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Dr. Hyun Woo Kim
Department of Urban Policy and Administration, Incheon National University, Incheon (22009), Korea

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0 Green Infrastructure
0 Stormwater Management
0 Landscape metrics
0 Urban Flooding
0 Low-impact development

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Green Infrastructure
Stormwater Management

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Journal article
Published: 12 May 2021 in Sustainability
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Previous studies on commercial vacancy have mostly focused on the survival rate of commercial buildings over a certain time frame and the cause of their closure, due to a lack of appropriate data. Based on a time-series of 2,940,000 individual commercial facility data, the main purpose of this research is two-fold: (1) to examine long short-term memory (LSTM) as a feasible option for predicting trends in commercial districts and (2) to identify the influence of each variable on prediction results for establishing evidence-based decision-making on the primary influences of commercial vacancy. The results indicate that LSTM can be useful in simulating commercial vacancy dynamics. Furthermore, sales, floating population, and franchise rate were found to be the main determinants for commercial vacancy. The results suggest that it is imperative to control the cannibalization of commercial districts and develop their competitiveness to retain a consistent floating population.

ACS Style

Jaekyung Lee; Hyunwoo Kim; Hyungkyoo Kim. Commercial Vacancy Prediction Using LSTM Neural Networks. Sustainability 2021, 13, 5400 .

AMA Style

Jaekyung Lee, Hyunwoo Kim, Hyungkyoo Kim. Commercial Vacancy Prediction Using LSTM Neural Networks. Sustainability. 2021; 13 (10):5400.

Chicago/Turabian Style

Jaekyung Lee; Hyunwoo Kim; Hyungkyoo Kim. 2021. "Commercial Vacancy Prediction Using LSTM Neural Networks." Sustainability 13, no. 10: 5400.

Journal article
Published: 03 October 2020 in Environments
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The ability to rapidly produce accurate land use and land cover maps regularly and consistently has been a growing initiative as they have increasingly become an important tool in the efforts to evaluate, monitor, and conserve Earth’s natural resources. Algorithms for supervised classification of satellite images constitute a necessary tool for the building of these maps and they have made it possible to establish remote sensing as the most reliable means of map generation. In this paper, we compare three machine learning techniques: Random Forest, Support Vector Machines, and Light Gradient Boosted Machine, using a 70/30 training/testing evaluation model. Our research evaluates the accuracy of Light Gradient Boosted Machine models against the more classic and trusted Random Forest and Support Vector Machines when it comes to classifying land use and land cover over large geographic areas. We found that the Light Gradient Booted model is marginally more accurate with a 0.01 and 0.059 increase in the overall accuracy compared to Support Vector and Random Forests, respectively, but also performed around 25% quicker on average.

ACS Style

Dakota Aaron Mccarty; Hyun Woo Kim; Hye Kyung Lee. Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification. Environments 2020, 7, 84 .

AMA Style

Dakota Aaron Mccarty, Hyun Woo Kim, Hye Kyung Lee. Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification. Environments. 2020; 7 (10):84.

Chicago/Turabian Style

Dakota Aaron Mccarty; Hyun Woo Kim; Hye Kyung Lee. 2020. "Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification." Environments 7, no. 10: 84.

Journal article
Published: 25 August 2020 in Sustainability
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This study develops multiple evaluation indexes in the context of sustainable urban regeneration through introducing smart technologies/infrastructures and assesses 63 local urban regeneration strategic plans by using the content analysis method. A total of 107 indexes are developed based on the four aspects (economy, society and culture, environment, and livability) of sustainability. From our findings, the average plan quality score of 54 local governments’ plans is 17.5 out of 50, with the metropolitan governments’ plans averaging 16.8, which indicates that the plans currently sampled do not sufficiently reflect the basic concepts of sustainable and smart urban regeneration. The contents of most of the plans generally focus on specific sectors, such as society, culture, and housing, whereas smart technology-related information and policies are relatively deficient. Among the five plan components (factual bases, goals/objectives, policies/strategies, implementation, coordination) reviewed, the implementation component receives the highest score, while indicators related to action strategies are mentioned least often. In particular, the results reveal that indexes relating to the energy and transportation sectors are not frequently mentioned; as such, each municipality is recommended to work to increase awareness of smart technologies and policies. For urban regeneration projects to be sustainable, multi-faceted policies must be implemented by various stakeholders with a long-term perspective. The results of this study can be used as a base for local planners and decision-makers when adopting and supplementing existing regeneration plans, and can contribute to promoting more sustainable urban regeneration through actively adopting various smart technologies initiatives.

ACS Style

Hyun Kim; Dakota Aaron McCarty; Jaekyung Lee. Enhancing Sustainable Urban Regeneration through Smart Technologies: An Assessment of Local Urban Regeneration Strategic Plans in Korea. Sustainability 2020, 12, 6868 .

AMA Style

Hyun Kim, Dakota Aaron McCarty, Jaekyung Lee. Enhancing Sustainable Urban Regeneration through Smart Technologies: An Assessment of Local Urban Regeneration Strategic Plans in Korea. Sustainability. 2020; 12 (17):6868.

Chicago/Turabian Style

Hyun Kim; Dakota Aaron McCarty; Jaekyung Lee. 2020. "Enhancing Sustainable Urban Regeneration through Smart Technologies: An Assessment of Local Urban Regeneration Strategic Plans in Korea." Sustainability 12, no. 17: 6868.

Articles
Published: 09 April 2020 in International Journal of Urban Sciences
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As the popularity of New Urbanism has grown, local governments have attempted to translate New Urbanist planning components into planning policy forms. Through observation of comprehensive plans in 40 cities in Florida, this paper explores the extent to which New Urbanism principles are embedded in terms of factual basis, goals, tools, intergovernmental coordination, and implementation. The outcomes of this study indicate that (1) the total quality of the plans varies by city; (2) local governments are well aware of the importance of New Urbanism; (3) there are weak links between the evaluation categories of factual basis and goals; (4) goals and objectives are addressed most effectively; (5) diversity and equity are relatively less addressed; and (6) proactive tools (e.g. form-based codes, transect zoning, or urban growth boundaries) are limited. The outcomes of this study are expected to benefit cities and improve their future plans by allowing the effective integration of New Urbanism depending on their own priorities. Highlights

ACS Style

Yunmi Park; Hyun Woo Kim; Youngjun Kim. Reconciling New Urbanist plans: plan quality evaluation for cities in Florida, U.S. International Journal of Urban Sciences 2020, 24, 462 -484.

AMA Style

Yunmi Park, Hyun Woo Kim, Youngjun Kim. Reconciling New Urbanist plans: plan quality evaluation for cities in Florida, U.S. International Journal of Urban Sciences. 2020; 24 (4):462-484.

Chicago/Turabian Style

Yunmi Park; Hyun Woo Kim; Youngjun Kim. 2020. "Reconciling New Urbanist plans: plan quality evaluation for cities in Florida, U.S." International Journal of Urban Sciences 24, no. 4: 462-484.

Journal article
Published: 24 February 2020 in Urban Forestry & Urban Greening
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The environmental benefits of having retention/detention ponds as major stormwater management facilities in a neighborhood have been well documented since the adoption of green infrastructure strategies in early 1990s. However, the capitalization effect of stormwater treatment ponds in real estate values still remains unclear. This study developed classic hedonic pricing and spatial econometric models to examine the capitalization effects of neighborhood-level detention and retention ponds using both cross-sectional and longitudinal housing prices. The housing market value from 2007 to 2016 was assessed in four subdivisions in Houston, Texas. A subdivision, located in the upper neighborhood, had retention ponds which were converted from detention ponds in 2011, while three subdivisions in the lower neighborhood had detention ponds over the same study period. The study results show that living near retention ponds has positive capitalization impacts on single-family housing prices, not only cross-sectionally but also longitudinally. In contrast, maintaining detention ponds depreciates housing values, and living nearby lowers the price increase over a decade. The findings in this study imply the importance of converting stormwater facilities into a park-like amenity to enhance aesthetic value and generate long-term economic benefits to a neighborhood.

ACS Style

Wonmin Sohn; Hyun Woo Kim; Jun-Hyun Kim; Ming-Han Li. The capitalized amenity of green infrastructure in single-family housing values: An application of the spatial hedonic pricing method. Urban Forestry & Urban Greening 2020, 49, 126643 .

AMA Style

Wonmin Sohn, Hyun Woo Kim, Jun-Hyun Kim, Ming-Han Li. The capitalized amenity of green infrastructure in single-family housing values: An application of the spatial hedonic pricing method. Urban Forestry & Urban Greening. 2020; 49 ():126643.

Chicago/Turabian Style

Wonmin Sohn; Hyun Woo Kim; Jun-Hyun Kim; Ming-Han Li. 2020. "The capitalized amenity of green infrastructure in single-family housing values: An application of the spatial hedonic pricing method." Urban Forestry & Urban Greening 49, no. : 126643.

Journal article
Published: 11 September 2019 in Sustainability
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Vacant and/or abandoned properties exist in every city regardless of whether they are growing or shrinking, and the properties are not always a bad thing, and all underutilized land does not have to be developed. Some types of vacant land are unused but can be productive. Some may have natural resource value for inhabitants and provide green space such as parks space or green infrastructure. Once a city has too much vacant land, it may reflect a long cycle of depopulation and economic downturn. So, a lot of vacant lots is of concern in shrinking cities to change them into a valued commodity. In contrast, insufficient vacant land might hinder future growth and development. Since the vacant land can be a potential opportunity or threat to spur economic development, it is critical to understand vacancy pattern and its drivers and create appropriate policies for each city. By doing so, it would be possible to find the most effective land supply usage for cities having different characteristics and patterns of vacancy. Therefore, this study compares the pattern primary factors of vacancy of a growing city, Fort Worth and shrinking city, Chicago and evaluate whether each city has established planning policies for reducing negative effects and increasing efficient usages. The findings show that transportation and physical factors are strong determinants of the vacancy in a shrinking city, while socioeconomic conditions tend to influence more powerful on increasing vacant properties in a growing city. Furthermore, the outcomes of plan evaluation indicate that the vacancy pattern and its primary factors are grasped and handled firmly in Fort Worth.

ACS Style

Jaekyung Lee; Yunmi Park; Hyun Woo Kim. Evaluation of Local Comprehensive Plans to Vacancy Issue in a Growing and Shrinking City. Sustainability 2019, 11, 4966 .

AMA Style

Jaekyung Lee, Yunmi Park, Hyun Woo Kim. Evaluation of Local Comprehensive Plans to Vacancy Issue in a Growing and Shrinking City. Sustainability. 2019; 11 (18):4966.

Chicago/Turabian Style

Jaekyung Lee; Yunmi Park; Hyun Woo Kim. 2019. "Evaluation of Local Comprehensive Plans to Vacancy Issue in a Growing and Shrinking City." Sustainability 11, no. 18: 4966.

Journal article
Published: 11 November 2018 in Sustainability
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The benefits of green infrastructure have been verified at the site-level by many empirical studies. However, there is limited understanding of how local governments prepare and implement green infrastructure planning in practice. This study employs the content analysis method to examine the quality of local comprehensive plans regarding sustainable green infrastructure in 60 municipalities of the United States. The study uses regression analysis to explain the variance of plan quality. Study results indicate that key green infrastructure principles were not fully incorporated in the existing sampled plans, with average score of 19.6 out of 50. While plan quality scores were slightly higher in counties than in cities, both areas could significantly improve plan quality with detailed policies, action strategies, and implementation tactics for green infrastructure planning and management. Regression analysis further identified that planning capacities, as well as socio-economic characteristics of study area may impact overall plan quality. The findings of this study demonstrate the importance of incorporating detailed green infrastructure principles whenever local planners adopt or amend regional plans in order to improve plan quality and to support implementation.

ACS Style

Hyun Woo Kim; Tho Tran. An Evaluation of Local Comprehensive Plans Toward Sustainable Green Infrastructure in US. Sustainability 2018, 10, 4143 .

AMA Style

Hyun Woo Kim, Tho Tran. An Evaluation of Local Comprehensive Plans Toward Sustainable Green Infrastructure in US. Sustainability. 2018; 10 (11):4143.

Chicago/Turabian Style

Hyun Woo Kim; Tho Tran. 2018. "An Evaluation of Local Comprehensive Plans Toward Sustainable Green Infrastructure in US." Sustainability 10, no. 11: 4143.

Journal article
Published: 10 November 2016 in Journal of Environmental Planning and Management
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ACS Style

Hyun Woo Kim; Ming-Han Li. Managing stormwater for urban sustainability: an evaluation of local comprehensive plans in the Chesapeake Bay watershed region. Journal of Environmental Planning and Management 2016, 60, 1702 -1725.

AMA Style

Hyun Woo Kim, Ming-Han Li. Managing stormwater for urban sustainability: an evaluation of local comprehensive plans in the Chesapeake Bay watershed region. Journal of Environmental Planning and Management. 2016; 60 (10):1702-1725.

Chicago/Turabian Style

Hyun Woo Kim; Ming-Han Li. 2016. "Managing stormwater for urban sustainability: an evaluation of local comprehensive plans in the Chesapeake Bay watershed region." Journal of Environmental Planning and Management 60, no. 10: 1702-1725.

Journal article
Published: 31 August 2016 in Sustainability
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The Chesapeake Bay, the largest estuary in the United States, is rich in natural resources. Its watershed has been impacted by excessive and degraded stormwater runoff from rapid urbanization. We used an empirical approach to investigate how local planning capacity in the Chesapeake Bay watershed affected stream flow. A multiple regression analysis was employed to examine to what extent that the planning factors and other contextual variables were associated with peak runoff. Counterintuitively, we found that sub-basins included in the sample jurisdictions with a relatively high plan quality score tend to generate higher volumes of peak runoff. Results further indicate that specific geographical, basin characteristic, and biophysical factors affected mean annual peak runoff significantly. Overall, our findings highlight the importance of local planning capacity and sustainable stormwater management concepts in mitigating excessive runoff.

ACS Style

Hyun Woo Kim; Ming-Han Li. Sustainable Stormwater Management: Examining the Role of Local Planning Capacity in Mitigating Peak Surface Runoff. Sustainability 2016, 8, 763 .

AMA Style

Hyun Woo Kim, Ming-Han Li. Sustainable Stormwater Management: Examining the Role of Local Planning Capacity in Mitigating Peak Surface Runoff. Sustainability. 2016; 8 (9):763.

Chicago/Turabian Style

Hyun Woo Kim; Ming-Han Li. 2016. "Sustainable Stormwater Management: Examining the Role of Local Planning Capacity in Mitigating Peak Surface Runoff." Sustainability 8, no. 9: 763.

Articles
Published: 27 August 2015 in International Journal of Water Resources Development
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This study addresses the applicability and financial feasibility of residential rainwater harvesting systems in the city of Austin, Texas. A cost-benefit analysis is used to estimate the financial return for individual households with rainwater harvesting systems. In addition, a subsidy value that could be provided by the delay of a wastewater treatment plant expansion project is investigated. The findings suggest that a residential rainwater harvesting system would not be feasible without a sufficient subsidy. The estimated subsidy is also not enough to make the cost of the harvesting system effective; however, its multi-purpose benefits are not quantified.

ACS Style

Hyun Woo Kim; Ming-Han Li; Hyun Kim; Hye Kyung Lee. Cost-benefit analysis and equitable cost allocation for a residential rainwater harvesting system in the city of Austin, Texas. International Journal of Water Resources Development 2015, 32, 1 -16.

AMA Style

Hyun Woo Kim, Ming-Han Li, Hyun Kim, Hye Kyung Lee. Cost-benefit analysis and equitable cost allocation for a residential rainwater harvesting system in the city of Austin, Texas. International Journal of Water Resources Development. 2015; 32 (5):1-16.

Chicago/Turabian Style

Hyun Woo Kim; Ming-Han Li; Hyun Kim; Hye Kyung Lee. 2015. "Cost-benefit analysis and equitable cost allocation for a residential rainwater harvesting system in the city of Austin, Texas." International Journal of Water Resources Development 32, no. 5: 1-16.