Spatial Analysis of Urban Decline and the Policy Improvement Direction : Focused on Busanjin-gu, Busan, South Korea

Lim, Hyun Sung; Kim, Chung Ho

doi:10.17208/jkpa.2019.02.54.1.186

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Based on the SWCC, the value of the negativ pore water pressure was chosen. The SWCC parameters for PFC in this study followe those results in the study of Lim and Kim [26]. In their study, they experimented on per vious concrete samples by using Fredlund s device.…”

Section: Pfc Parameterssupporting

confidence: 81%

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Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric Designs

Huynh,

Pham

et al. 2023

Applied Sciences

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This study aimed to evaluate the subsurface drainage of a permeable friction course (PFC) via two-dimensional finite element analysis. To achieve the scope, PFCs with equivalent water flow paths of length values of 10, 15, 20, and 30 m and slope values of 0.5%, 2%, 4%, 6%, and 8% were modelled based on FEniCS and implemented entirely in Python programing language to extract the time for surface ponding according to a range of rainfall intensities. The results show that when the rainfall intensity and the length of equivalent water flow path of the PFC rose, the time for surface ponding decreased. For instance, with a rainfall intensity of 10 mm/h and a slope of 0.5%, when the length of equivalent water flow path increased by 20 m, the time for surface ponding dropped by 21 min. Moreover, when the slope of the equivalent water flow path and the thickness of the PFC increased, the time for surface ponding increased. For instance, with a rainfall intensity of 10 mm/h, and a PFC with an equivalent length of 10 m, when the slope increased by 16 times, the time for surface ponding increased more than two times. The current study highlights that the thickness of the PFC has the most influence on subsurface drainage. The findings of this study indicate that at high rainfall intensities, the subsurface drainage of a PFC is not sensitive to its geometric design. Further experimental investigations are needed to evaluate and validate the subsurface drainage of a PFC considering permeability, rutting, and environmental factors.

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Section: Pfc Parameterssupporting

confidence: 81%

“…Table 3. SWCC parameters for the PFC pavement, after Lim and Kim [26]. Based on the SWCC curve for PFC in Figure 4, the suction pressure value was selecte as 200 kPa to ensure that the PFC was initially dry before rainfall occurred.…”

Section: Pfc Parametersmentioning

confidence: 99%

Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric Designs

Huynh,

Pham

et al. 2023

Applied Sciences

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Examining Improvement of the Selection Criteria for Urban Regeneration House Repair Support Projects using Spatial Analysis - Focused on Myeonghak and Seoksu in Anyang-si, Gyeonggi-do -

Jun,

Jeong,

Kim

2024

JKHA

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The Urban Regeneration House Repair Support Projects were initiated in 2017. However, local authorities were compelled to establish their own criteria due to the absence of detailed execution guidelines from the central government. This phenomenon, primarily focusing on house repair, led to the insufficient achievement of the intended landscape improvement objective. This study proposes improvements of the selection criteria to enhance landscape improvement, using GIS spatial analysis of Myeonghak and Seoksu in Anyang-si. As a result, the research identifies main findings, such as various spatial distributions of the Deterioration and Influence criteria within site areas, spatial limitations in scoring individual houses, and the importance of the Deterioration criterion in the selection process. Based on these findings, the study explores improvement directions for the selection criteria, including establishing predictive simulation, utilizing spatial weighting for landscape improvement, and setting up post-evaluation based on spatial analysis. Despite its limitations in ignoring more quantitative spatial statistical evaluation and unique conditions based on more local authorities, the study offers significant insights for providing quantitative guidelines for the selection criteria, which can contribute to more rational fund distribution and enhanced policy efficacy.

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A Comparative Analysis of Disaster Vulnerability Factors between Declining Areas and Urban Areas

Jiyeong-Kim¹,

Hwa-Park²,

Ho-Cho³

et al. 2020

dcs

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Spatial Analysis of Urban Decline and the Policy Improvement Direction : Focused on Busanjin-gu, Busan, South Korea

Cited by 3 publications

References 4 publications

Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric Designs

Numerical Modelling Study of Subsurface Drainage of Permeable Friction Course Considering Road Geometric Designs

Examining Improvement of the Selection Criteria for Urban Regeneration House Repair Support Projects using Spatial Analysis - Focused on Myeonghak and Seoksu in Anyang-si, Gyeonggi-do -

A Comparative Analysis of Disaster Vulnerability Factors between Declining Areas and Urban Areas

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