What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice
What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice
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DOI：
10.1016/j.tra.2003.10.005
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发表时间：
2004-03-01
影响因子：
6.4
通讯作者：
Mokhtarian, PL
中科院分区：
文献类型：
--
作者：
Choo, S;Mokhtarian, PL
传统上，经济学家和市场研究人员一直对识别影响消费者购车行为的因素以估计市场份额感兴趣，并为此开发了各种车型选择模型。然而，他们通常不会考虑消费者的出行态度、个性、生活方式和机动性作为可能影响车辆类型选择的因素。本研究的目的是探讨这些因素与个人车辆类型选择的关系，并基于这些因素以及典型的人口统计学变量，建立一个车辆类型选择的分解模型。这项研究的数据来自1998年对旧金山湾区1904名居民的邮寄/回寄调查。因变量(受访者最常驾驶的车辆类型)被分为九类：小型、紧凑型、中型、大型、豪华、运动型、小型货车/货车、皮卡和运动型多功能车。在这些分类的基础上，我们首先分别将交通工具类型与出行态度、个性、生活方式、机动性和人口统计变量联系起来，采用单因素方差分析和卡方检验。然后，对车辆选型的多项Logit模型进行了估计。最终的模型(具有IIA属性)证实，所分析的变量显著影响个人的车辆类型选择。这些结果不仅为汽车制造商提供了有用的背景，也为与汽车保有量、交通拥堵和能源消耗相关的交通政策的决策者和规划者提供了有用的背景。(C)2003爱思唯尔有限公司。保留所有权利。
Traditionally, economists and market researchers have been interested in identifying the factors that affect consumers' car buying behaviors to estimate market share, and to that end they have developed various models of vehicle type choice. However, they do not usually consider consumers' travel attitudes, personality, lifestyle, and mobility as factors that may affect the vehicle type choice. The purpose of this study is to explore the relationship of such factors to individuals' vehicle type choices, and to develop a disaggregate choice model of vehicle type based on these factors as well as typical demographic variables. The data for this study comes from a 1998 mail-out/mail-back survey of 1904 residents in the San Francisco Bay Area. The dependent variable (the vehicle type the respondent drives most often) is classified into nine categories: small, compact, mid-sized, large, luxury, sports, minivan/van, pickup, and sport utility vehicle. Based on these categories, we first related vehicle type to travel attitude, personality, lifestyle, mobility, and demographic variables individually, using one-way analysis of variance and chi-squared tests. Then, a multinomial logit model for vehicle type choice was estimated. The final model (which possessed the IIA property) confirmed that the variables analyzed significantly affect an individual's vehicle type choice. These results provide useful background not only to vehicle manufacturers, but also to decision makers and planners of transportation policy related to vehicle ownership, traffic congestion, and energy consumption. (C) 2003 Elsevier Ltd. All rights reserved.