The CityMe project aims at creating a framework for mapping, exploring and analyzing official and non-official neighborhoods, regions of interest, districts and other areas that constitute people’s mental map of the city. By harvesting data from our map-based application and social media platforms, we can better understand how citizens spatially reason about administrative and non-administrative regions in the urban landscape, such as parishes, residential areas, informal neighborhoods, historical centers and commercial areas. Through applying state-of-the-art spatial analysis, our framework can be applied to other cities in order to improve and enhance participatory urban planning, citizen-engagement in public policies and projects in smart cities. CityMe is not only restricted to characterizing different types of regions in the city, but it is also committed to contributing to the efforts of making cities more human through citizen-centered, transparent and bottom-up approaches in various applications in the context of urban intelligence.
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May 7, 2024
Costa, Elvira, 2024, "CityMe - dataset with mapped regions", https://doi.org/10.82210/E5LK1Y, Repositório Polen QTY, V1
The main components of the framework include: setting the aggregated textual data from Twitter and place-based sources (Google and OSM); employing the BERTopic transformer-based topic modeling for each source; comparing topics emerged from each source using the cosine similarity metric; carrying out Getis-Ord G∗i hotspot analysis for retrieving sta...
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