• Journal of the Korean Society of Clothing and Textiles
• /
• v.39 no.4
• /
• pp.613-624
• /
• 2015

This study examined: 1) the effect of store density on perceived crowding 2) the difference of perceived price benefit of sale by store density 3) the effect of perceived price benefit and store density on perceived crowding and 4) the effect of perceived crowding and price benefit on shopping behaviors. Store density and perceived crowding were categorized into social and spatial dimensions. Data were collected with 6 (high, medium, and low social and spatial densities) * 2 (sale and no-sale) between-subjects experimental designs. A total of 395 responses were analyzed. The results revealed that social density affected social crowding, but spatial density had no effect on perceived crowding. Price benefit of sale was not different by store density. The sale itself did not affect perceived crowding. Under the social density situation, perceived price benefit reduced spatial crowding and social crowding showed a positive effect on purchase behavior while spatial crowding had a negative effect. However, the most important effect on purchase behavior was price benefit. The study implies that social density (not spatial density) is important for consumer behavior and retail strategies.

• Journal of the Korean Regional Science Association
• /
• v.37 no.2
• /
• pp.3-16
• /
• 2021

This study analyzed various indicators of new stores targeting urban regeneration areas and compared them with the control group to evaluate the possibility of revitalization of areas where urban regeneration projects are taking place. The results of the study are divided into three categories. First, the density of new start-ups in urban regeneration areas was higher than that of the control group. Through this, urban regeneration areas will bring about an influx of new floating populations and will act as a positive factor in local revitalization. Second, the urban regeneration areas and the control group were compared based on the business type of new start-up stores. As a result of the analysis, urban regeneration areas have a high proportion of industries targeting the active population, not residents. This will promote local activation by attracting the daytime population. Third, the urban regeneration areas and the control group were compared based on the diversity of the business types of newly established stores. As a result of the analysis, urban regeneration areas in metropolitan cities will induce multipurpose shopping for consumers as stores selling different products are concentrated. On the other hand, urban regeneration areas in small cities will induce consumers to compare shopping as stores selling similar products are concentrated.

• Spatial Information Research
• /
• v.22 no.6
• /
• pp.81-90
• /
• 2014

This study analyzed an impact relationship between the variable of street based on the walking enhancement factors and the street revitalization. In detail, walking enhancement factors include a physical environment, accessibility and a density which was derived from previous studies. In addition, This study also analyzed the diversity of the profession which was emphasized by Jacobs(1961) and the influence of the specific space on street revitalization that was emphasized by Ray Oldenburg (1989) and Richard MacCormac (1983). The anlaysis by types showed the walking enhancement factors, including street envirnoment, accessibility, density and diversity, which were emphasized by Jacobs(1961) possessed similararites between weekdays and weekends. On contrast, the spatial distribution of stores showed a major difference of influences on street revitalization between weekdays and weekends as Ray Oldenburg (1989) and Richard MacComac (1983) has insisted.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.11 no.6
• /
• pp.784-792
• /
• 2018

In this study, we designed the area except the development market and the traditional market, where large scale shops were concentrated by realizing the real estate center of the alley commercial area. In addition, we have developed an area setting method for the alley area where reliability and rationality can be ensured by utilizing the actual data such as the business statistics, the survey data of the business, and the store business DB, which are managed by the local government or the state. The alley commercial areas were classified into five groups according to density. It is thought that users can distinguish the commercial areas from dense commercial areas to the commercial areas in order to utilize various commercial areas.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.10 no.2
• /
• pp.164-171
• /
• 2007

This research used GIS spatial analysis model and Huff probability model and achieved trade area analysis of area center. we constructed basic maps that were surveyed according to types of business, number of households etc. using a land registration map of LMIS(Land Management Information System) in Bokdae-dong, Cheongju-si. Kernel density function and NNI(Nearest Neighbor Index) was used to estimate store distribution center area in neighborhood life zones. The center point of area and scale were estimated by means of the center area. Huff probability model was used in abstracting trade areas according to estimated center areas, those was drew map. Therefore, this study describes method that can apply in Huff probability model through kernel density function and NNI of GIS spatial analysis techniques. A trade area was abstracted more exactly by taking advantage of this method, which will can aid merchant for the foundation of small sized enterprises.

• Journal of the Economic Geographical Society of Korea
• /
• v.23 no.4
• /
• pp.408-424
• /
• 2020

This study attempts to analyze the spatial clustering of survived and closed coffee shops based on the land price and land use for each coffee shop location. The locational characteristics of survived and closed coffee shops for each cluster type are identified through various locational properties such as transport factors (physical accessibility), shop properties (franchise information, newly open/closed business experience), and spatial density (kernel density estimation). To this end, we categorize the clusters of survived and closed coffee shops into three types (general locational distribution type, commercialization type of residential area and location type of commercial center), and then analyze their locational characteristics. As the result, we found that the locations of newly open and closed coffee shops show different distribution characteristics, even though they are classified into the same type due to the double sidedness of new open and closed locations. The results of this study can be provided as basic data for planning the location of coffee shop as well as regional commercial district.

• Asia Marketing Journal
• /
• v.9 no.2
• /
• pp.97-129
• /
• 2007

The critical link between consumer-based internet ordering and the delivery of the product to the consumer is a key success factor in online shopping. Market areas of online shopping company implies the range of space where products ordered from online shopping can be physically delivered to customers distributed over space with reasonable shipping cost and lead time through the physical distribution network. The average rate of growth in online shopping is 36% per year in Korea for the last 5 years. But there are no maps available that describe sales/delivery density of online shopping, few researches are focused on the short-term/long-term adaptation to demand increase by online shopping. In this paper (1) Maps of trade area are described indicating the sales/delivery density around the nation. (2) Empirical researches suggested that short-term adaptation to demand increase resulted in price reduction and service in enhancement of service quality in local transportation. But the long-term adaptation on the parts of parcel delivery industry are to be investigated in future researches.