Aiming for a new direction in housing planning using machine learning models

Machine Learning


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Biodiversity-Health Exposures/Experiences-Outcome Pathways Overview. Credit: Marselle et al., 2021

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Biodiversity-Health Exposures/Experiences-Outcome Pathways Overview. Credit: Marselle et al., 2021

Machine learning models for more sustainable and affordable housing in rural areas assess not only bushfire risk but also disability, biodiversity and animal habitat considerations in urban housing environments We offer a new perspective on urban planning and the housing market.

These alternatives were presented in five different Flinders University studies that applied different lenses to different aspects of future residential living and housing development.

In the first study, Flinders University spatial science and data analysis expert Dr Ali Soltani applied advanced machine learning algorithms to payout over 10,000 home sales in the region between 2010 and 2021. We investigated the relationship between market prices and microeconomic and socio-economic factors, revealing insights for South Australia. Movements in housing prices.

They surveyed 10,235 properties sold in the Western region of South Australia, including major cities such as Port Augusta, Whyalla and Port Lincoln, and found that coastal locations were preferred over hinterland and remote areas, and rural Affordable housing showed a significant increase in overall prices. A city under the new coronavirus pandemic.

“The key finding is that the machine learning model outperforms traditional econometric models in predicting local house prices with greater accuracy and relevance, providing valuable insights to policy makers, real estate professionals and other stakeholders to inform local planning, infrastructure development and economic development strategies,” said Dr Soltani, who worked on the project with co-author Professor Chai-Rini Lee from the UNSW Urban Futures Research Centre.

Dr Soltani said this new approach sheds light on the complex and non-linear dynamics of the housing market, as remote working and urban housing prices improve demand for housing development in South Australia, and possibly other regional regions. He said it was appropriate.

“Nonlinear dynamics of regional housing markets in South Australia: A machine learning approach” by Ali Soltani and Chyi Lin Lee applied geography.

In a second study published in Ecological Informatics, Flinders University researchers used remote sensing technology and computer mapping to precisely measure bushfire recovery in the region. These tools may also be useful for future planning and conservation efforts in Australia.

In a third study published in the journal social scienceResearchers at Flinders University used a comprehensive framework to identify the housing and future planning needs of adults with intellectual and developmental disabilities and their carers and service providers.

“Research shows that adults with intellectual disabilities tend not to participate in decisions about where they live,'' and “Choosing a Way Forward: How Parents Address Post-Housing Needs.'' Associate Professor Ruth Walker, who is leading the ARC Linkage Project entitled “Responsiveness.'' Caregivers of adults with intellectual disabilities and their older family members. ”

“This pilot study highlights the potential for empowering people living with disabilities throughout the housing planning process in future,” Associate Professor Walker said.

Optimizing urban green spaces and blue (aquatic) environments to maximize human health and biodiversity is the focus of the latest research from the Flinders Research Group, led by Associate Professor Martin Breed.

Researchers are building on a body of research to identify and establish a framework that incorporates specific biodiversity indicators to enhance and improve the relationship between human health and more positive environmental exposures in cities. There is.

“From the soil, we seek to highlight the underappreciated link between human health and well-being and the environment in urban life,” says “Probiotic Cities: The Microbiome.” Associate Professor Breed, co-author of another paper entitled, added: Integrated design for healthy urban ecosystems. ”

“We need to improve policy settings to promote and manage ecosystem recovery as a public health intervention,” says microbial ecologist Dr. Jake Robinson, lead author of the paper. environmental research.

See also 'Biodiversity and human health: a scoping review and examples of underappreciated links' by Jake M Robinson, Andrew C Breed, Araceli Camargo, Nicole Redvers and Martin F Breed. environmental research

The fifth study animals and science fictionfocuses on more “sustainable” urban development and investigates the relative absence of animals in urban planning and urban design.

“Pets and wild animals provide direct benefits to humans, such as a way to reconnect with nature, exercise and companionship,” the researchers write in a new chapter in their book.

“This research will help rethink alternatives to the existing 30-year planning strategy and provide an alternative vision for human-animal relationships in Melbourne by 2050,” Flinders researcher Dr Zoe Sutton says.

For more information:
Ali Soltani et al., Nonlinear dynamics of regional housing markets in South Australia: A machine learning approach; applied geography (2024). DOI: 10.1016/j.apgeog.2024.103248

Wenjie Liu et al. Delineating the spatial extent of wildfires and post-fire recovery along a semi-arid climate gradient using remote sensing, ecological informatics (2023). DOI: 10.1016/j.ecoinf.2023.102304

Irene Belperio et al., Using comprehensive research methods and the housing pathways framework in future planning and housing research: A pilot study, social science (2024). DOI: 10.3390/socsci13030170

Zoe Sutton et al., “A Multispecies Right to the City? Rethinking Speculative Narratives of Urban Sustainability,” animals and science fiction (2024). DOI: 10.1007/978-3-031-41695-8_16

Jake M. Robinson et al, Biodiversity and Human Health: A Scoping Review and Examples of Underappreciated Associations, environmental research (2024). DOI: 10.1016/j.envres.2024.118115

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