Emotional maps based on social networks data to analyze cities emotional structure and measure their emotional similarity

Ashkezari-Toussi, Soheila; Kamel, Mohammad; Sadoghi-Yazdi, Hadi

doi:10.1016/j.cities.2018.09.009

Cited by 42 publications

(22 citation statements)

References 27 publications

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“…grass (hard, soft, wet, dry) Bartlett et al [ 93 ], Crowther et al [ 94 ] Racetrack penetrometer Clegg-Hammer Magnetic layer detection Magnetic layer detection to measure top soil density [ 95 ] Task Pitch dimensions, i.e. area, depth of pockets Klusemann et al [ 70 ], Kelly and Drust [ 96 ] Environment Weather (rainfall, wind, sun position) Thornes [ 97 ], Ely et al [ 98 ] Wireless sensor network Weather impact on air traffic management [ 99 ] Environment Venue—crowd, stadium type (roof, open), distance travelled, noise Gama et al [ 100 ], Goldman and Rao [ 90 ] Computer vision to monitor crowd emotion Emotion tracking for city planning [ 101 ] Task Time: elapsed/remaining in - Period - Game Pettigrew [ 102 ], Sandholtz and Bornn [ 103 ] Automation through computational timing Task Time elapsed since last - Foul - Stoppage - Turnover - Score Andrienko et al [ 104 ], Skinner [ 51 ] Automation through computational timing Task Team synergy Araújo and Davids [ 105 ], Araújo et al [ 106 ] Ball and player tracking aligned with match log Facial expression extraction Emotion tracking for city planning [ 101 ] …”

Section: Technologymentioning

confidence: 99%

Methodological Considerations for Furthering the Understanding of Constraints in Applied Sports

et al. 2021

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Commonly classified as individual, task or environmental, constraints are boundaries which shape the emergence of functional movement solutions. In applied sport, an ongoing challenge is to improve the measurement, analysis and understanding of constraints to key stakeholders. Methodological considerations for furthering these pursuits should be centred around an interdisciplinary approach. This integration of methodology and knowledge from different disciplines also encourages the sharing of encompassing principles, concepts, methods and data to generate new solutions to existing problems. This narrative review discusses how a number of rapidly developing fields are positioned to help guide, support and progress an understanding of sport through constraints. It specifically focuses on examples from the fields of technology, analytics and perceptual science. It discusses how technology is generating large quantities of data which can improve our understanding of how constraints shape the movement solutions of performers in training and competition environments. Analytics can facilitate new insights from numerous and complex data through enhanced non-linear and multivariate analysis techniques. The role of the perceptual sciences is discussed with respect to generating outputs from analytics that are more interpretable for the end-user. Together, these three fields of technology, analytics and perceptual science may enable a more comprehensive understanding of constraints in sports performance.

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Section: Technologymentioning

confidence: 99%

Methodological Considerations for Furthering the Understanding of Constraints in Applied Sports

et al. 2021

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“…Other studies focus on the representation and visualization of geolocalized data from social networks (Wu et al, 2017) and how these visualizations allow researchers to explore various relationships between citizens' movement patterns, activity distribution and points of interest in a city (Zeng et al, 2017). In addition, some studies focus on the analysis of urban emotions (Resch et al, 2015; Resch et al, 2016; Ashkezari‐Toussi et al, 2019). Thus, it can be seen how technology plays an important role in offering solutions that essentially promote citizen participation (Moreno‐Ibarra & Torres‐Ruiz, 2019).…”

Section: A Brief Overview Of Previous Related Workmentioning

confidence: 99%

Addressing new challenges in smart urban planning using Information and Communication Technologies

et al. 2021

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Cities today face the challenge of achieving more participatory and inclusive urban planning. Information and Communication Technologies make it possible to have access to information on the preferences and real uses that citizens make of urban public space; activities that are not always those foreseen in the original planning of cities. This knowledge provides a new understanding of urban capabilities and opportunities that enables planning closer to citizens' needs and designing cities more intelligently and effectively. Thus, a new, more social urbanism, where the citizen is a participant and not a mere observer, is possible with the help of technology. This work studies the potential of geolocated data generated by citizens and retrieved from social networks of sport, which analysis has been possible with the support of the measurement and visualization tools offered by geographic information systems accessible online, open access cartography available on the Internet, among other resources.

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“…Tourists tend to take more photos of famous landmarks and downtown areas than residents, who are more interested in cultural and recreational attractions (D. Li et al, 2018). Due to the pervasiveness, breadth, and popularity of the platform, much recent research has used Flickr photos for various purposes, such as assessing people's emotions in a city (Ashkezari-Toussi, Kamel, & Sadoghi-Yazdi, 2019), classifying events in a city (Van Canneyt, Schockaert, & Dhoedt, 2016), comparing DI among tourists (Deng et al, 2019), identifying the DI (Galí & Donaire, 2015), and detecting tourist activities (Nechita, Demeter, Briciu, Varelas, & Kavoura, 2019).…”

Section: Photo Retrievalmentioning

confidence: 99%

Traveller‐generated destination image: Analysing Flickr photos of 193 countries worldwide

Taecharungroj

Mathayomchan²

2020

Journal of Tourism Research

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The purpose of this research is to introduce a method that utilises a combination of Google Cloud Vision AI's label detection and a topic-modelling algorithm, latent Dirichlet allocation, to identify common destination images and to compare destinations worldwide. The study analyses 283,912 photos of 193 countries from Flickr. com, and 16 cognitive image attributes (CIAs) are identified. Subsequent hotspot analyses indicate the exact locations of these CIAs in three sample countries: France, the US, and Thailand. Destination marketing organisations (DMOs) can use this method to more effectively analyse and promote destinations during and after the COVID-19 pandemic.

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Emotional maps based on social networks data to analyze cities emotional structure and measure their emotional similarity

Cited by 42 publications

References 27 publications

Methodological Considerations for Furthering the Understanding of Constraints in Applied Sports

Methodological Considerations for Furthering the Understanding of Constraints in Applied Sports

Addressing new challenges in smart urban planning using Information and Communication Technologies

Traveller‐generated destination image: Analysing Flickr photos of 193 countries worldwide

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