The Perceptions and Use of Urban Neighborhood Parks Since the Outbreak of COVID-19: A Case Study in South Korea
■ Abstract :
As the COVID-19 pandemic continues, the stress of city dwellers is increasing, and some adapt to the pandemic by pursuing physical and psychological well-being in neighborhood parks. To improve the resilience of the social-ecological system against COVID-19, it is important to understand the mechanism of adaptation by examining the perception and use of neighborhood parks.
The purpose of this study is to investigate users’ perceptions and use of urban neighborhood parks since the outbreak of COVID-19 in South Korea using systems thinking. To verify the hypotheses about the relationship between variables involved in COVID-19 adaptive feedback, two research objectives were set. First, this study determined the causal structure leading to park visits using
systems thinking. Second, the relationship between stress, motivation, and the frequency of visits to neighborhood parks was empirically verified. To conduct the research, the system of use and perceptions of parks were analyzed through a causal loop diagram to determine the feedback between psychological variables. Then, a survey was conducted to verify the relationship between stress, motivation for visits, and visit frequency, which are the major variables derived from the causal structure. A total of three feedback loops were derived in the first step, including a loop in which COVID-19 stress was relieved by visits to parks and a loop in which COVID-19 stress worsened due to crowding in parks. Finally, the relationship of stress leading to park visits was con-
firmed, and the empirical analysis showed that anger about contagion and social disconnection were linked as motives for park visits, and that park visits were mainly motivated by the desire to go out. The neighborhood park functions as an adaptive space for the stress of COVID-19 and will maintain its role as social distancing becomes more important to various socio-ecological changes. The strategies driven by the pandemic can be adapted in park planning to recover from stress and improve resilience.
Nature-Based Restoration Simulation for Disaster-Prone Coastal Area Using Green Infrastructure Effect
■ Abstract :
Floods in coastal areas are caused by a range of complex factors such as typhoons and heavy rainfall, and this issue has become increasingly serious as interference has occurred in the social-ecological system in recent years. Given the structural limitations and high maintenance costs of the existing gray infrastructure, the need for a nature-based restoration plan utilizing green infrastructure has been raised. The purpose of this study is to simulate the restoration process through the quantification of green infrastructure effects along with resilience in disaster-prone coastal areas, and to present it as nature-based restoration planning. For this purpose, first, a disaster-prone area was derived from Haeundae-gu, Busan, Republic of Korea, which was affected by typhoons. In order to simulate the runoff from typhoon “Chaba” in the target area and the effects of reducing the runoff of green infrastructure, relevant data was collected and a model constructed. Finally, the effects of the green infrastructure as applied to the disaster-prone area were quantified by means of resilience and a nature-based restoration plan was presented. As a result of this study, first, the runoff reduction effect was greatest when the maximum biotope area ratio of 30% was applied to the artificial ground. In the case of the green roof, the effect was the greatest 6 h following the typhoon passing through, and the effects of the infiltration storage facility was greater 9 h following the same. Porous pavement exhibited the lowest runoff reduction effect. In terms of resilience, it was found that the system was restored to its original state after the biotope area ratio of 20% was applied. This study is significant in that it analyzes the effects of green infrastructure based upon the concept of resilience and connects them to nature-based restoration planning. Based on this, it will be provided as an important tool for planning policy management to effectively respond to future coastal disasters.
Strategies for Improving Livelihood Services in Rural Areas using System Thinking
■ Abstract :
Population movement due to urbanization, deterioration of infrastructure, and environmental pollution has led to the decline of rural areas, which has resulted in a decrease in the living services available to rural residents. However, infrastructure expansion centered on development projects and policy alternatives centered on subsidy provision showed limitations in that they did not recognize the complex structural decline in rural areas. Therefore, the purpose of this study is to suggest rural living service improving strategies by policies such as industrial restructuring, securing rural landscape competitiveness, and providing living services, through structural analysis of the decline in rural areas and decreases of living services. As a result of this study, first, the archetypes of “success to successful” and “fixes that fail” were substituted for the phenomenon of decline in rural areas. The increase in population flowing into urban area and the intensification of growth led to a decrease in population in rural areas and aggravation of the decline. The policy of expanding jobs and subsidies to suggest solutions for rural decline leads to rural sprawling development from a long-term perspective, resulting in continued rural decline. Second, based on the archetype, the structure of the system in which living services in rural areas decreased in terms of finances, infrastructure, and accessibility was analyzed. Based on this analysis, we recommend a strategy to continuously provide living services to rural residents by preventing population outflow, supplying living services according to the needs of local residents, and improving accessibility to transportation services. The results of this study are meaningful in that they provide a direction for rural regeneration policies based on a structural analysis of the decline of rural areas.
■ Keywords :
Declined Rural Area, Rural Regeneration, Living Service, System Thinking, Rural landscape
■ Publication date : 2022.12
■ Journal : Journal of recreation and landscape
■ DOI : https://doi.org/10.51549/JORAL.2022.16.4.013
Modeling the resilient supply of ecosystem function for climate change adaptive management in Wetland City
■ Abstract :
Rapid urbanization causes wetland ecosystem functions to degrade worldwide. This phenomenon negatively affects the resilience of ecosystem functions in the face of unexpected impacts, particularly climate change. An approach is required for combining resilience with management in a Wetland City. This study aims to model the resilience of ecosystem functions for climate change adaptation management in a Wetland City via system dynamics from 2021 to 2100. First, we set a system boundary through expert interviews to identify the main issues in the social-ecological system of a Wetland City. Second, we constructed a social-ecological system of a Wetland City that provides ecosystem function trade-offs between flood control and wildlife habitat provisioning. Then, we simulated the resilience of ecosystem functions according to different climate change adaptative management scenarios. Finally, we determined an appropriate scenario for minimizing the impacts of ecosystem function trade-offs reinforced by climate change. As a result, we recommend that the water level should be managed such that the controlled flood water level ranges from 12 to 14 m and that 30% of the willow areas should be thinned each year. Based on these simulation results, we proposed three climate change adaptive management strategies: considering long-term plans including short-term effects, networking with multiscale community participation, and applying sustainable wetland management to urban planning. Ultimately, this study can contribute to planning and management guidelines for a Wetland City.
■ Keywords :
System dynamics, Social-ecological system, Willow vegetation, Flood control, Wildlife habitats, Ecosystem function trade-offs
A Study on Research Trends in Landscape Construction Using Text-mining Analysis
■ Abstract :
This study aimed to derive research trends related to the landscape construction field from various academic journals published in Korea from 1980 to 2022 by using text mining techniques. Research trends were analyzed through VOSviewer, the big data analysis program, and focused on keywords for landscape construction. As a result, first, a total of 226 research papers related to landscape construction showed a gradual increase by an average annual average of 5.8. This is caused by the increase landscaping- related various academic journals since the 1980s, and the increase in research opportunities on landscape construction, methods of construction, and materials due to the expansion of the landscape industry. Second, as a result of analyzing co-occurrence keywords related to landscape construction, it appeared in the order of Plant, Management, Improvement, Species, etc. In addition, as a result of network analysis, it was classified into four research clusters: (1) Post-management and Function improvement, (2) Plant and Plant growth environment, (3) Space and Usability, and (4) Constructability and Economy. Third, as a result of analyzing the field of landscape construction based on the passage of time, the research trend of the field of landscape construction tends to embrace various topics. However, in the future, research on landscaping construction and maintenance smart technology in the era of the 4th industrial revolution, as well as the development of materials and construction methods considering climate change, will be more necessary. This study is meaningful in that it analyzed the research trend related to the landscape construction field in detail through bibliographic analysis for the first time in Korea. In addition, it is meaningful as fundamental data for deriving the developmental research direction in the landscape construction field in consideration of the social paradigm and technological trends changing in the landscape architecture industry.
Derivation of Green Infrastructure Planning Factors for Reducing Particulate Matter - Using Text Mining -
■ Abstract :
Green infrastructure planning represents landscape planning measures to reduce particulate matter. This study aimed to derive factors that may be used in planning green infrastructure for particulate matter reduction using text mining techniques. A range of analyses were carried out by focusing on keywords such as ‘particulate matter reduction plan’ and ‘green infrastructure planning elements’. The analyses included Term Frequency-Inverse Document Frequency (TF-IDF) analysis, centrality analysis, related word analysis, and topic modeling analysis. These analyses were carried out via text mining by collecting information on previous related research, policy reports, and laws. Initially, TF-IDF analysis results were used to classify major keywords relating to particulate matter and green infrastructure into three groups: (1) environmental issues (e.g., particulate matter, environment, carbon, and atmosphere), target spaces (e.g., urban, park, and local green space), and application methods (e.g., analysis, planning, evaluation, development, ecological aspect, policy management, technology, and resilience). Second, the centrality analysis results were found to be similar to those of TF-IDF; it was confirmed that the central connectors to the major keywords were ‘Green New Deal’ and ‘Vacant land’. The results from the analysis of related words verified that planning green infrastructure for particulate matter reduction required planning forests and ventilation corridors. Additionally, moisture must be considered for microclimate control. It was also confirmed that utilizing vacant space, establishing mixed forests, introducing particulate matter reduction technology, and understanding the system may be important for the effective planning of green infrastructure. Topic analysis was used to classify the planning elements of green infrastructure based on ecological, technological, and social functions. The planning elements of ecological function were classified into morphological (e.g., urban forest, green space, wall greening) and functional aspects (e.g., climate control, carbon storage and absorption, provision of habitats, and biodiversity for wildlife). The planning elements of technical function were classified into various themes, including the disaster prevention functions of green infrastructure, buffer effects, stormwater management, water purification, and energy reduction. The planning elements of the social function were classified into themes such as community function, improving the health of users, and scenery improvement. These results suggest that green infrastructure planning for particulate matter reduction requires approaches related to key concepts, such as resilience and sustainability. In particular, there is a need to apply green infrastructure planning elements in order to reduce exposure to particulate matter.
■ Keywords :
Ecosystem Service; Green New Deal; Big Data; Social Disaster; Environmental Disaster
■ Publication date : 2021.10
■ Journal : Journal of the Korean Institute of Landscape Architecture
Forest management can mitigate negative impacts of climate and land-use change on plant biodiversity: Insights from the Republic of Korea
■ Abstract :
Over the past century, the decline in biodiversity due to climate change and habitat loss has become unprecedentedly serious. Multiple drivers, including climate change, land-use/cover change, and qualitative change in habitat need to be considered in an integrated approach, which has rarely been taken, to create an effective conservation strategy. The purpose of this study is to quantitatively evaluate and map the combined impacts of those multiple drivers on biodiversity in the Republic of Korea (ROK). To this end, biodiversity persistence (BP) was simulated by employing generalized dissimilarity modeling with estimates of habitat conditions. Habitat Condition Index was newly developed based on national survey datasets to represent the changes in habitat quality according to the land cover changes and forest management, especially after the ROK's National Reforestation Programme. The changes in habitat conditions were simulated for a period ranging from the 1960s to the 2010s; additionally, future (2050s) spatial scenarios were constructed. By focusing on the changes in forest habitat quality along with climate and land use, this study quantitatively and spatially analyzed the changes in BP over time and presented the effects of reforestation and forest management. The results revealed that continuous forest management had a positive impact on BP by offsetting the negative effects of past urbanization. Improvements in forest habitat quality also can effectively reduce the negative impacts of climate change. This quantitative analysis of successful forest restoration in Korea proved that economic development and urbanization could be in parallel with biodiversity enhancement. Nevertheless, current forest management practices were found to be insufficient in fully offsetting the decline in future BP caused by climate change. This indicates that there is a need for additional measures along with mitigation of climate change to maintain the current biodiversity level.
■ Keywords :
Biodiversity persistence, Climate change, Laud-use change, Forest management, Republic of Korea
Planning a Green Infrastructure Network to Integrate Potential Evacuation Routes and the Urban Green Space in a Coastal City: The Case Study of Haeundae District, Busan, South Korea
■ Abstract :
Coastal cities face increasing natural disaster risks. Developing a green infrastructure network can reduce coastal vulnerability by connecting green spaces. Only a few researchers have examined practical guidelines for a green infrastructure network in coastal cities. Therefore, the purpose of this study is to build a green infrastructure network by integrating potential evacuation routes and green spaces in a coastal city. The Haeundae District in South Korea was chosen as the study site. We constructed a green infrastructure network using space syntax and GIS network analysis. The results of this study showed that first, we created an integrated green infrastructure network by building evacuation route networks and urban ecological networks. Second, we evaluated the evacuation function and flood risk. Finally, we proposed green infrastructure network planning for coastal disasters, including hub and corridor design. This study can contribute to establishing strategies to reduce vulnerability in coastal cities.
■ Keywords :
Coastal urban area; Disaster prevention park; Green infrastructure; Greenway; Least-cost path analysis; Natural disaster; Space syntax.
Stormwater runoff reduction simulation model for urban flood restoration in coastal area
■ Abstract :
Urban floods caused by expanding impervious areas due to urban development and short-term heavy precipitation adversely affect many coastal cities. Notably, Seoul, one of the coastal cities that experiences acute urban floods, suffers annually from urban floods during the rainfall season. Consequently, to mitigate the impacts of urban floods in Seoul, we established flood-vulnerable areas as target areas where green infrastructure planning was applied using the Stormwater Runoff Reduction Module (SRRM). We selected the Gangdong, Gangbuk, and Dobong districts in Seoul, Korea, all of which demonstrate high flood vulnerability. Analyses in reducing the runoff amount and peak time delay effect were estimated by model simulation using the SRRM. The reduction in peak discharge for the whole area occurred in the following order: Gangdong district, then Gangbuk district, and lastly Dobong district. In contrast, the reduction in peak discharge per unit area was most prominent in Gangbuk district, followed by Dobong and Gangdong districts. However, the delay effect was almost identical in all target areas. Based on the simulation results in this study, we planned green infrastructure, including green roofs, infiltration storage facilities, and porous pavement. We believe that the results of this study can significantly enhance the efficiency of urban flood restoration and green infrastructure planning in coastal cities.
■ Keywords :
Green infrastructure, System dynamics, Urban flood restoration, Flood vulnerability, Peak discharge
How Can Apartment-Complex Landscaping Space Improve Residents’ Psychological Well-Being?: The Case of the Capital Region in South Korea
■ Abstract :
Urban green spaces have a positive impact on citizens’ mental health and have contributed to improving their quality of life during the COVID-19 pandemic. In South Korea, where more than 50% of all households live in apartments, apartment-complex landscaping space plays the role of urban green space. This study aimed to investigate the relationships among a perceived restorative environment, restorative experience, life satisfaction, and psychological well-being by conducting a survey between residents living in apartments with landscape space. More specifically, an online survey was conducted from 8 to 15 June 2021 among residents in apartment complexes (500 households or more) located in the capital region in South Korea. We applied partial least squares structural equation modelling (PLS-SEM) using 220 samples to test the causal relationship presented in the conceptual model of this study. The results revealed that residents’ perceptions of the restorative environment of landscape space, including fascination, being away, and coherence had positive effects on restorative attention. Among the restorative environmental factors, the higher the “being away”, the greater the effect on restorative attention. Second, the effects of fascination and coherence on life satisfaction were mediated by restorative attention. Third, restorative attention and life satisfaction significantly influenced psychological well-being. Additionally, life satisfaction acts as a mediator in the relationship between restorative attention and psychological well-being. In summary, this study has theoretical implications, in that it explores the effects of apartment complex landscaping space as urban green spaces on residents’ mental health.
■ Title :
The Perceptions and Use of Urban Neighborhood Parks Since the Outbreak of COVID-19: A Case Study in South Korea
■ Abstract :
As the COVID-19 pandemic continues, the stress of city dwellers is increasing, and some adapt to the pandemic by pursuing physical and psychological well-being in neighborhood parks. To improve the resilience of the social-ecological system against COVID-19, it is important to understand the mechanism of adaptation by examining the perception and use of neighborhood parks.
The purpose of this study is to investigate users’ perceptions and use of urban neighborhood parks since the outbreak of COVID-19 in South Korea using systems thinking. To verify the hypotheses about the relationship between variables involved in COVID-19 adaptive feedback, two research objectives were set. First, this study determined the causal structure leading to park visits using
systems thinking. Second, the relationship between stress, motivation, and the frequency of visits to neighborhood parks was empirically verified. To conduct the research, the system of use and perceptions of parks were analyzed through a causal loop diagram to determine the feedback between psychological variables. Then, a survey was conducted to verify the relationship between stress, motivation for visits, and visit frequency, which are the major variables derived from the causal structure. A total of three feedback loops were derived in the first step, including a loop in which COVID-19 stress was relieved by visits to parks and a loop in which COVID-19 stress worsened due to crowding in parks. Finally, the relationship of stress leading to park visits was con-
firmed, and the empirical analysis showed that anger about contagion and social disconnection were linked as motives for park visits, and that park visits were mainly motivated by the desire to go out. The neighborhood park functions as an adaptive space for the stress of COVID-19 and will maintain its role as social distancing becomes more important to various socio-ecological changes. The strategies driven by the pandemic can be adapted in park planning to recover from stress and improve resilience.
■ Keywords :
COVID-19; stress; urban parks; motivation; causal loop diagram
■ Publication date : 2023.02
■ Journal : International Journal of Environmental Research and Public Health
■ DOI : https://doi.org/10.3390/ijerph20054259
■ Title :
Nature-Based Restoration Simulation for Disaster-Prone Coastal Area Using Green Infrastructure Effect
■ Abstract :
Floods in coastal areas are caused by a range of complex factors such as typhoons and heavy rainfall, and this issue has become increasingly serious as interference has occurred in the social-ecological system in recent years. Given the structural limitations and high maintenance costs of the existing gray infrastructure, the need for a nature-based restoration plan utilizing green infrastructure has been raised. The purpose of this study is to simulate the restoration process through the quantification of green infrastructure effects along with resilience in disaster-prone coastal areas, and to present it as nature-based restoration planning. For this purpose, first, a disaster-prone area was derived from Haeundae-gu, Busan, Republic of Korea, which was affected by typhoons. In order to simulate the runoff from typhoon “Chaba” in the target area and the effects of reducing the runoff of green infrastructure, relevant data was collected and a model constructed. Finally, the effects of the green infrastructure as applied to the disaster-prone area were quantified by means of resilience and a nature-based restoration plan was presented. As a result of this study, first, the runoff reduction effect was greatest when the maximum biotope area ratio of 30% was applied to the artificial ground. In the case of the green roof, the effect was the greatest 6 h following the typhoon passing through, and the effects of the infiltration storage facility was greater 9 h following the same. Porous pavement exhibited the lowest runoff reduction effect. In terms of resilience, it was found that the system was restored to its original state after the biotope area ratio of 20% was applied. This study is significant in that it analyzes the effects of green infrastructure based upon the concept of resilience and connects them to nature-based restoration planning. Based on this, it will be provided as an important tool for planning policy management to effectively respond to future coastal disasters.
■ Keywords :
nature-based solutions; coastal resilience; restoration planning; simulation modelling
■ Publication date : 2023.02
■ Journal : International Journal of Environmental Research and Public Health
■ DOI : https://doi.org/10.3390/ijerph20043096
■ Title :
시스템 사고를 활용한 농촌지역의 생활서비스 향상 전략
Strategies for Improving Livelihood Services in Rural Areas using System Thinking
■ Abstract :
Population movement due to urbanization, deterioration of infrastructure, and environmental pollution has led to the decline of rural areas, which has resulted in a decrease in the living services available to rural residents. However, infrastructure expansion centered on development projects and policy alternatives centered on subsidy provision showed limitations in that they did not recognize the complex structural decline in rural areas. Therefore, the purpose of this study is to suggest rural living service improving strategies by policies such as industrial restructuring, securing rural landscape competitiveness, and providing living services, through structural analysis of the decline in rural areas and decreases of living services. As a result of this study, first, the archetypes of “success to successful” and “fixes that fail” were substituted for the phenomenon of decline in rural areas. The increase in population flowing into urban area and the intensification of growth led to a decrease in population in rural areas and aggravation of the decline. The policy of expanding jobs and subsidies to suggest solutions for rural decline leads to rural sprawling development from a long-term perspective, resulting in continued rural decline. Second, based on the archetype, the structure of the system in which living services in rural areas decreased in terms of finances, infrastructure, and accessibility was analyzed. Based on this analysis, we recommend a strategy to continuously provide living services to rural residents by preventing population outflow, supplying living services according to the needs of local residents, and improving accessibility to transportation services. The results of this study are meaningful in that they provide a direction for rural regeneration policies based on a structural analysis of the decline of rural areas.
■ Keywords :
Declined Rural Area, Rural Regeneration, Living Service, System Thinking, Rural landscape
■ Publication date : 2022.12
■ Journal : Journal of recreation and landscape
■ DOI : https://doi.org/10.51549/JORAL.2022.16.4.013
■ Title :
Modeling the resilient supply of ecosystem function for climate change adaptive management in Wetland City
■ Abstract :
Rapid urbanization causes wetland ecosystem functions to degrade worldwide. This phenomenon negatively affects the resilience of ecosystem functions in the face of unexpected impacts, particularly climate change. An approach is required for combining resilience with management in a Wetland City. This study aims to model the resilience of ecosystem functions for climate change adaptation management in a Wetland City via system dynamics from 2021 to 2100. First, we set a system boundary through expert interviews to identify the main issues in the social-ecological system of a Wetland City. Second, we constructed a social-ecological system of a Wetland City that provides ecosystem function trade-offs between flood control and wildlife habitat provisioning. Then, we simulated the resilience of ecosystem functions according to different climate change adaptative management scenarios. Finally, we determined an appropriate scenario for minimizing the impacts of ecosystem function trade-offs reinforced by climate change. As a result, we recommend that the water level should be managed such that the controlled flood water level ranges from 12 to 14 m and that 30% of the willow areas should be thinned each year. Based on these simulation results, we proposed three climate change adaptive management strategies: considering long-term plans including short-term effects, networking with multiscale community participation, and applying sustainable wetland management to urban planning. Ultimately, this study can contribute to planning and management guidelines for a Wetland City.
■ Keywords :
System dynamics, Social-ecological system, Willow vegetation, Flood control, Wildlife habitats, Ecosystem function trade-offs
■ Publication date : 2022.11
■ Journal : Journal of Environmental Management
■ DOI : 10.1016/j.jenvman.2022.115788
■ Title :
텍스트 마이닝 분석을 통한 조경시공 연구경향 분석
A Study on Research Trends in Landscape Construction Using Text-mining Analysis
■ Abstract :
This study aimed to derive research trends related to the landscape construction field from various academic journals published in Korea from 1980 to 2022 by using text mining techniques. Research trends were analyzed through VOSviewer, the big data analysis program, and focused on keywords for landscape construction. As a result, first, a total of 226 research papers related to landscape construction showed a gradual increase by an average annual average of 5.8. This is caused by the increase landscaping- related various academic journals since the 1980s, and the increase in research opportunities on landscape construction, methods of construction, and materials due to the expansion of the landscape industry. Second, as a result of analyzing co-occurrence keywords related to landscape construction, it appeared in the order of Plant, Management, Improvement, Species, etc. In addition, as a result of network analysis, it was classified into four research clusters: (1) Post-management and Function improvement, (2) Plant and Plant growth environment, (3) Space and Usability, and (4) Constructability and Economy. Third, as a result of analyzing the field of landscape construction based on the passage of time, the research trend of the field of landscape construction tends to embrace various topics. However, in the future, research on landscaping construction and maintenance smart technology in the era of the 4th industrial revolution, as well as the development of materials and construction methods considering climate change, will be more necessary. This study is meaningful in that it analyzed the research trend related to the landscape construction field in detail through bibliographic analysis for the first time in Korea. In addition, it is meaningful as fundamental data for deriving the developmental research direction in the landscape construction field in consideration of the social paradigm and technological trends changing in the landscape architecture industry.
■ Keywords :
Landscape structure, Landscape material, Bibliographic analysis, Co-occurrence keywords, VOSviewer, Research cluster
■ Publication date : 2022.10
■ Journal : Journal of recreation and landscape
■ DOI : https://doi.org/10.51549/JORAL.2022.16.2.029
■ Title :
미세먼지 저감을 위한 그린인프라 계획요소 도출 - 텍스트 마이닝을 활용하여 -
Derivation of Green Infrastructure Planning Factors for Reducing Particulate Matter - Using Text Mining -
■ Abstract :
Green infrastructure planning represents landscape planning measures to reduce particulate matter. This study aimed to derive factors that may be used in planning green infrastructure for particulate matter reduction using text mining techniques. A range of analyses were carried out by focusing on keywords such as ‘particulate matter reduction plan’ and ‘green infrastructure planning elements’. The analyses included Term Frequency-Inverse Document Frequency (TF-IDF) analysis, centrality analysis, related word analysis, and topic modeling analysis. These analyses were carried out via text mining by collecting information on previous related research, policy reports, and laws. Initially, TF-IDF analysis results were used to classify major keywords relating to particulate matter and green infrastructure into three groups: (1) environmental issues (e.g., particulate matter, environment, carbon, and atmosphere), target spaces (e.g., urban, park, and local green space), and application methods (e.g., analysis, planning, evaluation, development, ecological aspect, policy management, technology, and resilience). Second, the centrality analysis results were found to be similar to those of TF-IDF; it was confirmed that the central connectors to the major keywords were ‘Green New Deal’ and ‘Vacant land’. The results from the analysis of related words verified that planning green infrastructure for particulate matter reduction required planning forests and ventilation corridors. Additionally, moisture must be considered for microclimate control. It was also confirmed that utilizing vacant space, establishing mixed forests, introducing particulate matter reduction technology, and understanding the system may be important for the effective planning of green infrastructure. Topic analysis was used to classify the planning elements of green infrastructure based on ecological, technological, and social functions. The planning elements of ecological function were classified into morphological (e.g., urban forest, green space, wall greening) and functional aspects (e.g., climate control, carbon storage and absorption, provision of habitats, and biodiversity for wildlife). The planning elements of technical function were classified into various themes, including the disaster prevention functions of green infrastructure, buffer effects, stormwater management, water purification, and energy reduction. The planning elements of the social function were classified into themes such as community function, improving the health of users, and scenery improvement. These results suggest that green infrastructure planning for particulate matter reduction requires approaches related to key concepts, such as resilience and sustainability. In particular, there is a need to apply green infrastructure planning elements in order to reduce exposure to particulate matter.
■ Keywords :
Ecosystem Service; Green New Deal; Big Data; Social Disaster; Environmental Disaster
■ Publication date : 2021.10
■ Journal : Journal of the Korean Institute of Landscape Architecture
■ DOI : https://doi.org/10.9715/KILA.2021.49.5.079
■ Title :
Forest management can mitigate negative impacts of climate and land-use change on plant biodiversity: Insights from the Republic of Korea
■ Abstract :
Over the past century, the decline in biodiversity due to climate change and habitat loss has become unprecedentedly serious. Multiple drivers, including climate change, land-use/cover change, and qualitative change in habitat need to be considered in an integrated approach, which has rarely been taken, to create an effective conservation strategy. The purpose of this study is to quantitatively evaluate and map the combined impacts of those multiple drivers on biodiversity in the Republic of Korea (ROK). To this end, biodiversity persistence (BP) was simulated by employing generalized dissimilarity modeling with estimates of habitat conditions. Habitat Condition Index was newly developed based on national survey datasets to represent the changes in habitat quality according to the land cover changes and forest management, especially after the ROK's National Reforestation Programme. The changes in habitat conditions were simulated for a period ranging from the 1960s to the 2010s; additionally, future (2050s) spatial scenarios were constructed. By focusing on the changes in forest habitat quality along with climate and land use, this study quantitatively and spatially analyzed the changes in BP over time and presented the effects of reforestation and forest management. The results revealed that continuous forest management had a positive impact on BP by offsetting the negative effects of past urbanization. Improvements in forest habitat quality also can effectively reduce the negative impacts of climate change. This quantitative analysis of successful forest restoration in Korea proved that economic development and urbanization could be in parallel with biodiversity enhancement. Nevertheless, current forest management practices were found to be insufficient in fully offsetting the decline in future BP caused by climate change. This indicates that there is a need for additional measures along with mitigation of climate change to maintain the current biodiversity level.
■ Keywords :
Biodiversity persistence, Climate change, Laud-use change, Forest management, Republic of Korea
■ Publication date : 2021.06
■ Journal : Environmental Management
■ DOI : doi.org/10.1016/j.jenvman.2021.112400
■ Title :
Planning a Green Infrastructure Network to Integrate Potential Evacuation Routes and the Urban Green Space in a Coastal City: The Case Study of Haeundae District, Busan, South Korea
■ Abstract :
Coastal cities face increasing natural disaster risks. Developing a green infrastructure network can reduce coastal vulnerability by connecting green spaces. Only a few researchers have examined practical guidelines for a green infrastructure network in coastal cities. Therefore, the purpose of this study is to build a green infrastructure network by integrating potential evacuation routes and green spaces in a coastal city. The Haeundae District in South Korea was chosen as the study site. We constructed a green infrastructure network using space syntax and GIS network analysis. The results of this study showed that first, we created an integrated green infrastructure network by building evacuation route networks and urban ecological networks. Second, we evaluated the evacuation function and flood risk. Finally, we proposed green infrastructure network planning for coastal disasters, including hub and corridor design. This study can contribute to establishing strategies to reduce vulnerability in coastal cities.
■ Keywords :
Coastal urban area; Disaster prevention park; Green infrastructure; Greenway; Least-cost path analysis; Natural disaster; Space syntax.
■ Publication date : 2021.03
■ Journal : Science of The Total Environment
■ DOI : 10.1016/j.scitotenv.2020.143179
■ Title :
Stormwater runoff reduction simulation model for urban flood restoration in coastal area
■ Abstract :
Urban floods caused by expanding impervious areas due to urban development and short-term heavy precipitation adversely affect many coastal cities. Notably, Seoul, one of the coastal cities that experiences acute urban floods, suffers annually from urban floods during the rainfall season. Consequently, to mitigate the impacts of urban floods in Seoul, we established flood-vulnerable areas as target areas where green infrastructure planning was applied using the Stormwater Runoff Reduction Module (SRRM). We selected the Gangdong, Gangbuk, and Dobong districts in Seoul, Korea, all of which demonstrate high flood vulnerability. Analyses in reducing the runoff amount and peak time delay effect were estimated by model simulation using the SRRM. The reduction in peak discharge for the whole area occurred in the following order: Gangdong district, then Gangbuk district, and lastly Dobong district. In contrast, the reduction in peak discharge per unit area was most prominent in Gangbuk district, followed by Dobong and Gangdong districts. However, the delay effect was almost identical in all target areas. Based on the simulation results in this study, we planned green infrastructure, including green roofs, infiltration storage facilities, and porous pavement. We believe that the results of this study can significantly enhance the efficiency of urban flood restoration and green infrastructure planning in coastal cities.
■ Keywords :
Green infrastructure, System dynamics, Urban flood restoration, Flood vulnerability, Peak discharge
■ Publication date : 2022.07
■ Journal : Natural Hazards
■ DOI : 10.1007/s11069-022-05477-7
■ Title :
How Can Apartment-Complex Landscaping Space Improve Residents’ Psychological Well-Being?: The Case of the Capital Region in South Korea
■ Abstract :
Urban green spaces have a positive impact on citizens’ mental health and have contributed to improving their quality of life during the COVID-19 pandemic. In South Korea, where more than 50% of all households live in apartments, apartment-complex landscaping space plays the role of urban green space. This study aimed to investigate the relationships among a perceived restorative environment, restorative experience, life satisfaction, and psychological well-being by conducting a survey between residents living in apartments with landscape space. More specifically, an online survey was conducted from 8 to 15 June 2021 among residents in apartment complexes (500 households or more) located in the capital region in South Korea. We applied partial least squares structural equation modelling (PLS-SEM) using 220 samples to test the causal relationship presented in the conceptual model of this study. The results revealed that residents’ perceptions of the restorative environment of landscape space, including fascination, being away, and coherence had positive effects on restorative attention. Among the restorative environmental factors, the higher the “being away”, the greater the effect on restorative attention. Second, the effects of fascination and coherence on life satisfaction were mediated by restorative attention. Third, restorative attention and life satisfaction significantly influenced psychological well-being. Additionally, life satisfaction acts as a mediator in the relationship between restorative attention and psychological well-being. In summary, this study has theoretical implications, in that it explores the effects of apartment complex landscaping space as urban green spaces on residents’ mental health.
■ Keywords :
Urban green space, Apartment complex, Attention restoration theory, Restorative environments, Well-being
■ Publication date : 2022.08
■ Journal : International Journal of Environmental Research and Public Health
■ DOI : 10.3390/ijerph191610231