Speaker
Description
This research aims to study the impacts of urban sprawl on soil resources in Tours metropolitan area and the possibility of applying Artificial Intelligence (AI) to reduce its impact. The research focuses on the long-term study of improving the urban planning, with the objective of understanding the importance role of applying Artificial Intelligence applications in reducing the major impacts of urban sprawl especially on the soil resources. The study involves a combination of Artificial Intelligence applications, for example, analyzing various factors by using Artificial Intelligence algorithms, such as soil quality, land topography, and ecological sensitivity, to optimize land-use planning, also use AI-powered predictive modelling to assess the potential impact of urban development on soil resources. This involves considering factors like population growth, economic trends, and environmental conditions to forecast where sprawl might occur and identifying areas with vulnerable soil resources, moreover implementing AI-driven systems to assist in designing smart zoning regulations that prioritize the conservation of valuable soil resources. Artificial Intelligence can help identify areas suitable for development while safeguarding critical soil and environmental assets. The collected data is analyzed using analytical and descriptive methods and models. The outcomes of the research are significant contributions to the field of urban planning in general and urban sprawl in particular, including many aspects such as, a deeper understanding of the benefits and the importance role of applying Artificial Intelligence in minimizing soil degradation, monitoring and predicting soil erosion, developing new Artificial Intelligence applications that can be part of Tours urban sprawl. Also assessing the current impacts of urban sprawl and evaluate the key indicators contributing to soil degradation, presenting a worldwide outlook about the application of Artificial Intelligence in urban sprawl and identifying the reality of Tours in this new context, and improving monitoring to create data management platforms. Moreover a collaboration on the minimization of possible technological boundaries posed to Tours and besides, can be considered a reference study for countries in similar conditions. This research addresses important questions that are currently crucial for Tours metropolitan area, such as soil mitigation and environmental survey, and addresses several scientific questions related to the study of reducing urban sprawl impacts and improving soil resources using Artificial Intelligence technologies. Artificial Intelligence technologies will be used to produce a dynamic mapping which will help local authorities to implement a sustainable land management.
Artificial Intelligence has been applied in many developed cities mainly in the transportation, traffic regulation and security fields, not to other aspects of urban systems specially dealing with the use of resources, water energy and soil resources. So this is a key field where new intelligence systems could be implemented not to rebuild the system, but to build the system. So this could be something very interesting to show how Artificial Intelligence could be a lever for developing more rational and efficiency systems, and for the economic development. The application of Artificial Intelligence to mitigate urban sprawl offers a transformative approach to addressing the challenges associated with rapid urbanization. The multifaceted benefits of integrating Artificial Intelligence into urban planning and management underscore its potential as a powerful tool for creating sustainable, resilient, and environmentally friendly cities. In essence, the integration of Artificial Intelligence into urban planning not only addresses the challenges posed by urban sprawl but also opens avenues for creating cities that are environmentally conscious, economically viable, and socially inclusive.
References
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• Perrone, F., Gallucci, F., Mosconi, E.M. and Salvati, L. (2022). Soil quality and urban sprawl: Insights from long-term patterns in the Rome metropolitan region. [online] Elsevier, pp.91–111. doi:https://doi.org/10.1016/bs.apmp.2022.10.012.
• Yigitcanlar, T. and Cugurullo, F. (2020). The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities. Sustainability, 12(20), p.8548. doi:https://doi.org/10.3390/su12208548.
Keywords | Urban sprawl; Artificial Intelligence; soil resources; Land-Use planning; sustainable development |
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Best Congress Paper Award | Yes |