My City, My Voice

Sinha, Manjira; Guha, Satarupa; Varma, Preethy; Mukherjee, Tridib; Mannarswamy, Sandya

doi:10.1145/3297001.3297008

Cited by 2 publications

(2 citation statements)

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“…In their study, they analyzed a sizable dataset comprising 2,634,176 tweets originating from Bogotá's citizens over a period of six months. With the growing number of well-informed citizens actively engaged in urban development, Sinha et al [27] introduced a system called CUrb. This system is designed to autonomously detect, analyze, and monitor diverse urban-related concerns expressed on social media.…”

Section: Related Workmentioning

confidence: 99%

“…This has led to a rapid generation of substantial amounts of big data [33], prompting a transformative shift in the urban civic management of cities. This shift entails a movement from traditional top-down hierarchical city planning and civic management, driven by governmental agencies, to a more participatory approach supported by citizen engagement in urban planning and civic management efforts [27]. Analyzing how people perceive urban spaces is crucial for all stakeholders involved in city development, including policymakers, local organizations, and urban designers [31], to deliver to citizens novel or improved services [34].…”

Section: Social Mediamentioning

confidence: 99%

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Investigating the Key Aspects of a Smart City through Topic Modeling and Thematic Analysis

Kousis,

Tjortjis

2023

Future Internet

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In recent years, the emergence of the smart city concept has garnered attention as a promising innovation aimed at addressing the multifactorial challenges arising from the concurrent trends of urban population growth and the climate crisis. In this study, we delve into the multifaceted dimensions of the smart city paradigm to unveil its underlying structure, employing a combination of quantitative and qualitative techniques. To achieve this, we collected textual data from three sources: scientific publication abstracts, news blog posts, and social media entries. For the analysis of this textual data, we introduce an innovative semi-automated methodology that integrates topic modeling and thematic analysis. Our findings highlight the intricate nature of the smart city domain, which necessitates examination from three perspectives: applications, technology, and socio-economic perspective. Through our analysis, we identified ten distinct aspects of the smart city paradigm, encompassing mobility, energy, infrastructure, environment, IoT, data, business, planning and administration, security, and people. When comparing the outcomes across the three diverse datasets, we noted a relative lack of attention within the scientific community towards certain aspects, notably in the realm of business, as well as themes relevant to citizens’ everyday lives, such as food, shopping, and green spaces. This work reveals the underlying thematic structure of the smart city concept to help researchers, practitioners, and public administrators participate effectively in smart city transformation initiatives. Furthermore, it introduces a novel data-driven method for conducting thematic analysis on large text datasets.

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Section: Related Workmentioning

confidence: 99%