Progress towards the 2030 Sustainable Development Goals for EU Urban Communities (SDG11)
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- Gustafsson, Björn Anders & Österberg, Torun, 2023. "In and Out of Privileged and Disadvantaged Neighborhoods in Sweden – On the Importance of Country of Birth," IZA Discussion Papers 16044, Institute of Labor Economics (IZA).
- Mathias Basner & Sarah McGuire, 2018. "WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Effects on Sleep," IJERPH, MDPI, vol. 15(3), pages 1-45, March.
- Stefanie Dreger & Steffen Andreas Schüle & Lisa Karla Hilz & Gabriele Bolte, 2019. "Social Inequalities in Environmental Noise Exposure: A Review of Evidence in the WHO European Region," IJERPH, MDPI, vol. 16(6), pages 1-15, March.
- Adam Tyrcha, 2020. "Migration and perceptions of housing availability in Sweden," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 945-975, August.
- Denis Michalina & Peter Mederly & Hans Diefenbacher & Benjamin Held, 2021. "Sustainable Urban Development: A Review of Urban Sustainability Indicator Frameworks," Sustainability, MDPI, vol. 13(16), pages 1-20, August.
- Spyros Makridakis & Evangelos Spiliotis & Vassilios Assimakopoulos, 2018. "Statistical and Machine Learning forecasting methods: Concerns and ways forward," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-26, March.
- Kahouli, Sondès, 2020.
"An economic approach to the study of the relationship between housing hazards and health: The case of residential fuel poverty in France,"
Energy Economics, Elsevier, vol. 85(C).
- Sondès Kahouli, 2020. "An economic approach to the study of the relationship between housing hazards and health: The case of residential fuel poverty in France," Post-Print hal-02467611, HAL.
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- Ewa Roszkowska & Marzena Filipowicz-Chomko & Dorota Górecka & Elżbieta Majewska, 2024. "Sustainable Cities and Communities in EU Member States: A Multi-Criteria Analysis," Sustainability, MDPI, vol. 17(1), pages 1-32, December.
- Magdalena Radulescu & Mihaela Simionescu & Mustafa Tevfik Kartal & Kamel Si Mohammed & Daniel Balsalobre-Lorente, 2025. "The Impact of Human Capital, Natural Resources, and Renewable Energy on Achieving Sustainable Cities and Communities in European Union Countries," Sustainability, MDPI, vol. 17(5), pages 1-22, March.
- Huihua Hu & Hua Shao & Yang Li & Mengfan Guan & Jiaxing Tong, 2025. "GIS-Based Analysis of Elderly Care Facility Distribution and Supply–Demand Coordination in the Yangtze River Delta," Land, MDPI, vol. 14(4), pages 1-24, March.
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