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CityMe - Mapping Regions in the City from Citizens´ Perceptions

Topo Projetos

About the Project

CityMe

Mapping Regions in the City from Citizens Perceptions

City dwellers communicate and reason about their surrounding urban settings in the form of places and regions. Within the city, these regions are distinguished by their vernacular or official names, descriptions, spatial extents and features related to their functionalities, purposes, intentions and perceptions. Nonetheless, the formal names and the geographical coverage of official administrative areas and well-established function-semantic regions (e.g., financial districts, residential areas) are oftentimes inconsistent with citizens’ general perceptual consensos. This incongruence induces operational issues in urban planning, mostly because city partitioning strategies might be incompatible with overall citizens’ judgment of the spatial distribution as well as the toponyms of neighborhoods, districts and areas of interest.

This project contributes for SDG 11 - Make cities and human settlements inclusive, safe, resilient and sustainable.

Impact:

The project outputs will bring academia closer to society due to the participatory nature of the survey and the communication activities, ultimately bringing awareness and engagement about the interface between cities, people and technologies in the context of smart cities. In addition, the results will also be of great value for decision-makers, stakeholders and planners, both in the public and the private spheres.

Contribution to the SDGs

  • SDG 11 Sustainable Cities And Communities

Funding

Website: https://cityme.novaims.unl.pt/

Ref./Contract n.:EXPL/GES-URB/1429/2021

Funding Programme: Fundação para a Ciência e a Tecnologia - Exploratory Project 2021

Funding to NOVA IMS: 49 619,41€

Duration: 17/11/2022 - 16/07/2023

Project outputs

  • "Content-location relationships: a framework to explore correlations between space-based and place-based user-generated content"

    Tang, V., & Painho, M. (2023)

    Content-location relationships: a framework to explore correlations between space-based and place-based user-generated content. International Journal Of Geographical Information Science, 1-32. https://doi.org/10.1080/13658816.2023.2213869.

  • "Mapping a historic neighbourhood through user-generated content: the case of Alfama, Lisbon (Portugal)"

    Tang, V., Puri, J., & Painho, M. (2022)

    Mapping a historic neighbourhood through user-generated content: the case of Alfama, Lisbon (Portugal). In E. Parseliunas, A. Mansourian, P. Partsinevelos, & J. Suziedelyte-Visockiene (Eds.), Proceedings of the 25th AGILE Conference on Geographic Information Science, 2022 (Vol. 3, pp. 1-8). (AGILE: GIScience Series; Vol. 63). (AGILE 2022 - 25th AGILE Conference on Geographic Information Science, 2022, "Artificial Intelligence in the service of Geospatial Technologies", 14-17 June, Vilnius, Lithuania). https://doi.org/10.5194/agile-giss-3-63-2022

  • "Exploring the relationships between perceived neighborhood boundaries and street network orientation"

    Tang, V., & Painho, M. (2023)

    Exploring the relationships between perceived neighborhood boundaries and street network orientation. Transactions in GIS, 27(3), 877-899. https://doi.org/10.1111/tgis.13058