• Journal of the Korean Regional Science Association
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• v.37 no.4
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• pp.75-93
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• 2021

By defining a travel disparity based on the degree to which travelers diversify their destinations, this paper examines how socioeconomic and spatial factors affect the travel disparity among the elderly in Seoul. This paper uses the COVID-19 pandemic as a natural experiment which can bring about different behavioral responses among the older travelers. Using the smart card data, we compare the destination diversification patterns before and after the pandemic. In the early morning(4:30-9:00), the degree of destination diversification varies between the core and the periphery and this trend persists through the pandemic. In the late morning(9:00-12:00), a new trend of disparity appeared after the pandemic. Although those who hold higher socioeconomic status and live closer to the core have a larger range of choices for destinations, the difference of range did not lead to differences in diversification before the pandemic, due to the discretionary nature of the elderly's trip. In contrast, as the elderly were forced to search alternative destinations right after the outbreak of the pandemic, the range of choices became an important factor causing observable differences in destination diversification. The findings suggest that the travel disparity observed during the pandemic is due to the difference in the range of choices by socioeconomic and spatial factors.

• Journal of the Korean association of regional geographers
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• v.16 no.2
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• pp.137-153
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• 2010

The issue of spatial equity in public healthcare services is an important issue in rural areas with lower healthcare resources. This study investigates spatial accessibility to public healthcare services by public transport, focusing on bus travel in Yeoju-gun, Gyeonggi-do. We comprehensively analyzed the spatial patterns of accessibility using the measures based on spatial interaction, and compared them with the accessibility patterns by car travel. As a result of analysis, the spatial disparity between the central part of Yeoju-gun (lower accessibility) and its peripheries (higher accessibility) was identified. More specifically, the area and population of lower accessibility areas are greater than those of higher accessibility areas, and the difference in the accessibility values between higher and lower accessible areas is considerably large. Moreover, the accessibility patterns appears somewhat different according to two different travel modes. In particular, about 20% of the entire area presented the opposite patterns between two travel modes. Interestingly, less populated peripheral areas are more included in higher accessible areas by car.

• Journal of Korean Society of Rural Planning
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• v.16 no.4
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• pp.61-75
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• 2010

Daily living area can be delimited differently depending on what area is to be focused. Based on regional interaction, the present study empirically analyzed the difference between living areas focusing on rural area and ones relying on urban area. We established two types of living areas in Busan-Ulsan mega city with different focus areas (rural versus urban), using travel OD data (2006). According to the result, the fonn of spatial clusters in urban living area differed from that of spatial clusters in rural area; the boundaries of living area were not fit to those of administrative areas in both types; and living areas in both types tended to extend over more than two administrative areas. The results cast some implications concerning spatial planning and policy for living area delimitation. First, since the spatial structure and interconnection of urban area differs to those of rural area, it is required to delimit living areas discriminatively depending on the objectives of the spatial plan. Additionally, the living area should be established more specifically and systematically by further subdividing the form of spaces depending on the objectives and types of the plan. Second, the administrative areas should be consolidated now that the difference of boundaries of administrative and living areas lead to inconvenience of residents, increased administration costs and scale diseconomy. Lastly, the living areas should be delimited by the metropolitan or mega city planning and thus be reflected to its offsprings.

• Journal of Korean Society of Rural Planning
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• v.30 no.2
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• pp.13-24
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• 2024

This study conducts an analysis of social media big data pertaining to island tourism resources, aiming to discern the diverse forms and categories of island tourism favored by consumers, ascertain predominant resources, and facilitate objective decision-making grounded in scientific methodologies. To achieve this objective, an examination of blog posts published on Naver from 2022 to 2023 was undertaken, utilizing keywords such as 'Island tourism', 'Island travel', and 'Island backpacking' as focal points for analysis. Text mining techniques were applied to sift through the data. Among the resources identified, the port emerged as a significant asset, serving as a pivotal conduit linking the island and mainland and holding substantial importance as a focal point and resource for tourist access to the island. Furthermore, an analysis of the disparity between existing island tourism resources and those acknowledged by tourists who actively engage with and appreciate island destinations led to the identification of 186 newly emerging resources. These nascent resources predominantly clustered within five regions: Incheon Metropolitan City, Tongyeong/Geoje City, Jeju Island, Ulleung-gun, and Shinan-gun. A scrutiny of these resources, categorized according to the tourism resource classification system, revealed a notable presence of new resources, chiefly in the domains of 'rural landscape', 'tourist resort/training facility', 'transportation facility', and 'natural resource'. Notably, many of these emerging resources were previously overlooked in official management targets or resource inventories pertaining to existing island tourism resources. Noteworthy examples include ports, beaches, and mountains, which, despite constituting a substantial proportion of the newly identified tourist resources, were not accorded prominence in spatial information datasets. This study holds significance in its ability to unearth novel tourism resources recognized by island tourism consumers through a gap analysis approach that juxtaposes the existing status of island tourism resource data with techniques utilizing social media big data. Furthermore, the methodology delineated in this research offers a valuable framework for domestic local governments to gauge local tourism demand and embark on initiatives for tourism development or regional revitalization.