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Analysis of Elderly's Walking Patterns near Metro-stations in Seoul by Using Smartphone Pedestrian Movement Data - An Empirical Study Based on "WalkOn" App Big Data -

스마트폰 보행이동 데이터를 활용한 노인의 역세권 이용실태 분석 - "WalkOn" APP의 서울시 빅데이터를 기반으로 -

  • Received : 2017.11.21
  • Accepted : 2018.03.05
  • Published : 2018.03.30

Abstract

The purpose of this study is to analyze the daily living area of the elderly using the vast amount of travel route data collected through smart phones. In order to analyze the utilization status of the elderly into the visiting area and the living area, the subway station influence area was typed based on the number and ratio of the elderly visiting and the elderly living there. The characteristics of the elderly visiting area and the living area of the subway station area were derived by analyzing the walking route data for the three types of subway station influence areas where the elderly visit and live. First, we derive the range of visiting area and living area of the elderly near the subway station. Second, we derive the characteristic of moving distance which causes the linked walking of the elderly. Third, destination distribution and facility utilization are influenced by the subject of use, movement pattern, and facility awareness.

Keywords

Acknowledgement

Supported by : 한국연구재단, 서울대학교

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