• Title/Summary/Keyword: 다차원정보배열비교법

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An Activity-Based Analysis of Contextual Information of Activity Patterns and Profiles (활동기반 접근법에 의한 활동패턴의 맥락적 정보분석과 프로파일)

  • Jo, Chang-Hyeon
    • Journal of Korean Society of Transportation
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    • v.25 no.6
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    • pp.171-183
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    • 2007
  • Urban transport demand is derived from activity participation. A variety of individual daily activities based on the decisions on activity participation result in collective spatial behavior. The travel derived from the effort to overcome the spatially distributed locations of adjacent activities represents the detailed structural relationships among activities. An activity-based approach provides an important framework of analyzing contemporary urban daily life in the sense that it studies the interaction between individuals' daily decision making and social practice in time and space, on the one hand, and socio-spatial environment on the other. The current study identifies representative patterns of urban daily activity implementations and analyzes the correlation between representative patterns and individuals' characteristics and contextual characteristics. The study shows that urban daily activity patterns can be grouped in a limited number of representative patterns, which are systematically correlated with socio-spatial characteristics. The results provide related transportation policy implications.