The residential population of Jeju Island has increased more than 10% for last 10 years. Especially, the tourist population is more than twice comparing to 2005. The population growth of Jeju has brought about large-scale urban development and increased land demands for tourism services. The goal of this study is to analyze the human, social, and environmental status of Jeju Island and to evaluate the environmental capacity of land use using ecological footprint (EF) model. This study shows the changes in ecological deficits of Jeju Island through estimating ecological productive land (EPL) considering EF from 2005 to 2015. The categories of total EF consists of food land, built-up land, forestry, and energy consumption. In order to reflect the characteristics of resort island, we consider not only residential population but also tourist population who can increase land demands. The outputs of this study also provide the potential excess demands of EPL and suggest needs of sustainable management plans for the limited land of Jeju Island.
The importance of information system evaluation has increased according to ICT development and this evaluation is required for objective verification. The aim of this study is to develop evaluation indicators for web-based information system and verify the availability of these evaluation indicators through applying to agricultural water integrated information system. This study finds and provides eight evaluation items and 64 indicators for a web-based information system using 3×3 Mandal-Art matrix that is a tool for creating creative ideas. These evaluation items are design, contents, navigation, stability, community, convenience, usefulness, and accuracy. Total 64 evaluation indicators were presented by deriving eight evaluation items for each using 9×9 Mandal-Art matrix. When evaluating information system using evaluation indicators, it can be identified the vulnerable items in the information system. Also, the comprehensive results of the information system could be understood when appearing a single score after weighting. In addition, it can also help to prepare a questionnaire for evaluation systematically.
Although the educational facility are an important considerations on a social equity standpoint, educational environment in rural areas has been continuously deteriorated by numerous social problems such as decreasing birth rate and increasing of local school closing. The purpose of this study is to evaluate the accessibility of educational environment in rural areas on village level. First, we evaluate physical accessibility based on legally defined commuting distance. Second, the implication of village population of potential accessibility is analyzed. Lastly, the facility centrality index of each village is estimated for assessing the relations of educational accessibility. The main results of this study are as follows; (1) The accessibility of most villages in Pyeongchang-gun is vulnerable that 81.10% for elementary school, 73.17% for middle school, and 82.32% for high school, respectively; (2) The average commuting distance per student considering estimated number of students for each educational facilities indicated 2.75km for elementary school, 4.37km for middle school, and 5.79km for high school; (3) the facility centrality index is highly correlated to educational facilities but not to village population.
The global trade partners have been diversified and mixed in agricultural market, which is expended the international agri-food market through the Regional Trade Agreement and World Trade Organization, etc. The aim of this study is to derive influential factors for exports increases of agricultural products targeting to Association of South-East Asian Nations (ASEAN). We set the equation for agricultural products exports referred to panel gravity model considering panel fixed effect for controlling endogeneity within variables. The results of this study are the follows; (1) Social economic distance considering international oil price negatively affects in the mushroom model; (2) Korean GDP affects (-) in a mushroom model and (+) in a vegetable model, however, ASEAN’s per capita GDP indicates opposite influence in the same model; (3) Relative exchange rate shows negative impact in a vegetable model; (4) The entry status into WTO and the status in force of FTA have converse effects in mushroom and vegetable model, respectively.
Public transportation is public service that is contributed to the convenience of the public. However, opportunity for public services in rural areas is weaker than the chance in urban areas. The purpose of this study is to evaluate accessibility of various public facilities using public transportation. To evaluate the accessibility, we calculate the various time from community center to the nearest bus stop, walking time, riding time in bus, and waiting time for transfer. The results of this study ares as follows; (1) Villages occupy 19.8% in rural areas that walking time from community center to the nearest bus stop takes over 10 minutes in integrated Chungju-si; (2) The average speed is 21.9 km/hr estimated to departure and arrival time of bus route; (3) The accessibility time from community center using the average bus speed takes 15.43 minutes to public facilities, 35.15 minutes to emergency center, 8.70 minutes to medical center, 9.70 minutes to elementary school, 16.26 minutes to middle school, and 22.61 minutes high school; (4) The transfer time of public transportation takes 13.46, 21.96, 10.48, 7.78, 11.11, 16.10 minutes to public facilities, emergency center, medical center, elementary school, middle school, and high school, respectively; (4) Traffic accessibility using bus vehicles in the East and South Chungju-si is lower than areas in the West and North Chungju-si. Some villages surrounding public offices (eup-myeon office) which have a high density of population, indicate a high traffic accessibility.
A disaster can be defined in many ways based on perspectives, in addition, its types are able to classify differently by various standards. Considering the different perspectives, the disaster can be occurred by natural phenomenon that is like typhoon, earthquake, flood, and drought, and by the accident that is like collapse of facilities, traffic accidents, and environmental pollution, etc. Into the modern society, moreover, the disaster includes the damages by diffusion of epidemic and infectious disease in domestic animals. The disaster was defined by natural and man-made hazards in the past. As societies grew with changes of paradigm, social factors have been included in the concept of the disaster according to new types unexpected by new disease and scientific technology. Change the concept of social disasters, Ministry of Public Safety and Security (MPSS) has provided the regional safety index, which measures the safety level of a local government. However, this regional safety index has some limitation to use because this index provides the information for city unit which is a unit of administrative districts of urban. Since these administrative districts units are on a different level with urban and rural areas, the regional safety index provided by MPSS is not be able to direct apply to the rural areas. The purpose of this study is to determine the regional safety index targeting rural areas. To estimate the safety index, we was used for 3 indicators of the MPSS, a fire, a crime, and an infectious disease which are evaluable the regional safety index using an accessibility analysis. For determining the regional safety index using accessibility from community centers to public facilities, the safety index of fire, crime, and infectious disease used access time to fire station, police office, and medical facility, respectively. An integrated Cheongju, targeting areas in this study, is mixed region with urban and rural areas. The results of regional safety index about urban and rural areas, the safety index in rural area is relatively higher than in the urban. Neverthless the investment would be needed to improve the safety in the rural areas.
Land price can be affected by convenience or psychological repulsion like PIMFY (Please In My Front Yard) or NIMBY (Not In My Back Yard) for various facilities. Services related to public establishment, welfare, medical attention, and amenities in rural areas are comparatively poorer than those in urban areas. The purpose of this study is to estimate the implications of the accessibility to community facilities in rural areas for land prices using a hedonic price model. The accessibility to facilities is estimated by real road distances and the land prices are applied for four types of land usages: field, rice paddy, building lots, and village halls. Community facilities are classified from public and community services view: education, safety, culture, transport, environment, health care, and finance. The results show that the accessibility to health care and transport can positively affect land prices and the accessibility to environment (waste facilities and junkyard) and unpleasant services (funeral hall and charnel house) can negatively affect land prices. Especially, the accessibility to hospital is the most positive influential factor for all types of land usages.
The analysis of research trends is used to identify key subject areas, research trends over time, and new discussions in a study field. The purpose of this study is to examine the characteristics of research articles published in the area of rural planning using bibliometric methods. Research articles published in the Journal of Korean Society of Rural Planning 「Rural Plannin g」 from 1995 to 2014 were analyzed to determine the annual publications, the number of periodical contributions, the authorship patterns, and popular research subjects and keywords. The results of this study are as follows; (1) The number of research papers and authors has increased over the 20 years periods (1995-2014); (2) The most published authors are associated with the study of rural planning. Seoul National University, Rural Development Administration, and Chonnam National University have highly contributed to the paper publications; (3) The most frequent word in titles is “Rural“ for the whole period from 1995 to 2014. The most frequent words are “Village“ and “Planning“ from 1995-2006, and “Landscape“ and “Village“ in 2007-2010, and “Village“ and “Area“ from 2011-2014; and (4) The most used keywords are “Rural amenity“, “Rural village“, and “Rural landscape“ for all of the different time frames.
As environmental concerns including climate change drive the strong regulations for car exhaust emissions, electric vehicles attract the public eye. The purpose of this study is to identify rural areas vulnerable for charging infrastructures based on the spatial distributions of the current gas stations and provide the target dissemination rates for promoting electric cars. In addition, we develop various scenarios for finding optimal way to expand the charging infrastructures through the administrative districts data including 11,677 gas stations, the number of whole national gas stations. Gas stations for charging infrastructures are randomly selected using the Monte Carlo Simulation (MCS) method. Evaluation criteria for vulnerability assessment include five considering the characteristic of rural areas. The optimal penetration rate is determined to 21% in rural areas considering dissemination efficiency. To reduce the vulnerability, the charging systems should be strategically installed in rural areas considering geographical characteristics and regional EV demands.
Car exhaust emissions are recognized as one of the key sources for climate change and electric vehicles have no emissions from tailpipe. However, the limited charging infrastructures could restrict the propagation of electric vehicles. The purpose of this study is to find the vulnerable districts limited to the charging station services after meeting the goal of Ministry of Knowledge Economy(12%). We assumed that the charging service can be provided by current gas stations. The range of the vulnerable grades was determined by the accessibility to current gas stations and the vulnerable regions were classified considering the optimal number of charging stations estimated by the efficiency function. We used 4,827 sub-municipal divisions and 11,677 gas station locations for this analysis. The results show that most of mountain areas are vulnerable and the fringe areas of large cities generally get a good grade for the charging infrastructure. The gangwon-do, jeollanam-do, gyeongsangbuk-do, and chungcheongnam-do include more than 40% vulnerable districts.