4.6 Article

Spatio-Temporal Trend of Aging Regions and Their Neighborhood Environment: Findings from Daegu Metropolitan City, Korea

Journal

SUSTAINABILITY
Volume 12, Issue 3, Pages -

Publisher

MDPI
DOI: 10.3390/su12031218

Keywords

aging regions; elderly population; age-friendliness; neighborhood environment; emerging hotspot analysis; Daegu

Funding

  1. National Research Foundation of Korea (NRF) - Korea government (MSIT) [NRF-2017RIA2B4005440]

Ask authors/readers for more resources

This study aims to examine how the aging population of each region has changed from 2009 to 2018, and how age-friendly the current neighborhood environments are in those areas in Daegu, Korea. The 139 administrative units are used as spatial units to identify aging regions, while 100 m x 100 m grid cells are employed as spatial units to capture the environmental variables of the neighborhood comprehensively. To analyze Daegu's aging regions, emerging hotspot analysis was performed, demonstrating the spatio-temporal patterns of the elderly population. ANOVA analysis and a case study with field surveys were used to examine the age-friendly environmental conditions in aging regions. Findings of this study showed that Daegu's aging regions were increasing rapidly and spreading from the city center over time. In addition, it was found that the neighborhood environmental conditions of the aging regions were very poor in terms of accessibility, safety, and pleasurability. Significant differences were also found in the levels of age-friendliness of the neighborhood environments, depending on whether they are urban or suburban. The results herein support public policy proposals relevant to urban planning, environmental design, and aging policies.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Environmental Sciences

Does Environmental Walkability Matter? The Role of Walkable Environment in Active Commuting

Eun Jung Kim, Jiyeong Kim, Hyunjung Kim

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

Article Green & Sustainable Science & Technology

Neighborhood Walkability and Housing Prices: A Correlation Study

Eun Jung Kim, Hyunjung Kim

SUSTAINABILITY (2020)

Article Environmental Sciences

Neighborhood Walkability and Active Transportation: A Correlation Study in Leisure and Shopping Purposes

Eun Jung Kim, Jiyeong Kim, Hyunjung Kim

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

Article Green & Sustainable Science & Technology

Transforming Housing to Commercial Use: A Case Study on Commercial Gentrification in Yeon-nam District, Seoul

Wonjun Cho, Minho Kim, Hyunjung Kim, Youngsang Kwon

SUSTAINABILITY (2020)

Article Computer Science, Interdisciplinary Applications

Deep Floor Plan Analysis for Complicated Drawings Based on Style Transfer

Seongyong Kim, Seula Park, Hyunjung Kim, Kiyun Yu

Summary: This paper introduces a novel method for extracting indoor structures from complex floor plans, by processing building elements into vectorized form and unifying various plan formats into a consistent style using conditional generative adversarial networks. The experimental results show that the proposed model performs comparably to existing methods in detecting and recognizing rooms, with superior performance in one-to-one matches.

JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2021)

Article Green & Sustainable Science & Technology

Tourism as a Key for Regional Revitalization?: A Quantitative Evaluation of Tourism Zone Development in Japan

Hyunjung Kim, Eun Jung Kim

Summary: This study evaluates the increase in visitors to tourism zones in Japan through quantitative methods and regression modeling. The results show that regions with narrow tourism zones in the same prefectures experienced a significant increase in visitors, with subsidies having a positive impact on visitor numbers. Implications on tourism policies, urban and regional development, and community development can be drawn from this study.

SUSTAINABILITY (2021)

Article Chemistry, Multidisciplinary

Evaluation of Deep Learning-Based Automatic Floor Plan Analysis Technology: An AHP-Based Assessment

Hyunjung Kim

Summary: This study proposes a new technology for automatically extracting accurate indoor spatial information from floor plan images using deep learning, and evaluates its effectiveness through an assessment framework.

APPLIED SCIENCES-BASEL (2021)

Article Computer Science, Information Systems

Automatic Extraction of Indoor Spatial Information from Floor Plan Image: A Patch-Based Deep Learning Methodology Application on Large-Scale Complex Buildings

Hyunjung Kim, Seongyong Kim, Kiyun Yu

Summary: Automatic floor plan analysis has gained increased attention in recent research, and this study aimed to build a framework using CNN for analyzing floor plans of complex buildings. By dividing the floor plan into normalized patches, the proposed CNN model can process varied scales or high-resolution inputs, detecting building objects per patch and assembling them into one result. The framework exhibited similar performance to existing studies in detection rate and recognition accuracy, despite the complexity of the data used.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2021)

No Data Available