420 research outputs found
Green Cities Artificial Intelligence
119 pagesIn an era defined by rapid urbanization, the effective planning and
management of cities have become paramount to ensure sustainable
development, efficient resource allocation, and enhanced quality of life
for residents. Traditional methods of urban planning and management
are grappling with the complexities and challenges presented by modern
cities. Enter Artificial Intelligence (AI), a disruptive technology that holds
immense potential to revolutionize the way cities are planned, designed,
and operated.
The primary aim of this report is to provide an in-depth exploration of the
multifaceted role that Artificial Intelligence plays in modern city planning
and management. Through a comprehensive analysis of key AI
applications, case studies, challenges, and ethical considerations, the
report aims to provide resources for urban planners, City staff, and
elected officials responsible for community planning and development.
These include a model City policy, draft informational public meeting
format, AI software and applications, implementation actions, AI
timeline, glossary, and research references. This report represents the
cumulative efforts of many participants and is sponsored by the City of
Salem and Sustainable City Year Program. The Green Cities AI project
website is at: https://blogs.uoregon.edu/artificialintelligence/.
As cities continue to evolve into complex ecosystems, the integration of
Artificial Intelligence stands as a pivotal force in shaping their
trajectories. Through this report, we aim to provide a comprehensive
understanding of how AI is transforming the way cities are planned,
operated, and experienced. By analyzing the tools, applications, and
ethical considerations, we hope to equip policymakers, urban planners,
and stakeholders with the insights needed to navigate the AI-driven
urban landscape effectively and create cities that are not only smart but
also sustainable, resilient, and regenerative.This year's SCYP partnership is possible in part due to support from U.S. Senators Ron Wyden and Jeff Merkley, as well as former Congressman Peter DeFazio, who secured federal funding for SCYP through Congressionally Directed Spending. With additional funding from the city of Salem, the partnerships will allow UO students and faculty to study and make recommendations on city-identified projects and issues
Undergraduate and Graduate Course Descriptions, 2023 Spring
Wright State University undergraduate and graduate course descriptions from Spring 2023
Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling
In the last decade, the Industrial Revolution 4.0 brought flexible supply chains and flexible design projects to the forefront. Nevertheless, the recent pandemic, the accompanying economic problems, and the resulting supply problems have further increased the role of logistics and supply chains. Therefore, planning and scheduling procedures that can respond flexibly to changed circumstances have become more valuable both in logistics and projects. There are already several competing criteria of project and logistic process planning and scheduling that need to be reconciled. At the same time, the COVID-19 pandemic has shown that even more emphasis needs to be placed on taking potential risks into account. Flexibility and resilience are emphasized in all decision-making processes, including the scheduling of logistic processes, activities, and projects
Occupant-Centric Simulation-Aided Building Design Theory, Application, and Case Studies
This book promotes occupants as a focal point for the design process
Simulating the Integration of Urban Air Mobility into Existing Transportation Systems: A Survey
Urban air mobility (UAM) has the potential to revolutionize transportation in
metropolitan areas, providing a new mode of transportation that could alleviate
congestion and improve accessibility. However, the integration of UAM into
existing transportation systems is a complex task that requires a thorough
understanding of its impact on traffic flow and capacity. In this paper, we
conduct a survey to investigate the current state of research on UAM in
metropolitan-scale traffic using simulation techniques. We identify key
challenges and opportunities for the integration of UAM into urban
transportation systems, including impacts on existing traffic patterns and
congestion; safety analysis and risk assessment; potential economic and
environmental benefits; and the development of shared infrastructure and routes
for UAM and ground-based transportation. We also discuss the potential benefits
of UAM, such as reduced travel times and improved accessibility for underserved
areas. Our survey provides a comprehensive overview of the current state of
research on UAM in metropolitan-scale traffic using simulation and highlights
key areas for future research and development
University of Windsor Undergraduate Calendar 2023 Spring
https://scholar.uwindsor.ca/universitywindsorundergraduatecalendars/1023/thumbnail.jp
LIPIcs, Volume 277, GIScience 2023, Complete Volume
LIPIcs, Volume 277, GIScience 2023, Complete Volum
12th International Conference on Geographic Information Science: GIScience 2023, September 12–15, 2023, Leeds, UK
No abstract available
University of Windsor Undergraduate Calendar 2023 Winter
https://scholar.uwindsor.ca/universitywindsorundergraduatecalendars/1020/thumbnail.jp
Improving the sustainability of coal SC in both developed and developing countries by incorporating extended exergy accounting and different carbon reduction policies
In the age of Industry 4.0 and global warming, it is inevitable for decision-makers to change the way they view the coal supply chain (SC). In nature, energy is the currency, and nature is the source of energy for humankind. Coal is one of the most important sources of energy which provides much-needed electricity, as well as steel and cement production. This manuscript-based PhD thesis examines the coal SC network as well as the four carbon reduction strategies and plans to develop a comprehensive model for sustainable design. Thus, the Extended Exergy Accounting (EEA) method is incorporated into a coal SC under economic order quantity (EOQ) and economic production quantity (EPQs) in an uncertain environment. Using a real case study in coal SC in Iran, four carbon reduction policies such as carbon tax (Chapter 5), carbon trade (Chapter 6), carbon cap (Chapter 7), and carbon offset (Chapter 8) are examined. Additionally, all carbon policies are compared for sustainable performance of coal SCs in some developed and developing countries (the USA, China, India, Germany, Canada, Australia, etc.) with the world's most significant coal consumption. The objective function of the four optimization models under each carbon policy is to minimize the total exergy (in Joules as opposed to Dollars/Euros) of the coal SC in each country. The models have been solved using three recent metaheuristic algorithms, including Ant lion optimizer (ALO), Lion optimization algorithm (LOA), and Whale optimization algorithm (WOA), as well as three popular ones, such as Genetic algorithm (GA), Ant colony optimization (ACO), and Simulated annealing (SA), are suggested to determine a near-optimal solution to an exergy fuzzy nonlinear integer-programming (EFNIP). Moreover, the proposed metaheuristic algorithms are validated by using an exact method (by GAMS software) in small-size test problems. Finally, through a sensitivity analysis, this dissertation compares the effects of applying different percentages of exergy parameters (capital, labor, and environmental remediation) to coal SC models in each country. Using this approach, we can determine the best carbon reduction policy and exergy percentage that leads to the most sustainable performance (the lowest total exergy per Joule). The findings of this study may enhance the related research of sustainability assessment of SC as well as assist coal enterprises in making logical and measurable decisions
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