Purpose – The purpose of the primary research is to gather information about the behaviour of bicycle tourism demand. Primarily by studying domestic bicycle tourists, the research results were expected to provide valuable market parameters, comparable with the determinants of previous relevant studies. Design and Methodology – Research was carried out by surveying different segments of bicyclists, recognized in earlier conceptual contributions. Electronic data collection techniques were applied. The online questionnaire was distributed to chosen respondents in the form of the link included in a personal message on a certain social network. A personal approach ensured a high response rate. The nature of research design resulted in a descriptive research, although some of its characteristics could be considered as exploratory. Findings – This paper is the first attempt to study the Croatian segment of the bicycle tourism demand. As far as the attributes common to both national and international research are concerned, it is possible to argue the similarities and differences of demand profiles. Value – Until there is a uniform approach to monitoring the phenomenon at the European level, the profiling of demand in bicycle tourism makes it possible to compare the specific findings with current trends. This research applies a somewhat different perspective than the existing ones – enabling more insight into the cycling-related behaviour in the home area and on vacation. As part of the international demand for bicycle tourism, knowledge about the behaviour of one particular national market contributes to the general state of the research.

Smart cities, one of the key application areas of 5G and IoT technologies, have at their core the goal of improving quality of life, creating collaborative solutions, and addressing resource constraints. Examples of some of the many services integrated into the network of a typical smart city are related to smart health, smart transportation, smart buildings, smart hotels, smart industry, smart universities, etc. The new era of wireless mobile telecommunication technology and the IoT ecosystem is driving the opportunities for smart cities to not only solve existing problems but also create new services and functionalities that are out of the box and invisible to the end user. The main objective of this paper is to explore the role of 5G and IoT in smart cities. The market environment, key business developments, and trends related to the key smart cities’ enablers, IoT and 5G, are presented. An in-depth literature review followed by a discussion is substantiated with synthesised research findings on the current development, 5G coverage, use and deployment of IoT in smart cities, and forecasting the evolution of its application in smart cities.

In addition to its positive socioeconomic impact, tourism also has some negative effects on the environment, particularly through carbon dioxide (CO₂) emissions. Although the impact of tourism on the environment is visible, many of the cause–effect relationships have not yet been adequately explored. In order to determine individual factors regarding the temporal variation in the carbon footprint of a major road infrastructure facility (the Učka Tunnel, Croatia), a regression analysis was conducted. The study analyzes the carbon footprint of the pre-pandemic and pandemic periods and uses factors at the national and regional levels influencing the region of Istria County, as representative of the developed tourism regions in the Mediterranean. The results of the research provide theoretical insight into the sustainability and cause–effect relationships between the economic and social factors of road transport in tourism-developed destinations, with characteristic seasonality. At the application level, the research results can be used to predict the temporal variations in the environmental impacts of road infrastructure, as well as economic parameters that can be used in the prediction process and crisis management models of major road facilities.

The paper addresses the effect of external integration (EI) with transport suppliers on the efficiency of travel agencies in the tourism sector supply chains. The main aim is the comparison of different estimation methods used in the structural equation modeling (SEM), applied to discover possible relationships between EIs and efficiencies. The latter are calculated by the means of data envelopment analysis (DEA). While designing the structural equation model, the exploratory and confirmatory factor analyses are also used as preliminary statistical procedures. For the estimation of parameters of SEM model, three different methods are explained, analyzed and compared: maximum likelihood (ML) method, Bayesian Markov Chain Monte Carlo (BMCMC) method, and unweighted least squares (ULS) method. The study reveals that all estimation methods calculate comparable estimated parameters. The results also give an evidence of good model fit performance. Besides, the research confirms that the amplified external integration with transport providers leads to increased efficiency of travel agencies, which might be a very interesting finding for the operational management

To determine the stakeholder perspective on different circumstances of cycling tourism destination development in the post- COVID-19 period, the survey method and a case study approach were implemented in obtaining stakeholder expert judgement. This paper acknowledges the recent academic and industry publications, and the current momentum in the EU (where post-COVID-19 recovery plans include raising the share of cycling), and discusses the primary research findings on cycling tourism development in this context. Primarily contributing to the body of knowledge on regional cycling tourism development in general the findings of this paper acknowledge the often-neglected local stakeholder perspective and indicate that stakeholders tend to focus more on internal (local) destination issues and relationships.