Scenario Planning of Smart Mobility Aids

碩士 === 國立中央大學 === 企業管理研究所 === 98 ===   This study use “Markov Transition Scenario Planning” method to Scenario Analysis, Foresight the smart mobility aids appearance, control method, power source, necessary functions for elder.   After analysis, the key decision factors of future smart mobility aids...

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Main Authors: Pei-Jhen Jhuo, 卓佩臻
Other Authors: Yih-Chearng Shiue
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/34556843337118220358
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spelling ndltd-TW-098NCU051210322016-04-20T04:17:46Z http://ndltd.ncl.edu.tw/handle/34556843337118220358 Scenario Planning of Smart Mobility Aids 智慧型行動輔具之情境規劃 Pei-Jhen Jhuo 卓佩臻 碩士 國立中央大學 企業管理研究所 98   This study use “Markov Transition Scenario Planning” method to Scenario Analysis, Foresight the smart mobility aids appearance, control method, power source, necessary functions for elder.   After analysis, the key decision factors of future smart mobility aids are “Have seat”, “No seat”, “Completely passive”, “User control”, “Autonomous behavior”, “Battery”, “Fuel cells”, “Gasoline”, “Situational awareness”, “Mobility”, “Driving awareness”, “Ergonomic design”, “Physiological Measurement”, “Network application” and “Video Entertainment” fifteen Dimension include factors. Use the concepts of the timable states of transition of Markov Chain, and found the uncertain states of the key decision factors which are “autopilot”, “fuel cell”, “CO2 convert to oil”, “Driving awareness”, and “Network application”. Use key decision factors of Markov changeless state describes the scenario background, then adds key decision factors of Markov changeable (trend) state and uncertain state dividing into five portfolio: basis scenario, advance scenario, Experiment scenario, Breakthrough scenario and Challenge scenario. Through the aspects of trigger points, whether on anticipate possible routes could be determined, as a basis to judge whether invest funding and research or not. Yih-Chearng Shiue 薛義誠 2010 學位論文 ; thesis 114 zh-TW
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description 碩士 === 國立中央大學 === 企業管理研究所 === 98 ===   This study use “Markov Transition Scenario Planning” method to Scenario Analysis, Foresight the smart mobility aids appearance, control method, power source, necessary functions for elder.   After analysis, the key decision factors of future smart mobility aids are “Have seat”, “No seat”, “Completely passive”, “User control”, “Autonomous behavior”, “Battery”, “Fuel cells”, “Gasoline”, “Situational awareness”, “Mobility”, “Driving awareness”, “Ergonomic design”, “Physiological Measurement”, “Network application” and “Video Entertainment” fifteen Dimension include factors. Use the concepts of the timable states of transition of Markov Chain, and found the uncertain states of the key decision factors which are “autopilot”, “fuel cell”, “CO2 convert to oil”, “Driving awareness”, and “Network application”. Use key decision factors of Markov changeless state describes the scenario background, then adds key decision factors of Markov changeable (trend) state and uncertain state dividing into five portfolio: basis scenario, advance scenario, Experiment scenario, Breakthrough scenario and Challenge scenario. Through the aspects of trigger points, whether on anticipate possible routes could be determined, as a basis to judge whether invest funding and research or not.
author2 Yih-Chearng Shiue
author_facet Yih-Chearng Shiue
Pei-Jhen Jhuo
卓佩臻
author Pei-Jhen Jhuo
卓佩臻
spellingShingle Pei-Jhen Jhuo
卓佩臻
Scenario Planning of Smart Mobility Aids
author_sort Pei-Jhen Jhuo
title Scenario Planning of Smart Mobility Aids
title_short Scenario Planning of Smart Mobility Aids
title_full Scenario Planning of Smart Mobility Aids
title_fullStr Scenario Planning of Smart Mobility Aids
title_full_unstemmed Scenario Planning of Smart Mobility Aids
title_sort scenario planning of smart mobility aids
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/34556843337118220358
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