Purpose: This study was conducted to segment the delivery food market and to develop customized products and services. Methods: This study analyzed 636 responses collected from customers who ordered delivery food. Statistical analyses were conducted using the SPSS program (ver. 25.0) for frequency analysis, χ2-test, one-way analysis of variance, factor analysis, and cluster analysis. Results: Four factors were extracted by exploratory factor analysis (safety-orientation, convenience-orientation, taste-orientation, and economy-orientation) to explain the consumers' food-related lifestyles. The results of cluster analysis indicated that the 'low-interest group', 'convenience and economy-oriented group', and 'gourmet and economy-oriented group' should be regarded as the target segments. Characteristic analysis of each cluster showed that lowinterest group had higher rates of married (67.1%) and living with family (85.4%) than other clusters. The convenience and the economy-oriented group had higher rates of living alone (28.9%) than others. The gourmet and the economy-oriented group had a higher percentage of unmarried (62.0%) than the others. In addition, the average age of convenience and economy-oriented group (32.3 years) and gourmet and economy-oriented group (32.5 years) were significantly lower than the safety seeker (40.0 years) (p < 0.001). Difference analysis of the consumption practice according to the cluster, revealed significant differences in the order frequency (p < 0.001), main day to order (p < 0.05), source of information about delivery food (p < 0.001), order method (p < 0.001), and co-consumer (p < 0.01). In addition, the convenience and the economy-oriented group had significantly higher overall satisfaction than the others (p < 0.001). Conclusion: These findings suggest that customer segmentation based on a food-related lifestyle can be used to build a successful marketing strategy. Therefore, restaurant managers and delivery platform operators should consider developing products and services according to the segmentation to maximize customer satisfaction.
Purpose: This study investigated major dietary patterns among healthy Korean adults using cluster analysis and analyzed the relationship between energy intake and skeletal muscle mass. Methods: This study was conducted using the data from the 2008 ~ 2010 Korea National Health and Nutrition Survey. The data of 7,922 subjects aged 30 years and over, without any missing values, were included in the final analysis. K-means cluster analyses were conducted to identify the dietary patterns of the study subjects, which were based on the energy intake from 21 food groups using a 24-h recall method. The changes in energy intake with each dietary pattern, according to quartiles of skeletal muscle mass, were investigated. Results: Three dietary patterns were identified for both men and women: 'Flour, Animal fat', 'White rice' and 'Healthy mixed diet'. The association between energy intake and skeletal muscle mass for both men and women was significant only in the 'White rice' dietary pattern. In the 'White rice' pattern, the energy intake increased up to > 300 kcal from the lowest to the highest quartile of skeletal muscle mass after adjustment for covariates. Within the 'White rice' pattern, skeletal muscle mass was linearly associated with energy intake in all the age groups in men. Conclusion: Energy intake was significantly associated with changes in skeletal muscle mass only in the 'White rice' pattern. Furthermore, the degree of association between the change in skeletal muscle mass and energy intake differed according to gender. These results indicate that the association between skeletal muscle mass and energy intake may be specific to Korean people who are accustomed to a traditional Korean diet.
Journal of the Korea Fashion and Costume Design Association
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v.18
no.2
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pp.15-33
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2016
Women in their 30s and 40s, who are at the center of "ageless" and "down-aging" consumer trends, are likely to encounter problems with fitting and size conformity when they wear casual clothes targeting women in their 20s. Hence, differences in upper body sizes and body types between women in their 20s and women in their 30s and 40s were analyzed. The data for this study was from the 6th Size Korea survey of body measurements of 1,675 female adults in their 20s-40s. SPSS 21.0 for Windows was used for analysis of the collected data. To examine differences in average upper body size between women in their 20s and women in their 30s and 40s, descriptive statistics and independent sample t-tests were conducted. Factor and cluster analyses were used to classify body types by age groups. Comparing direct measurement items showed that women in their 20s tend to have higher average values for most height-related items-including body height-and lower average values for circumference, thickness, and width than women in their 30s and 40s. Factors in determining the upper body shapes of women in their 20s to 40s were narrowed to five; through a cluster analysis, upper body shapes of women were classified into three body types as follows. Type 1 women are shorter and thinner with small frames; Type 2 women have the highest vertical values for their upper bodies and average values for obesity-related categories of circumference, thickness, and width. Type 3 women are the shortest and has the highest body mass index (BMI), verifiable as obese. By analyzing differences in body type distribution according to age groups, it was found that more than 90% of women in their 20s belong to Types 1 and 2. On the other hand, most women in their 30s and 40s are identified as Type 3.
Journal of the Korea Fashion and Costume Design Association
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v.20
no.2
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pp.73-87
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2018
As men in their 30s are spending more money on clothing, it is becoming increasingly important to first conduct an anthropometric study and then develop garment patterns accommodating the changes found in body sizes and types of men in their 30s, in order to effectively address their fit dissatisfaction. Thus this study aims to explore changes in upper body sizes and body types of men in their 30s, which provide basic measurements for designing major garment items including jackets and shirts. To this purpose, key anthropometric dimensions of the upper body of men in their 30s, taken from the 6th (2015) and 7th (2016) surveys conducted by Size Korea, were analyzed using SPSS 24.0 for Windows. Independent sample t-tests were conducted on major upper body sizes to track changes with measuring time. Factor and cluster analyses were used to classify body types. By comparing the two surveys, it was found that the overall body sizes of men in their 30s were increasing in height-related items, circumference, thickness, and width, -as well as body weight and BMIs. Upper body height-related items, in particular, showed a higher average value in the 6th survey than in the 7th, indicating that the overall body types of men are becoming "westernized" with longer legs and shorter torso. Finally, five factors were derived to determine the typical upper body types of men in their 30s and the body types were classified into three categories according to the cluster analysis. First, those with a relatively small build with short stature and torso. Second, those with the highest stature and vertical dimension with the smallest torso volume and least body fatness. Third, those with the biggest torso volume and most body fatness with bigger width between armpits and shoulders. The distributional pattern analysis showed that men in their 30s tend to have increasingly higher stature but lower body weight and BMIs than in the past, implying that their body types are becoming close to those of men in their 20s.
This study sought to observe systematic relationships through taximetrical analyses by morphological characters among the 10 species, on three species in the virilis section (D. virilis, D. tsigana and D. lacertosa) and seven species in the quinaria section (D. angularis, D. brachvnephros, D. curvispina, D. kuntzei, D. nigromaculata, D. takadai and D. unispina) of the subgenus Drosophila. In the cluster and the cladistic analysis among the members of subgenus Drosophila, 10 species was divided into the 1st group of D. virilis, D. tsigana, and D. lacertosa and the 2nd group of D. angularis, D. brachynephros, D. curvispina, D. kuntzei, D. nigromaculata, D. takadai, and D. unispina. In cluster analysis, the 2nd group had three sister groups; one sister group that clustered D. angularis and D. brachynephros then D. unispina was clustered to them, another sister group clustered D, curvispina and D. takadai then D. kuntzei was clustered to them and the other sister group of D. nigromaculata. In the 10 species, D. virilis and D. lacertosa were the first to be divided and then D. tsigana. Although 1st group which D. virilis was belonged can be determined as more primitive than the 2nd group, it seemed that this group was not the direct ancestor of the 2nd group, rather there should be another ancestor. Among the quinaria species group, D. nigromaculata was the first to be divided and D. kuntzei was the most recent species to be divided.
A traditional house or a traditional village experience has been on the rise as a form of experiential cultural tourism. But the Oeam folk village, a experiential cultural tourist destination representing Chungcheng-do seems to confront the stagnancy in the part of growth. It has to grow in two sides of quantity and quality. On the ground of this critical mind, 3 assumptions were established after analyzing previous studies. Additionally, market segmentation using satisfaction factors was practiced. In order to verify assumptions, A questionnaire was made and a survey was practiced. Out of statistic analyses, cluster analysis was practiced to do market segmentation targeting people who visit Oeam folk village and regression analysis to verify established assumptions. The assumption 1 was adopted that satisfaction factors influence whole satisfaction. The assumption 2 was partly adopted that satisfaction factors(sightseeing efficiency, sightseeing convenience, traditional house and experience factor) except food and souvenir factor influence behavior intention. The assumption 3 was adopted that whole satisfaction influences behavior intention. These were similar with the results of previous studies. As the result of cluster analysis to confirm the difference of demographic characteristics according to the market, 2 clusters was classified and classified clusters showed the difference of demographic characteristics.
Bin, Miyoung;Lee, Won Do;Moon, Juback;Joh, Chang-Hyeon
Journal of Korean Society of Transportation
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v.31
no.4
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pp.47-57
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2013
This study aims at analyzing transportation equity between geographical areas of Gyonggi Province, by taking both the transportation infrastructure and travel behavior into account. Indicators of transportation infrastructure include the indices of road infrastructure, transit infrastructure and regional characteristics. Travel behavior concerns information from bus card data on a survey day. The hot-spot analysis conducted included spatial cluster analysis and global/local regression analyses. The analysis results identified geographical areas of four different classes of transportation equity, from the area with high level infrastructure surrounded by the areas with high level infrastructure (HH) to the area with low level surrounded by the areas with low level (LL). The area of HH type showed big numbers of passengers, trips and transfers, whereas the area of LL type shows big figures of internal trip frequency, travel time, travel distance, travel speed and transit fare. Global regression analysis showed that number of passengers, number of transfers, number of internal trips and mean travel speed are important to the level of transportation infrastructure. GWR with these four significant variables significantly improved the AICs and ANOVA results, which implies that the infrastructure is likely explained by travel characteristics differently between geographical areas in Gyonggi Province.
Ravn, Dea Louise;Mohammadnejad, Afsaneh;Sabaredzovic, Kemal;Li, Weilong;Lund, Jesper;Li, Shuxia;Svendsen, Anders Jorgen;Schwammle, Veit;Tan, Qihua
Journal of Acupuncture Research
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v.37
no.2
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pp.128-135
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2020
Background: Classical acupuncture is being used in the treatment of rheumatoid arthritis (RA). To explore the biological response to acupuncture, a network-based analysis was performed on gene expression data collected from an animal model of RA treated with acupuncture. Methods: Gene expression data were obtained from published microarray studies on blood samples from rats with collagen induced arthritis (CIA) and non-CIA rats, both treated with manual acupuncture. The weighted gene co-expression network analysis was performed to identify gene clusters expressed in association with acupuncture treatment time and RA status. Gene ontology and pathway analyses were applied for functional annotation and network visualization. Results: A cluster of 347 genes were identified that differentially downregulated expression in association with acupuncture treatment over time; specifically in rats with CIA with module-RA correlation at 1 hour after acupuncture (-0.27; p < 0.001) and at 34 days after acupuncture (-0.33; p < 0.001). Functional annotation showed highly significant enrichment of porphyrin-containing compound biosynthetic processes (p < 0.001). The network-based analysis also identified a module of 140 genes differentially expressed between CIA and non-CIA in rats (p < 0.001). This cluster of genes was enriched for antigen processing and presentation of exogenous peptide antigen (p < 0.001). Other functional gene clusters previously reported in earlier studies were also observed. Conclusion: The identified gene expression networks and their hub-genes could help with the understanding of mechanisms involved in the pathogenesis of RA, as well understanding the effects of acupuncture treatment of RA.
Moths were collected using a 22W UV black light trap in June through September in 2005 and May, June, August and September in 2006. The study sites were Namsan (Mt. Nam), Jirisan (Mt. Jiri), Woraksan (Mt. Worak) which are part of the Korean National Long Term Ecological Research (KNLTER). There were two common forest communities, Quercus mongolica and Pinus densiflora. The purpose of this study was to compare species diversity of the major plant feeding Lepidoptera in the two forest types at the regional KNLTER sites. We collected a total of 435 species from the KLTER sites in 2005 and 2006. Abundance of moths was highest at Woraksan (Mt. Worak) followed by Jirisan (Mt. Jiri). The Namsan (Mt. Nam) site had the lowest, with five families (Arctiidae, Geometridae, Noctuidae, Notodontidae, and Pyralidae). Analysis of variance (ANOVA) showed statistically significant differences at sampling date in species abundance as a response variable and at site in species richness as another response variable. Although we expected a distinct cluster with the forest type at each study site, one of ordination analyses, nonmetric multidimensional scaling (NMS), showed distinct clusters with the moth assemblages at each site only but NMS did not show any distinct cluster with the different forest types at each site as we expected.
The characteristic of fish fauna and distribution by habitat type in the Yanghwa stream were investigated from August, 2008 to June, 2009. During the surveyed period, 30 species belonging 8 families were collected. And there were 10 Korea endemic species(33.3%), including Rhodeus uyekii et and so on. Dominant species was Rhodeus notatus, and subdominant species was Pseudorasbora parva. Dominant species according to habitat type was Pseudorasbora parva in Dam type pool and Channel conected pool, Pseudogobio esocinus(Run), Zacco platypus(Riffle), Rhodeus notatus(Side channel and Substrate type pool), Squalidus gracilis majimae(Meander type pool), and Carassius auratus(Channel unconnected pool), respectively. As a results of community analysis in the Yanghwa Stream, diversity, richness, and abundance indices showed relatively high values, indicating that studied stream have relatively stable community structure. Moreover, cluster and principal component analysis were divided by two groups(lotic and lentic habitats), suggest that species and individuals were different among habitat types.
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