Social smart city: A platform to analyze social streams in smart city initiatives

Souza, Arthur; Figueredo, Mickael; Cacho, Nélio; Araújo, Daniel; Coelho, Jazon; Prolo, Carlos A.

doi:10.1109/isc2.2016.7580848

Cited by 9 publications

(3 citation statements)

References 9 publications

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“…Furthermore, researchers have completed proof-of-concept studies for the method of using NLP, machine learning, and spatial analysis to spot urban crime. In Brazil, Souza et al (2016) trained a classification model by emergency phone call records from the state police department and their model was able to analyze real-time tweets for crime detection. In the US, Helderop et al (2019) were successful in detecting prostitution activities by examining hotel reviews, locations, and prices.…”

Section: Applications Of Nlp In Urban Researchmentioning

confidence: 99%

Natural language processing for urban research: A systematic review

Cai

2021

Heliyon

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Natural language processing (NLP) has shown potential as a promising tool to exploit under-utilized urban data sources. This paper presents a systematic review of urban studies published in peer-reviewed journals and conference proceedings that adopted NLP. The review suggests that the application of NLP in studying cities is still in its infancy. Current applications fell into five areas: urban governance and management, public health, land use and functional zones, mobility, and urban design. NLP demonstrates the advantages of improving the usability of urban big data sources, expanding study scales, and reducing research costs. On the other hand, to take advantage of NLP, urban researchers face challenges of raising good research questions, overcoming data incompleteness, inaccessibility, and non-representativeness, immature NLP techniques, and computational skill requirements. This review is among the first efforts intended to provide an overview of existing applications and challenges for advancing urban research through the adoption of NLP.

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Section: Applications Of Nlp In Urban Researchmentioning

confidence: 99%

Natural language processing for urban research: A systematic review

Cai

2021

Heliyon

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“…Smart cities and more generally smart communities are in part a response to 'wicked problems' resolved by simple or single-faceted solutions. Wicked problems instead require systemic approaches that encompass transportation, education, energy, and social inequities, leveraging human and social capital, while endeavoring to capture the voices of citizens (Marrone & Hammerle, 2018;Souza, et al, 2016;van Waart, et al, 2015). In the era of COVID-19 with its multi-faceted health, economic and social deprivations particularly afflicting people with disabilities as a wicked problem, a 'smart city' or more broadly, an inclusive, smart environment, approach adapted to their situation and needs is desirable.…”

Section: Integrating Stakeholder Voicesmentioning

confidence: 99%

Exploring the Smart Future of Participation

Bricout

Baker

Moon

et al. 2021

International Journal of E-Planning Research

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COVID-19 is having an enormous impact on civic life, including public services, governance, and the well-being of citizens. The pace and scope of technology as a force for problem solving, connecting people, sharing information, and organizing civic life has increased in the wake of COVID-19. This article critically reviews how technology use influences the civic engagement potential of the smart city, in particular for people with disabilities. The article aims to articulate new challenges to virtual participation in civic life in terms of accessibility, usability, and equity. Next, the article proposes a framework for a smart participation future involving smarter communities that utilize universal design, blended bottom-up, and virtual community of practice (VCoP) approaches to planning and connecting citizens with disabilities to smart cities. Policy and ethical implications of the proposed smart participation future are considered.

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“…Paper [20] proposes a framework on how cities can prevent crime occurrences by listening on tweets of Twitter. Additionally, applies the framework to a case study by performing real-time acquisition of crime detection information from social media messages.…”

Section: Smart Citiesmentioning

confidence: 99%

Viral Marketing for Smart Cities: Influencers in Social Network Communities

Kaple

Kulkarni

Potika

2017

2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService)

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Social networks are used by cities primarily for announcing local-area events, but also for increasing engagement of citizens in votes and elections. Given the current plethora of heterogeneous social networks, city administrators can benefit from social networks to promote initiatives, which are important to a current smart city as well use them to discover future needs in order to manage resources more efficiently. Our focus in this paper is how we can adapt commercial and viral marketing techniques to smart city systems to influence the behavior, opinion and choices of citizens in order to improve their well being and that of the whole society as well as predicting future trends and events.

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Social smart city: A platform to analyze social streams in smart city initiatives

Cited by 9 publications

References 9 publications

Natural language processing for urban research: A systematic review

Natural language processing for urban research: A systematic review

Exploring the Smart Future of Participation

Viral Marketing for Smart Cities: Influencers in Social Network Communities

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