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Progressive urban density affects city centers especially and results in growing congestion, lack of parking spaces, and increasing environmental costs of transportation, causing increased air pollutant emissions and noise. These phenomena reduce the attractiveness of the city and result in a degradation of the quality of life for its residents. In light of these phenomena, there is a clear need for intelligent management of urban space using new technologies that would be complementary to existing intelligent transportation systems. Expanding information resources obtained from mobile cameras will have a positive impact on increasing the efficiency of transportation management and use of limited space in city centers. It will also have an impact on reducing external transport costs and increasing the quality of logistics services provided in the city. The main aim of the paper is to develop a concept of a transport management system in cities using mobile vision systems mounted on unmanned aerial vehicles. The model will concern the cases of lane occupation by freight vehicles and the analysis of parking spaces in the city in order to improve their management. The results of the developed model will contribute to the automation of the parking space management process and increase the efficiency of the use of city parking space resources.

Progressive urban density affects city centers especially and results in growing congestion, lack of parking spaces, and increasing environmental costs of transportation, causing increased air pollutant emissions and noise. These phenomena reduce the attractiveness of the city and result in a degradation of the quality of life for its residents. In light of these phenomena, there is a clear need for intelligent management of urban space using new technologies that would be complementary to existing intelligent transportation systems. Expanding information resources obtained from mobile cameras will have a positive impact on increasing the efficiency of transportation management and use of limited space in city centers. It will also have an impact on reducing external transport costs and increasing the quality of logistics services provided in the city. The main aim of the paper is to develop a concept of a transport management system in cities using mobile vision systems mounted on unmanned aerial vehicles. The model will concern the cases of lane occupation by freight vehicles and the analysis of parking spaces in the city in order to improve their management. The results of the developed model will contribute to the automation of the parking space management process and increase the efficiency of the use of city parking space resources.

Cow milk is under increased scrutiny due to its environmental impact and ethical considerations concerning animal welfare. At the same time, a rising share of consumers is switching to plant-based milk substitutes (abbreviated “plant milk”). The objective of this study was (1) to analyze the product image of plant milk and cow milk and (2) to compare the motivational structure behind the consumption of both product categories. For this purpose, a quantitative survey with Austrian consumers was carried out to analyze the product image of plant milk in comparison to cow milk (n = 1001). The product image analysis revealed that the product image of cow milk is still much better than that of plant milk. Amongst others, cow milk is considered to be healthier, more natural, and better for bones. Product image valuation was dependent on the (non-)consumption of plant milk. Plant milk consumers evaluated plant milk significantly better; they considered plant milk to be much better digestible and allergy-free. The qualitative study using means-end-chain analysis, with two sub-samples of interviewees (plant milk consumers, n = 30, and cow milk consumers, n = 30), identified different motives for the consumption of cow milk and plant milk. Motives that were only reported from cow milk consumers are the origin of milk and the support of small-scale dairy production of farmers. Motives of plant milk consumers were much more diverse and included animal welfare and sustainability aspects.

Cow milk is under increased scrutiny due to its environmental impact and ethical considerations concerning animal welfare. At the same time, a rising share of consumers is switching to plant-based milk substitutes (abbreviated “plant milk”). The objective of this study was (1) to analyze the product image of plant milk and cow milk and (2) to compare the motivational structure behind the consumption of both product categories. For this purpose, a quantitative survey with Austrian consumers was carried out to analyze the product image of plant milk in comparison to cow milk (n = 1001). The product image analysis revealed that the product image of cow milk is still much better than that of plant milk. Amongst others, cow milk is considered to be healthier, more natural, and better for bones. Product image valuation was dependent on the (non-)consumption of plant milk. Plant milk consumers evaluated plant milk significantly better; they considered plant milk to be much better digestible and allergy-free. The qualitative study using means-end-chain analysis, with two sub-samples of interviewees (plant milk consumers, n = 30, and cow milk consumers, n = 30), identified different motives for the consumption of cow milk and plant milk. Motives that were only reported from cow milk consumers are the origin of milk and the support of small-scale dairy production of farmers. Motives of plant milk consumers were much more diverse and included animal welfare and sustainability aspects.

We introduce a field survey method to assess the conservation condition of landscapes. Using a popular rapid assessment format, this study defines observable “stressed states” identified through the use of general metrics to gauge landscape degradation. Fifteen metrics within six thematic categories were selected through a literature review and extensive field trials. Field tests on the Greek island of Samothraki show a strong correlation between a single expert’s scores and five assessor’s scores at 35 landscape sites. Only three of the metrics did not maintain a high consistency among assessors; however, this is explained by the difficulty of interpreting certain anthropogenic stressors (such as livestock grazing) in Mediterranean semi-natural landscapes with culturally-modified vegetation patterns. The protocol and proposed index, with five conservation condition classes, identified areas of excellent and good quality, and reliably distinguished the most degraded landscape conditions on the island. Uncertainties and difficulties of the index are investigated, and further research and validation are proposed. The protocol effectively goes beyond a traditional visual aesthetic assessment; it can be used both by experts and non-scientists as a conservation-relevant multi-disciplinary procedure to support a holistic landscape diagnosis. The combination of an on-site experiential survey and its simple integrative format may be useful as a screening-level index, and for promoting local participation, landscape literacy and educational initiatives.

We introduce a field survey method to assess the conservation condition of landscapes. Using a popular rapid assessment format, this study defines observable “stressed states” identified through the use of general metrics to gauge landscape degradation. Fifteen metrics within six thematic categories were selected through a literature review and extensive field trials. Field tests on the Greek island of Samothraki show a strong correlation between a single expert’s scores and five assessor’s scores at 35 landscape sites. Only three of the metrics did not maintain a high consistency among assessors; however, this is explained by the difficulty of interpreting certain anthropogenic stressors (such as livestock grazing) in Mediterranean semi-natural landscapes with culturally-modified vegetation patterns. The protocol and proposed index, with five conservation condition classes, identified areas of excellent and good quality, and reliably distinguished the most degraded landscape conditions on the island. Uncertainties and difficulties of the index are investigated, and further research and validation are proposed. The protocol effectively goes beyond a traditional visual aesthetic assessment; it can be used both by experts and non-scientists as a conservation-relevant multi-disciplinary procedure to support a holistic landscape diagnosis. The combination of an on-site experiential survey and its simple integrative format may be useful as a screening-level index, and for promoting local participation, landscape literacy and educational initiatives.

The intense growth of cities affects their inhabitants to a considerable extent. The issues facing the traveling population include congestion and growing harmful emissions. Urban transport requires changes towards eco-friendly solutions. However, even though new forms of traveling (sharing services) are being implemented, their integration with public transport remains problematic. On account of the large number of available services combined with the absence of their integration, city inhabitants are faced with the dilemma of choosing between one or several transport modes which would enable them to make the given trip. The main goal of this article is to propose a model for integration of different transport services which could support those who intend to travel in the decision-making process. Therefore, the parameters of a model of urban sharing services were identified and classified. The parameters discussed in the paper with reference to an extensive literature review describe how individual sharing services are functioning. What has also been identified is the location-specific factors as well as those related to the potential area of operation which affect the integration with public transport. In order to take all the relevant parameters into account and find a solution to the problem at hand, a multi-criteria decision-making approach has been proposed. To this end, scores and weights determining their impact on the model have been established. For purposes of the solution in question, the relevant calculations were conducted by referring to an actual need to travel between selected locations.