#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data

Kovács-Györi, Anna; Ristea, Alina; Havas, Clemens; Resch, Bernd; Cabrera-Barona, Pablo

doi:10.17645/up.v3i1.1287

Cited by 38 publications

(29 citation statements)

References 38 publications

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“…widely spread over other areas of the city. A similar outcome was obtained by Kovacs-Gyori, A. et al [69] when analyzing the London 2012 Olympic Games. Our main contribution in relation to this study is that we include an ampler period of analysis, in order to identify spatial patterns in the daily distribution of users and to analyze changes in the periods before, during the Games, and after them.…”

Section: Discussionsupporting

confidence: 85%

The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data

Condeço-Melhorado¹,

Sanz²,

Moya-Gómez³

et al. 2020

Preprint

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Olympic Games have a huge impact on the cities where they are held, both during the actual celebration of the event and before and after it. This study presents a new approach based on spatial analysis, GIS, and data coming from Location Based Social Networks to model the spatiotemporal dimension of impacts associated with the Rio 2016 Olympic Games. Geolocalized data from Twitter are used to analyze the activity pattern of users from two different viewpoints. The first monitors the activity of Twitter users during the event -the arrival of visitors, where they came from, and the use resident and tourist made of different areas of the city. The second assesses the spatiotemporal use of the city by Twitter users before the event, compared to the use during and after the event. The results not only reveal which spaces were the most used while the Games were being held but also changes in the urban dynamics after the Games. Both approaches can be used to assess the impacts of mega-events and to improve the management and allocation of urban resources such as transport and public services infrastructure.

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Section: Discussionsupporting

confidence: 85%

The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data

Condeço-Melhorado¹,

Sanz²,

Moya-Gómez³

et al. 2020

Preprint

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“…Combined with other sources of data, such as mobile phone data, spatiotemporal characteristics of the urban environment can be described even more accurately [71]. Due to their fine spatial and temporal scale, another great potential of social media data is the detection [72] and analysis of events [73][74][75][76][77], or disasters [78,79], and their effect on daily urban planning routines [80].…”

Section: The Importance Of Urban Green Areas and Ways To Analyze Theimentioning

confidence: 99%

Beyond Spatial Proximity—Classifying Parks and Their Visitors in London Based on Spatiotemporal and Sentiment Analysis of Twitter Data

Kovács-Györi

Ristea

Kolcsár

et al. 2018

IJGI

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Parks are essential public places and play a central role in urban livability. However, traditional methods of investigating their attractiveness, such as questionnaires and in situ observations, are usually time- and resource-consuming, while providing less transferable and only site-specific results. This paper presents an improved methodology of using social media (Twitter) data to extract spatial and temporal patterns of park visits for urban planning purposes, along with the sentiment of the tweets, focusing on frequent Twitter users. We analyzed the spatiotemporal park visiting behavior of more than 4000 users for almost 1700 parks, examining 78,000 tweets in London, UK. The novelty of the research is in the combination of spatial and temporal aspects of Twitter data analysis, applying sentiment and emotion extraction for park visits throughout the whole city. This transferable methodology thereby overcomes many of the limitations of traditional research methods. This study concluded that people tweeted mostly in parks 3–4 km away from their center of activity and they were more positive than elsewhere while doing so. In our analysis, we identified four types of parks based on their visitors’ spatial behavioral characteristics, the sentiment of the tweets, and the temporal distribution of the users, serving as input for further urban planning-related investigations.

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“…Other popular social networks, such as Twitter, offer useful geo-referenced information to work with locational 'senses of place' in the urban context. For instance, an analysis using Twitter data has been applied to identify urban planning-related spatial patterns of positive and negative sentiments of London's residents and visitors regarding the organization of the Olympic Games [60]. The uncertain conceptual spaces approach integrated in our geo-social definition may be useful to visualize the connections of the properties in the physical space (locations) to properties in conceptual space (sense of place) as a means to studying the smartness of the city.…”

Section: The Meaning Of Smart City In the Conceptual Urban Quality Spmentioning

confidence: 99%

A Conceptual Urban Quality Space-Place Framework: Linking Geo-Information and Quality of Life

Cabrera-Barona

Merschdorf

2018

Urban Science

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Space and place are key concepts for understanding the functionality of social and environmental interactions. Cities are complex social-ecological systems where space-place interactions can be interpreted by means of quality of life. Firstly, we present several quality-of-life concepts that can be linked to space and place concepts. Secondly, we develop an analysis about space and place interactions, and how the social aspects, such as the sense of place, and physical aspects, such as urban spaces, are associated with quality of life and inclusive places. Thirdly, we state how the quality of life definitions of livability and life-ability are linked to the space and place concepts, and how this link can support the understanding of quality of life in cities, considering spatial thinking. Fourthly, we expand geo-information theories to a space-place approach of urban quality of life. Finally, we discuss how the developed conceptual framework can be applied to interpret the smart city. This paper contributes to the construction of new epistemologies that could support a more holistic understanding of the cities and a more social and humanistic use of geo-information and technology.

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#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data

Cited by 38 publications

References 38 publications

The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data

The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data

Beyond Spatial Proximity—Classifying Parks and Their Visitors in London Based on Spatiotemporal and Sentiment Analysis of Twitter Data

A Conceptual Urban Quality Space-Place Framework: Linking Geo-Information and Quality of Life

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