Journal of the Korean Geographical Society ISSN:1225-6633(Print) 대한지리학회지

This study aims to present an G2FCA-based improved method for measuring the spatial accessibility of emergency medical services, and to suggest policy implications by applying it to Cheongju City. The comprehensive accessibility to emergency medical services suggested in this study consists of access to emergency medical services and access to hospitals, which have different distance-decay function based on different golden-time characteristics by medical services. In particular, we estimated the demand for sudden out-of-hospital cardiac arrest (SOHCA) in each area of Cheongju City based on its incidence rate. SOHCA patients access to emergency medical services shows a similar geographic pattern as the general population. However, in rural areas, these patients have poorer access to emergency medical services compared to the general population, indicating that policies to improve access are urgently needed in these areas. Based on the findings, this study recommends improving access to emergency medical service through the provision of new facilities as well as additional 119 branch firehouse, and prioritizing the installation of AEDs in areas with low access to emergency medical care in order to improve the survival rate of SOHCA.

The purpose of this study is to find a start-up process of community business, to understand the role of regional value chain, and to examine a case study of a regional network that will enhance residents’capability. The findings are as follows: Community business management companies have generally not entered the business development stage of the start-up process of specific non-profit activities. This is because they are in early stages of development. The management companies who have self-sustaining ability will move into a stage of growth, stability, and differentiation in the future. In addition, these management companies have not been able to grow due to regional specialization and insufficient networking with NPOs, civic groups, business operators, corporations, universities, research institutes, chambers of commerce, and youth associations. Lack of networking has caused lack of social capital, resulting in insignificant growth. A reliable partnership between administrative agencies and residents is important in creating social capital. A community business needs to develop and maintain relationships with organizations within and outside of the region in using resources throughout the project.

Today, the demands of the times to respond to climate change, which has become a global issue, and the need for ecological transition efforts, require changes in the school curriculum. This study focuses on the direction of physical geography education in response to climate change based on awareness of the physical environment of the country and the world, understanding the harmonious relationship between humans and the environment based on this, and cultivating perspectives and practical skills on environmental ethics for ecological transition and presented the necessity and direction of strengthening physical geography education in elementary education. The challenges of physical geography education for this study were presented. First, education to cultivate sensitivity to nature, second, reinforcement of the contents of the physical environment itself, third, active reflection of the formation process of the physical environment and changes, fourth, field-oriented exploratory learning where active contact and interaction with nature can be achieved was proposed.

Along with the development of electronic communication technology, many changes have occurred in consumption behavior during the widespread spread of COVID-19, which broke out in late 2019. As demand for non-face-to-face consumption increases, the diversification of consumers' consumption methods in store type and location is accelerated. This study identifies the changes in store locations in commercial spaces due to recent consumption tendencies. In particular, we identify the locational characteristics of the photo studio and cafe industries that have recently increased in the number of stores and explore changes in consumption propensity for these industries through SNS keyword analysis. To this end, the spatial pattern of stores in operation For two types of industries is identified through kernel density analysis. An ordinary least square regression model is constructed to analyze the relationship between the location, consumption trends, and geographical attributes of stores in each industry. As a result of the analysis, demand for non-face-to-face consumption increased in photo studios, While cafes were still an industry with a large demand for face-to-face consumption. Both photo studios and cafes are areas with high subway traffic from 18:00 to 20:00, with a high distribution of people in their 20s, and appear to be associated with visits to tourism/leisure/entertainment facilities. In particular, The locations of unmanned photo studios and large-sized cafes showed a strong relationship with the areas with high rents, and large cafes are located away from residential areas and connected to parks.

The mass production of big data has driven the development of new approaches and value creation in the tourism study. As a tourism big data, credit card big data is highly useful in the tourism field because it is a record of actual usage. In this study, we aimed to derive tourism patterns using credit card big data and propose a complementary use method with blog data, which could be highly biased by individuals. Hot spot analysis and emerging hot spot analysis methods were applied to analyze tourism patterns, and local bivariate relationship and bivariate local spatial autocorrelation analysis were applied to identify complementarity with blog data. The spatio-temporal analysis of tourism patterns using credit card data revealed clusters of card use in certain areas and changes in clusters at certain times. By linking credit card data with blog data, we were able to complement demographic information from credit card data with textual information from blog data, providing additional information to infer tourism factors. In this study, we presented a method for analyzing tourism patterns using credit card big data, which is one of the real historical data, and how to use it complementarily with social media data. This result is expected to contribute to the analysis of tourism big data through the integration of various types of big data in the future.

Pohang, a steel city, naturally began preparing for the post-steel era as it watched the decline of steel cities in developed countries in the 1970s and 1980s. As a result of promoting regional development policy through science and technology promotion since the 1980s, more than 20 R&BD(Research and Business Development) institutions have been established an agglomerated innovation cluster, including POSTECH, Research Institute of Industrial Science & Technology(RIST), and Pohang Accelerator Laboratory. The growth stage of Pohang R&BD institutions can be largely divided into three stages. There is an opinion that it did not meet the originally expected results of regional development. But, it had various effects on the region, such as attracting companies. In this study, the agglomeration process, current status, and performance of R&BD institutions in Pohang were analyzed. In addition, measures to increase regional contribution were sought along with an analysis of how R&BD institutions effected the region.