서울시 연령대별 비통근 통행 집중지역 특성 분석 : 생활이동 데이터를 활용하여

초록

Amidst various changes in urban areas, non-commuting travel is gradually increasing while maintaining a complex relationship with commuting travel. Information and communication technology advancements have enabled the analysis of mobile phone location-based mobility data by capturing people's actual movements. While numerous studies have analyzed commuting patterns or focused on specific age groups and socially vulnerable populations, few studies have investigated the characteristics of areas where non-commuting travel destinations are concentrated based on age preferences. Additionally, research utilizing big data on mobile phone location-based daily mobility is scarce. This study utilizes big data on mobile phone location-based daily mobility to identify age-specific non-commuting travel patterns and areas where non-commuting travel is concentrated by age group. An analysis of the characteristics of these central non-commuting travel areas reveals that younger age groups focus their non-commuting travel around leisure and cultural facilities, which demonstrates a tendency to tolerate long travel times if it satisfies their demand for non-commuting activities. This finding suggests the need for policies that encourage long-duration travel via public transportation to support a sustainable transportation system. Conversely, older age groups, with limited leisure activity spaces, prefer locations such as squares and urban natural parks. Areas with excellent subway accessibility also see a concentration of non-commuting travel. Thus, additional leisure spaces, such as squares for older adults, are needed. This study is significant as it visually presents age-specific non-commuting travel patterns using large-scale mobility data and demonstrates variations in non-commuting travel concentration areas and their influencing factors by age group.

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