도시 시설 특성을 반영한 고령 보행자의 사고 심각도 모형 개발Development of Severity Model for Elderly Pedestrian Accidents Considering Urban Facility Factor
- Other Titles
- Development of Severity Model for Elderly Pedestrian Accidents Considering Urban Facility Factor
- Authors
- 최성택; 이향숙; 추상호; 김수재
- Issue Date
- 2015
- Publisher
- 한국안전학회
- Keywords
- urban facility factor; pedestrian safety area; severity model for pedestrian accident; ordered probit model
- Citation
- 한국안전학회지, v.30, no.1, pp.94 - 103
- Journal Title
- 한국안전학회지
- Volume
- 30
- Number
- 1
- Start Page
- 94
- End Page
- 103
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/14020
- ISSN
- 1738-3803
- Abstract
- This study analyzes the influence factors on elderly pedestrian accident. Elderly people are easy to be badly injured by caraccidents compared to younger people. Therefore, various plans and measures are required to protect elderly pedestrian from accidents.
However, pedestrian accidents studies only focused on microscopic factors such as attribute of driver, pedestrian, road design. In order toprevent pedestrian accident and reduce the severity of the accident, not only microscopic factors but macroscopic variables such as urbanplanning and facility should be considered. In this regard, this study develops an ordered probit model introduced the characteristics ofurban facility which were not considered in the previous studies. The result shows that there is higher level of accident severity in suchareas as large commercial area, well-developed area with transportation infrastructure service and non-pedestrian safety zone. Thus,various and appropriate countermeasures should be prepared in order that pedestrian accident can be prevented in the areas mentionedabove. In addition to the aforementioned variables, it is revealed that other variables including vehicle speed, gender and age ofpedestrian, weather condition, type of vehicle, etc. partly affect the severity of pedestrian accident
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Collections - College of Architecture > Urban Engineering Major > 1. Journal Articles
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