Journal of Cadastre & Land InformatiX (지적과 국토정보)

LX Spatial Information Research Institute (한국국토정보공사 공간정보연구원)
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Understanding elderly's travel pattern based on individual trip trajectory using smart card data

스마트카드 데이터를 활용한 통행궤적 기반 고령인구 통행유형 분류

  • 이주윤 (이화여자대학교 일반대학원 사회과교육학과 지리학 전공) ;
  • 강영옥 (이화여자대학교 사회과교육과 및 빅데이터 분석학 협동과정)
  • Received : 2022.09.26
  • Accepted : 2022.11.22
  • Published : 2022.12.10
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Abstract

With the extension of the average life span and the rapid aging of the population, defining elderly population as a single group is difficult as the physical, economic and social conditions of individual have become different. Therefore, policies that take into account the characteristics of each group are required. The purpose of this study is to classify individual travel types and to analyze the characteristics of each travel type, based on individual public transportation trajectory data as known as smart card data. Among the four classified types, the long-distance low-frequency stay type and the short-range medium-frequency mobile type show external activity traffic characteristics for retirement leisure, while the long-distance high-frequency stay type and the long-distance high-frequency mobile group include regular commuting. Traffic variability and residence areas of stay were identified in terms of each classified travel type. The results of this study provide the important suggestions for establishing a transportation policy that takes into account the characteristics of each type of elderly population in Seoul.

평균수명의 연장과 급속한 고령화로 고령 인구 개인의 신체적, 경제적, 사회적 여건이 상이해짐에 따라 해당 연령층을 하나의 집단으로 정의하기 어려워지고 있다. 이에 해당 연령층을 다양한 특성을 가지는 집단으로 보고, 각 특성에 따른 정책 수립이 요구되고 있다. 본 연구는 대중교통 이용 궤적 데이터인 스마트카드 자료를 활용하여 고령 인구 개인이 가지는 통행의 특성에 따라 유형을 분류하고, 유형별 통행의 시공간적 특성 분석을 목적으로 하였다. 스마트카드 자료의 전처리를 통한 개별 사용자의 통행특성을 정의하였으며, 이에 따라 유사한 통행특성을 보이는 사용자의 유형을 분류하였다. 분류된 4개 유형 중 원거리 저빈도 체류형과 근거리 중빈도 이동형 유형은 은퇴 후 여가를 위한 외부 활동 통행 특성을 보이며, 원거리 고빈도 체류형, 원거리 고빈도 이동형 그룹은 정기적 출퇴근 통행을 포함한다. 본 연구결과는 서울시 고령 인구의 유형별 특성을 고려한 교통정책 수립에 활용될 수 있을 것으로 기대된다.

Keywords

Acknowledgement

본 논문은 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었음(과제번호 RS-2022-00143782)

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