• Title/Summary/Keyword: Multi Variate Regressions

Search Result 2, Processing Time 0.015 seconds

Analytical Model in Pedestrian Accident by Van Type Vehicle (Van 형 차량의 보행자 충돌 사고 해석 모델)

  • Ahn, Seung-Mo;Kang, Dae-Min
    • Journal of the Korean Society of Manufacturing Process Engineers
    • /
    • v.7 no.4
    • /
    • pp.115-120
    • /
    • 2008
  • The fatalities of pedestrian accounted for about 40.0% of all fatalities in Korea (2005 year). In pedestrian involved accident, the most important data to inspect accident is throw distance of pedestrian. The throw distance of pedestrian can be influenced by many variables, such as vehicular frontal shape, vehicular impact speed, the offset of impact point, the height of pedestrian, and road condition. The trajectory of pedestrian after collision can be influenced by vehicular frontal shape classified into sedan type, box type, SUV type and van type. Many studies have been done about pedestrian accident with passenger car model and bus model for simple factors. But the study of pedestrian accident by van type vehicle was much insufficient, and even that the influence of multiple factors such as the offset of impact point was neglected. In this paper, a series of pedestrian kinetic simulation were conducted to inspect relationship between throw distance and multiple factors with using PC-CRASH s/w, a kinetic analysis program for a traffic accident for van type. By based on the simulation results, multi-variate regression was conducted, and regression equation was presented.

  • PDF

Factors Affecting Dietary Behavior Change of Vulnerable Elderly Based on the Stage of Change (변화단계 이론에 근거한 취약계층 노인의 식 행위 관련 요인분석)

  • Ko, Young;Yim, Eun shil
    • 한국노년학
    • /
    • v.30 no.3
    • /
    • pp.695-708
    • /
    • 2010
  • Purpose: This study was to explore the factors affecting on Dietary Behavior Change of the vulnerable elderly based on the Stage of Change. Methods: This study was a secondary analysis of the data collected from 1,262 elderly who were participated in the case management program. Total 984 participants who responded all questionnaire were included in the analysis. The variables included general characteristics, health behavior, health status, and dietary behavior stage. The data collected were analyzed by descriptive statistics, trend test and multi-variate logistic regressions. Results: about twenty four percent of the vulnerable elderly subject was pre-contemplation stage and 46.1% of them was contemplation stage of dietary behavior. Having a depressive mood, dependance of Instrumental Activity of Daily living, and being medicaid affected on starting or on maintaining healthy dietary behavior in vulnerable elderly negatively. Conclusion: The tailored nutritional intervention depending on dietary behavior stage are needed for the vulnerable elderly to improve the health. The program which can maintain the function remained of elderly and give psychological support together will be more effective.