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To reduce human exposure to particulate matter (PM), governments have enacted various preventive measures, to which a warning system is central. To the best of our knowledge, we are the first to assess the effectiveness of mobile-based warning systems on respiratory health outcomes, examining two types of 〖PM〗_2.5 (particles less than 2.5μm in diameter) alerts via text messaging systems: Wireless Emergency Alert (WEA) and Air Quality Information Text (AIT) as employed in South Korea from January 2015 to October 2019. We used a generalized additive model to control the non-linear relationship between the 〖PM〗_2.5level and the number of hospital visits and admissions for four respiratory sicknesses—chronic obstructive pulmonary disease, respiratory tract infection, asthma, and pneumonia—while deciphering how such visits and admissions are reduced by the warning systems. Our results found that both systems reduced the number of new patients with the four sicknesses at a 5% statistical significance level. Of the two, WEA was found to be more effective than AIT. The former reduced the number of new patients by 16.4%, while the latter did so by 2.8%. WEA is for everyone with a cell phone connection. By sending simple and direct alerts to a broader range of people, WEA would help people to reduce the chance of short-term exposure to PM in general. The findings provide evidence with policy implications regarding air pollution adaptation.
Yeankyoung Hahm; Heeyeun Yoon. The impact of air pollution alert services on respiratory diseases: generalized additive modeling study in South Korea. Environmental Research Letters 2021, 1 .
AMA StyleYeankyoung Hahm, Heeyeun Yoon. The impact of air pollution alert services on respiratory diseases: generalized additive modeling study in South Korea. Environmental Research Letters. 2021; ():1.
Chicago/Turabian StyleYeankyoung Hahm; Heeyeun Yoon. 2021. "The impact of air pollution alert services on respiratory diseases: generalized additive modeling study in South Korea." Environmental Research Letters , no. : 1.
This study analyzes the effect of green characteristics on sales of unsold housing stock, using a multilevel growth model, in Gyeonggi Province, South Korea from 2012 to 2018. The green characteristics we estimated are external factors such as the proximity to urban parks and mountain trails located outside the housing complex and internal factors such as whether the area of communal open space within the complex exceeds a certain percentage. The results suggest that potential home-buyers are interested in green space inside rather than outside a housing complex in a suburban setting. Housing complexes with large enough communal open spaces had a 0.094 higher unsold unit ratio than complexes with small communal open spaces, but the surplus decreased more rapidly; the ratio declines by 0.028 per time unit. On the other hand, the results show no statistically significant effects of the distance to external green areas. This might be due to that public urban parks might not be an attraction to residents when forests and/or agricultural fields are in close proximity. The findings of this research will be utilized by construction companies and public institutions holding unsold units in improving their sales performance, not only in South Korea but also in other Asian regions showing a similar housing development pattern.
Hayoung Yoo; Heeyeun Yoon. The Effect of Green Characteristics in Reducing the Inventory of Unsold Housing in New Residential Developments—A Case of Gyeonggi Province, in South Korea. Land 2021, 10, 377 .
AMA StyleHayoung Yoo, Heeyeun Yoon. The Effect of Green Characteristics in Reducing the Inventory of Unsold Housing in New Residential Developments—A Case of Gyeonggi Province, in South Korea. Land. 2021; 10 (4):377.
Chicago/Turabian StyleHayoung Yoo; Heeyeun Yoon. 2021. "The Effect of Green Characteristics in Reducing the Inventory of Unsold Housing in New Residential Developments—A Case of Gyeonggi Province, in South Korea." Land 10, no. 4: 377.
This study aims to provide an in-depth understanding of what motivates older adults to take their adaptive behaviors during extreme heat events. Elaborating the mediating role of emotion in human behaviors, we empirically explore an interrelationship between individuals’ cognition, emotion, and heat-protective action in response to heat warning system alarms. Through face-to-face surveys and structural equation modeling, this study reveals that an increased level of cognition about climate change, heat waves, and local policy measures leads to emotional responses such as concern and worry, and consequently encourages people to comply with heat-related public guidelines. Furthermore, we also consider individuals’ pre-existing health conditions and their previous experiences of heat-related illnesses together with the emotional factors. The role of emotion in mediating between cognition and heat-protective action is much greater than in mediating between pre-existing health conditions and heat-protective action. We conclude that policy interventions to educate older adults can effectively increase the likelihood of individual compliance with the relevant preventive measures beyond their individual health and experiences.
Hee Yang; Heeyeun Yoon. Revealing an Integrative Mechanism of Cognition, Emotion, and Heat-Protective Action of Older Adults. Sustainability 2021, 13, 3534 .
AMA StyleHee Yang, Heeyeun Yoon. Revealing an Integrative Mechanism of Cognition, Emotion, and Heat-Protective Action of Older Adults. Sustainability. 2021; 13 (6):3534.
Chicago/Turabian StyleHee Yang; Heeyeun Yoon. 2021. "Revealing an Integrative Mechanism of Cognition, Emotion, and Heat-Protective Action of Older Adults." Sustainability 13, no. 6: 3534.
Climate-induced disasters threaten human society and local economies, resulting in substantial economic losses as well as the relocation of population and industries. In order to minimize the negative consequences and strengthen regional sustainability, it is important to estimate the population impact of Climate-induced disasters, as well as to understand the differing effects of those by type, for decision making processes in regional planning. The objective of our study is to examine the impacts of Climate-induced disasters - rainstorms, typhoons, snowstorms, and strong winds - on population growth at the municipal level in South Korea during the period 2006–2016. To better understand the effects of such events, we develop a spatial panel model that accounts for time and panel characteristics and the spatial spillover effects among local regions. Our findings suggested clear evidence that there was negative relationship between Climate-induced disasters and population growth. Specifically, the occurrence of sizable disasters, of which the total economic damage exceeding $1 million, was associated with a 1 percentage point reduction in local population growth. In addition, the cumulative population decline in the neighboring regions amounted to 2.84 percentage point, revealing substantial spillover effects. Such impacts varied by the types of disasters; only typhoons had a significantly negative effect on population growth. Our results suggest that planning strategies to minimize the impacts of climate-related disasters should be differentiated by different types of natural hazards.
Danya Kim; Heeyeun Yoon. Demographic effects of climate-induced disasters in South Korea: A spatiotemporal approach. International Journal of Disaster Risk Reduction 2020, 50, 101837 .
AMA StyleDanya Kim, Heeyeun Yoon. Demographic effects of climate-induced disasters in South Korea: A spatiotemporal approach. International Journal of Disaster Risk Reduction. 2020; 50 ():101837.
Chicago/Turabian StyleDanya Kim; Heeyeun Yoon. 2020. "Demographic effects of climate-induced disasters in South Korea: A spatiotemporal approach." International Journal of Disaster Risk Reduction 50, no. : 101837.
The original version of the article unfortunately contained an error in Acknowledgements section. Below is the corrected version.
Yunwon Choi; Heeyeun Yoon; Danya Kim. Correction to: Where do people spend their leisure time on dusty days? Application of spatiotemporal behavioral responses to particulate matter pollution. The Annals of Regional Science 2020, 66, 207 -207.
AMA StyleYunwon Choi, Heeyeun Yoon, Danya Kim. Correction to: Where do people spend their leisure time on dusty days? Application of spatiotemporal behavioral responses to particulate matter pollution. The Annals of Regional Science. 2020; 66 (1):207-207.
Chicago/Turabian StyleYunwon Choi; Heeyeun Yoon; Danya Kim. 2020. "Correction to: Where do people spend their leisure time on dusty days? Application of spatiotemporal behavioral responses to particulate matter pollution." The Annals of Regional Science 66, no. 1: 207-207.
The grant number in the acknowledgement was incorrect
Yunwon Choi; Heeyeun Yoon. Erratum: Do the Walkability and Urban Leisure Amenities of Neighborhoods Affect the Body Mass Index of Individuals? Based on a Case Study in Seoul, South Korea. International Journal of Environmental Research and Public Health 2020, 17, 5187 .
AMA StyleYunwon Choi, Heeyeun Yoon. Erratum: Do the Walkability and Urban Leisure Amenities of Neighborhoods Affect the Body Mass Index of Individuals? Based on a Case Study in Seoul, South Korea. International Journal of Environmental Research and Public Health. 2020; 17 (14):5187.
Chicago/Turabian StyleYunwon Choi; Heeyeun Yoon. 2020. "Erratum: Do the Walkability and Urban Leisure Amenities of Neighborhoods Affect the Body Mass Index of Individuals? Based on a Case Study in Seoul, South Korea." International Journal of Environmental Research and Public Health 17, no. 14: 5187.
It is critical to inventory abandoned farmland soon after it is generated, to better manage agricultural resources and to prevent negative consequences that would otherwise follow. This study aims to distinguish abandoned farmlands from active croplands—rice paddy and agricultural fields—by discerning the phenological trajectories over a short-term period of three years (Jan. 2016 to Dec. 2018) in Gwanyang City in South Korea. For Support Vector Machine (SVM) classification, we fully utilized parameters derived from harmonic analyses of the three vegetation indices (VIs: NDVI, NDWI, and SAVI) extracted from Sentinel-2A imagery. The harmonic analyses proved that higher-order sinusoid components produced better fitting to explain the trajectory of the VIs—the maximum adjusted R2 was 95.23%—and the multiple VIs diversified the attributes for the classifications. Consequently, the higher-order harmonic components and the additional VIs increased the accuracy when used in SVM classification. The best performing classification was achieved with a composite of harmonic terms derived from the three VIs, yielding overall accuracy of 90.72%, Kappa index of 0.858, and user’s accuracy for abandoned farmland of 93.40%. The proposed method here would greatly improve the process of detecting abandoned farmland, despite a relatively short observation period, and enable a rapid response to the occurrence of abandonment.
Heeyeun Yoon; Soyoun Kim. Detecting abandoned farmland using harmonic analysis and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing 2020, 166, 201 -212.
AMA StyleHeeyeun Yoon, Soyoun Kim. Detecting abandoned farmland using harmonic analysis and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing. 2020; 166 ():201-212.
Chicago/Turabian StyleHeeyeun Yoon; Soyoun Kim. 2020. "Detecting abandoned farmland using harmonic analysis and machine learning." ISPRS Journal of Photogrammetry and Remote Sensing 166, no. : 201-212.
This study investigates the impact of neighborhood-built environments on obesity in interrelationship with socioeconomic status (SES)—controlling for dietary patterns and physical activities of residents—using structural equation modeling (SEM). A total of 577 samples who are between 19 and 64 years old and reside in Seoul are extracted from Korea National Health and Nutrition Examination Survey (KNHNES), 2015. Neighborhood environments are represented as the two latent constructs—walkability and leisure amenities—composited with indicators such as density of intersections, density of mixed-use area, and the area of open spaces and are aggregated by jurisdictional unit in Seoul. We found that greater walkability in a neighborhood explained a lower body mass index (BMI) among residents, whereas more urban leisure amenities in a neighborhood explained a higher BMI. The finding suggests that a walking-friendly environment is more effective than active recreational amenities in inducing people to engage in daily physical activities to the level that reduces obesity rate. SES exerted a negative impact on BMI of a greater magnitude than the impact of either of the environmental living conditions, reinforcing the importance of general wealth and education level in leading to a healthy lifestyle. Our research contributes to growing evidence of a relationship between obesity and the built environment in the context of Asian countries where the prevalence of obesity is becoming a serious issue and requires immediate attention.
Yunwon Choi; Heeyeun Yoon. Do the Walkability and Urban Leisure Amenities of Neighborhoods Affect the Body Mass Index of Individuals? Based on a Case Study in Seoul, South Korea. International Journal of Environmental Research and Public Health 2020, 17, 2060 .
AMA StyleYunwon Choi, Heeyeun Yoon. Do the Walkability and Urban Leisure Amenities of Neighborhoods Affect the Body Mass Index of Individuals? Based on a Case Study in Seoul, South Korea. International Journal of Environmental Research and Public Health. 2020; 17 (6):2060.
Chicago/Turabian StyleYunwon Choi; Heeyeun Yoon. 2020. "Do the Walkability and Urban Leisure Amenities of Neighborhoods Affect the Body Mass Index of Individuals? Based on a Case Study in Seoul, South Korea." International Journal of Environmental Research and Public Health 17, no. 6: 2060.
Globally, countries have experienced substantial increases in farmland abandonment. Although vegetation phenology is a key factor for the classification of land use, understanding of the phenological change of abandoned farmland is lacking. Using harmonic analysis of NDVI and NDWI extracted from Landsat imagery, this study investigates the distinctive phenological characteristics of abandoned farmland, which contrasts with that of three other agricultural types (paddy, agricultural field, orchard) in the study site of Gwangyang City in Jeollanam Province, South Korea. The results suggest that abandoned farmland has higher overall greenness coverage and overall water content in vegetation than the other uses. In terms of both indices, abandoned farmlands changed with relatively less fluctuation than those of other uses, suggesting the existence of constant and unmanaged vegetation from ecological succession, which differs from crop fields that undergo cultivation procedures. The significant harmonic components differed among agricultural types and vegetation indices. In paddy, NDVI was explained with multiple, higher-order harmonic components, while in other types only first-order components met the 5% statistical significance level. With NDWI, land types were more clearly discernible, because of the different cultivation procedures involving water: wet-field method (paddy), dryland farming (orchard, agricultural field), and no cultivation (abandoned farmland). The analysis confirms that harmonic analysis could be useful in discerning abandoned farmland among areas of active agricultural use and shows that the statistical significance of harmonic terms can be employed as indicators of different agricultural types. The observed pattern of the geographic distribution of abandoned farmland has policy implications for the promotion of sustainable reuse of marginal farmland.
SungGyu Lee; Soyoun Kim; Heeyeun Yoon. Analysis of differences in vegetation phenology cycle of abandoned farmland, using harmonic analysis of time-series vegetation indices data: the case of Gwangyang City, South Korea. GIScience & Remote Sensing 2019, 57, 338 -351.
AMA StyleSungGyu Lee, Soyoun Kim, Heeyeun Yoon. Analysis of differences in vegetation phenology cycle of abandoned farmland, using harmonic analysis of time-series vegetation indices data: the case of Gwangyang City, South Korea. GIScience & Remote Sensing. 2019; 57 (3):338-351.
Chicago/Turabian StyleSungGyu Lee; Soyoun Kim; Heeyeun Yoon. 2019. "Analysis of differences in vegetation phenology cycle of abandoned farmland, using harmonic analysis of time-series vegetation indices data: the case of Gwangyang City, South Korea." GIScience & Remote Sensing 57, no. 3: 338-351.
This article offers an introduction to the special issue of the Annals of Regional Science, titled “Impacts of Air Pollution on Regional Economies in East Asia: Methodology and Empirical Evidence.” Pollution impact studies have played a critical role in raising public awareness of socioeconomic damage from pollution and are well within the realm of regional science from an academic perspective. Focusing on East Asia, all five papers contained in this special issue demonstrate how broadly air pollution may affect regional, national, and local economies and how conventional scientific methods can be extended for such impact assessment. The coverage of this special issue on the topic, however, is far from complete, in terms of impact area, method, and spatial focus, and we hope that this small collection can encourage various follow-up and complementary studies.
Kyung-Min Nam; Heeyeun Yoon. Air pollution in East Asia and its regional and socioeconomic impacts: an introduction. The Annals of Regional Science 2019, 63, 249 -254.
AMA StyleKyung-Min Nam, Heeyeun Yoon. Air pollution in East Asia and its regional and socioeconomic impacts: an introduction. The Annals of Regional Science. 2019; 63 (2):249-254.
Chicago/Turabian StyleKyung-Min Nam; Heeyeun Yoon. 2019. "Air pollution in East Asia and its regional and socioeconomic impacts: an introduction." The Annals of Regional Science 63, no. 2: 249-254.
In recent years, the deterioration of air quality due to high levels of particulate matter (PM: especially PM 10 and PM 2.5) has become a transboundary environmental problem in countries of the East Asia Pacific region. People tend to change their behavior in response to bad air quality, and those changes generate a wide range of socioeconomic implications. Despite their significance, however, the effects of PM on human behavior, especially behaviors involving outdoor activities, have not been sufficiently examined. This study employed panel analyses to empirically investigate differences in the preferences for recreational spaces with changes in the PM 2.5 level in Seoul, South Korea, from March 1 to June 30, 2017. We found a statistically significant relationship between the PM 2.5 level and the number of visitors to particular types of study sites in the daytime on weekdays and all days of the weekends. In both time groups, the number of visitors in open spaces decreased, while those in commercial spaces increased with heightened PM 2.5 level. But the numbers of visitors to indoor sports facilities showed no significant changes with the level of PM 2.5. We also found differing levels of pedestrian volume change according to sub-categories of open and commercial spaces. As an early empirical study of the impact of PM on human behavior, this work will help evaluate environmental policies and make possible safer community development planning.
Yunwon Choi; Heeyeun Yoon; Danya Kim. Where do people spend their leisure time on dusty days? Application of spatiotemporal behavioral responses to particulate matter pollution. The Annals of Regional Science 2019, 63, 317 -339.
AMA StyleYunwon Choi, Heeyeun Yoon, Danya Kim. Where do people spend their leisure time on dusty days? Application of spatiotemporal behavioral responses to particulate matter pollution. The Annals of Regional Science. 2019; 63 (2):317-339.
Chicago/Turabian StyleYunwon Choi; Heeyeun Yoon; Danya Kim. 2019. "Where do people spend their leisure time on dusty days? Application of spatiotemporal behavioral responses to particulate matter pollution." The Annals of Regional Science 63, no. 2: 317-339.
This study investigates the effects of PM10 concentration on tourism and recreational sales revenues through the case of Seoul, South Korea, from 2015 to 2017, using a twofold generalized additive modeling strategy. The finding confirms that PM10 exerts differing influences on such sales revenue by level. People begin to alter their consumption only after the PM10 level becomes worse than the “Bad” level. In the case of the present day's PM10 level, up to 41 μg/m3 and 109 μg/m3, respectively, each 10 μg/m3 increase is associated with an incremental increase of sales revenue by 3.8% and by 0.3%; thereafter, the same increase is associated with an incremental decrease of sales revenue by −1.2%. A similar pattern is observed for the two-day lag of the PM10 level. Well-balanced standards should be sought to ensure a maximum level of health safety and not depress tourism businesses and industries.
Heeyeun Yoon. Effects of particulate matter (PM10) on tourism sales revenue: A generalized additive modeling approach. Tourism Management 2019, 74, 358 -369.
AMA StyleHeeyeun Yoon. Effects of particulate matter (PM10) on tourism sales revenue: A generalized additive modeling approach. Tourism Management. 2019; 74 ():358-369.
Chicago/Turabian StyleHeeyeun Yoon. 2019. "Effects of particulate matter (PM10) on tourism sales revenue: A generalized additive modeling approach." Tourism Management 74, no. : 358-369.
This study aims to examine the time-varying effects of greenbelt cancellation on surrounding land values, using random-coefficient multilevel modeling. The greenbelt cancellation and subsequent urban development has generated positive externalities on the remaining nearby greenbelt and non-greenbelt land within a 500-m range. The positive externalities might be due to increased expectation for a continued cancellation of greenbelts and heightened investment potential. Beyond the 500-m range, the greenbelt cancellation and subsequent urban development yielded seemingly negative or negligible effects on both the greenbelt and non-greenbelt land parcels. These effects might possibly due to remoteness, being masked by the effects of proximity to the urban center.
SungGyu Lee; Heeyeun Yoon. Effects of greenbelt cancellation on land value: The case of Wirye New Town, South Korea. Urban Forestry & Urban Greening 2019, 41, 55 -66.
AMA StyleSungGyu Lee, Heeyeun Yoon. Effects of greenbelt cancellation on land value: The case of Wirye New Town, South Korea. Urban Forestry & Urban Greening. 2019; 41 ():55-66.
Chicago/Turabian StyleSungGyu Lee; Heeyeun Yoon. 2019. "Effects of greenbelt cancellation on land value: The case of Wirye New Town, South Korea." Urban Forestry & Urban Greening 41, no. : 55-66.
With this research, we aim to identify built environmental components of retail districts that affect pedestrian behaviors and influence their shopping behavior. We conducted GPS experiments to observe visitors' choice of walking route—pedestrian volume and visit duration—and the questionnaire survey to obtain their records of shopping on where and how much they spent in the Sinchon retail district of Seoul, South Korea. We then employed a path analysis to assess the causal relationship between the built environment, walking behavior, and shopping behavior. We found that pedestrians prefer streets with safety from vehicles, high design quality; higher hierarchy, centrality, and provision of resting places or other street amenities; and that all of these variables also increase pedestrian's visit duration and induce spending at stores on the street. This study would provide design guidelines to municipalities or private retailers looking to revitalize retail districts through environmental improvements.
Yeankyoung Hahm; Heeyeun Yoon; Yunwon Choi. The effect of built environments on the walking and shopping behaviors of pedestrians; A study with GPS experiment in Sinchon retail district in Seoul, South Korea. Cities 2019, 89, 1 -13.
AMA StyleYeankyoung Hahm, Heeyeun Yoon, Yunwon Choi. The effect of built environments on the walking and shopping behaviors of pedestrians; A study with GPS experiment in Sinchon retail district in Seoul, South Korea. Cities. 2019; 89 ():1-13.
Chicago/Turabian StyleYeankyoung Hahm; Heeyeun Yoon; Yunwon Choi. 2019. "The effect of built environments on the walking and shopping behaviors of pedestrians; A study with GPS experiment in Sinchon retail district in Seoul, South Korea." Cities 89, no. : 1-13.
In this study, we investigate how far away and for how long past flooding affected single-family housing values in Gyeonggi, South Korea. In order to empirically explore the geographic and temporal extent of the effects, we adopt two analytical methods: random-intercept multilevel modeling and Mahalanobis-metric matching modeling. The analytical results suggest that the geographic extent of the discount effect of a flooding disaster is within 300 m from an inundated area. Market values of housing located 0–100, 100–200, and 200–300 m from inundated areas were lower by 11.0%, 7.4%, and 6.3%, respectively, than counterparts in the control group. The effect lasted only for 12 months after the disaster and then disappeared. During the first month, 1–3 months, and 3–6 months after a flood, housing units in the disaster-influenced area (within 300 m of the inundated area) were worth, on average, 57.6%, 49.2%, and 45.9% less than control units, respectively. Also, within the following 6 months, the discount effects were reduced to 33.2%. On the other hand, the results showed no statistically significant effects on market values more than 12 months after the disaster. By providing insights into how people perceive and respond to natural hazards, this research provides practical lessons for establishing sustainable disaster management and urban resilience strategies.
Eunah Jung; Heeyeun Yoon. Is Flood Risk Capitalized into Real Estate Market Value? A Mahalanobis-Metric Matching Approach to the Housing Market in Gyeonggi, South Korea. Sustainability 2018, 10, 4008 .
AMA StyleEunah Jung, Heeyeun Yoon. Is Flood Risk Capitalized into Real Estate Market Value? A Mahalanobis-Metric Matching Approach to the Housing Market in Gyeonggi, South Korea. Sustainability. 2018; 10 (11):4008.
Chicago/Turabian StyleEunah Jung; Heeyeun Yoon. 2018. "Is Flood Risk Capitalized into Real Estate Market Value? A Mahalanobis-Metric Matching Approach to the Housing Market in Gyeonggi, South Korea." Sustainability 10, no. 11: 4008.
Inaugurated in 2007, in Seoul, South Korea, the Silver Zone is a designated pedestrian safety zone for the elderly that adopts speed limit measures such as traffic signage and road surface markings. In this study, we empirically investigate the effectiveness of the Silver Zone in two respects: first, whether the establishment of the Silver Zone has lowered the number of elderly pedestrian collisions, and second, whether Silver Zones are established in the appropriate areas, that is, those with the highest frequency of such collisions. From our quasi-experimental statistical analysis, Difference-in-Difference, we learn that the Silver Zone has no effects on reducing elderly pedestrian collisions. From our spatial statistical analyses—Kernel Density mapping and Bivariate Moran’s I—we found a spatial mismatch between the frequency of senior pedestrian-vehicular collisions and the location of Silver Zones. For better performance of the Silver Zone system, we suggest additional types of physical measures to be integrated into the Silver Zone system. Municipal-level comprehensive master plan for Silver Zone system is also necessary, under which local governments should use periodic surveys to inventory and prioritise the locations of highest elderly pedestrian-vehicular collisions.
Yunwon Choi; Heeyeun Yoon; Eunah Jung. Do Silver Zones reduce auto-related elderly pedestrian collisions? Based on a case in Seoul, South Korea. Accident Analysis & Prevention 2018, 119, 104 -113.
AMA StyleYunwon Choi, Heeyeun Yoon, Eunah Jung. Do Silver Zones reduce auto-related elderly pedestrian collisions? Based on a case in Seoul, South Korea. Accident Analysis & Prevention. 2018; 119 ():104-113.
Chicago/Turabian StyleYunwon Choi; Heeyeun Yoon; Eunah Jung. 2018. "Do Silver Zones reduce auto-related elderly pedestrian collisions? Based on a case in Seoul, South Korea." Accident Analysis & Prevention 119, no. : 104-113.
Retail clusters do not remain static, but change their size and density, influenced by factors that affect business operations. They also interact with, compete with, or complement others in different hierarchies for customer shares. This study aims to unfold the interrelationship between district- and neighborhood-level retail clusters in a catchment area by investigating how the growth (or decline) of one influences the other, and whether these two retail cluster types differ in their reactions to or impacts on certain external changes—land value and property development—occurring in the catchment areas, in the context of Seoul, South Korea, from 2000 to 2014, using Huff modeling and panel vector autoregressive modeling. Findings suggest that once a district-level retail cluster attracts more retail outlets, it not only continues to grow, but also contributes to the growth of neighborhood-level retail clusters for up to three to four years. Then excessive competition within district-level clusters leads to their own short-term decline before stabilization. The growth of neighborhood-level retail clusters also further spurs their continuing growth, whereas such shock does not influence the district-level retail clusters. Land value is influenced only by district-level retail clusters, and the converse does not hold true. An increase in neighborhood-level retail clusters is one of the stimuli of residential and commercial property developments, while that of the district-level retail clusters only encourages the commercial while discourages residential developments. Conversely, when residential property developments occur in the catchment area, neighborhood retail clusters respond positively and experience short-term growth.
Heeyeun Yoon. Interrelationships between retail clusters in different hierarchies, land value and property development: A panel VAR approach. Land Use Policy 2018, 78, 245 -257.
AMA StyleHeeyeun Yoon. Interrelationships between retail clusters in different hierarchies, land value and property development: A panel VAR approach. Land Use Policy. 2018; 78 ():245-257.
Chicago/Turabian StyleHeeyeun Yoon. 2018. "Interrelationships between retail clusters in different hierarchies, land value and property development: A panel VAR approach." Land Use Policy 78, no. : 245-257.
Hyun-Sook Kwon; Hee-Yeun Yoon; Yean-Kyoung Hahm. Community Facilities in Apartment Complexes - Whether Provisions Match Residents’ Preferences. Journal of the Korean Institute of Landscape Architecture 2018, 46, 17 -28.
AMA StyleHyun-Sook Kwon, Hee-Yeun Yoon, Yean-Kyoung Hahm. Community Facilities in Apartment Complexes - Whether Provisions Match Residents’ Preferences. Journal of the Korean Institute of Landscape Architecture. 2018; 46 (1):17-28.
Chicago/Turabian StyleHyun-Sook Kwon; Hee-Yeun Yoon; Yean-Kyoung Hahm. 2018. "Community Facilities in Apartment Complexes - Whether Provisions Match Residents’ Preferences." Journal of the Korean Institute of Landscape Architecture 46, no. 1: 17-28.
Extreme landslides triggered by rainfall in hilly regions frequently lead to serious damage, including casualties and property loss. The frequency of landslide occurrences may increase under climate change, due to the increasing variability of precipitation. Developing urban areas outside landslide risk zones is the most effective method of reducing or preventing damage; however, planning in real life is a complex and nonlinear problem. For such multi-objective problems, genetic algorithms may be the most appropriate optimization tools. Therefore, in this study, we suggest a comprehensive land-use allocation plan using the Non-dominated Sorting Genetic Algorithm II to overcome multi-objective problems, including the minimization of landslide risk, minimization of change, and maximization of compactness. Our study area is Pyeongchang-gun, the host city of the 2018 Winter Olympics in Korea, where high development pressure has resulted in urban sprawl into the hazard zone where a large-scale landslide occurred in 2006. We obtain 100 Pareto plans that are better than the actual land use data for at least one objective, with five plans that explain the trade-offs between meeting the first and second objectives. The results can be used by decision makers for better urban planning and for climate change-related spatial adaptation.
Eun Joo Yoon; Dong Kun Lee; Ho Gul Kim; Hae Ryung Kim; Eunah Jung; Heeyeun Yoon. Multi-Objective Land-Use Allocation Considering Landslide Risk under Climate Change: Case Study in Pyeongchang-gun, Korea. Sustainability 2017, 9, 2306 .
AMA StyleEun Joo Yoon, Dong Kun Lee, Ho Gul Kim, Hae Ryung Kim, Eunah Jung, Heeyeun Yoon. Multi-Objective Land-Use Allocation Considering Landslide Risk under Climate Change: Case Study in Pyeongchang-gun, Korea. Sustainability. 2017; 9 (12):2306.
Chicago/Turabian StyleEun Joo Yoon; Dong Kun Lee; Ho Gul Kim; Hae Ryung Kim; Eunah Jung; Heeyeun Yoon. 2017. "Multi-Objective Land-Use Allocation Considering Landslide Risk under Climate Change: Case Study in Pyeongchang-gun, Korea." Sustainability 9, no. 12: 2306.
Gyeongui Line Park is an urban park project that the City of Seoul has adopted as a means to revitalize declining neighborhoods. This study aims to analyze the project's effects on housing prices. Unlike extant hedonic studies, this analysis focuses on revealing the heterogeneous effects of the project by the development process, from inception to completion, to understand when and to what extent the park has influenced housing values in the host neighborhood. Findings indicate that the Gyeongui Line Park project has resulted in generally positive externalities to both apartments and multi-family dwellings, with the magnitude varying by relative locations. The effects differ according to the project's phase and housing type: in the apartment market, values increased about 15% per 100-m approach to the park, starting with the announcement of the park's procurement plan in 2006; continued to increase through Phase I completion; then decelerated to 0–3% at the beginning of Phase II construction. For multi-family homes, the project corresponded with positive, but smaller increases on housing values (about 2%) starting with Phase I construction in 2012, with the magnitude remaining at 1–2% from 2012 to the present. Findings from this study and its methodology will be valuable in determining the course of future planning efforts to maximize the positive effects of projects in urban revitalization practice.
Eunah Jung; Yunwon Choi; Heeyeun Yoon. The impact of the Gyeongui Line Park project on residential property values in Seoul, Korea. Habitat International 2016, 58, 108 -117.
AMA StyleEunah Jung, Yunwon Choi, Heeyeun Yoon. The impact of the Gyeongui Line Park project on residential property values in Seoul, Korea. Habitat International. 2016; 58 ():108-117.
Chicago/Turabian StyleEunah Jung; Yunwon Choi; Heeyeun Yoon. 2016. "The impact of the Gyeongui Line Park project on residential property values in Seoul, Korea." Habitat International 58, no. : 108-117.