Departament: Geografia
DOI: 10.34810/data2208
Published by (editorial): Universitat Rovira i Virgili (URV)
Language: ca
Document type: info:eu-repo/semantics/other
Related publications: Gheitasi, M., Albert, Y. P., & i Giné, D. S. (2024). Assessing technological risk and landscape perception in tehran oil refinery: A PPGIS study. In Second International Future Challenges in Sustainable UrbanPlanning & Territorial Management: Proceedings of the SUPTM 2024 conference (pp. 215-218). Universidad Politécnica de Cartagena. url https://dialnet.unirioja.es/servlet/articulo?codigo=9841143 https://dialnet.unirioja.es/servlet/articulo?codigo=9841143
Author: Gheitasi Mahdi
Keywords: Risk https://id.loc.gov/resources/works/11537032.html Landscape https://id.loc.gov/resources/works/13252053.html GIS https://id.loc.gov/resources/works/19781983.html Health https://id.loc.gov/resources/works/677429.html
Summary in other languages: The dataset includes data collected through a Public Participation Geographic Information System (PPGIS) survey conducted between February and April 2024. The Excel file contains 4 excel files: 1. Full PPGIS survey responses 2. Participant locations 3. Risk source locations 4. Locations of areas affected by petrochemical clusters Additionally, the dataset includes geotagged images related to the landscape perception data, corresponding to specific survey points. Shapefiles (SHP) are also provided, covering the following geographic layers: 1. Territorial boundaries 2. Risk source points 3. Participant locations 4. Affected area points 5. Petrochemical cluster polygons
Dataset publication year: 2025
Funding program action: Spanish Ministry of Science, Innovation and Universities: PRE-2021-098679 Spanish Ministry of Science, Innovation and Universities: PID2020-114363GB-I00
Dataset title: Risk, landscape and health perceptions in Teheran
Repositori URV