The high living standards and rapid urbanization have changed local infrastructure and transportation. Electric cars are introduced dynamically in the global and particularly the Cypriot market as they have lower carbon dioxide emissions during movement compared to combustion engines cars. However, a variety of obstacles to the development and acceptance of electric vehicles have emerged. To identify and overcome these obstacles, this paper applies the Political, Economic, Social, Technological, Environmental and Legal (PESTEL) framework to analyse the macro-environment of the electric vehicle industry in Cyprus. The PESTEL factors in the electric car sector were assessed according to the local and European legislation and policies, the difficulties and concerns of the public and the environmental issues in an island where the main source of electricity is the burn of fossil fuels. Finally, a seven year analysis of the fuels prices has also assisted in the identification of the drawbacks and possibilities of this emerging market.
The expansion of e-scooter sharing system presents a mix of advantages and challenges to the urban transportation system. This research delves into the frequency of shared e-scooter trips on urban road segments in Austin, TX, leveraging a Random Forest model to dissect the influence of built environment and demographic variables on e-scooter trip frequencies. The model was then interpreted using Shapley Additive Explanations and Partial Dependence Plots. Results indicated that presence of bike lanes, distance to city center, violent crime, walkability, and land use are the most important variables. Notably, high shared e-scooter trip frequency often coincides with high incidence of violent crimes. The study further explores the non-linear relationships between e-scooter trip frequency and these key variables, revealing threshold effects and significant shifts in usage patterns. These insights offer valuable guidance for cities in the strategic development and regulation of shared e-scooter services.
This work examines the link between some of the most important transportation companies’ stock performance with the corresponding transportation cryptocurrencies. To do so, airlines, rail, and shipping companies’ stocks are investigated, examining for a probable link with the transportation cryptocurrencies, and also investigating the attributes of this link. The variable-Lag time-series causality is employed to test the channel of causality (if such exists), and the multifractal detrended cross-correlation analysis is utilized to investigate the relationship’s attributes. According to the results, the three transportation industries differ in the way they relate to transportation-related cryptocurrencies. More precisely, the transportation industries differ in the way they relate to transportation cryptocurrencies since airlines, and railway companies affect the price of the cryptocurrencies related to transportation, and cryptocurrencies also affect in a similar magnitude these fields. On the other hand, the shipping companies have a greater effect on the cryptocurrencies, while the cryptocurrencies in very few cases affect these stocks. Finally, a long-run relationship is identified, implying that transportation companies and the corresponding cryptocurrencies are positively and long-term related. The results important because they unveil a link between the transportation companies and the corresponding cryptocurrencies, with this link differing among these industries. This finding should be taken into account in the adoption of relevant technologies from the transportation field.