Percepção dos usuários do Twitter em Curitiba sobre a mobilidade no transporte público
It is in urban areas that more than half of the world population is concentrated. A major challenge for large cities to improve quality of life is related to mobility. Mobility can be considered both for the movement of people, objects and information, in this work it will be approached the human mo...
| Autor principal: | Storrer, Paulo Matheus Peruzzo |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2020
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/9219 |
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| Resumo: |
It is in urban areas that more than half of the world population is concentrated. A major challenge for large cities to improve quality of life is related to mobility. Mobility can be considered both for the movement of people, objects and information, in this work it will be approached the human mobility. When dealing with human mobility in big cities also comes the issue of public transportation, which is the medium that most of the population uses to get around. A city with good public transportation is a city with a good quality of life. How to measure how good a public transport is? From users’s opinions. However, satisfaction surveys (e. g. questionnaires) have a high demand for time and effort. In contrast, social networking users are constantly providing data, which is often not used. From the geolocated Tweets data in Curitiba, a filtering was done in order to obtain relevant information in the mobility issue, especially in public transportation. With the filter data, a sentiment analysis was applied, that in conjunction with a Geographic Information Systems (GIS) made possible to compare data from the work of Kozievitch et al. (2015), which contains information regarding the city of Curitiba, such as on comprehensiveness of bus lines and rush hours. Finally, were raised the pros and cons of using data from the Twitter, the sentiment analysis tool chosen and the graphical layout of the data, as well as proposals for future work. |
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