Travel Intention with Shared Electric Vehicles Based on Theory of Multiple Motivations for Urban Governance

Determining the travel intention of residents with shared electric vehicles(EVs)is significant for promoting the development of low-carbon transportation,considering that common problems such as high idle rate and lack of attractiveness still exist.To this end,a structural equation model(SEM)based on the theory of multiple motivations is proposed in this paper.First,the influencing motivations for EV sharing are divided into three categories:consumer-driven,program-driven,and enterprise-driven motivations.Then,the intentions of residents in Shanghai to travel with shared EVs are obtained through a survey questionnaire.Finally,an SEM is constructed to analyze quantitatively the impact of different motivations on the travel intention.The results show that consumer-driven motivations with impact weights from 0.14 to 0.63 have the overwhelming impact on travel intention,compared to program-driven motivations with impact weights from−0.14 to 0.15 and enterprise-driven motivations with impact weights from 0.02 to 0.06.In terms of consumer-driven motivations,the weight of green travel awareness is the highest.The implications of these results on the policy to enable large-scale implementation of shared EVs are discussed from the perspectives of the resident,enterprise,and government.

Research on High Precision Autonomous Navigation of Shared Balancing Vehicles Based on EKF-SLAM

In view of the technical difficulties of autonomous navigation in local areas,this paper proposes a high-precision autonomous navigation shared bal-ancing bike system based on EKF-SLAM.This system uses the EKF-SLAM algorithm in robot localization to achieve simultaneous localization and map con-struction using the extended Kalmanfilter.At the same time,GPS and IMU are also employed for absolute positioning,and point cloud matching is used for rel-ative positioning to achieve multisensor fusion positioning.For the convenience of users,this system uses the RNN-T model for speech recognition destinations.Through experimental verification,the EKF-SLAM-based autonomous naviga-tion technology proposed in this paper can meet the accurate localization service and can realize the function of high precision autonomous navigation and voice recognition of destinations for shared balancing vehicles in a local area.

Convergence of emerging transportation trends:A comprehensive review of shared autonomous vehicles

The mobility landscape is experiencing major changes due to two emerging transportation trends,autonomous vehicles(AVs)and on-demand transportation,and the convergence of these smart mobility innovations as shared autonomous vehicles(SAVs)can considerably alter travel behavior and consequently the ecological and societal aspects of the transportation sector.On-demand autonomous mobility is a promising transportation mode,but further research is necessary to evaluate its various aspects and implications prior to widespread adoption.Thus,this study investigates the effects of integrating automation and on-demand mobility by analyzing the effects on the environment,public transportation,land use,vehicle ownership,and public acceptance.A comprehensive literature review was performed,and through a detailed review of 210 articles,the impacts of each of these categories were determined and classified according to their causes,and the number of publications with which they were cited in the literature was determined.The review showed that SAVs can either positively or negatively impact categories and have the potential to minimize mobility obstacles and transportation inequity if legislators use technology to develop a better transportation system by initiating effective policies that govern the four impacted areas.A list of 22 policy recommendations designed to avoid the negative consequences of SAVs by maximizing the benefits of the technology while limiting the associated risks was also identified.The findings of this review will be beneficial to AV manufacturers,transportation professionals,and especially policymakers,who play an integral role in shaping how society benefits from SAV technology.