| Title |
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 - |
| Authors |
Lee, Sunjae ; Park, So-Hyun |
| DOI |
https://doi.org/10.5659/JAIK_PD.2018.34.3.129 |
| Keywords |
Elderly Walking ; Mobile Big Data ; GPS ; Subway Station Influence Area ; Walking Distance ; Walking Pattern |
| 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. |