A Holistic Approach to Electric Shared Mobility Systems Development—Modelling and Optimization Aspects

Abstract

Due to the development of the shared economy, increasingly more shared mobility providers have launched services based on the use of electric vehicles. The increasing growth of electric shared mobility services has produced various types of problems that do not occur (or occur with a limited effect) under conventional shared mobility systems. This increase in electric shared mobility problems has led to many effects, including limitations of the system zones or going out of business. To avoid difficulties in the functioning of electric shared mobility systems, various scientific studies have been undertaken to model and optimize the operation of these systems. Modeling and optimization mainly relate to one category of the system—for example, only to bike sharing. However, to understand the system of electric shared mobility holistically, there is a need to define the criteria generally as stimulants or destimulants. Based on these assumptions, we conducted research on the identification of factors influencing the development of electric shared mobility services. We conducted our own expert research based on the Social Network Analysis method. The aim of this study was to determine the factors that influence the development or recession of services in the entire electric shared mobility market in reference to selected stakeholders. The obtained results indicate a non-standard approach to the modeling and optimization of electric shared mobility services. This study could be used as support for creating electric shared mobility models and could also be helpful for service providers or local mobility managers through the developed recommendations.

The Effects of Mobility as a Service and Autonomous Vehicles on People’s Willingness to Own a Car in the Future

“…As implications for transport policy, mobility services open new possibilities for urban development and enable decreasing the amount of parking space, if the availability and sufficient coverage of mobility services meeting the user needs can be guaranteed. If affecting car ownership is seen as a tool to influence car use and strive for more sustainable mobility, policies should acknowledge the potential which is embedded with high level of service in public transport, competitive MaaS solutions and shared autonomous vehicles, while also considering the social, economic, technical and regulatory aspects see e.g., [68][69][70]. The visions of MaaS focus on the possibility to offer seamless and effortless, instant accessibility that is smarter, faster and greener than using a private car [71].…”

The Potential Impacts of Electric Vehicles on Urban Air Quality in Shanghai City

“…Various policies related to tax reductions and financial subsidies were also provided to promote electric vehicle. At the same time, the concept of shared electric vehicles is becoming more and more popular in current transport systems [28]. There is a growing movement toward electric vehicles technologies around the world.…”

The Effects of Mobility Expectation on Community Attachment: A Multilevel Model Approach

“…In transportation studies, mobility refers to the ability of individuals or goods to freely move or to be moved through the transportation system [29]. For instance, recent transportation studies are investigating the characteristics of shared mobility systems, such as e-scooters, and their impacts on the urban environment [30,31]. Residential mobility, on the other hand, is defined as the movement of households or the frequency with which households change their residence [32,33].…”