With ever-changing cities and growing populations it becomes progressively more difficult to assess which infrastructural changes are beneficial and which are possibly destructive long-term. It is almost impossible to find experts that understand the wide range of aspects surrounding smart cities as well as their interrelationships. Decision makers need a tool that helps them to set certain policies and evaluate their impact on key performance indicators (KPIs). This paper presents a multicriteria evaluation method based on assessing infrastructural changes in the city combining different modeling tools to gather sufficient data to assess and evaluate different alternatives. The proposed approach is demonstrated on a case study from Prague 6, Vitêzné námêsti.

In the Smart City concept, it is beneficial to have a part of a city ready to use as a testbed (or better yet, a representative sample common for all cities). In this paper we offer a new approach for Smart City testbeds that will help analyze positive and negative consequences and show the opportunities of implementing new technologies. We analyze Smart City testbeds from a system science point of view and consider all important aspects and overlapping environments. By representing a Smart City as a working system of multiple actors or agents, we can achieve equilibrium in such aspects by making sure a proper topography and ontology are described and upheld.

Although the Republic of Moldova has experienced massive increase in vehicle ownership and use, some of the latest advances in how to approach and nurture public space are underutilized. This article summarizes the basic findings of a project aimed at transfer of knowledge and the implementation of the smart city process in Chișinău, Moldova. Chișinău presents a perfect opportunity for full-scale transformation regarding mobility in the smart city process. In its current state, where there are still enough opportunities to make significant improvements and for the region itself, the Republic of Moldova falls into the category of middle- to lower-income countries. Moreover, this article looks at the difficulties of preparing a smart mobility strategy while under the effect of the current COVID-19 pandemic in the form of social distancing by the city. The subject of study is to determine whether a long-distance strategy can be properly created and introduced, mostly based on proper communication. Key data sources were examined and chosen as the basis for determining weaknesses and as a basis for determining the main pillars. While challenging, this paper finds distanced knowledge transfer and planning to be achievable.

Universities are major trip generators and potential frontrunners in sustainable mobility. This paper presents the first university mobility plan in Czechia, prepared for Jan Evangelista Purkyně University in Ústí nad Labem (UJEP). The case adapts Sustainable Urban Mobility Plan (SUMP) principles to the institutional scale, demonstrating both feasibility and specific governance needs. Empirical findings reveal clear contrasts between student and staff travel behavior, accessibility deficits in bus-dependent areas, and local barriers such as unsafe crossings that undermine walking and cycling. The process highlighted the importance of systematic data collection, participatory governance, and dedicated communication strategies. Establishing a mobility manager and working groups proved essential for institutional anchoring and long-term implementation. The study contributes new evidence from Central and Eastern Europe, where institutional mobility planning remains rare. It shows that university mobility plans can also support municipal strategies, ESG goals, and climate objectives, offering transferable lessons for universities and large employers across Europe and beyond.