• Journal of the Korean Geographical Society
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• v.28 no.1
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• pp.16-39
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• 1993

This study aims to analyze the locational factors which the small firm enterpreneurs in Pusan City mainly consider in deciding location choices for their plants, and then to grasp the differences of the factors in terms of nature of firms, managerial personal characteristics and zoning areas. In order to implement the purpose of the rescarch, data are collected from selected small firm enterpreneurs throughthe questionaire. The main results are summerized as follows. First, it is pointed out that small firm indu-strialists for the regional choice consider crucial rationale as non-economic factor of personal reson with additional consideration of transpor-tation, infrastructure, service, market and labor forces. But in selection of site, they are apt to have high regard on the such factors as infra-structure, service, land and transportation factor. These factors to select the site demonstrate differentiation in terms of character of enter-prises, managerial characteristics and zoning areas. For example, land in the light of indu-strial sector is regarded as an important factor with longer the time of the establishment of firms or more aged or experienced enterpreneurs, wheras infrastructure and service in the heavy and chemical industrial sector are taken up as an important one with shorter the time of establishment of firms or less aged or experienced or higher educational background of enterpren-eurs. In addition, the non-economic factors such as the residential livebility and personal reason are picked up as important factors with smaller the firm or more aged or experienced, lesser educational background of entrepreneurs. Taking into consideration zoning area, infra-structure and service in the industrial area such as the exclusive and semi-industrial areas, land in green belt area, and transportation in the commercial and residential areas are singled out as the most important factors respectively. In addition, the non-economic factors of the resi-dential livability and personal reason in the non-industrial areas are also highly regarded. Second, land is picked up as the most impor-tant one of pulling factors toward the present site while other factors such as infrastructure, service, personal reason are also regarded as the secondary reason for the move-in decision; the pulling factors for the present plant location show somewhat differences in terms of the charcter of the enterprises, managerial chara-cteristics and zoning areas. Policy measures including land, infrastructure under the environmental aspects, service and transportations are, in turn, pointed out as the important ones for pushing factors. Meanwhile, as the important staying factor in the present place, transportation, infrastructure and service under the aspect of the agglomeration benefit, market, personal reason are considered. The pushing and staying factors also shows somewhat distinctive differences in terms of the character of enterprises, managerial chracteristics and zoning area. In the case of zoning area, land is regarded as the most important factor to move out, especially in the non-industrial areas inclu-ding the commerical and residential areas policy measures, infrastructure and service are indicated as important factors to move out. In the mean-time, as the important staying factor, industria-lists in the exclusive and semi-industrial areas point out transportation, infrastructure and service. Whereas the counterparts in the com-mercial area regard transportation and market as important factor, those in the residential area consider the non-economic factors such as personal reason and residential livability. Taking into consideration the result of this analysis, it is identified that the locational chara-cteristics of the intraurban small firm industries are not only associated with the character of enterprises, but also with manager's personal character and the trait of zoning area. Therefore, it seems that the thorough review or examination of enterprises, industrialists' characteristics and zoning areas will have meanin-gful significance in attemption explanation of small firm industries at the intrauban scale in the future. Especially, it appears that the eco-nomic factors such as land, infrastructure, service, transportation, and the non-economic factors such as residential livability and personal reason play together important parts to determine the locational choice of small firm industries along with non-industrial benefit. Thus, such status reveals the obvious implication for the intraurban industrial policy in the future.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.167-176
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• 2021

Incheon Port urgently requires designation of a free trade zone to pursue development linked with the port hinterland while promoting continuous growth of the port. This study aims to evaluate the optimal location and derive policy implications for the designation of a free trade zone and analyzed factors property divided by groups. This study used the Consistent Fuzzy Preference Relation (CFPR) analysis technique to derive a practical construction direction by quantifying and evaluating linguistic measures. As a result, the Incheon New Port hinterland showed the highest location competitiveness among the four candidate areas of Incheon New Port hinterland, Aam Logistics Complex 2, North Port hinterland, and Gyeongin Port hinterland. Among the eight evaluation factors consisting of qualitative and quantitative factors, the Incheon New Port hinterland ranked no. 1 in all the four qualitative factors and one quantitative factor and received the highest total score. Also, Group 1 presented 'possibility to attract tenant companies' as first. Group 2 was 'complex size' and Group 3 was also 'possibility to attract tenant companies'. This study has the implication for suggesting the factors and evaluation structure of Free Trade Zone. Future research requires detailed empirical studies, such as expanding the subject of study or selecting factors that reflect the interests of each group.

• Journal of the East Asian Society of Dietary Life
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• v.15 no.4
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• pp.475-482
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• 2005

As Korea has approached the aging society, older Koreans have become an important force in restaurant sales today. To succeed with this silver market, it is important for restaurant managers to know who they are and which factor influence the older Koreans' eating-out decision making process. The purpose of this study was to investigate the effect of the elderly consumers financial independency on restaurant selection process. Data were collected from 178 older consumers above 55 years old and analyzed using the descriptive statistic analysis, MANOVA, and one-way ANOVA. The results showed that the elderly consumers financial independency significantly influenced the decision making process in determining where they eat out Significant differences were found between high income group and low income group in the Problem Recognition Step(Wilks' Lambda=0.776, F=3.796), Information Search Step(Wilks' Lambda=0.779, F=2.959), Alternative Evaluation Step (I :Wilks' Lambda=0.835, F=1.748/ II :Wilks' Lambda=0.764, F=3.212), and Purchase Decision Step(Wilks' Lambda=0.849, F=2.412), except the Post-Purchase Behavior(Wilks' Lambda=0.933, F=1.179). The more financially independent older consumers were, the more directly they were involved in the eating out decision making process. Older consumers with higher income and more personal property were likely to 'propose to eat out by themselves'(F=10.986), to obtain restaurant information from the 'printed materials'(F=9.707), to consider 'convenient location' as most important factor when they eat out(F=5.594), and to go to 'family restaurant'(F=7.067), 'Japanese restaurant'(F=7.391) and 'fine dining restaurants'(F-=6.382). In conclusion, we found that the elderly consumers financial independency did influence the eating-out decision making process. Considering that older Korean will become a financially independent consumer and will be eating away from home more often, food service operations should actively position themselves for this market and develop the market-driven menus and services to meet their needs and expectations.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.2
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• pp.131-138
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• 2023

Globally, the eco-friendly industry is developing due to the climate crisis. Electric vehicles are an eco-friendly industry that is attracting attention as it is expected to reduce carbon emissions by 30~70% or more compared to internal combustion engine vehicles. As electric vehicles become more popular, charging stations have become an important factor for purchasing electric vehicles. Recent research is using artificial intelligence to identify local demand for charging stations and select locations that can maximize economic impact. In this study, in order to contribute to the improvement of the performance of the electric vehicle charging station demand prediction model, nationwide data that can be used in the artificial intelligence model was defined and a pre-processing technique was proposed. In addition, a preprocessor, artificial intelligence model, and service web were implemented for real charging station demand prediction, and the value of data as a location selection factor was verified.

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.191-214
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• 2018

This research empirically analyzed the selection factors and the locational selection factors of the medical service facilities according to the gradual increase of the importance of the selection factors and the locational selection factors regarding the establishments of the small- and medium-sized hospitals according to the rapid changes of the socio-economic conditions. By analyzing the priority order according to the levels of the importance of each evaluation item factor through a research related to the selection factors and the locational selection factors of the small- and medium-sized hospitals and by drawing what the important factors that have the influences on the competitiveness of the pre-existent small- and medium-sized hospitals are through the classification of the real estate locational factors and the non-locational factors, the purpose lies in utilizing them as the basic data and materials for the opening strategies of the small- and medium-sized hospitals considering the special, locational characteristics according to the important factors of the selection factors of the small- and medium-sized hospitals, regarding the medical suppliers that have been preparing, for opening the new, small- and medium-sized hospitals. Based on the results of the preceding researches and the researches on the case examples, 28 evaluation factors were arrived at in terms of the level of the medical treatment, the medical services, the accessibilities of the hospitals, the conveniences of the hospitals, and the physical environment. And, regarding the 28 detailed evaluation factors that had been collected, through the interviews with the related experts, the 5 factors of the medical level, the medical service, the expertise of the hospital, the convenience of the hospital, and the physical environment were selected as the upper class evaluation factors. And, according to each upper class, a total of 28 low-part evaluation factors were selected. Regarding the optimal evaluation factors that were selected, the optimal locational factors were selected by carrying out an AHP questionnaire survey investigation with 200 medical experts as the subjects. Regarding the AHP analysis results, similarly with the case examples of the precedent researches, the levels of the importance appeared in the order of the medical level, the medical services, the accessibility of the hospital, the physical environment, and the convenience. And the factors that were related to the facilities of a hospital appeared low. The results of this research can be applied in providing the basis for the decision-makings regarding the selections of the locations of the small- and medium-sized hospitals in the future.

• Journal of Navigation and Port Research
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• v.46 no.3
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• pp.216-226
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• 2022

The industry trends of major global shipping and ports in the world are changing rapidly because of the spread of COVID-19, resulting in the reorganization of GVCs by global companies, and strengthening of environmental regulations by IMO. Based on these environmental changes, Busan Port was ranked 5th in the global container port rankings in 2013. However, since the outbreak of COVID-19, Busan Port's global container port ranking in 2020 fell to 7th, behind Qingdao Port. In the post-Corona era, for Busan Port to compete with global container ports and gain a competitive edge in the port, it is necessary to accurately identify the competitive factors of Busan Port and establish a comprehensive policy. Thus, the purpose of this study was to analyze how the competitive factors of Busan Port have changed in the selection of ports by current global shipping companies, compared to the first study conducted in 2005. Additionally, a comprehensive policy plan was established by identifying factors impacting the frequency of future calls as well as the growth potential of Busan Port, through a stepwise multiple regression analysis. As a result of the analysis, it was found that the call preference and growth potential of Busan Port in the post-Corona era are most affected by 'port facilities'. And it was found that the calls frequency in the future is most impacted by 'the geopolitical location' factor.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.1
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• pp.59-77
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• 2003

This study is to validate the use of macro language for the land suitability analysis aiming to help to resolve land use conflicts. The silver-town suitability analysis is conducted on the Geejang Gun, Busan Metropolitan city. Such digital maps as terrain, road, facility, and water body were created for various cartographic models. A cartographic model identified the best suitable areas for silver-town development based on the such site selection variables as a distance to facility and road, slope and aspect of terrain, land use etc. Then, the other cartographic model identified the most favorable site among the candidate sites based on the comparison of the aspect of proximity, usage and environmental quality. Macro language was used for these modeling process and was used for the manipulation of all these spatial variables used in the models to resolve land use conflicts relating to the decision making process of the final site selection. This study will improve the effectiveness and rationality of the traditional site suitability analysis.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.161-168
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• 2017

The purpose of this study is to investigate the effect of restaurant selection factors on reliability and revisit intention. The results of empirical analysis were as follows: First, the factors influencing the intention to visit the restaurant were the physical environment, service, price, location, reputation, cleanliness, It is confirmed that consumers are willing to visit again if their satisfaction is high because they choose general consumers considering kindness and taste. Second, trust is found to affect re - visit intention and it can be judged that store faith is actively considering return visit through consumer 's belief. Third, it was found that the factor of selecting the restaurant business influenced the intention to visit again according to the trust. When the customer chooses according to the restaurant business standard and satisfies the trust, it intends to increase the intention to visit again. The results of this study are as follows. First, it is found that the factors of restaurant selection and trust affect the revisit intention of restaurants, and it is meaningful to provide theoretical and strategic implications.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.2
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• pp.23-34
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• 2012

As the quality of life grows, the role of cultural facilities in urban areas is becoming more important. However, due to various reasons, the location of these facilities shows the geographical imbalance between urban regions. Even though provision of road network can improve this kind of urban problem, in many countries, the provision of urban infrastructure plays a role which is magnifies the cultural gap between regions and socio-economic classes. The findings of this study are as follows. First of all, the inequality of accessibility to cultural facilities is shown over the period. Cross-sectional data shows that the higher the income of a region, the higher the accessibility index(AI) of the zone to cultural facilities at any time. Next, the provision of road network contributes the improvement of AI of high income region. Finally the provision of new facilities has a tendency that these kind of facilities are located to make AI of high income zone better. It means that the decision making by city government intensifies the geographical inequality. This result would be very useful in the decision making process for determining the number and the location of cultural facilities and other similar urban infrastructure as well. Also it will be helpful for the selection of optimal location which considered not only physical distances but also social equalities.

• Journal of the Korean association of regional geographers
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• v.3 no.1
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• pp.63-80
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• 1997

This study attempts to establish the criteria of site selection for establishing solid waste disposal facility, to determine optimal solid waste disposal sites with the criteria, and to examine the suitability of the selected sites. The Multi-Criteria Evaluation(MCE) module in Idrisi is used to determine optimal sites for solid waste disposal. The MCE combines the information from several criteria in interval and/or ratio scale to form a single index of evaluation without leveling down the data scale into ordinal scale. The summary of this study is as follows: First, the considerable criteria are selected through reviewing the literature and the availability of data: namely, percent of slope, fault lines, bedrock characteristics, major residential areas, reservoirs of water supply, rivers, inundated area, roads, and tourist resorts. Second, the criteria maps of nine factors have been developed. Each factor map is standardized and multiplies by its weight, and then the results are summed. After all of the factors have been incorporated, the resulting suitability map is multiplied by each of the constraint in turn to "zero out" unsuitable area. The unsuitable areas are discovered in urban district and its adjacencies, and mountain region as well as river, roads, resort area and their adjacency districts. Third, the potential sites for establishing waste disposal facilities are twenty five districts in Youngyang-gun. Five districts are located in Subi-myun Sinam-ri, nine districts in Chunggi-myun Haehwa-ri and Moojin-ri, and eleven districts in Sukbo-myun Posan-ri. The first highest score of suitability for waste disposal sites is shown at number eleven district in Chunggi-myun Moojin-ri and the second highest one is discovered at number twenty one district in Sukbo-myun Posan-ri that is followed by number nine district in Chunggi-myun Haehwa-ri, number seventeen and twenty three in Sukbo-myun Posan-ri, and number two in Subi-myun Sinam-ri. The first lowest score is found in number six district in Chunggi-myun Haehwa-ri, and the second lowest one is number five district in Subi-myun Sinam-ri. Finally, the Geographic Information System (GIS) helps to select optimal sites with more objectively and to minimize conflict in the determination of waste disposal sites. It is important to present several potential sites with objective criteria for establishing waste disposal facilities and to discover characteristics of each potential site as a result of that final sites of waste disposal are determined through considering thought of residents. This study has a limitation of criteria as a result of the restriction of availability of data such as underground water, soil texture and mineralogy, and thought of residents. To improve selection of optimal sites for a waste disposal facility, more wide rage of spatial and non-spatial data base should be constructed.