标题: 电动机车使用特性与购买行为之研究
A Study on The Using Characteristics and Purchasing Behaviors of Electric Motorcycles
作者: 张丞邦
Chang, Cheng-Pang
曾国雄
Tzeng Gwo-Hsiung
运输与物流管理学系
关键字: 电动机车;属性门槛值模式;罗吉特模式;叙述性偏好法;Electric Motorcycle;Attribute Thresholds Logit Model;Logit Model;Stated Preference Method
公开日期: 1996
摘要: 近年来国内各大都市因汽机车数量急遽增加,致使空气及噪音污染
日益严重,发展低污染、低噪音之电动机车为改善都市内污染之一帖良方
。然而电动机车为一崭新之产品, 目前市场上之使用者极为稀少,未来
若成功推广,消费者使用与厂商提供服务均可能发生一些无法预知之状况
,本研究藉由访查已有实际骑乘经验之电动机车车主,以确实明瞭其 使
用状况。本研究并以叙述性偏好法(Stated Preference Method)设计问卷
,向一般民众 及电动机车车主进行调查,以作为构建个体选择模式(
Discrete Choice Models)之依据,为了克服传统可补偿性模式(
Compensatory Models)高估效用的情形,将门槛值纳入个体选择模式,并
估算消费者购车决策属性之门槛值,以作为研拟电动机车推广策略之参考
。研究结果显示使用者对电动机车之爬坡能力、续航力、充电时间、残存
电量显示可靠度等属性之评价为不满意,对于维修地点之方便性亦感到不
满意,电动机车较常维修保养之项目为电池、充电器与控制器,由此可见
欲成功地推广电动机车,提升电池性能与其维修之方便性该是十分重要之
课题。在个体选择模式方面,引入槛值之模式校估结果以非线性属性门槛
值模式(Non-linear Attribute Thresholds Logit Models)之预测能力最
佳,且属性门槛值模式(Attribute Thresholds Logit Models)皆优于罗
吉特模式(Logit Models )。
In recent years, the numbers of vehicle in big cities of our
country are increasing, so the air and noise pollution are
getting more and more worse. Therefore the research of low
pollution and noise electric motorcycles is a good method to
ameliorate the pollution in the cities. Electric motorcycles
are an new product, and the users are rare now. If the promotion
is successful in the future, there will be some
unexpected problems in consumer usage and the service which
provided by the manufacturers. We interviewed the owners of
electric motorcycles who have practice using experience to
realize the using situation.We also use Stated Preference Method
to design questionnaires.We investigate common peoples and the
owners of electrics motorcycles to be the basis of Discrete
Choice Models.To overcome the overstated effect of traditional
Compensatory Models,we use the thresholds Discrete Choice
Models to evaluate the thresholds for the decision of consumers
purchase.To be the reference of developing electric motorcycles
promotion strategies.The result indicates the users do not
satisfy with the climbing ability, range, charging time,
dependable remaining electricity indicator, and neitherdo the
convenience of repairing places. The items which should be
repaired more frequently are batteries, chargers, and
controllers. Therefore, to promote electrical motorcycle
successfully, the development of battery performance and the
convenience of repairing places are very important. In the
Discrete Choice Models, the Non-linear Attribute Thresholds
Logit Models has better prediction.And the Attribute Thresholds
Logit Models are better than the Logit Models.
URI: http://140.113.39.130/cdrfb3/record/nctu/#NT850118025
http://hdl.handle.net/11536/61542
显示于类别:Thesis