Sustainable Development Programming of Airports by Identification of Non-Efficient Units

Emergency Air Transport of Patients with Acute Chest Pain in the Adriatic Islands of Croatia: A Four-Year Analysis

BACKGROUND

An efficient first-aid system usually supports ground services with a helicopter emergency medical service (HEMS). An HEMS is important for patients with acute chest pain on remote islands. The current study sought to identify the characteristics of HEMS in acute chest pain cases on the Croatian Adriatic islands over a four-year period.

METHODS

We conducted a four-year observational study to investigate HEMS from Adriatic islands. The study population consisted of all patients with acute coronary syndrome or pulmonary embolisms who were urgently transferred by HEMS to the University Hospital in Split 1 June 2018-1 June 2022.

RESULTS

During the observation period, 222 adult patients (67 females, or 30.2%) were urgently transferred. The mean age was 71.81 ± 13.42 years. The most common diagnosis was ST-elevated myocardial infarction (113, 50.9%). Most of the HEMS cases were from Hvar (91, 41.0%). The mean call-to-flight time was 19.10 ± 10.94 min, and the total time from call to hospital was 68.50 ± 22.29 min. The total time from call to hospital was significantly correlated with call-to-flight time (r = 0.761, P < 0.001). Of the 222 participants, 5 (2.25%) were transported for more than 120 min, and 35 (15.8%) were transported for more than 90 min.

CONCLUSION

This study provided a detailed insight into HEMS in the area of the Croatian Adriatic islands. The average time from the call to the helicopter taking off was 19.10 min. An increase in dispatching time has a significant impact on the prolongation of the total time for the hospital admission. Shortening the response time is critical to reducing hospital arrival time.

Estimating Mode of Transport in Daily Mobility during the COVID-19 Pandemic Using a Multinomial Logistic Regression Model

At the beginning of 2020 there was a spinning point in the travel behavior of people around the world because of the pandemic and its consequences. This paper analyzes the specific behavior of travelers commuting to work or school during the COVID-19 pandemic based on a sample of 2000 respondents from two countries. We obtained data from an online survey, applying multinomial regression analysis. The results demonstrate the multinomial model with an accuracy of almost 70% that estimates the most used modes of transport (walking, public transport, car) based on independent variables. The respondents preferred the car as the most frequently used means of transport. However, commuters without car prefer public transport to walking. This prediction model could be a tool for planning and creating transport policy, especially in exceptional cases such as the limitation of public transport activities. Therefore, predicting travel behavior is essential for policymaking based on people's travel needs.

Environmental Management from the Point of View of the Energy Intensity of Road Freight Transport and Shocks

The research aimed to identify the directions of rationalization of the energy intensity of road freight transport in the context of the long-term balance of the drifting economy. The study was related to the case of Poland, and its scope spans 8.5 years. The long-term drift of the economy and shocks from the production process of the construction, industry, and processing sectors were taken into account in the research. In addition, the structural shocks were decomposed and validated. Twenty-one statistically significant multidirectional and varying relationships between the energy consumption of road transport and production in the construction, industry, and processing sectors were confirmed, including 7 long-term and 14 immediate relationships. The leakage of shocks in production has been demonstrated in the construction, industry, and processing sectors. The shock from the construction sector lowered the energy consumption of road transport in the long run. The greatest impact of the shock occurred only after 6-12 months and slowly stabilized after approximately 24 months. On the other hand, the shock in production in the industry and processing sectors reduced energy intensity in the short term but increased in the long term. The shocks in the industry and processing sectors transformed relatively quickly.

Energy Decision Making: Problems, Methods, and Tools—An Overview

Making decisions concerning the use of energy sources is a very difficult and complicated task [...]