Major Cities Of South Korea Research Articles

Identifying pollinator‐friendly sites within urban green spaces for sustainable urban agriculture

AbstractIntroductionThe relentless urban expansion has led to the depletion of forests and agricultural lands. Yet, pinpointing viable zones for urban agriculture, particularly concerning pollinator presence, remains a formidable task for city planners.Materials and MethodsOur study introduces a novel methodology to identify optimal locations for cultivating pollinator‐dependent crops. Leveraging species distribution models (SDMs), we generated habitat suitability maps for 243 pollinating insects, including bees (41 species), butterflies (140 species), and hoverflies (62 species) across South Korea. Subsequently, employing Graphab 2.8 software, we categorised 10 major cities in South Korea based on the connectivity of green space patches. Clusters exhibiting greater green space coverage, size, and connectivity displayed higher modularity values. Utilising ArcGIS software's zonal function, we computed key statistical parameters—minimum, maximum, mean, and sum values—of the pollinator taxa maps within each cluster.ResultsOur analysis unveiled a robust positive correlation between cluster modularity and the cumulative distribution of pollinators. Regions with heightened modularity exhibited richer pollinator populations, suggesting their suitability for urban agriculture for pollinator‐dependent crops.ConclusionThis study proposes that employing graph theory‐based clustering of urban green spaces can effectively delineate areas conducive to urban agriculture. This strategic identification of green space clusters with optimal pollinator abundance holds promise for urban agricultural planning and sustainability initiatives.

Cities in the heat: Unveiling the urbanized impacted surface urban heat island of South Korea's metropolises

The present study delves into the dynamics of SUHI in six major cities of South Korea. This study utilized the Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature (LST), European Space Agency Climate Change Initiative (ESA-CCI) Land use land cover (LULC), wind speed, relative humidity (RH), city size, city mean elevation, and population density data. Findings of this study exhibited higher daytime LST compared to nighttime with evident trend in Seoul, Incheon, and Jeju. Similarly, a great influence of SUHI showed by all cities with averaged SUHI of daytime (1.94 °C) was higher than nighttime (1.23 °C). Notably, the daytime SUHI was more pronounced in inland cities (2.3 °C) whereas, the nighttime SUHI was more evident in ocean cities (1.29 °C). Findings of this study illuminated inverse relationship of wind speed, RH, city size (r2= 0.58, p<0.05) and city mean elevation (r2= 0.41, p<0.05) with SUHI whereas a positive and strong correlation exhibited by population density with SUHI (r2= 0.73/, p<0.05). Findings of this study contribute to a deeper understanding of SUHI patterns in South Korea, by shedding light on various environmental factors which can hold implications for urban planning and more informed decisions to combat with the adverse impacts of SUHI.

Influence of selection of rural reference area for quantifying the surface urban heat islands intensity in major South Korean cities

Surface urban heat island intensity (SUHII), which is the difference in land surface temperature (LST) between urban and rural areas, depends on selection of rural reference and studies that have analyzed the impacts of different methods on estimating SUHII are few. This study aims to analyze impact of two different methods for defining rural areas, buffer area around city, and non-urban areas within city, on estimating SUHII in five major cities of South Korea using satellite measurements for period 2018–2022. Using a buffer region around city to define rural reference area results in a higher estimate of SUHII compared to using rural areas within city limits. The largest differences in SUHII were found in Seoul (both day and night) and Busan (night), with Seoul exhibiting a difference of 1.14°C (day) and 1.51°C (night), and the differences are mostly driven by the physical characteristics of the city and geographical location.

Semiparametric Integrated and Additive Spatio-Temporal Single-Index Models

In this paper, we introduce two semiparametric single-index models for spatially and temporally correlated data. Our first model has spatially and temporally correlated random effects that are additive to the nonparametric function, which we refer to as the “semiparametric spatio-temporal single-index model (ST-SIM)”. The second model integrates the spatially correlated effects into the nonparametric function, and the time random effects are additive to the single-index function. We refer to our second model as the “semiparametric integrated spatio-temporal single-index model (IST-SIM)”. Two algorithms based on a Markov chain expectation maximization are introduced to simultaneously estimate the model parameters, spatial effects, and time effects of the two models. We compare the performance of our models using several simulation studies. The proposed models are then applied to mortality data from six major cities in South Korea. Our results suggest that IST-SIM (1) is more flexible than ST-SIM because the former can estimate various nonparametric functions for different locations, while ST-SIM enforces the mortality functions having the same shape over locations; (2) provides better estimation and prediction, and (3) does not need restrictions for the single-index coefficients to fix the identifiability problem.

Strategies for Improving the Sustainability of Fare-Free Policy for the Elderly through Preferences by Travel Modes

As Korea provides a fare-free policy for subways only, there are objections to geographical equity, and the need to expand it to the entire public transportation system is being discussed. However, expanding policy scope in line with an aging society will soon pose sustainability problems. Hence, policy changes, similar to that of countries that provide fare-discount policies for the elderly or apply different discount rates for each travel mode, are needed. However, providing the same policies for all cities may differ from the benefits the target group wants. Thus, this study investigated the preference of the elderly living in major cities in South Korea for discount policies by travel mode. The study aims to provide a strategy for choosing the travel mode that should provide discount policies by combining regional and individual attributes. The latent class model is employed to classify stated preference data collected from the survey. The estimation results show a significant preference heterogeneity depending on the level of subway supply by region, and a policy focused on subways would be more reasonable in cities with sufficient subway infrastructure. In addition, providing additional bus discount policies only for trunk lines will help improve sustainability.

Disparities in healthcare resources associated with heatwave-related mortality in 7 major cities of South Korea

Disparities in healthcare resources associated with heatwave-related mortality in 7 major cities of South Korea

Exploring Spatial Mismatch between Primary Care and Older Populations in an Aging Country: A Case Study of South Korea

With the rapid growth of aging populations in South Korea, it is important to assess spatial accessibility to healthcare resources as older adults may need frequent visits to hospitals. Healthcare spatial accessibility is measured based on available resources (e.g., physicians, beds, services), demands (e.g., population), and travel costs (e.g., distance or time). In this study, we employed an Enhanced Two-Step Floating Catchment Area (E2SFCA) method to measure the spatial accessibility to primary care for older populations (i.e., aged 65 and older) in major cities in South Korea, including Seoul, Busan, Daegu, Incheon, Gwangju, Daejeon, and Ulsan. We found that the aging population in Seoul, the capital and biggest city in South Korea, has relatively better accessibility than those living in other cities. We also discovered a negative relationship between accessibility to primary care and the aging index (i.e., population over 65 years old/population less than 15 years old); the regions with a higher ratio of older populations have lower accessibility to primary care. The results suggested that more primary care services (perhaps via mobile vans) are needed in regions predominantly with older people to improve their healthcare access.

Factors Related to Clinical Competence among Graduating Nursing Students during the COVID-19 Pandemic: A Cross-Sectional Study.

This study investigated clinical competency, COVID-19-related anxiety, coping strategies, self-efficacy, and perceived stress among graduating nursing students during the COVID-19 pandemic. We conducted a cross-sectional survey. Participants were recruited from universities located in four major cities in South Korea. General demographic information, clinical competency, self-efficacy, perceived stress, COVID-19-related anxiety, and coping strategies were assessed using reliable questionnaires. Descriptive statistics, correlations, and multiple regression tests were used to analyze the data. The mean clinical competency, self-efficacy, perceived stress, adaptive coping, and maladaptive coping were 138.16 ± 18.34, 83.85 ±14.02, 21.37 ± 5.79, 53.15 ± 4.64, and 30.98 ± 6.73, respectively. COVID-19-related anxiety was reported by 4.3% of participants. Clinical competency was significantly positively correlated with self-efficacy (r = .44, p < .001) and adaptive coping (r = .20, p = .035) and was significantly negatively correlated with maladaptive coping (r = .20, p = .035). The predictors of clinical competency were self-efficacy (β = .434, p < .001) and adaptive coping (β = .173, p < .039), which explained 23% of the variance in clinical competency. Self-efficacy and adaptive coping strategies are significant predictors of clinical competence during the pandemic. Planning and implementing various curricular and non-curricular activities to increase senior students' self-efficacy and adaptive coping strategies will help prepare competent nursing graduates for the pandemic when they enter the nursing workforce.

Identifying urban form typology of residential areas in major cities in South Korea using clustering

In South Korea, cities have experienced rapid development, resulting in diverse urban form patterns. While the typology approach has emerged for identifying different patterns for better understanding of urban development, typology studies are still lacking for Korean cities. This study identifies and compares urban form typologies for residential blocks in major Korean cities using clustering. Two cities are analysed which represent distinct regional city characteristics and planning themes in Korea: Seoul and Jeju. In each city, physical form data are collected in the Geographic Information Systems (GIS) format for calculating and analysing residential blocks. Urban form variables and principal components were analysed and used for K-means clustering. The results of clusters are then interpreted as urban form typologies. The identified urban form typologies in the two cities show the similarities and differences of typologies between the cities providing insights in the influences of regional characteristics, such as natural environment, culture, and of the planning patterns on urban form development patterns. The findings provide a better understanding of diverse urban forms in the three cities and their different local identities. The typologies can be utilized as references for urban and policy makers for sustainable planning and design.

Significant association between increased risk of emergency department visits for psychiatric disorders and air pollutants in South Korea.

The association between air pollutants and psychiatric disorders has been investigated in many countries. However, results for the association between air pollutants and emergency room (ER) visits for psychiatric disorders are inconsistent. Further, systematic large-scale studies relating to the same are lacking, especially in South Korea. We aimed to investigate the acute and short-term cumulative effect of air pollutants on ER visits for psychiatric disorders in South Korea. The data on nitrogen dioxide (NO2) and particulate matter (PM2.5 and PM10) and ER visits due to nine representative psychiatric disorders were collected from eight major cities in South Korea for three years. We estimated the relative risk (RR) at lag 0 and a cumulative 11-day RR by increasing a 10-unit for PM and 0.01-unit for NO2 using the Distributed Lag Nonlinear Model. During the study period, a total of 79,092 ER visits for psychiatric disorders were identified and tested for association with NO2, PM2.5, and PM10. The RR at lag 0 of depression per 0.01-unit increase in NO2 was the highest (3.127; 95% confidence interval [CI] 2.933 to 3.332) among the psychiatric disorders. The RRs at lag 0 of anxiety disorders per 10-unit increase in PM2.5 (1.709; 95% CI 1.424 to 2.053) and PM10 (2.168; 95% CI 1.957 to 2.403) were the highest among the psychiatric disorders. Air pollutants increased ER visits for psychiatric disorders with the highest RR of depression due to NO2 and anxiety disorder due to PM2.5 and PM10. These results contribute evidence to the positive association between ambient exposure to air pollution and aggravation of psychiatric disorders, indicating air pollution may be a modifiable risk factor in mental health management. We investigated the effect of air pollution on emergency room visits caused by major psychiatric disorders in prominent cities in South Korea. Using the Distributed Lag Nonlinear Model, an advanced analysis method, we calculated the acute effect and short-term cumulative effect. Air pollutants increased ER visits for psychiatric disorders with the highest relative risk of depression due to NO2 and anxiety disorder due to PM2.5 and PM10. These results reveal an association between ambient exposure to air pollution and aggravation of psychiatric disorders and suggest that air pollution may be a modifiable risk factor in mental health management.

The critical role of job embeddedness: The impact of psychological empowerment and learning orientation on organizational commitment.

Job embeddedness (JE) has been recognized as a key factor to address the issue of employee turnover and employee attitudes. This study explores underlying mechanisms of job embeddedness that link the organizational environment and the individuals' perceptions of the job. Particularly, the effects of psychological empowerment and learning orientation on organizational commitment were examined. This study hypothesizes that psychological empowerment (PE) and learning orientation (LO) should influence organizational commitment (OC) and job embeddedness plays a significant mediating role in these relationships. Data were collected from 27 offices of Human Resource Development Service of Korea (governmental agency) located in major cities in South Korea. Results indicate that all hypothesized relationships (PE and JE, LO and JE, LO and OC, JE and OC, and the mediating role of JE) are supported, except for psychological empowerment and organizational commitment. While the impact of psychological empowerment was not significantly related to organizational commitment, it is notable that through job embeddedness, psychological empowerment had indirect effects on organizational commitment. Further, learning orientation had significant effects on job embeddedness and organizational commitment. Lastly, the most compelling finding is a full mediation of job embeddedness in the relationship between psychological empowerment and organization commitment. Implications for research and practice are discussed.

Association of long-term exposure to PM2.5 and survival following ischemic heart disease

BackgroundNumerous studies have suggested that long-term exposure to particulate matter ≤2.5 μm (PM2.5) may cause cardiovascular morbidity and mortality. However, susceptibility among those with a history of ischemic heart disease is less clearly understood. We aimed to evaluate whether long-term PM2.5 exposure is related to mortality among patients with ischemic heart disease. MethodsWe followed up 306,418 patients hospitalized with ischemic heart disease in seven major cities in South Korea between 2008 and 2016 using the National Health Insurance Database. We linked the modeled PM2.5 data corresponding to each patient's administrative districts and estimated hazard ratios (HRs) of cause-specific mortality associated with the long-term exposure to PM2.5 in time-varying Cox proportional hazard models after adjusting for individual- and area-level characteristics. We also estimated HRs by sex, age group (65–74 vs. ≥75 years), and household income. ResultsOf the patients with ischemic heart disease, mean age at the discharge was 76.8 years, and 105,913 died during a mean follow-up duration of 21.4 months. The HR of all-cause mortality was 1.10 [95% confidence intervals (CI): 1.07, 1.14] per 10 μg/m3 increase in a 12-month moving average PM2.5. The HRs of cardiovascular, stroke, and ischemic heart disease were 1.17 (95% CI: 1.11, 1.24), 1.17 (95% CI: 1.06, 1.30), and 1.25 (95% CI: 1.15, 1.35), respectively. The subgroup analyses showed that participants aged 65–74 years were more susceptible to adverse effects of PM2.5 exposure. We did not observe any differences in the risk by sex and household income. ConclusionMortality from all-cause and cardiovascular disease following hospitalization due to ischemic heart disease was higher among individuals with greater PM2.5 exposure in seven major cities in South Korea. The result supports the association of long-term exposure to air pollution with poor prognosis among patients with ischemic heart disease.

Long-term exposure to ambient ozone and mortality in a population-based cohort of South Korea: Considering for an alternative exposure time metric

Studies on the health effects of long-term ozone exposure remain limited with mixed results. One potential source of this inconsistency is the difference in exposure time metrics. This study aimed to investigate the association between long-term exposure to ambient ozone and mortality in South Korea, using different exposure metrics. We also examined whether heterogeneity between previous studies was due to the different exposure metrics. The study population comprised 179,806 participants from the National Health Insurance Service-National Sample Cohort (2002–2015) residing in seven major cities in South Korea. Several ozone exposure metrics (year-round 24-h, year-round 8-h, warm-season 24-h, and warm-season 8-h) were calculated. Time-varying Cox proportional hazards models were used to estimate the association between ozone and all-cause and cause-specific mortalities. Random-effect meta-analysis and meta-regression analysis were performed to pool the effect estimates of previous studies and examine whether the exposure metric can explain the between-study heterogeneity. The hazard ratios (HRs) per 10 ppb increment in year-round 24-h ozone for all-cause (HR, 1.18; 95% CI, 1.07–1.29) and circulatory (HR, 1.52; 95% CI, 1.25–1.84) mortality were higher than those of the other metrics. Year-round 8-h ozone exhibited the largest association with respiratory mortality (HR, 1.43; 95% CI, 1.04–1.96). A meta-analysis of 29 previous studies and the present study showed the largest HR for all-cause mortality from studies using year-round 8-h exposure (HR, 1.014; 95% CI, 0.994–1.033). The exposure metric was significantly associated with effect estimates in the multivariable meta-regression model. In conclusion, in the population-based cohort in South Korea, we found positive associations between several long-term ozone exposure metrics and mortality. The different ozone exposure metrics exhibited heterogeneous effect estimates. A year-round 24-h average ozone metric also could be considered an alternative long-term standard for ozone.

Long-term Exposure to Ambient Ozone and Mortality in a population-based cohort of South Korea

Background and aim: Compared to robust evidence from studies on short-term exposure, the health effects of long-term ozone exposure have been less studied, and the results are mixed. One of the potential sources of inconsistency is the difference in exposure metrics. This study aimed to investigate the association between long-term exposure to ambient ozone and mortality in South Korea, using different exposure metrics. We also examined sources of heterogeneity between previous studies. Methods: The study population comprised 179,806 subjects from the National Health Insurance Service-National Sample Cohort (2002-2015) residing in 7 major cities in South Korea. Several ozone exposure metrics (year-round 24-h, year-round 8-h, warm-season 24-h, and warm-season 8-h) were calculated for each district. Time‐varying Cox proportional hazards models were adopted to estimate the association between ozone and all-cause and cause-specific mortality. Random-effects meta-analysis and meta-regression analysis were performed to pool the effect estimates of previous studies and examined whether selected study characteristics can explain between-study heterogeneity. Results: The HRs per 10 ppb increment in year-round 24-h ozone for all-cause (HR, 1.18; 95% CI, 1.07-1.29) and circulatory (HR, 1.52; 95% CI, 1.25-1.84) mortality were higher than that of other exposure metrics. For respiratory mortality, year-round 8-h ozone showed the largest associations (HR per 10 ppb, 4.13; 95% CI, 1.04-1.96). The meta-analysis of 26 previous studies and the present study showed a positive association between long-term ozone exposure and all-cause mortality, with the largest HR from warm-season 8-h ozone (HR, 1.042; 95% CI, 1.015-1.071). The exposure metric was significantly associated with the effect estimates in the multivariable meta-regression model. Conclusions: In the population-based cohort of South Korea, we found positive associations between several long-term ozone exposure metrics and mortality. Different ozone exposure metrics could be an important source of heterogeneity between studies. Keywords: ozone, mortality, long-term exposure, cohort study, meta-analysis

Evaluation on the Restoration Effects in the River Restoration Projects Practiced in South Korea

This study evaluated the effects of the restoration of rivers carried out by the central government on streams located in major cities in South Korea. The effects of the restoration were evaluated based on the morphological and ecological characteristics, species composition and richness of vegetation, and a Riparian Vegetation Index of the restored streams. The naturalness of the streams, based on both the morphological and ecological characteristics, as well as the Riparian Vegetation Index of the restored streams was significantly lower than that of the reference rivers. The vegetation profiles of the restored streams did not reflect the flooding regimen of the river. Furthermore, the herbaceous plants found on the streambanks give way to shrubs and then to tree-dominated vegetation, respectively. The species composition of the vegetation in the restored streams showed a significant difference from that of the reference streams and this difference was particularly more significant with regards to the herbaceous plant-dominated vegetation types. The species richness of the restored streams showed a difference among the different streams but was lower than that of the reference streams. The ratio of exotic and gardening plants occupied in the species composition of the restored streams tended to be higher than that in the reference streams. Considering the above results, the restoration effects were usually low in the restored streams. Accordingly, an active adaptive management plan was recommended to improve those problems.

A Study on Assessing the Effectiveness and Commitment of Leadership Practice in Multiculturalism Implementation

This paper explores the effectiveness and commitment of leadership in implementing multiculturalism practices in four major cities in South Korea. Korea has seen an increase in immigrants and foreigners wishing to live and work there. It has forced the government to rethink its approach to multiculturalism by implementing programs that promote cultural integration. Leadership is vital in promoting cultural integration, from the top with the president to municipal leaders and corporate executives. The municipal city leaders are responsible for supporting foreigners to ensure cultural integration. However, while the top government leadership is incorporating strategies through policy implementation and social activities like international sports that bring all people together, some foreigners feel like local and regional area leaders and city administrators do not strongly commit to multiculturalism. For effective leadership in multiculturalism to be affected, all stakeholders must come on board for the multicultural policies in South Korea to be implemented.

Local climate zone classification using a multi-scale, multi-level attention network

Local Climate Zones (LCZ) offer a climate-aware and standardized classification scheme composed of 17 urban and natural landscape classes. Recent deep learning-based LCZ classification studies have adopted a scene classification approach with computer vision-inspired models. In light of these advancements, this study introduces a multi-scale, multi-level attention network (MSMLA-Net) for deep learning-based LCZ classification. MSMLA-Net integrates a multi-scale (MS) module to generate multi-scale features from the input data and a novel multi-level attention (MLA) module as a branch unit from the model’s main ResNet backbone. MLA uses the convolutional block attention module (CBAM) at multiple stages to generate multi-level spatially and spectrally enhanced features for context aggregation. This study presents comprehensive model-based experiments on model depth, the individual and combined influence of MS and MLA modules, and the addition of attention mechanisms. Furthermore, data-based experiments are conducted to determine optimal Sentinel-2 spectral bands, while OpenStreetMap (OSM) building data, ALOS World 3D DSM height information, and a national land cover map are included as ancillary bands. LCZ classification tests are conducted on six major cities in South Korea. With regards to model-based performance, MSMLA-Net was built using a modified SE-ResNet50 backbone (MSMLA-50) and obtained the best classification results using 48 by 48-pixel input patches with a combination of all Sentinel-2 and ancillary bands, outperforming three state-of-the-art LCZ classification models. In particular, only MSMLA-50 reached over 70% built-up overall accuracy and maintained high accuracy even when tested on completely unseen areas in a “citywise” leave-one-out sampling strategy. For data-based results, the combination of Sentinel-2 Red Edge bands were helpful, mainly due to the greater number of available bands. Training only ancillary data generated up to 75.0% for built-up overall accuracy, albeit at the cost of low natural overall accuracy. Using all available bands and ancillary data produced the best results, but a combination of only OSM and Sentinel-2 bands also generated comparable accuracy. Ultimately, the proposed MSMLA-Net bridges advanced computer vision techniques such as attention mechanisms and multi-level context aggregation to improve LCZ classification. The MS and MLA modules can be applied on different backbones, sophisticated sampling schemes, and data inputs to flexibly achieve improved classification results.

Spatial and Temporal Variations in Atmospheric Ventilation Index Coupled with Particulate Matter Concentration in South Korea

The spatiotemporal variations in the atmospheric ventilation index (AVI) with the particulate matter (PM) concentrations in South Korea were investigated using a regional grid model derived from the National Center for AgroMeteorology and PM10 concentration data obtained from AirKorea and the Korea Meteorological Administration. To construct a high-resolution AVI database with 1 h time intervals and a spatial resolution of approximately 2.4 km, a medium-range prediction was performed using a regional model twice a week from December 2018 to November 2019. The resultant dataset was used to explore the seasonal patterns of the areal distribution of a novel index: Ventilation Index coupled with PM (VIP), defined by the ratio of the AVI to PM. To determine the effects of geography on the VIP, diurnal variations of the VIP were examined at three major cities in South Korea. The emphasis of the investigation was on major cities that are planned to be developed into smart cities. This study reveals the specific spatiotemporal structure of the AVI in South Korea for the first time at a high resolution and introduced the potential usefulness of the VIP. The results provide insights that could aid decision making for determining favorable locations for better air-quality cities on an annual basis and can enable the sustainable management of fine PM in and around the areas of interest.

Social Isolation, Loneliness and Their Relationships with Mental Health Status in South Korea.

ObjectiveThis study aims to investigate the prevalence and psychological impact of social isolation and loneliness in South Korea. Loneliness and social isolation have been regarded as a risk to both physical and mental health. However, most studies have focused on the elderly; hence, there are limited studies on the characteristics of socially isolated or lonely people considering age. MethodsA sample of 1,700 participants was selected from three major cities in South Korea. In-person interviews were conducted to evaluate loneliness, social isolation and mental health status. ResultsAmong the participants, the prevalence of social isolation and loneliness was 17.8% and 4.1%, respectively. Males decreased the odds of loneliness (AOR 0.49, 95% CI=0.28–0.87), while increasing the odds of social isolation (AOR 1.44, 95% CI=1.12–1.86) after adjusting for age and sex. Greater depressive and social phobic symptoms were associated with increased odds of loneliness and social isolation. ConclusionSocial isolation and loneliness are prevalent among Koreans and associated with depression, social phobic symptoms, and suicidality. This study provides a foundation for further research to investigate nationwide prevalence and a more in-depth analysis of loneliness and social isolation.

Consumers’ Intention to Purchase Electric Vehicles: Influences of User Attitude and Perception

Electric vehicles (EVs) have been developed as an efficient solution to reduce automobile emissions. To ensure the effective diffusion of EVs in current transport systems, it is vital to understand the factors affecting consumers’ intentions to purchase EVs. To provide insights for this understanding, this study aims to investigate such factors with a particular focus on users’ attitudes and perceptions. A questionnaire survey was conducted in September 2019 among potential consumers in the major cities of South Korea. A total of 1500 valid survey responses were obtained, and investigations using binary logistic regression and regression tree were conducted for an empirical analysis. The results showed that among attitudinal attributes, environmental and economic perceptions concerning EV use were the strongest predictors for an EV purchase. In addition, technological concerns were found to have negative impacts on EV purchase intentions. The findings of this study could provide reasonable guidelines for establishing marketing strategies and serve as a reference for EV stakeholders to improve the applicability of current policies regarding EV adoption.