Challenges and Lessons from a Map-Based Survey
DOI:
https://doi.org/10.36942/dialogossocioambientais.v8i24.1462Keywords:
Urban mobility, data cleaning, social inequality, COVID-19Abstract
This text presents challenges and strategies from a map-based survey conducted in São Paulo, Cape Town and Dortmund, within the ICOLMA project. Using the Maptionnaire platform, we collected geospatial data on how the COVID-19 pandemic impacted mobility and access for marginalized groups. The study highlights issues with cost, data quality and connectivity. We also show how group discussions helped create a more welcoming environment for sharing sensitive information.
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KYTTÄ, M.; FAGERHOLM, N.; HAUSNER, V. H.; BROBERG, A. Maptionnaire. In: BURNETT, C. M. (org.). Evaluating participatory mapping software. Cham: Springer, 2023. DOI: https://doi.org/10.1007/978-3-031-19594-5_4
R CORE TEAM. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, 2024. Available from: https://www.R-project.org/
VELLA, L. U.; MOMM, S.; BEZERRA SILVA, A.; FISCHER, L. N. C.; MACHADO, G. A. Pressupostos e estratégias utilizados no projeto ICOLMA sobre o impacto da pandemia na mobilidade e modos de vida da cidade de São Paulo: uma perspectiva feminista de pesquisa. In: ENCONTRO NACIONAL DA ASSOCIAÇÃO NACIONAL DE PÓS-GRADUAÇÃO E PESQUISA EM PLANEJAMENTO URBANO E REGIONAL, XXI., 2025, Curitiba. Anais [...]. Campina Grande: Realize Editora, 2025. Available from: https://editorarealize.com.br/artigo/visualizar/122565. Access in: 21 ago. 2025.
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