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Economic and Social Sustainability within Quantitative and Qualitative Metrics in Housing and the Construction Industry

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (21 June 2024) | Viewed by 3935

Special Issue Editors


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Guest Editor
Faculty of Geoengineering, The University fo Warmia and Mazury, Olsztyn, Poland
Interests: sustainable development of property markets; geo-analysis of real estate market; value forecasting; sustainability modern technology in modelling of real estate value; influence factors on the real estate value; application of artificial intelligence method in real estate analyses; automated valuation models; advanced data mining analyses
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Geoengineering, The University of Warmia and Mazury, 10-720 Olsztyn, Poland
Interests: geoinformatics; numerical algorithms; computer vision; computational geometry; databases; machine learning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Geoengineering, The University fo Warmia and Mazury, Olsztyn, Poland.
Interests: real estate management; urban and rural economics; urban development; land use policy; regional planning; regional development; social geography; social equity; migration; social inclusion; regional economics; economic geography; spatial economics; location theory; housing policy

Special Issue Information

Dear Colleagues,

The intersection between economic, social, environmental factors and sustainability has become a focal point in today's challenges, especially in the context of housing and the construction industry. As societies worldwide continue to evolve, the housing sector stands as a platform for striking a balance between social needs, economic viability and environmental responsibility. This research area is crucial, offering insights into creating living spaces that cater to diverse populations, while ensuring economic sustainability, adhering to environmental best practices and meeting increasingly demanding social needs and requirements.

Decision-making systems in this domain employ a variety of methods and models. The most popular ones use heuristic methods based on deterministic assumptions. Others rely on geostatistical analysis, which considers property geographic location or employs geographic information systems (GIS). Another dominant approach involves artificial intelligence-based methods, including data mining and machine learning. However, the data feeding these systems continues to evolve and often appears uncertain. For this reason, it remains a relevant topic and holds significant potential for scientific research, especially in the face of rapidly advancing digital technologies.

This Special Issue aims to illuminate the quantitative and qualitative metrics guiding social and economic sustainability within housing and the construction industry. In line with the broader vision of the Sustainability journal, which emphasizes economic, business and management perspectives, this issue seeks to foster a deeper understanding of how social and economic considerations can be quantitatively measured and integrated into sustainable practices in the housing sector.

  • Quantitative and qualitative indicators in housing: Explore the metrics determining social and economic sustainability in housing developments and investments;
  • Social and economic dynamics in the construction industry: Analyze the interplay between social considerations, economic imperatives and sustainable practices in the construction industry;
  • Innovations and their socio-economic impacts: Investigate the effects of innovative practices and technologies on socio-economic sustainability in housing and the built industry;
  • Case studies: Offer empirical examples highlighting the successful implementation of quantitative/qualitative metrics in conjunction with social and economic sustainability considerations in housing and the broader construction industry.

In this Special Issue, original research articles and reviews are welcome. Research areas may include the suggested themes, but are not limited to them. 

We look forward to receiving your contributions.

Dr. Małgorzata Renigier-Biłozor
Dr. Artur Janowski
Dr. Alina Źróbek-Rózańska
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • social and economic sustainability
  • housing developments
  • construction industry practice
  • quantitative and qualitative metrics
  • economic and social impact assessment
  • housing market analyses
  • information processing methods

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Published Papers (2 papers)

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Research

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14 pages, 890 KiB  
Article
Physical Environment, Socio-Psychological Health, and Residential Satisfaction: A Link across Housing Types in the Unique Chinese Context
by Faan Chen, Fang Tian, Chris P. Nielsen, Jiaorong Wu and Xiaohong Chen
Sustainability 2023, 15(23), 16302; https://doi.org/10.3390/su152316302 - 25 Nov 2023
Cited by 1 | Viewed by 1315
Abstract
Housing plays a critical role in health and has real consequences on people’s wellbeing. Numerous studies have provided extensive insights into the housing–health–wellbeing association. However, in the Chinese context, the unique housing allocation system with institutional force may present a distinct picture from [...] Read more.
Housing plays a critical role in health and has real consequences on people’s wellbeing. Numerous studies have provided extensive insights into the housing–health–wellbeing association. However, in the Chinese context, the unique housing allocation system with institutional force may present a distinct picture from that based on international knowledge. Using sample data from housing surveys, this study employs statistical analysis and the Tobit model to explore the links between the physical environment, socio-psychological dispositions, and residential satisfaction at the neighborhood level across different housing types in the unique Chinese context. The analyses reveal that (1) residents’ socio-psychological dispositions and residential satisfaction vary remarkably across different housing types, with residents in replacement housing experiencing particularly low levels of residential satisfaction, presenting a regionalization trend; (2) housing types appear to have a significant effect on socio-psychological dispositions; and (3) physical environment characteristics in conjunction with socio-psychological dispositions significantly affect residential satisfaction. These findings suggest that social housing development should integrate socio-psychological initiatives with physical environment improvement, particularly for disadvantaged groups in public and replacement housing, to achieve more livable communities with better residential satisfaction and higher social resiliency and sustainability. Full article
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Review

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22 pages, 2681 KiB  
Review
Predicting Construction Company Insolvent Failure: A Scientometric Analysis and Qualitative Review of Research Trends
by Jun Wang, Mao Li, Martin Skitmore and Jianli Chen
Sustainability 2024, 16(6), 2290; https://doi.org/10.3390/su16062290 - 9 Mar 2024
Cited by 5 | Viewed by 2074
Abstract
The construction industry is infamous for its high insolvent failure rate because construction projects require complex processes, heavy investment, and long durations. However, there is a lack of a comprehensive framework and a requirement for such a framework in predicting the financial distress [...] Read more.
The construction industry is infamous for its high insolvent failure rate because construction projects require complex processes, heavy investment, and long durations. However, there is a lack of a comprehensive framework and a requirement for such a framework in predicting the financial distress of construction firms. This paper reviews relevant literature to summarize the existing knowledge, identify current problems, and point out future research directions needed in this area using a scientometric analysis approach. Based on a total of 93 journal articles relating to predicting construction company failure extracted from multiple databases, this study conducts a holistic review in terms of chronological trends, journal sources, active researchers, frequent keywords, and most cited documents. Qualitative analysis is also provided to explore the data collection and processing procedures, model selection and development process, and detailed performance evaluation metrics. Four research gaps and future directions for predicting construction company failure are presented: selecting a broader data sample, incorporating more heterogeneous variables, balancing model predictability and interpretability, and quantifying the causality and intercorrelation of variables. This study provides a big picture of existing research on predicting construction company insolvent failure and presents outcomes that can help researchers to comprehend relevant literature, directing research policy-makers and editorial boards to adopt the promising themes for further research and development. Full article
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