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Y.-Y. Chun et al.
their satisfaction with the modes; (ii) students’ perceptions about the dis-/advantage
of car ownership; (iii) students’ car sharing adoption (use) intentions; (iv) potential
critical factors affecting their decisions toward car sharing adoption.
Based on the literature review analysis and semi-structured interviews, this
study formulated the hypotheses that the identified factors positively (or negatively)
influence the car sharing adoption intention.
10.3 Factors Affecting Car Sharing Adoption
The recent studies have observed socio-demographic variables as determining factors
that help to increase the diffusion of car sharing services (Kim 2015; Metz 2012;
Oakil et al. 2016; Prieto et al. 2017). Some authors examined the influences of attitudinal factors on car travel behavior toward car sharing and car ownership decisions, in
addition, while the distance between stations, ability to return the vehicle easily, the
service time of day, reservation process, and available type of vehicle were also the
factors pointed out by several authors. Overall, a summary of the relevant studies
shows that there can be many factors found to influence car sharing adoption decision
but grouped mainly into three categories. They are (i) socio-economic and demographic factors, (ii) psychological factors, and (iii) infrastructural factors. Details are
described as follows.
10.3.1 Socio-economic and Demographic Factors
Socio-economic factors include variables related to socio-economic development
such as population density and urbanization. The socio-economic and demographic
factors have been highlighted by many authors to explain the propensity to join a
car sharing model (Costain et al. 2012; Prieto et al. 2017; Clewlow 2016; Correia
and Viegas 2011; Efthymiou et al. 2013; Zheng et al. 2009). More specifically, they
mainly used the market segmentation based on sociodemographic attributes such as
age, gender, family size, education, or income level to describe user profiles that are
the most likely to use car sharing services.
Several studies found that car sharing choice is driven by young adults between
ages 25 and 45 (Prieto et al. 2017; Cervero et al. 2007; Gleave 2017; Le Vine et al.
2014). Because their attitudes toward the automobile are different from those of
the older generations, the younger generation is more prone to share cars (Prieto
et al. 2017). Travel behavior of young age toward the decreasing preference for
owning/using a car for traveling (Noble 2005; Nordbakke and Ruud 2005) suggests
that they are more likely to use an alternative transport mode including shared vehicles. The evidence based on user’s socio-economic profiles suggested that male
respondents tend to favor car sharing services (Burkhardt and Millard-Ball 2006;
Prieto et al. 2017; Le Vine et al. 2014; Fukuda et al. 2005). Concerning the result of
Y.-Y. Chun et al.
their satisfaction with the modes; (ii) students’ perceptions about the dis-/advantage
of car ownership; (iii) students’ car sharing adoption (use) intentions; (iv) potential
critical factors affecting their decisions toward car sharing adoption.
Based on the literature review analysis and semi-structured interviews, this
study formulated the hypotheses that the identified factors positively (or negatively)
influence the car sharing adoption intention.
10.3 Factors Affecting Car Sharing Adoption
The recent studies have observed socio-demographic variables as determining factors
that help to increase the diffusion of car sharing services (Kim 2015; Metz 2012;
Oakil et al. 2016; Prieto et al. 2017). Some authors examined the influences of attitudinal factors on car travel behavior toward car sharing and car ownership decisions, in
addition, while the distance between stations, ability to return the vehicle easily, the
service time of day, reservation process, and available type of vehicle were also the
factors pointed out by several authors. Overall, a summary of the relevant studies
shows that there can be many factors found to influence car sharing adoption decision
but grouped mainly into three categories. They are (i) socio-economic and demographic factors, (ii) psychological factors, and (iii) infrastructural factors. Details are
described as follows.
10.3.1 Socio-economic and Demographic Factors
Socio-economic factors include variables related to socio-economic development
such as population density and urbanization. The socio-economic and demographic
factors have been highlighted by many authors to explain the propensity to join a
car sharing model (Costain et al. 2012; Prieto et al. 2017; Clewlow 2016; Correia
and Viegas 2011; Efthymiou et al. 2013; Zheng et al. 2009). More specifically, they
mainly used the market segmentation based on sociodemographic attributes such as
age, gender, family size, education, or income level to describe user profiles that are
the most likely to use car sharing services.
Several studies found that car sharing choice is driven by young adults between
ages 25 and 45 (Prieto et al. 2017; Cervero et al. 2007; Gleave 2017; Le Vine et al.
2014). Because their attitudes toward the automobile are different from those of
the older generations, the younger generation is more prone to share cars (Prieto
et al. 2017). Travel behavior of young age toward the decreasing preference for
owning/using a car for traveling (Noble 2005; Nordbakke and Ruud 2005) suggests
that they are more likely to use an alternative transport mode including shared vehicles. The evidence based on user’s socio-economic profiles suggested that male
respondents tend to favor car sharing services (Burkhardt and Millard-Ball 2006;
Prieto et al. 2017; Le Vine et al. 2014; Fukuda et al. 2005). Concerning the result of