This page has only limited features, please log in for full access.
The State of Illinois is examining prospects to increase the development of in-state renewable energy resources on public lands. In response, this research develops a scalable decision-support tool for identifying suitable areas for solar energy generation in the state. This paper provides guidance for state agency-driven solar development by evaluating the suitability of potential generation areas in terms of environmental impact, socioeconomic costs, and energy productivity, and providing a forum for critical decision-making. More specifically, geospatial technologies are combined with a suitability analysis to reveal the potential for solar energy generation on public lands. This study demonstrates the usefulness of the resulting information for supporting both regional and local decision-making as a Planning Support System (PSS). Our analysis suggests that the large-scale analysis using fine resolution data is useful for comparison and site-specific decision making - with site verification protocols in terms of physical implementation. We find that planning decisions for solar development should use a fine-grained suitability approach at a large scale and a feasibility analysis at a specific scale. We present our findings in statewide application along with a scalable PSS tool to optimize and support solar decision-making process and democratize the information for engaging a broader audience.
YoonShin Kwak; Brian Deal; Tom Heavisides. A large scale multi criteria suitability analysis for identifying solar development potential: A decision support approach for the state of Illinois, USA. Renewable Energy 2021, 177, 554 -567.
AMA StyleYoonShin Kwak, Brian Deal, Tom Heavisides. A large scale multi criteria suitability analysis for identifying solar development potential: A decision support approach for the state of Illinois, USA. Renewable Energy. 2021; 177 ():554-567.
Chicago/Turabian StyleYoonShin Kwak; Brian Deal; Tom Heavisides. 2021. "A large scale multi criteria suitability analysis for identifying solar development potential: A decision support approach for the state of Illinois, USA." Renewable Energy 177, no. : 554-567.
Given that evolving urban systems require ever more sophisticated and creative solutions to deal with uncertainty, designing for resilience in contemporary landscape architecture represents a cross-disciplinary endeavor. While there is a breadth of research on landscape resilience within the academy, the findings of this research are seldom making their way into physical practice. There are existent gaps between the objective, scientific method of scientists and the more intuitive qualitative language of designers and practitioners. The purpose of this paper is to help bridge these gaps and ultimately support an endemic process for more resilient landscape design creation. This paper proposes a framework that integrates analytic research (i.e., modeling and examination) and design creation (i.e., place-making) using processes that incorporate feedback to help adaptively achieve resilient design solutions. Concepts of Geodesign and Planning Support Systems (PSSs) are adapted as part of the framework to emphasize the importance of modeling, assessment, and quantification as part of processes for generating information useful to designers. This paper tests the suggested framework by conducting a pilot study using a coupled sociohydrological model. The relationships between runoff and associated design factors are examined. Questions on how analytic outcomes can be translated into information for landscape design are addressed along with some ideas on how key variables in the model can be translated into useful design information. The framework and pilot study support the notion that the creation of resilient communities would be greatly enhanced by having a navigable bridge between science and practice.
YoonShin Kwak; Brian Deal; Grant Mosey. Landscape Design toward Urban Resilience: Bridging Science and Physical Design Coupling Sociohydrological Modeling and Design Process. Sustainability 2021, 13, 4666 .
AMA StyleYoonShin Kwak, Brian Deal, Grant Mosey. Landscape Design toward Urban Resilience: Bridging Science and Physical Design Coupling Sociohydrological Modeling and Design Process. Sustainability. 2021; 13 (9):4666.
Chicago/Turabian StyleYoonShin Kwak; Brian Deal; Grant Mosey. 2021. "Landscape Design toward Urban Resilience: Bridging Science and Physical Design Coupling Sociohydrological Modeling and Design Process." Sustainability 13, no. 9: 4666.
Planning support systems (PSSs) should generally be designed to promote the participation of stakeholders in planning and design processes through the delivery of useful, localized information, an ability to collect feedback, and an ability to model and test various ‘what-if’ scenarios. This paper focuses on such a PSS tool. The tool integrates the Land-use Evolution and Assessment Model (LEAM) with a Regional Economic Input-Output Model (REIM) in a tightly coupled computational process made accessible to stakeholders through a web-based PSS. The integrated tool allows for users to easily navigate the models and test land use and economic scenarios without expert assistance. It also keeps simulations updated with dynamic inputs and engages users in PSS development and application through responsive feedback to enhance plan-making abilities. In this paper, we demonstrate an application of the LEAM-REIM PSS in Sangamon County, Illinois. The application demonstrates an ability to provide more efficacious and detailed land use estimations through the connection of economic and land-use models, allowing users to easily engage with, navigate, and respond to scenario tests. We discuss the PSS tool, model integration approach, and detailed application to assess its usefulness in urban planning and design. We also propose some opportunities for further research.
Si Chen; YoonShin Kwak; Le Zhang; Grant Mosey; Brian Deal. Tightly Coupling Input Output Economics with Spatio-Temporal Land Use in a Dynamic Planning Support System Framework. Land 2021, 10, 78 .
AMA StyleSi Chen, YoonShin Kwak, Le Zhang, Grant Mosey, Brian Deal. Tightly Coupling Input Output Economics with Spatio-Temporal Land Use in a Dynamic Planning Support System Framework. Land. 2021; 10 (1):78.
Chicago/Turabian StyleSi Chen; YoonShin Kwak; Le Zhang; Grant Mosey; Brian Deal. 2021. "Tightly Coupling Input Output Economics with Spatio-Temporal Land Use in a Dynamic Planning Support System Framework." Land 10, no. 1: 78.
UHI is an important measure for understanding the urban landscape, especially in terms of thermal agglomeration and disturbance. This research aims to discern the success of sustainability planning by examining and comparing the different characteristics of UHIs through the combination of machine learning and statistical methods. To achieve this, we analyze 4 new towns in Korea, which include two ‘old’ new towns and two ‘recent’ new towns. The key difference between our test towns lies on whether or not the sustainability policies were applied to their development plans. We visualize LST and conduct a k-mean clustering to find and quantify spatial patterning in the resulting UHI measures. We then compare the statistical relations between LST and 6 UHI driven variables across the towns. Using comparative analysis, this research reveals that sustainable development policies have a notable effect on the patterns and intensities of UHI. Urban structures, planned under development policies, including green and blue space ratios, road networks, and housing distributions, were found to affect UHI significantly. We quantifiably confirm that the sustainability policies implemented in planning the ‘recent’ new towns allow the towns to experience less aggravated UHIs than the ‘old’ new towns. However, we also claim a need to develop appropriate, long-term UHI management regulations for the ‘recent’ new towns. This paper provides a solid basis for improving Korean new town planning and managing the environmental issues in urban systems for planners, designers, and decision-makers to establish the sustainable built environment.
YoonShin Kwak; Chan Park; Brian Deal. Discerning the success of sustainable planning: A comparative analysis of urban heat island dynamics in Korean new towns. Sustainable Cities and Society 2020, 61, 102341 .
AMA StyleYoonShin Kwak, Chan Park, Brian Deal. Discerning the success of sustainable planning: A comparative analysis of urban heat island dynamics in Korean new towns. Sustainable Cities and Society. 2020; 61 ():102341.
Chicago/Turabian StyleYoonShin Kwak; Chan Park; Brian Deal. 2020. "Discerning the success of sustainable planning: A comparative analysis of urban heat island dynamics in Korean new towns." Sustainable Cities and Society 61, no. : 102341.