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Identification of threats affecting the risk of urban regeneration of post-industrial areas
DOI:
https://doi.org/10.24425/ace.2025.153337Abstract
One of the main problems of highly urbanized areas is progressively degrading land. This process is mainly caused by the closure of enterprises that have failed to adapt to the realities of the economy and the lack of investment. Post-industrial areas are usually large, diverse, and polluted complexes that may have historical and locational value. Currently, there is a growing interest among European city authorities in this type of land, which can be revitalized to create, i.e., leisure and recreation areas. The need to preserve cultural values, while adapting the space to the new reality, requires verification of risk factors affecting the urban regeneration process. In this article, the authors attempt to create a ranking of the risk factors of post-industrial area urban regeneration. A statistical analysis was conducted preceded by the collection of data in the form of assessments of the probability and severity of the identified urban regeneration risk factors. This ranking was created to identify the key factors for urban regeneration risk estimation. The analysis conducted revealed that the most significant urban regeneration risk factors are related to, i.e., poor technical condition of buildings and structures, environmental degradation, as well as logistical problems.References
[1] L. Salvati and G. R. Lamonica, “Containing urban expansion: Densification vs greenfield development, sociodemographic transformations and the economic crisis in a Southern European City, 2006-2015”, Ecological Indicators, vol. 110, 2020, doi: 10.1016/j.ecolind.2019.105923.
[2] D. Hou, A. Al-Tabbaa, D. O’Connor, Q. Hu, Y.G. Zhu, L. Wang, N. Kirkwood, Y.S. Ok, D.T.W. Tsang, N.S. Bolan, and J. Rinklebe, “Sustainable remediation and redevelopment of brownfield sites”, Nature Reviews Earth & Environment, vol. 4, no. 4, pp. 271-286, 2023, doi: 10.1038/s43017-023-00404-1.
[3] E. Radziszewska-Zielina, D. Adamkiewicz, B. Szewczyk, and O. Kania, “Decision-Making Support for Housing Projects in Post-Industrial Areas”, Sustainability, vol. 14, no. 6, 2022, doi: 10.3390/su14063573.
[4] C. Agaliotou, “Reutilization of Industrial Buildings and Sites in Greece Can Act as a Lever for the Development of Special Interest/Alternative Tourism”, Procedia - Social and Behavioral Sciences, vol. 175, pp. 291-298, 2015, doi: 10.1016/j.sbspro.2015.01.1203.
[5] S. Martinat, J. Navratil, J.B. Hollander, J. Trojan, P. Klapka, P. Klusacek, and D. Kalok, “Re-reuse of regenerated brownfields: Lessons from an Eastern European post-industrial city”, Journal of Cleaner Production, vol. 188, pp. 536-545, 2018, doi: 10.1016/j.jclepro.2018.03.313.
[6] M.T. Dmitruk, “Analysis of the Objectives and the Level of Implementation of the Spatial Development Plan of the Central Coal Region – the Lublin Coal Basin (CRW-LZW)”, Archives of Mining Sciences, vol. 66, no. 4, pp. 543-560, 2021, doi: 10.24425/ams.2021.139596.
[7] K. Tureckova, S. Martinat, J. Skrabal, P. Chmielova, and J. Nevima, “How local Population Perceive Impact of Brownfields on the Residential Property Values: Some Remarks from Post-Industrial Areas in the Czech Republic”, Geographia Technica, vol. 12, no. 2, pp. 150-164, 2017, doi: 10.21163/GT_2017.122.13.
[8] M. Burinskienė, V. Bielinskas, A. Podviezko, V. Gurskienė, and V. Maliene, “Evaluating the Significance of Criteria Contributing to Decision-Making on Brownfield Land Redevelopment Strategies in Urban Areas”, Sustainability, vol. 9, no. 5, 2017, doi: 10.3390/su9050759.
[9] K. Lenartowicz and A. Ostręga, “Revitalisation of post-industrial areas through the preservation of technical heritage in Poland”, AGH Journal of Mining and Geoengineering, vol. 36, no. 2, pp. 181-192, 2012.
[10] A. Ostręga and M. Cała, “Assessing the Value of Landscape Shaped by the Mining Industry – A Case Study of the Town of Rydułtowy, Poland”, Archives of Mining Sciences, vol. 65, no. 1, pp. 3-18, 2020, doi: 10.24425/ams.2020.132702.
[11] A. Sobotka and A. Radziejowska, “Risk analysis in the realization of buildings in revitalized areas”, Archives of Civil Engineering, vol. 65, no. 3, pp. 113-126, 2019, doi: 10.2478/ace-2019-0038.
[12] E. Radziszewska-Zielina, G. Śladowski, and M. Sibielak, “Planning the reconstruction of a historical building by using a fuzzy stochastic network”, Automation in Construction, vol. 84, pp. 242-257, 2017, doi: 10.1016/j.autcon.2017.08.003.
[13] B. Nowogońska, “Intensity of Damage in the Aging Process of Buildings”, Archives of Civil Engineering, vol. 66, no. 2, pp. 19-31, 2020, doi: 10.24425/ace.2020.131793.
[14] H. Anysz, J. Rosłon, and A. Foremny, “7-Score Function for Assessing the Strength of Association Rules Applied for Construction Risk Quantifying”, Applied Sciences, vol. 12, no. 2, 2022, doi: 10.3390/app12020844.
[15] F. AL-Sahar, A. Przegalińska, and M. Krzemiński, “Risk assessment on the construction site with the use of wearable technologies”, Ain Shams Engineering Journal, vol. 12, no. 4, pp. 3411-3417, 2021, doi: 10.1016/j.asej.2021.04.006.
[16] J. Rusek, K. Tajduś, K. Firek, and A. Jędrzejczyk, “Score-based Bayesian belief network structure learning in damage risk modeling of mining areas building development”, Journal of Cleaner Production, vol. 296, 2021, doi: 10.1016/j.jclepro.2021.126528.
[17] L. Kaikkonen, T. Parviainen, M. Rahikainen, L. Uusitalo, and A. Lehikoinen, “Bayesian Networks in Environmental Risk Assessment: A Review”, Integrated Environmental Assessment and Management, vol. 17, no. 1, pp. 62-78, 2021, doi: 10.1002/ieam.4332.
[18] A. Leśniak and F. Janowiec, “Risk assessment of additional works in railway construction investments using the Bayes network”, Sustainability, vol. 11, no. 19, 2019, doi: 10.3390/su11195388.
[19] J. Navratil, K. Picha, S. Martinat, P.C. Nathanail, K. Tureckova, and A. Holesinska, “Resident’s preferences for urban brownfield revitalization: Insights from two Czech cities”, Land Use Policy, vol. 76, pp. 224-234, 2018, doi: 10.1016/j.landusepol.2018.05.013.
[20] M.S. Haigh and J.A. List, “Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis”, The Journal of Finance, vol. 60, no. 1, pp. 523-534, 2005, doi: 10.1111/j.1540-6261.2005.00737.x.
[21] D. Kahneman and A. Tversky, “Prospect Theory: An Analysis of Decision under Risk”, Econometrica, vol. 47, no. 2, pp. 263-291, 1979, doi: 10.2307/1914185.
[22] M. Apollo and E. Miszewska-Urbańska, “Analysis of the Increase of Construction Cost in Urban Regeneration Projects”, Advances in Science and Technology. Research Journal, vol. 9, no. 28, pp. 68-74, 2015, doi: 10.12913/22998624/60786.
[23] C. Mahammedi, L. Mahdjoubi, C.A. Booth, and T.E. Butt, “Framework for preliminary risk assessment of brownfield sites”, Science of The Total Environment, vol. 807, 2022, doi: 10.1016/j.scitotenv.2021.151069.
[24] M. Apollo, Zarządzanie ryzykiem działań budowlanych w inwestycjach związanych z rewitalizacją obszarów miejskich. Gdansk University of Technology, 2017.
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