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Article From Desperation To Best Practice: Spatial Decision-Making in the Regeneration of Gyldenrisparken(Henry Stewart Publications, 2024) Bican,N.B.Post-war social housing estates in Europe have been undergoing wide-scale regeneration to improve the physical decay of these sites and address the concentration of vulnerable residents in these areas, which has resulted in their social segregation, marginalisation and stigmatisation. As these estates cover and affect quite large public spaces, holistic approaches have recently been adopted. Bearing in mind that each regeneration case is unique, this paper describes the collaborative approach taken in the regeneration of Gyldenrisparken in Denmark, which evolved from a desperate situation to a best practice case. The paper focuses on the spatial decision-making process — in particular, how the architectural quality of physical interventions was established and how participatory mechanisms were utilised and developed to enable liveable spaces and sustainable regeneration. Making use of a combination of qualitative documentary analysis and in-depth interviews with key actors, this study encompasses the whole regeneration process, including initiatives taken by the housing association and municipal agents, the methodology developed to collect ideas and implement them in the physical design of the public spaces, and the social effort to make the whole process sustainable and the estates liveable. It concludes that post-war estates have the potential to secure their future by embracing physical and social efforts through proactive empowerment strategies and creating new spatial identities. © 2024, Henry Stewart Publications. All rights reserved.Article Citation - WoS: 13Citation - Scopus: 18An E-Environment System for Socio-Economic Sustainability and National Security(Politechnika Lubelska, 2018) Okewu, Emmanuel; Misra, Sanjay; Fernandez Sanz, Luis; Maskeliunas, Rytis; Damasevicius, Robertas; Computer EngineeringThough there are adequate institutional frameworks and legal instruments for the protection of the Sub-Saharan African environment, their impact on the development and conservation (protection) of the environment leaves much to be desired. This assertion is substantiated by the reality that inspite of these regulatory frameworks, the environment is largely degraded with negative ramifications for the twin goals of attaining sustainable socio-economic advancement and realization of environmental rights. Both national and regional state of environment (SoE) reports show that degradation is apparent. It is worthy of mention that almost all African countries have ratified and domesticated the various regional and subregional environmental agreement. Efforts to solve the puzzle have revealed that corruption and environmental degradation in Sub-Saharan Africa are closely linked. Financial impropriety in ecological funds management, poorly equipped environmental protection institutions, and inadequate citizens' environmental management awareness campaigns are outcomes of corruption in the public sector. Since corruption thrives in the absence of transparency and accountability, this study proposes a cutting-edge technology-based solution that promotes participatory environmental accountability using an e-Environment system. The web-based multi-tier e-Environment system will empower both citizens and government officials to deliberate online real-time on environmental policies, programmes and projects to be embarked upon. Both parties will equally put forward proposals on the use of tax payers money in the environment sector while monitoring discrepancies between amount budgeted, amount released and actual amount spent. We applied design and software engineering skills to actualize the proposed solution. Using Nigeria as case study, our research methodology comprised literature review, requirements gathering, design of proposed solution using universal modelling language (UML) and development/implementation on the Microsoft SharePoint platform. In view of our determination to evolve a zero-defect software, we applied Cleanroom Software Engineering techniques. The outcome obtained so far has proved that the model supports our expectations. The system is not only practical, but ecologically sound. It is anticipated that the full-scale implementation of such an enterprise e-Environment system will decrease the current tide of corruption in the environment sector, mitigate environmental degradation and by extension, reduce social-economic tensions and guarantee national security.Article Citation - WoS: 3Citation - Scopus: 4Predictive Rental Values Model for Low-Income Earners in Slums: the Case of Ijora, Nigeria(Taylor & Francis Ltd, 2023) Iroham, Chukwuemeka O.; Misra, Sanjay; Emebo, Onyeka C.; Okagbue, Hilary, IIt is well known most often that values of properties tend to hike at the effluxion of time. This has necessitated the adoption of predictive models in interpreting outcomes in the property market in the future. Earlier studies have been oblivious of such models' outcomes as it affects any focal group, particularly the vulnerable. This present study focuses on the low-income earners found in the slum. The Ijora community in Lagos was the highlight of this study, particularly Ijora Badia and Ijora Oloye, regarded as slums according to the UNDP report. The entire fifty-two (52) local agents in the Ijora community were surveyed in cross-sectional survey research that entailed the questionnaire's issuance. The nexus of data collection, pre-processing, data analysis, algorithm application, and model evaluation resulted in retrieving rental values within the years 2010 and 2019 on two predominant residential property types of self-contain and one-bedroom flats found within the community. Three selected algorithms, Artificial Neural Network (ANN), Support Vector Machine, and Logistic Regression, were essentially used as classifiers but trained to predict the continuous values. These algorithms were implemented through the use of Python's SciKit-learn Library and RapidMiner. The findings revealed that though all three models gave accurate predictions, Logistic Regression was the highest with low error values. It was recommended that Logistic Regression be applied but with much data set of property values of low-income earners over much more period. This study will contribute to the Sustainable development goals(SDG) 11(Sustainable cities and communities) of the United Nations to benefit developing countries, especially in sub-Saharan Africa.Conference Object Citation - Scopus: 1Sustainable Business Model Innovation: a Quantitative Analysis of Relevant Factors(Institute of Electrical and Electronics Engineers Inc., 2023) Salimnezhad,A.; Dastgoshade,S.To integrate sustainability targets into a company's business model, one potential mechanism is sustainable business model innovation (SBMI). It defines how new business models are developed to change organizations' existing business model targets for sustainable development. Despite SBMI's great potential to address industries' long-standing sustainability challenges, it is not fully adopted in practice. This study through a DEMATEL technique strives to outline the possible actions that need to be taken before implementing SBMI to enhance the success rate. The current study investigates the most significant and necessary actions through strategic, institutional, and operational segments. Results suggest that action programs at organizations' strategic- and institutional levels are more critical to have a successful SBMI implementation. Moreover, our results indicate that innovation or more clearly how innovation is practiced within an organization is key to fully unlocking the SBMI's potential. © 2023 IEEE.Article Citation - WoS: 7Citation - Scopus: 6Different Approach To Forming Sustainable Cities: Cittaslow(Scibulcom Ltd, 2017) Orhan, M.; ArchitectureToday, many cities can not adapt to 'urban deformation' escalated by globalisation and to the changes that develop accordingly. 'Fast' evolving lifestyles of the people bring a new identity and structure to cities. In the meantime, these lifestyles also deteriorate basic structural identities quite rapidly. While global processes force the whole world to follow a fast lifestyle, they also affect local lives and give rise to the rapid disappearance of urban differences and authenticities. 'Areas of poor quality with no identity and distinct characteristic features' have thus become the biggest problem of cities. Various urban approaches have started to be shown to solve these problems. One of these approaches is 'sustainable cities' that has emerged for a better environment and social life for the communities. Within the scope of this study, 'Cittaslow' is addressed as a different approach to building sustainable cities. Within this context, by ensuring the notion of 'Cittaslow' is clearly understood, urban parameters suggested by 'Cittaslow' within the framework of sustainability as a solution to modern-day urban problems have been determined. This urban movement, which strives for the protection of authenticity against the impact of globalisation, resists and scrutinises fast lifestyle and its effects on cities and the quality of urban life.Conference Object Real Options Valuation of Solar Energy Projects: a Systematic Review(Association of Researchers in Construction Management, 2024) Ustun, F.S.; Bilgin, G.; Akcay, E.C.Energy plays an essential role in the development of countries, addressing the basic needs of people, and advancing technological progress. As the world's population and the energy demand in the industrial sector increase rapidly, the limited non-renewable energy resources prove insufficient to supply this demand. Consequently, both developed and developing countries are shifting towards renewable energy sources to meet their energy needs. As a result, the number of renewable energy projects in the world has been increasing day by day. Solar energy technology stands as an exemplar within the realm of renewable energy resources, playing a pivotal role in contributing to their overall share. Assessing the economic feasibility of solar energy projects is crucial to ensure their success. Traditional economic analysis methods often disregard managerial flexibility, leading to prefer the real options valuation for analysing the economic feasibility of solar energy projects. Therefore, the objective of this research is to review the application of the real options valuation for valuing solar energy projects in the existing literature. The findings of this study may provide a roadmap for future research efforts. © Association of Researchers in Construction ManagementArticle Citation - WoS: 12Citation - Scopus: 14A Curriculum on Sustainable Information Communication Technology(Politechnika Lubelska, 2015) Ozkan, Baris; Mishra, Alok; Information Systems Engineering; Software EngineeringEconomies are increasingly becoming dependent on Information Communication Technology (ICT) and concerns over sustainability have called for the investigation of the relation between sustainability and ICT. While the majority of the studies in this field have an environmentalist focus in this regard, technical, economical and societal concerns on sustainability have arisen in the last decade. Today, more and more studies are addressing the need for the inclusion of sustainability as a design goal for ICT development and for the systems that rely on ICT. Therefore, the integration of education on sustainability in the curriculum is imperative for current and future generations of professionals to accomplish this goal. In this paper, we propose a curriculum for sustainable ICT along with the expected learning outcomes and components. The course design is based on a multi-faceted approach that embraces different viewpoints on sustainability and aims to increase students' awareness of the complex nature of sustainability.Review Citation - WoS: 8Citation - Scopus: 11A Review on the Applications of Machine Learning and Deep Learning in Agriculture Section for the Production of Crop Biomass Raw Materials(Taylor & Francis inc, 2023) Peng, Wei; Karimi Sadaghiani, OmidThe application of biomass, as an energy resource, depends on four main steps of production, pre-treatment, bio-refinery, and upgrading. This work reviews Machine Learning applications in the biomass production step with focusing on agriculture crops. By investigating numerous related works, it is concluded that there is a considerable reviewing gap in collecting the applications of Machine Learning in crop biomass production. To fill this gap by the current work, the origin of biomass raw materials is explained, and the application of Machine Learning in this section is scrutinized. Then, the kinds and resources of biomass as well as the role of machine learning in these fields are reviewed. Meanwhile, the sustainable production of farming-origin biomass and the effective factors in this issue are explained, and the application of Machine Learning in these areas are surveyed. Summarily, after analysis of numerous papers, it is concluded that Machine Learning and Deep Learning are widely utilized in crop biomass production areas to enhance the crops production quantity, quality, and sustainability, improve the predictions, decrease the costs, and diminish the products losses. According to the statistical analysis, in 19% of the studies conducted about the application of Machine Learning and Deep Learning in crop biomass raw materials, Artificial Neural Network (ANN) algorithm has been applied. Afterward, the Random Forest (RF) and Super Vector Machine (SVM) are the second and third most-utilized algorithms applied in 17% and 15% of studies, respectively. Meanwhile, 26% of studies focused on the applications of Machine Learning and Deep Learning in the sugar crops. At the second and third places, the starchy crops and algae with 23% and 21% received more attention of researchers in the utilization of Machine Learning and Deep Learning techniques.
