Risk Analysis of the Escalator Transfer Using buildingEXODUS / 以buildingEXODUS探討電扶梯運輸風險分析

碩士 / 弘光科技大學 / 職業安全與防災研究所 / 106 / Escalators are commonly used devices in the public places, such as airports, offices, hotels, and hospitals. According to the data, Americans take 180 million rides of escalator a day. In the meantime, the escalator related accidents also reach the number of 16 thousand each year. Many incidents are caused by overcrowding. Thus, this study investigates the safety of escalator transfer by simulations.
Five scenarios are studied in the research by using buildingEXODUS. We arrange different escalator speed, walking speed and social relationship, etc. in order to observe overcrowding on the landing, Personal Elapsed Time (PET), and Total Elapsed Time (TET). Then safety factors of the escalator transfer can be studied.
When escalator speed is slower than walking speed, and the ratio of escalator to walking speed is less than and close to 1, the landing is not crowded. However, groups with social relationship will result in different consequences. When from the Landing inserting a few groups, those groups will form obstacle. The overcrowding occurs first from the Landing, then on the escalator, lastly in the entrance.
Overcrowding is mostly determined by the matching of the walking speed and the speed of the escalator. When setting the speed of the escalator, it is recommended to consider the type of users, better yet factoring in the personal space needs and social relationship. Generally, people without social relationship tend to maintain a greater distance, while those with social relationship tend to gather closer. Therefore, the situations are different. According to studies, Small groups can facilitate traffic flow, while large groups can become mobile obstructions that impede traffic efficiency.

Identiferoai:union.ndltd.org:TW/106HKU00590001
Date January 2018
CreatorsChen Ruei Lin, 陳芮琳
Contributors呂牧蓁
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format118

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