Interactive Data Exploration for Smart City Analytics: A User-Centered Perspective

Large urban areas generate vast amounts of data that pose challenges inaccessibility and understanding. To address these challenges, our study introduces an innovative framework for Interactive Data Exploration within Smart City Analytics, centering around user needs and ex- periences. By leveraging intuitive visualization techniques, we allow users to dynamically en- gage with urban data, facilitating better comprehension and interaction. The framework incorporates user feedback to refine the exploratory experience, thereby enhancing accessibility and usability. We conducted user studies to evaluate its effectiveness, which demonstrated marked improvements in user satisfaction and understanding when compared to conventional static visualizations. The approach not only enriches users’ grasp of smart city dynamics but also fosters community engagement in urban planning initiatives. Our results underscore the crucial role of user-centered design in transforming complex data into accessible insights for stakeholders involved in urban development.

Authors

Publication Details

Journal
Advances in Engineering Technology Research
Published
2025-04-03
DOI
https://doi.org/10.56028/aetr.13.1.702.2025
Citations
1
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
2.18
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article

Interactive Data Exploration for Smart City Analytics: A User-Centered Perspective

Lucas Evans, Xiang Li, Xinyi Zhang
1 citations
Advances in Engineering Technology Research
Human Mobility and Location-Based Analysis
2.18
article

Interactive Data Exploration for Smart City Analytics: A User-Centered Perspective

Lucas Evans, Xiang Li, Xinyi Zhang
article en
1 citations

Abstract

Large urban areas generate vast amounts of data that pose challenges inaccessibility and understanding. To address these challenges, our study introduces an innovative framework for Interactive Data Exploration within Smart City Analytics, centering around user needs and ex- periences. By leveraging intuitive visualization techniques, we allow users to dynamically en- gage with urban data, facilitating better comprehension and interaction. The framework incorporates user feedback to refine the exploratory experience, thereby enhancing accessibility and usability. We conducted user studies to evaluate its effectiveness, which demonstrated marked improvements in user satisfaction and understanding when compared to conventional static visualizations. The approach not only enriches users’ grasp of smart city dynamics but also fosters community engagement in urban planning initiatives. Our results underscore the crucial role of user-centered design in transforming complex data into accessible insights for stakeholders involved in urban development.

Advances in Engineering Technology ResearchVol. 13(1)
Openalex Percentile: Top 15%
Human Mobility and Location-Based Analysis
2.18
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