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The increasing population across the globe makes it essential to link smart and sustainable city planning with the logistics of transporting people and goods, which will significantly contribute to how societies will face mobility in the coming years. The concept of smart mobility emerged with the popularity of smart cities and is aligned with the sustainable development goals defined by the United Nations. A reduction in traffic congestion and new route optimizations with reduced ecological footprint are some of the essential factors of smart mobility; however, other aspects must also be taken into account, such as the promotion of active mobility and inclusive mobility, encouraging the use of other types of environmentally friendly fuels and engagement with citizens. The Internet of Things (IoT), Artificial Intelligence (AI), Blockchain and Big Data technology will serve as the main entry points and fundamental pillars to promote the rise of new innovative solutions that will change the current paradigm for cities and their citizens. Mobility-as-a-service, traffic flow optimization, the optimization of logistics and autonomous vehicles are some of the services and applications that will encompass several changes in the coming years with the transition of existing cities into smart cities. This paper provides an extensive review of the current trends and solutions presented in the scope of smart mobility and enabling technologies that support it. An overview of how smart mobility fits into smart cities is provided by characterizing its main attributes and the key benefits of using smart mobility in a smart city ecosystem. Further, this paper highlights other various opportunities and challenges related to smart mobility. Lastly, the major services and applications that are expected to arise in the coming years within smart mobility are explored with the prospective future trends and scope.

The higher education institutions across the globe are steadily increasing their usage of the web platforms to disseminate information to its stakeholders. In this background, it becomes important to make these resources inclusive. An inclusive website of a higher education institution will facilitate seamless access to its resources for Persons with Disabilities (PwDs). This paper presents an accessibility analysis of 59 higher education websites of Portugal. Both Polytechnic (19) and University (40) websites were incorporated into the study.The accessibility analysis is carried out with three major tools: AChecker, WAVE, and aXe. With respect to the AChecker tool, the average of known problems was observed almost doubled in Universities than Polytechnic Institution websites of Portugal under all levels of conformance. With respect to WAVE tool, we found that the average of alerts, structural elements, and HTML5 & ARIA in terms of web accessibility status of websites of Polytechnic Institutes are less than the Universities, but contrast errors are found with more frequency in Polytechnic Institutes than in universities, and the average of errors and features are almost the same in both of the cases. Also, we found that the average number of violations and needs of review guidelines as per aXe tool are 50. 84 and 21.47 in Polytechnic Institutes' websites and 30.75 and 27.83 in Universities websites belonging to Portugal, respectively. Based on scores obtained by these accessibility analysis tools, the outliers of accessibility violations are calculated with respect to websites of Polytechnic Institutes and Universities of Portugal. Moreover, we also suggested and discussed the important clues to solve the accessibility violations of websites along with their issue descriptions among the selected websites in this study. Hence, this analysis report provides the feedback to website administrator and web developers to improve the accessibility evaluation status of these websites. KeywordsWeb accessibility • Web evaluation tools • Accessibility issues • Accessible guidelines • Portugal institutes and universities websites • World wide web consortium (W3C) • Statistical inferences