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In the context of nature protection, there is an effort to regulate individual car traffic in protected areas. In the framework of the research, a pilot testing of a vehicle detection and identification system in the Krkonoše National Park was carried out using two selected technologies (license plate recognition and Bluetooth token detection). The research was carried out under conditions of poorer availability of mobile signal for transmission of measured data, lack of electrical power supply, and in challenging climatic conditions in the mountains. The main objective was to verify the applicability and limits of the mentioned technologies under these difficult conditions. For this purpose, two test sites were built: a fixed and a mobile point. Testing at both points was carried out using two basic methods, namely online through continuous data collection from the detectors and on-site through a local survey during the summer of 2022. The parameters evaluated were the reliability of the vehicle identification itself and the reliability of the operation of the individual detection subsystems and the tested system as a whole. The results show that the license plate recognition system using two cameras for the checkpoint shows a high recognition reliability, but it is reduced for some types of vehicles (especially motorcycles and four-wheelers). At the same time, this technology is demanding on energy resources. Detection using a Bluetooth scanner has proven to be highly reliable up to 50 km/h. A reliable power supply is necessary to achieve high reliability, which was a problem at the mobile point. Evaluation of images from cameras with motion detection showed the limits of this technology, which increased with increasing vehicle speed. The system can be used to detect traffic in protected areas, taking into account the limits specified in this article.

This paper discusses the impact of the COVID-19 pandemic on air pollution. Many urban inhabitants were confined to their homes during the lockdown. This had an impact air pollution, due to a reduction the number of vehicles being operated in cities. People also limited the number of visits to shopping centers; additionally, sports venues were closed and cultural events cancelled. The COVID-19 pandemic therefore had a positive impact on air pollution. Several studies from around the world confirm this. The research presented here is based on hourly measurements of PM10 and NO2 concentrations measured in background ambient air at a specific intersection located in Uherske Hradiste, Czech Republic. The aim of the paper is to confirm or exclude the hypothesis that the measured concentrations of PM10 and NO2 pollutants were lower during 2020 than in 2019, when states of emergency related to the COVID-19 pandemic were declared. The data were aggregated into monthly subsets and statistically analyzed. The data was graphically visualized and evaluated by means of exploratory data analysis. To compare the pollution levels in individual months, a parametric statistical analysis (two-sample t-test) was used. A statistically significant reduction was observed in the measured concentrations in 2020 compared to 2019 during periods when states of emergency were declared.

The promotion of electric mobility has the potential to reduce several impacts of the road transport sector, such as increased emissions of greenhouse gas (GHG) and air pollutants and natural resource depletion. As such, decision makers and other stakeholders around the world have invested significant efforts in the transition to sustainable urban mobility based on the use of electric vehicles. However, there are few studies that investigate the potential benefits of electric mobility in all its facets; i.e., most focus on analyzing the benefits of replacing conventional cars while leaving aside other means of transportation with greater use and, consequently, higher emissions, such as, primarily, public transport and freight transport vehicles. Thus, this study aims to develop an action plan focused on electric mobility—APOEM, which stipulates gradual implementation steps in a time horizon of 5 years. For this purpose, a city with potential for electric mobility implementation called Atibaia, in the countryside of the State of São Paulo, in Brazil, is investigated. The results show that, in an ambitious scenario of electric vehicle deployment in the City of Atibaia, which presents energy supply compatible with demand, it would be possible to reduce a total of 30,788.70 tons of GHG in 5 years, and, as for emissions of air pollutants, it would be possible to reduce 140.38 tons of CO, 36.38 tons of NMHC, 1.58 tons of RCHO, 130.20 tons of NOx, 3.54 tons of MP and 0.75 tons of SO2 in 5 years. It is also worth noting that, in order for electrification to generate a greater contribution to the environment, it is necessary that electric mobility be generated from renewable energy sources.

Assessing the impact of new mobility systems (e.g., shared mobility services, mobility as a service (MaaS), and Mobihubs) in urban contexts remains a challenging endeavor due to the varying priorities (social, economic, and environmental) of different stakeholders and restricted and/or limited availability of data. In a broad sense, new mobility services (NMS) can be characterized as a way of optimizing the ownership and use of a variety of mobility resources, tailored to the needs of an entire (urban) community. In this context, providing an up-to-date and critical review on the impact of NMS is the main contribution and added value of this study. To this end, this study presents an in-depth review of NMS and their diverse features (e.g., car sharing, bike sharing, Mobihubs, etc.), as an alternative to privately-owned travel modes. By reviewing more than 100 relevant sources from academic journals (Google Scholar, Science Direct, and Web of Science) and media reports, this study explains the key elements on how to address the impact assessment of NMS in terms of social, environmental, and economic aspects of sustainable mobility services. This study concludes that the implementation of NMS offers the potential to promote efficiency, sustainability, social equity, and quality of life. The main findings of this study serve as a perfect starting point for mobility providers and policymakers who are concerned about the growing demands for clean and green cities.

Nowadays, transport systems efficiency plays a key role for communities’ liveability and economy, being in addition an important factor in the economic integration of countries. The purpose of the article is to develop multi-stage models of tourist activities for optimizing the development of operating companies. For the implementation of models, the authors evolved the relevant system of organizational-functional support for the development of railway tourism. The research will enable us to take into consideration risks when planning tourist routes by railway, determine the order of construction or start of routes, and assess their profitability. This will provide to earn the expected incomes of all interested parties in tourist activities for the specified period. The authors created economic-mathematical models of the discrete optimal planning of the railway tourism operations. This takes into account conditions of risks and cooperation, and allows to determine which sets of effective routes are the most profitable ones. The results of the realization of the developed models include the task of the succession of the tourist route introduction according to the present and future infrastructure, availability of the rolling stock, etc. In this, consideration is given to obtaining maximum profit from tourism businesses for every participant during an established period.

The environmental impacts of air transport and air transportation systems have become increasingly important and are heavily debated. The aim of the study was to determine the degree of soil contamination by the potentially toxic elements (Cu, Ni, Pb, and Zn) in the vicinity of the airport runway and to evaluate whether airport traffic has had factual toxic effects on airport vegetation. The overall assessment of soil contamination by means of the Nemerow integrated pollution index indicated slight pollution; evaluation by the geoaccumulation index evinced moderate contamination by Zn and nonexistent to moderate contamination by Cu, Ni, and Pb. A significant difference between the take-off and landing sections of the runway was not statistically confirmed. The vegetation risk assessment by means of the potential ecological risk index (RI) showed the low ecological risk, while the phytotoxicity test revealed an inhibition of up to 33.7%, with a slight inhibition of 16.7% on average, and thus low toxic effects of airport traffic on airport vegetation. The results of the linear regression model between phytotoxicity and RI manifested no relation between the two. The outcomes from other studies suggest that the range of elements and the extent of contamination can be highly variable at different airports and frequently affected by car traffic. Therefore, further research on this issue is needed for the more precise determination of the elements emitted by air traffic at airports.

Investments in high-speed rail (HSR) development contribute to reducing regional disparities and improving territorial cohesion. When studying the efficacy of HSR investments, the travel time (and effort) spent on getting to and from the HSR station is crucial. In large urban areas there may be more than one station, and a peripheral station may complement the central stations and become a powerful vector for development. The rationale of this paper revolves around the possibility of applying a methodology based on generalised cost (GC) functions to study the advantages of new HSR-related projects in different locations. With this aim, we evaluate a real example in Seville (Spain) to determine whether the improvement in metropolitan accessibility to HSR services justifies the implementation of a new peripheral station, using a methodology to assess the territorial accessibility based on GC functions and modal travel times obtained with GIS methods, followed by an economic assessment based on a cost-benefit analysis. The paper ends with the main conclusions and a discussion of the methodology applied, the reductions in generalised costs resulting from the new station, the relevance of the case study, the limitations of the approach and further research stemming from this study.

The increase in civil aviation traffic and, in general, in aviation traffic going through airspace or a military terminal control area, and the increase in military operations in temporarily reserved areas bring higher requirements for airspace throughput and for the workload of military air traffic controllers. For an objective assessment of the military air traffic controllers’ workload, it is desirable to set the maximum level of workload that can be required of such personnel. This assessment is also important for planning staffing and training. In the civil air traffic control environment, the workload of air traffic controllers is clearly determined by the complexity and density of air traffic, i.e., the throughput capacity of sectors. However, this method is not suitable for measuring the workload of military air traffic controllers, because the nature of military flight activities requires solving different situations in the airspace and thus generates a different workload. One way of obtaining more objective data on the actual workload of military air traffic controllers is to accurately determine the difficulty of individual air traffic control activities, i.e., the most common activities carried out by military air traffic controllers in the course of their duty. The difficulty of a selected air traffic control activity will be represented by a weight. A method for determining this weight is presented, including the proposal of specific weights for the calculation of the military air traffic controllers’ workload during simulation training, using the functionality “Workload”.