Research


프로필 이미지
2023-11-10

■ Title :

How to manage urban disturbances: Focused on social-ecological vulnerability to fine dust pollution

■ Abstract :

Since the pattern of fine dust pollution varies regionally, it is necessary to identify areas vulnerable to fine dust pollution based on local community and environmental infrastructure and then plan green infrastructure for these areas. The purpose of this study is to analyze the suitability area of green infrastructure systems to improve urban resilience with regards to fine dust pollution. Regarding the research methods, first, a search for previous studies is conducted to establish an evaluation index for the resilience to fine dust pollution. Second, data on the environmental and social factors of the case study site (Suwon, Republic of Korea) are collected and mapped based on the resilience evaluation indices established for fine dust pollution. Third, these indices are used to confirm that regional differences caused by landscape fragmentation exist with regards to resilience to fine dust pollution. This study yields two key outcomes. Firstly, the indicators associated with resilience against fine dust pollution are categorized into environmental and social factors. Environmental factors encompass the composition of pollutants (including concentrations of PM2.5, PM10, NO2, O3, CO, and SO2), proximity to roads, and environmental assets such as well-established roadside green spaces, parks, forests, and thriving vegetation. Meanwhile, social factors incorporate considerations of social welfare services and air pollutant emission facilities. These factors contribute to the comprehensive evaluation indices, encompassing exposure, sensitivity, and adaptive capacity concerning fine dust pollution. Secondly, the spatial analysis of fine dust pollution within the case study area reveals that regions exhibiting robust social-ecological system adaptive capacities tend to demonstrate heightened resilience against fine dust pollution. Conversely, areas characterized by elevated exposure and sensitivity to this issue exhibit reduced resilience. Moreover, the investigation into landscape fragmentation highlights a strong correlation between resilience against fine dust pollution and the fragmentation of green spaces. This study deviates from previous research endeavors through its innovative approach of strategically planning green infrastructure in vulnerable zones, aligning with local characteristics. It further introduces distinct resilience evaluation indicators tailored to fine dust pollution and integrates considerations of the spatial distribution of social-ecological systems, thereby contributing to a nuanced understanding of this complex issue.

■ Keywords : Resilient cities, Resilience index, Green infrastructure, Exposure, Sensitivity, Adaptive capacity

■ Publication date : 2024.01

■ Journal : Environmental Impact Assessment Review

■ DOI : https://doi.org/10.1016/j.eiar.2023.107317Get rights and content


프로필 이미지
2023-11-10

■ Title :

Coastal landscape preference of residents and tourists according to the physical attributes and viewpoints of offshore wind farms as seen through virtual reality

■ Abstract :

The construction of offshore wind farms typically encounters two challenges: 1) conflicting opinions of relevant stakeholders and 2) localized attributes reflected in the landscape evaluation system. To solve these problems, this study conducts a virtual landscape preference survey for both residents and potential tourists. The 10 virtual offshore wind farms’ landscape profiles were established according to four attributes: the number of turbines, arrangement of turbines, distance, and altitude. As a result, residents and potential tourists were reported to hold opposing perspectives about changing the number of turbines, the arrangement of the turbines, and the distance, though they gave the same response about changing the altitude. However, the exposure time to offshore wind farms and the number of visits to coastal areas did not affect the landscape preference of offshore wind farms. The results indicated the importance of considering both residents and potential tourists. In addition, the definite change of preference for altitude explained the necessity of new attributes that reflect the situation of coastal areas. Last, using virtual reality with 3D simulations could improve the evaluation system of offshore wind farms by reducing the temporal and spatial constraints. Thus, the results of this study could be utilized to develop offshore wind farm evaluation systems, which could reflect the opinions of residents and tourists by considering localized factors.

■ Keywords : Renewable energy, Carbon neutrality, Coastal landscape, Wind power, Coastal resilience, Landscape evaluation system, Climate Change, Sea Area Use Impact Assessment Renewable Energy, Carbon Neutrality

■ Publication date : 2023.12

■ Journal : Regional Studies in Marine Science

■ DOI : https://doi.org/10.1016/j.rsma.2023.103157 

프로필 이미지
2023-11-10

■ Title :

Assessing of Offshore Windfarm Landscape Preferences using 360-Degree Panoramic Video – Target at Jeju Tamra Offshore Windfarm –

360도 파노라마 동영상을 활용한 해상풍력 경관에 관한 선호도 분석 – 제주 탐라해상풍력단지를 대상으로 –

■ Abstract :

This study aims to classify the types of offshore wind farm landscapes using 360-degree panoramic videos and analyze landscape preferences according to the elements of the landscape preference matrix for each type. To this end, First, this study selected Jeju Tamra Offshore Wind Farm as the study site and visited points overlooking the site to shoot 360-degree panoramic videos. Second, based on the 360-degree panoramic video data, this study analyzed the aesthetic characteristics of the landscape and classified the types of offshore wind farm landscapes. Third, this study surveyed the elements of the landscape preference matrix and landscape preferences for each type of offshore wind farm landscape. Fourth, using the collected data, this study analyzed the relationship between landscape preference and preference matrix elements for each type of offshore wind farm landscape. The analysis classified offshore wind landscape types into High Continuity(HCN), High Color(HCL), Low Visual Impact(LVI), and High Visibility(HVI). Additionally, cohesion was identified as a factor influencing HCN landscape preference, cohesion and mystery as factors influencing HCL landscape preference, cohesion and complexity as factors influencing LVI landscape preference, and cohesion and legibility as factors influencing HVI landscape preference. Based on the results of this study, strategies to improve offshore wind landscape preferences include (1)planting and pathway design to reduce visual impacts, (2)maximizing the biodiversity contrast of offshore wind turbines, and (3)simulating landscapes before offshore wind turbine installation.

■ Keywords : 

Climate Change, Sea Area Use Impact Assessment Renewable Energy, Carbon Neutrality

■ Publication date : 2023.09

■ Journal : Journal of recreation and landscape

■ DOI : http://doi.org/10.51549/JORAL.2023.17.2.001

프로필 이미지
2023-11-10

■ Title :

민간공원 특례사업이 도시공원의 생태계 서비스에 미치는 영향 - 경기도 광주시 중앙근린공원을 중심으로 -

Effect of the Private-Initiated Park Development Project on Ecosystem Services of an Urban Park - Focused on the Central Park in Gwangju, Gyeonggi-Do -

■ Abstract :

As the Private-initiated Park Development Project (PPDP) is being actively implemented, there are concerns about the deterioration of ecosystem services due to the development of long-term unexecuted urban parks. This study aims to analyze the impact of the PPDP on the ecosystem services of urban parks by examining Central Park, which is PPDP No. 1 in Gwangju, Gyeonggi-do. A study was conducted using system thinking to comprehensively understand the changes in the ecosystem services due to the PPDP. As a result of the study, the first reason for implementing the PPDP was the local government’s lack of financing. Second, it was found that the creation of urban parks through the PPDP initially deteriorated cultural services yet improved them over time, while the regulating and supporting services continued to decline. Third, trade-offs appeared between urban parks’ ecosystem services (i.e.., cultural services, regulating services, and supporting services). Through this, it was confirmed that it is necessary to prepare measures for planning and managing urban parks that can reduce the trade-off between the ecosystem services of urban parks. The results of this study suggest that it is necessary to understand the relationship between environmental changes and ecosystem services over time when establishing urban park creation plans and management.

■ Keywords : 

Long Term Unexcuted Urban Park; Park’s Sunset System; Landscape Planning & Management; Trade-Off; System Thinking

■ Publication date : 2023.08

■ Journal : Journal of the Korean Institute of Landscape Architecture

■ DOI : https://doi.org/10.9715/KILA.2023.51.4.031

프로필 이미지
2023-03-02

■ 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

프로필 이미지
2023-03-02


■ 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







프로필 이미지
2023-03-02

■ 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

프로필 이미지
2023-03-02

■ 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

프로필 이미지
2023-02-20


■ 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






프로필 이미지
2023-02-20


■ 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