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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 商學研究所
Please use this identifier to cite or link to this item: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88348
Title: 論圖像資訊對電動機車使用者換電站選擇之影響
The Effect of Infographics on Electric Scooter Users' Selection of Battery Swapping Stations
Authors: 林渟恩
Ting-En Lin
Advisor: 柯冠州
Kuan-Chou Ko
Keyword: 電動機車,里程焦慮,換電,導航指示,助推,
Electric scooters,range anxiety,battery swapping,navigational instruction,nudging,
Publication Year : 2023
Degree: 碩士
Abstract: 隨著社會對環境議題關注度的提升以及科技的進步,以電能為能量補給方式的交通工具越趨普及。在台灣,電動機車是一種廣泛被大眾接受的交通工具。然而,隨著使用者人數的增加,電動機車面臨著電池分配不均的問題,這導致了使用者體驗上的不便與不滿意。儘管近年來對電能載具的研究蓬勃發展,先前的研究主要集中於解決因行駛里程不足而引起的里程焦慮問題,但對於電動機車的研究相對較少,且很少有探究使用者的換電站選擇行為的研究。因此,本研究的主要目標在於填補此研究缺口,透過改變圖像資訊的呈現方式,試圖引導使用者前往特定的換電站。本研究提出假設:提供電動機車使用者換電站的導航指示,將會引導他們選擇該路線上的換電站。
本研究透過網路問卷設計一項行為實驗,總共募集了191位電動機車的使用者。研究結果顯示,當使用者被提供的導航資訊是繞道前往擁有較高電量的換電站時,他們會選擇該繞路但電量高的換電站,相反地,若導航資訊建議使用者沿著主要幹道順路行駛,即使該換電站的電量較低,使用者仍然傾向於選擇該路線上的換電站。這些分析結果皆支持本文所提出的假說。此外,透過使用者資料的進一步分析,本研究發現採用具有回饋性的安時計價方案的使用者,相對於以里程計價的方案的使用者更願意前往繞路的高電量換電站。
透過此實驗研究,電動機車供應商可以更瞭解使用者在選擇換電站時的偏好。本研究旨在提升企業對於電動機車使用者換電行為的瞭解,透過瞭解使用者解讀圖像資訊的方式,企業能夠提供更符合使用者需求的整合性圖像資訊。這不僅能讓使用者更容易換到電量較高的電池,解決使用者因頻繁換電所帶來的不便,同時也能實現電池的均勻分配,降低電池的損耗速度,實現永續發展的目標,企業也可以降低企業必須透過人力以改善電池分配不均的成本。
With the increasing societal emphasis on environmental issues and advancements in technology, there is a growing popularity of transportation vehicles that rely on electrical energy as a means of power supply. In Taiwan, electric scooters have become widely adopted as a popular mode of transportation. However, as the number of users continues to rise, the issue of uneven battery demand distribution has emerged, leading to inconveniences and user dissatisfaction. Although research on electric vehicles has made significant progress in recent years, previous studies have predominantly focused on addressing range anxiety caused by insufficient driving range. Conversely, there has been relatively limited research specifically dedicated to electric scooters, with a scarcity of studies exploring user behavior in the selection of battery swapping stations. Consequently, the primary objective of this study is to fill this research gap by examining the impact of presenting visual information in different ways to guide users towards specific battery swapping stations. Therefore, this research hypothesizes that providing electric motorcycle users with navigational instructions to a swapping station will lead them to choose the swapping station located on that route.
The researcher designed an online questionnaire-based behavioral experiment and recruited 191 electric scooter users. The results revealed that when users were provided with navigational information that involved detouring to a battery swapping station with a higher battery level, they were more likely to choose that detour option despite the longer route. Conversely, when the navigational information suggested users to travel along the main road, even if the battery level at that station was lower, users still tended to select the station along the main route. These findings provide support for the hypothesis proposed in this paper. Furthermore, through further analysis of user data, the study found that users who adopted a feedback-based ampere-hour plan were more willing to visit detouring stations with higher battery levels compared to users who followed mileage plan.
Through this experimental study, electric scooter suppliers can gain a better understanding of users' preferences when selecting battery swapping stations. This research aims to enhance companies' understanding of user behavior regarding battery swapping in electric scooters. By understanding how users interpret visual information, companies can provide integrated visual information that better aligns with user needs. This not only makes it easier for users to find batteries with higher charge levels, resolving the inconvenience caused by frequent battery swapping, but also enables a more balanced distribution of batteries, reducing battery degradation and contributing to sustainable development goals. Additionally, companies can reduce the costs associated with manually improving battery demand distribution.
URI: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88348
DOI: 10.6342/NTU202302121
Fulltext Rights: 同意授權(限校園內公開)
metadata.dc.date.embargo-lift: 2028-07-26
Appears in Collections:商學研究所

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