Facility Location Problems: Models, Techniques, and Applications in Waste Management

This paper presents a brief description of some existing models of facility location problems (FLPs) in solid waste management. The study provides salient information on commonly used distance functions in location models along with their corresponding mathematical formulation. Some of the optimization techniques that have been applied to location problems are also presented along with an appropriate pseudocode algorithm for their implementation. Concerning the models and solution techniques, the survey concludes by summarizing some recent studies on the applications of FLPs to waste collection and disposal. It is expected that this paper will contribute in no small measure to an integrated solid waste management system with specific emphasis on issues associated with waste collection, thereby boosting the drive for e�ective and e�cient waste collection systems. The content will also provide early career researchers with some necessary starting information required to formulate and solve problems relating to FLP

The role of operational research in green freight transportation

Recent years have witnessed an increased awareness of the negative external impacts of freight transportation. The field of Operational Research (OR) has, particularly in the recent years, continued to contribute to alleviating the negative impacts through the use of various optimization models and solution techniques. This paper presents the basic principles behind and an overview of the existing body of recent research on ‘greening’ freight transportation using OR-based planning techniques. The particular focus is on studies that have been described for two heavily used modes for transporting freight across the globe, namely road (including urban and electric vehicles) and maritime transportation, although other modes are also briefly discussed

A Guideline for Environmental Games (GEG) and a randomized controlled evaluation of a game to increase environmental knowledge related to human population growth

People often have very little knowledge about the impact of unsustainable human population growth on the environment and social well-being especially in developing countries. Therefore, an efficient method should be explored in order to educate, and if possible, to convince the members of the public to realize the environmental and social problems caused by the unsustainable population growth. Digital Game-Based Learning (DGBL) has been highlighted by some studies as an innovative tool for learning enhancement. While only a handful of studies have scientifically evaluated the impact of DGBL on knowledge outcomes, the approach is an attractive tool to increase knowledge and motivate engagement with environmental issues surrounding population growth because of its potential to improve learners’ motivation and engagement thereby compared to traditional learning approaches. Therefore, the three primary research questions for this study are: 1) "Can a single-player digital game be an appropriate and attractive learning application for the players to gain insight about the relationship between the growing human population and the environmental issues?" 2) "How can we design environmental games for the players to gain insights about the relationship between the growing human population and the environmental issues via playing a game?" and 3) "What are the obstacles preventing the players from adapting environmental knowledge obtained from the learning mediums into the real-life?" To inform the development of an efficacious DGBL game to impact learning outcomes, critical reviews of environmental issues related to population growth as well as critical reviews of commercial and serious environmental games in terms of their educational and motivational values were undertaken in this study. The results of these critical reviews informed the development of a Guideline for Environmental Games (or GEG). The GEG was developed by combining the engaging game technology with environmental learning and persuasion theories. The GEG was then used to inform the development of a prototype game called THE GROWTH; a single-player, quiz-based, city-management game targeting young adolescents and adults. Multiple evaluation methods of the game were used to answer the three key research questions mentioned earlier. These methods included: 1) The Randomized Controlled Trial approach (RCT) where the participants were systematically divided into the experimental and the control group respectively and their knowledge scores (quantitative data) compared and analyzed, 2) The participants’ abilities to recall and describe the environmental and well-being issues were collected and analyzed qualitatively using The Content Analysis method (CA) and, 3) The participants’ overall feedback on the learning mediums was collected and analyzed to evaluate the motivational values of THE GROWTH itself. To this end, THE GROWTH was evaluated with 82 Thai-nationality participants (70 males and 12 females). The results showed that participants assigned to play THE GROWTH demonstrated greater environmental and social-well-being knowledge related to population growth (F(1,40) = 43.86, p = .006) compared to the control group participants assigned to a non-interactive reading activity (consistent with material presented in THE GROWTH). Furthermore, participants who played THE GROWTH recalled on average more content presented in the game when compared to participants who were presented with similar content in the reading material (t (59) = 3.35, p = .001). In terms of level of engagement, the study suggested that participants assigned to the game were more engaging with their learning medium on average when compared to participants assigned to the non-interactive reading activity. This is evidenced by the longer time participants spent on the task, the activity observed from participants’ recorded gameplay, and their positive responses in the survey. The semi-structured interviews used in this study highlighted the participants’ attitudes towards the environmental, social, and technological issues. Although the participants’ perceived behavioural intention towards the environmental commitments were not statistically differed between the two study group, their responses still provide some evidences that leaps may occur from the learning mediums to the real-world context. Furthermore, these responses can be valuable evidences for the policy makers and for the future development of environmental serious games. Overall, the results suggested that digital environmental games such as THE GROWTH might be an effective and motivational tool in promote the learning about sustainable population size, the environment, and the social well-being. The game’s ability to convince the participants to change towards sustainable lifestyles, however, might be subjected to the future research and other real-world circumstances such as the governmental and public supports. In summary, the research in this thesis makes the following contributions to knowledge: • The Guideline for Environmental Games (GEG) contributes to knowledge about making theoretically-based environmental games. It has particular significance because the guideline was validated by demonstrating learning improvements in a systematic randomized controlled trial. • The use of Multi-Strategy Study Design where multiple systematic evaluation methods were used in conjunction to provide conclusive findings about the efficacy of DGBL to impact outcomes. • THE GROWTH itself is a contribution to applied research as an example of an effective DGBL learning tool

A Fragile Inheritance

In A Fragile Inheritance Saloni Mathur investigates the work of two seminal figures from the global South: the New Delhi-based critic and curator Geeta Kapur and contemporary multimedia artist Vivan Sundaram. Examining their written and visual works over the past fifty years, Mathur illuminates how her protagonists’ political and aesthetic commitments intersect and foreground uncertainty, difficulty, conflict, and contradiction. This book presents new understandings of the culture and politics of decolonization and the role of non-Western aesthetic avant-gardes within the discourses of contemporary art. Through skillful interpretation of Sundaram's and Kapur’s practices, Mathur demonstrates how received notions of mainstream art history may be investigated and subjected to creative redefinition. Her scholarly methodology offers an impassioned model of critical aesthetics and advances a radical understanding of art and politics in our time

Experimental investigation and modelling of the heating value and elemental composition of biomass through artificial intelligence

Abstract: Knowledge advancement in artificial intelligence and blockchain technologies provides new potential predictive reliability for biomass energy value chain. However, for the prediction approach against experimental methodology, the prediction accuracy is expected to be high in order to develop a high fidelity and robust software which can serve as a tool in the decision making process. The global standards related to classification methods and energetic properties of biomass are still evolving given different observation and results which have been reported in the literature. Apart from these, there is a need for a holistic understanding of the effect of particle sizes and geospatial factors on the physicochemical properties of biomass to increase the uptake of bioenergy. Therefore, this research carried out an experimental investigation of some selected bioresources and also develops high-fidelity models built on artificial intelligence capability to accurately classify the biomass feedstocks, predict the main elemental composition (Carbon, Hydrogen, and Oxygen) on dry basis and the Heating value in (MJ/kg) of biomass...Ph.D. (Mechanical Engineering Science

The Pacific Sentinel, January 2019

Editor: Jake Johnson Articles in this issue include: Happy New Years From Times Square!; First Confirmed and Evidence of Dinosaurs in Oregon; Reduced Bus Fare for Low-Income Individuals; Village Model Design Exhibit; Yellow Vest Protest of PDX; The Sentinelese and John Allen Chau; The Heat Is on the Catholic Church; Fatal Thanksgiving Encounter with CPSO; After the Sixth Day; Still Fighting for Stonewall; A Student Sails the Seas; The Statue With a Voice; Red Clocks and Rising Anti-Abortion Laws; What Is Your Face Shape?; Library Archives; Mysteries, Murder, and Mayhem in 2018; Sun Ra Rises at PAM; and 2018 in Musichttps://pdxscholar.library.pdx.edu/pacificsentinel/1018/thumbnail.jp

Emerging Technologies

This monograph investigates a multitude of emerging technologies including 3D printing, 5G, blockchain, and many more to assess their potential for use to further humanity’s shared goal of sustainable development. Through case studies detailing how these technologies are already being used at companies worldwide, author Sinan Küfeoğlu explores how emerging technologies can be used to enhance progress toward each of the seventeen United Nations Sustainable Development Goals and to guarantee economic growth even in the face of challenges such as climate change. To assemble this book, the author explored the business models of 650 companies in order to demonstrate how innovations can be converted into value to support sustainable development. To ensure practical application, only technologies currently on the market and in use actual companies were investigated. This volume will be of great use to academics, policymakers, innovators at the forefront of green business, and anyone else who is interested in novel and innovative business models and how they could help to achieve the Sustainable Development Goals. This is an open access book

Food Waste Management Networks: Novel Methods for Overcoming Emerging Logistics Challenges

The U.S. produces an estimated 63 million tons of food waste per year. Interest from state and local governments in diverting unused food from landfills to alternative treatment facilities is growing. However, this emerging food waste (FW) stream will face logistics challenges as diversion networks expand. Current methods for evaluating challenges are insufficient for providing solutions for network development because they do not explore the impacts of variability in the food waste management system. This dissertation aims to fill this knowledge gap by exploring three key research areas. First, variability in FW generation from different types of commercial generators is characterized. Empirically collected data is combined with the prevailing FW estimation method to characterize how generator attributes, temporal variability, and spatial heterogeneity in FW generation could impact development of diversion networks. Results show that representing FW generation from commercial sources in New York State with a single annual value is likely inadequate for policy and planning purposes due to the uncertainty surrounding anticipated FW generation. Second, two transportation models are presented to understand how variability in spatial locations and generation rates affects FW collection. Results indicate that in residential systems with uniform generation rates, increasing spatial density of participants is critical to reducing service costs. In commercial systems, the inherent heterogeneity of food waste generation rates is important to reduce costs for initial collection services. Finally, material inputs and digestate management are incorporated into a FW treatment facility siting method. Results show that digestate transportation distance is critical for ensuring that land application of digestate does not overload nearby farm fields with phosphorus. This dissertation contributes to the body of scientific knowledge for waste management through the creation of novel, generalizable methods that investigate the impacts of variability on logistics decisions to inform development of effective food waste management networks