Travel Characteristics Of Users Research Articles

The intention of continual use of dockless bike sharing connecting with metro: A perspective based on loyal users

The aim of this study is to explore the factors influencing the intention to continually use dockless bike sharing connecting with metro in the context of various new convenient modes of transportation. Firstly, based on the questionnaires collected in Nanjing, China, basic attributes and travel characteristics of users who use dockless bike sharing to connect with the metro are compared and analyzed. Secondly, an ordered logit model is established to investigate the influencing factors of the continuous usage intention of the dockless bike sharing connecting with metro. The model results indicate that: (1) the increase in the monthly income and the education level has a restraining effect on the intention to continue using dockless bike sharing connecting with the metro, although this trend of reduced usage intention is less pronounced among users with higher education levels. (2) Travel duration and travel time also negatively affect the intention to continue using this mode. Interestingly, during peak hours on weekdays, users exhibit a higher willingness to use dockless bike sharing connecting with the metro. (3) Factors such as saving time, solving taxi availability issues, improving accessibility in remote areas, and users' environmental consciousness encourage the continued use of this travel mode. In contrast, high accessibility, network congestion, difficulties in finding parking lots, personal information security risks, high costs, imbalances in supply and demand during peak periods, traffic congestion, and bad weather discourage users to continuously use this mode. Finally, based on these findings, several policies and suggestions to promote the continuous use of dockless bike sharing connecting with the metro are proposed.

A charging pricing strategy of electric vehicle fast charging stations for the voltage control of electricity distribution networks

With the increasing number of electric vehicles (EVs), the EV fast charging load will significantly affect the voltage quality of electricity distribution networks. On the other hand, EVs have potentials to change the choices of charging locations due to the incentives from the variations of charging prices, which can be considered as a flexible response resource for electricity distribution networks. In this paper, a charging pricing strategy of EV fast charging stations (FCSs) was developed to determine the pricing scheme for the voltage control of electricity distribution networks, which consisted of a simulation model of EV mobility and a double-layer optimization model. Considering the travel characteristics of users, the simulation model of EV mobility was developed to accurately determine the fast charging demand. Taking the total income of FCSs and the users’ response to the pricing scheme into account, the double-layer optimization model was developed to optimize the charging pricing scheme and minimize the total voltage magnitude deviation of distribution networks. A test case was used to verify the proposed strategy. The results show that the spatial distribution of EV fast charging loads was reallocated by the proposed charging pricing scheme. It can also be seen that the proposed strategy can make full use of the response capacity from EVs to improve the voltage profiles without decreasing the income of the FCSs.