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The driving force for collaboration networks in environmental engineering in South Korea
Jaebeom Park,Jeryang Park,Yongju Choi 대한환경공학회 2022 Environmental Engineering Research Vol.27 No.2
Here, for the first time, coauthor network and cluster analysis were utilized in the environmental engineering field to identify the driving force for scientific collaboration among individuals and the formation of clusters. Papers published in South Korean domestic environmental engineering journals from 2004 to 2018 were assessed, which enabled identification of unique network characteristics that represent not only the field of study, but also the regional boundaries of the data source. Despite being limited to a single country, the study identifies network characteristics, such as scale invariance, that are typically found in other coauthor networks. Nine clusters were identified, the identity of which could be defined by two variables: research interests and author affiliations. The clusters were divided by the sameness or geographical proximity of author affiliations and problem-oriented research topics. These also describe the inter-cluster relationships, validating the notion that the two variables are the major driving force for collaboration networks. This study substantially advances the understanding of scientific collaboration in the environmental engineering field and can guide future studies, such as the role of coauthor networks in environmental engineering within or outside of regional boundaries and the role of networks in domestic publications in other fields of study.
A new random network model for analysing the resilience of water distribution systems
( Jaewoo Son ),( Jeryang Park ) 한국물환경학회(구 한국수질보전학회) 2019 한국물환경학회·대한상하수도학회 공동 춘계학술발표회 Vol.2019 No.-
As one of the most important critical infrastructures, water distribution systems (WDSs) support the functioning of human society by transmitting water resource from sources to consumers. Because of the importance of the WDSs functions, resilience and sustainability have always been an interest. One way to analyze the ability of the infrastructure is to represent it as a complex network which is composed of nodes and edges. The topology of water distribution networks (WDNs) generally shows its characteristics between lattice and tree networks in planar space. While numerous network models have been introduced by previous research, to the best of our knowledge, a network model including the characteristics of WDNs does not exist. Furthermore, the existing network metrics should be modified to appropriately be used for analyzing the topology of WDNs. In this research, (1) we proposed a new network model that generates random planar networks with a specific proportion of grids. The model also includes WDNs’ characteristics, such as source and demand nodes, and then established as a primal undirected network. Then (2) we assessed the topology of generated networks with Monte Carlo simulation for stochastic approach, (3) analyzed the vulnerability of the WDNs by random failure scenarios, and (4) compared the results of generated networks with those of a case study, which is WDS in northern part of Boryeong city, South Korea. In the results, while the structural redundancy and robustness showed linear change as the portion of grids changes, the functioning of systems showed non-linear performance with an existence of a threshold in which an abrupt change occurs. Generally, the variation of performance with changing grid proportion is relatively stable near lattice networks but this becomes significantly large after passing a threshold toward tree networks. The analysis of centrality and vulnerability also showed non-linear behavior with a similar threshold and tree networks were more vulnerable than lattice networks. The WDS of the case study had a minor portion of grids resulting in the efficiency of 0.0298 with p equal to 0.93 beyond the threshold, which is close to a tree network. This analysis implies that the design of WDN is not the most efficient one and could be vulnerable to external failures. On the other hand, it also indicates that the functional resilience of the case study can be improved by increasing the proportion of grids in the existing network. However, the most effective point for installing grids should also be identified. This research provides information on how the proportion of grids can affect the functioning of systems, which can be used for reducing the consequence from failures. It also provides a way of implementing big data with network science for analyzing the resilience of WDSs.
Analyzing the Social-Ecological Network Characteristics of Green Space in City of Jeonju
Bin Kim,Serin Park,Jeryang Park,Junga Lee 전북대학교 휴양및경관계획연구소 2018 휴양및경관연구 (J East Asian Landscape Studies) Vol.12 No.3
There is growing interest in the various functions of urban green spaces that can improve urban resilience. Urban green spaces have an important role in wildlife habitat, climate and hydrological control, and recreation and outdoor activities. The connectivity of a green space network is known to control urban resilience by minimizing the disturbance caused by urbanization and climate change and strengthening the adaptation capacity. In this study, we analyzed the social-ecological network characteristics of green space in the city of Jeonju, South Korea. To analyze the ecological network, we defined wildlife habitat as the ecological node and used an index based on graph theory. We defined residential area as the social node, and we analyzed the accessibility of green space from the residential area to assess the social network. The results indicate that the green spaces in Jeonju are highly connected in the social and ecological perspectives on the fringe of the city. However, our founding also indicated that the social and ecological connectivity of the green space network in the downtown area should be improved. This study can be used as a basis for establishing an Urban Open Space Conservation Plan that considers the improvement of urban resilience in the future.