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Sustainability
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Rethinking Social Sustainable Construction Practices
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Rethinking Social Sustainable Construction Practices

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 6462

Special Issue Editor

Dr. Ali Keyvanfar

E-Mail Website
Guest Editor
College of Architecture and Construction Management, Kennesaw State University, Marietta, GA 30060, USA
Interests: sustainable construction; sustainable development; construction management; construction material; decision making
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

At the age of communication, social networking, branding by reviews, and hashtag influences, the risk of the social movement, neighborhood-driven work stops, and construction delay due to unaddressed social concerns is increasing. If proper risk identification and mitigation is not in practice, soon we will see the “neighborhood delays” as a modern risk factor to stay. This Special Issue is mainly to publish a fresh collection of review papers, exploratory and confirmatory research manuscripts, or case studies on three main topics directing us on “Rethinking Social Sustainable Construction Practices.” a) Neighborhood concerns: Crime footprint (the effect of construction on urban crime, etc.), social carrying capacity footprint (the effect of construction on neighborhood tolerance of future developments, etc.), public goods footprint (the effect of construction on urban/in-home quality of life, etc.). b) General public concerns: Migration footprint (the effect of construction on “medium-term,” “long-term,” “illegal” migration, etc.), class society footprint (the effect of construction market segmentation strategies on the creation of class societies, etc.), heritage footprint (the effect of the construction industry on losses of young heritage/generation’s heritage, etc.). c) Concerns on the current mechanisms: CSR actions and effectiveness (analyzing public participation case studies, etc.), NGOs’ actions and effectiveness (effective strategies to fund non-profit projects, etc.), SDG relevant projects (how effective are SDGs in addressing construction social sustainability concerns? etc.).

Dr. Ali Keyvanfar
Guest Editor

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

  • Public goods
  • Social carrying capacity
  • Crime, migration, corruption, heritage, class society
  • Unsustainable development goals
  • Corporate social responsibility
  • Nonprofit actions

Published Papers (2 papers)

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Research

27 pages, 2202 KiB  
Article
COVID-19-Adapted Multi-Functional Corniche Street Design Assessment Model: Applying Global Sensitivity Analysis (GSA) and Adaptability Analysis Methods
by Arezou Shafaghat, Salim Ferwati and Ali Keyvanfar
Sustainability 2022, 14(17), 10940; https://doi.org/10.3390/su141710940 - 1 Sep 2022
Viewed by 1131
Abstract
The world-shaking communicable coronavirus disease (i.e., COVID-19) has become a pandemic threat to a healthy built environment. This study aimed to develop the COVID-19-adapted multi-functional corniche street design (Ca-MCSD) assessment model. Accordingly, this study identified variables coordinating the local environmental, physical, social, cultural, [...] Read more.
The world-shaking communicable coronavirus disease (i.e., COVID-19) has become a pandemic threat to a healthy built environment. This study aimed to develop the COVID-19-adapted multi-functional corniche street design (Ca-MCSD) assessment model. Accordingly, this study identified variables coordinating the local environmental, physical, social, cultural, and political mediations of multi-functional corniche street design. Secondly, it measured the weight of every single variable through confirmatory analysis, normalization, and standardization techniques, and an expert-input study then developed the MCSD model and Ca-MCSD model. This study validated the models through a case study (i.e., Al Wakrah corniche street in Dubai, Qatar) and conducted ANOVA regression analysis and global sensitivity analysis (GSA). The Ca-MCSD model evaluates the design quality of a corniche street across five criteria—inclusiveness, desirable activities, safety, comfort, and pleasurability—and forty-two sub-criteria. The regression analysis determined that the MCSD model and Ca-MCSD model are linearly and positively correlated (Y = 0.811777X + 0.383401), where the Pearson regression coefficient (r) equaled 0.903729, r2 equaled 0.816727, and the p-value was 0.025 with 95% confidence intervals. The research found that, before the COVID-19 pandemic, microclimate comfort (avWSc.3.4 = 7.880), community gathering places (Sc.2.1), availability of foods (Sc.2.4), appropriate maintenance and physical condition (Sc.3.6), and attractiveness of space (Sc.5.8) (avW = 6.000) played critical roles in designing a multi-functional corniche street. However, after the onset of the COVID-19 pandemic, the key drivers changed to microclimate comfort (favWSc.3.4 = 12.632), appropriate maintenance and physical condition (favWSc.3.6 = 9.618), physical/visual connection or openness to adjacent spaces (favWSc.4.1 = 4.809), and over-securitization (favWSc.4.1 = 4.287). Full article
(This article belongs to the Special Issue Rethinking Social Sustainable Construction Practices)
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23 pages, 4294 KiB  
Article
The Social Risk of High-Speed Rail Projects in China: A Bayesian Network Analysis
by Yutong Xue and Pengcheng Xiang
Sustainability 2020, 12(5), 2087; https://doi.org/10.3390/su12052087 - 8 Mar 2020
Cited by 18 | Viewed by 4300
Abstract
In China, high-speed rail projects have brought huge social and economic benefits to the affected regions after they are completed. However, the potential externalities of such projects cause competition for the station during the project planning phase, thus triggering social risks. This paper [...] Read more.
In China, high-speed rail projects have brought huge social and economic benefits to the affected regions after they are completed. However, the potential externalities of such projects cause competition for the station during the project planning phase, thus triggering social risks. This paper studies the mechanisms responsible for generating the social risk associated with such high-speed rail projects. Employing typical case studies, a social risk list for a given project is established. Based on the risk list, a Bayesian network model is developed and verified through case studies, expert interviews, and expert grading. Using the model’s functions of reverse inference and sensitivity analysis, the key risk factors, sensitive risk factors, and maximum causal chain are identified. Countermeasures are then proposed to mitigate the social risk, such as increasing the transparency of and democratizing the planning process for high-speed rail projects, improving the mechanism by which local governments can express interest in such projects, and enhancing emergency management mechanisms. The findings provide points of reference for social risk management when it comes to planning high-speed rail projects and, more generally, offer significant guidance for socially sustainable decision-making processes for mega projects with massive externalities. Full article
(This article belongs to the Special Issue Rethinking Social Sustainable Construction Practices)
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