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  1. National Taiwan Ocean University Research Hub
  2. 人文社會科學院
  3. 海洋觀光管理學士學位學程(系)
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/21776
DC FieldValueLanguage
dc.contributor.author黃昱凱en_US
dc.contributor.author馮正民en_US
dc.contributor.author涂詠然en_US
dc.date.accessioned2022-05-23T07:21:24Z-
dc.date.available2022-05-23T07:21:24Z-
dc.date.issued2020-09-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/21776-
dc.description.abstract人工智慧將大幅改變人們生活的方式,而在這一波人工智慧的變革中,「人類趕不上AI科技變化的速度,無法即時調整與適應」可能是比發展AI技術更為重要的議題。道路運輸由現今的輔助駕駛發展到日後的自動駕駛將是不可避免的趨勢,目前我們已由輔助駕駛進入自駕車的Level 3階段,且Level 3自駕車的市場擴散型態將對於日後發展無人駕駛有著深遠的影響。本文以Level 3自駕車為研究對象,經由建構羅吉特模型分析消費者選擇Level 3自駕車的因素及其市場擴散型態。研究結果發現購買價格、行駛成本及安全性是影響購買選擇行為的重要因素,且購買價格以及行駛成本存在著較大的個體間差異。本文之研究成果將可協助交通管理單位建構更完善交通環境時的重要參考依據。Artificial intelligence will inevitably dramatically change the way people live. In this wave of artificial intelligence changes, ''humans can't keep up with the speed of AI technology changes, and they can't adjust and adapt in time'' may be more important issues than the development of AI technology. The development of road transport from today's assisted driving to future autonomous driving will be an inevitable trend. At present, we have entered the Level 3 stage of self-driving by assisted driving, and the market diffusion pattern of Level 3 self-driving will be developed for the future. Driving has far-reaching effects. This paper takes Level 3 self-driving as the starting point to explore the factors of consumers' choice of Level 3 self-driving and its market diffusion pattern. This study explores the factors and market diffusion patterns of consumers choosing Level 3 self-driving cars by constructing logit model. The results of the study found that purchase price, driving cost, and safety are important factors affecting purchase choice behavior, and there are large individual differences in the purchase price and driving cost. The research results will help traffic management units to build an important reference basis for a better traffic environment.en_US
dc.language.isoen_USen_US
dc.publisher中華民國運輸學會en_US
dc.relation.ispartof運輸學刊  en_US
dc.subject人工智慧en_US
dc.subject自駕車en_US
dc.subject羅吉特模型en_US
dc.subjectArtificial intelligenceen_US
dc.subjectSelf-drivingen_US
dc.subjectLogit modelen_US
dc.title影響自駕車選擇行為因素之初探en_US
dc.title.alternativeExplore of Research on Factors Effects of Self-driving Choice Behavioren_US
dc.typejournal articleen_US
dc.relation.journalvolume32en_US
dc.relation.journalissue3en_US
dc.relation.pages229-267en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypejournal article-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.deptCollege of Maritime Science and Management-
crisitem.author.deptBachelor Degree Program in Ocean Tourism Management-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Maritime Science and Management-
Appears in Collections:海洋觀光管理學士學位學程(系)
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