More positive perceptions of the route to rail stops (pleasantness, traffic safety, and crime safety) were also held by riders. The riders had more positive expectations for light rail’s impact on the neighborhood than non-riders these broad expectations were more powerfully associated with rail ridership than individual barriers to use, such as time constraints or weather. The strongest differences were between the no expect/no ride and expect/ride groups. We examine neighborhood perceptions of four groups, created by combining Time-1 expectations to ride with Time-2 ridership: No expect/no ride, no expect/ride, expect/no ride, and expect/ride. We compare Time-1 expectations to use rail with Time-2 evidence of rail use, based on both self-reported and objective GPS/accelerometer measures of ridership. We survey the same neighborhood residents before and after they receive a new complete street renovation with five new light rail stops. Implications for policy-making and suggestions for future research are discussed.Īlthough complete street policies are proliferating, little is known about how nearby residents perceive and act on their new active transportation opportunities. Second, compared with other surveys obtained from the Internet among 307 non-users and non-owners of PMVs, there are significant differences in perceived risk, policy measures and intentions to ride PMVs on the road. The results of multigroup SEM analysis show that there are significant differences in the path of user intentions to ride PMVs on the road. In addition, there are four adjustment variables: gender, age, educational level and experience witnessing others riding PMVs on the road. However, product satisfaction has no significant impact on user intentions to ride PMVs on the road, but through risk perception, it has a mediating effect on user intentions. The results from analyzing the questionnaires show that performance expectancy, effort expectancy, social influence, perceived risk and policy measures have a significant positive impact on user intentions to ride PMVs on the road. First, a questionnaire survey was conducted among 418 PMV users in China, and the factors affecting their intentions to ride PMVs on the road were analyzed through structural equation modeling (SEM). This research adopts an online questionnaire based on the unified theory of acceptance and use of technology model and introduces perceived risk, product satisfaction, and policy measures to construct a model of the impact mechanism of user intentions to ride PMVs on the road. Research on the demand and intentions of PMV users holds great significance for road safety and policy formulation. In China, there are no road rights for personal mobility vehicles (PMVs), but sales of PMVs in China are rapidly increasing, and at present, a large group of PMV users has been formed.
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