A framework for designing user-centered data visualizations in smart city technologies
Teresa Cepero,
Luis G. Montané-Jiménez and
Gina Paola Maestre-Góngora
Technological Forecasting and Social Change, 2025, vol. 210, issue C
Abstract:
Smart city technologies help to manage shared urban resources like road space, energy, water, and food more efficiently. With the vast amount of data these technologies generate, data visualization has become a crucial component for presenting critical information in a clear and condensed manner. However, designing data visualizations can be a challenging task, it requires applying data visualization guidelines for effective visual codification and user-centered design guidelines to design usable dashboards. The aim of this paper is to draw a comprehensive vision of the data visualization design process in smart city systems by integrating guidelines of data visualization and user-centered design into a framework. This paper presents a novel user-centered data visualization framework for smart city technologies. The framework offers a structured approach to understanding the intricacies of visualization design processes and guides the development from a user-centered perspective. It integrates activities, techniques, instruments, and guidelines for developing user-centered visualizations in smart city technologies. The proposed framework’s content was validated through expert judgment and tested in a case study for the development of the Xalapa Commerce, Services, and Tourism Dashboard.
Keywords: Visualization; Dashboard; User-centered design; Smart city; Urban data; Framework (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S004016252400653X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:210:y:2025:i:c:s004016252400653x
DOI: 10.1016/j.techfore.2024.123855
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().