrea, 2023. "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, Elsevier, vol. 193(C).
    5. Richter, Maximilian A. & Hagenmaier, Markus & Bandte, Oliver & Parida, Vinit & Wincent, Joakim, 2022. "Smart cities, urban mobility and autonomous vehicles: How different cities needs different sustainable investment strategies," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    6. Aiping Wang & Weifen Lin & Bei Liu & Hui Wang & Hong Xu, 2021. "Does Smart City Construction Improve the Green Utilization Efficiency of Urban Land?," Land, MDPI, vol. 10(6), pages 1-18, June.
    7. Zaheer Allam & Ayyoob Sharifi & Simon Elias Bibri & David Sydney Jones & John Krogstie, 2022. "The Metaverse as a Virtual Form of Smart Cities: Opportunities and Challenges for Environmental, Economic, and Social Sustainability in Urban Futures," Post-Print hal-03997438, HAL.
    8. Ibrahim Abaker Targio Hashem & Raja Sher Afgun Usmani & Mubarak S. Almutairi & Ashraf Osman Ibrahim & Abubakar Zakari & Faiz Alotaibi & Saadat Mehmood Alhashmi & Haruna Chiroma, 2023. "Urban Computing for Sustainable Smart Cities: Recent Advances, Taxonomy, and Open Research Challenges," Sustainability, MDPI, vol. 15(5), pages 1-32, February.
    9. Vítor de Castro Paes & Clinton Hudson Moreira Pessoa & Rodrigo Pereira Pagliusi & Carlos Eduardo Barbosa & Matheus Argôlo & Yuri Oliveira de Lima & Herbert Salazar & Alan Lyra & Jano Moreira de Souza, 2023. "Analyzing the Challenges for Future Smart and Sustainable Cities," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    10. Zhengrong Liu & Jianping Wu, 2023. "A Review of the Theory and Practice of Smart City Construction in China," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
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    1. Ibrahim Mutambik, 2024. "Assessing Urban Vulnerability to Emergencies: A Spatiotemporal Approach Using K-Means Clustering," Land, MDPI, vol. 13(11), pages 1-22, October.

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