Simulation Model of Transport Traceability System for Transit Customs Goods within the EEU

This article reviews the transport traceability system for customs goods within the Eurasian Economic Union, which is the automated data system used to control integrity and movement of cargo section of a carrier vehicle by means of satellite navigation system, mobile cellular communication system and satellite communication system. Article is dedicated to the development of a model that simulates functions of transport traceability system for customs goods, which are being transported using the international transit transport corridors, and this model would be also used for assessment of a demand on electronic seals by seal installation stations, and for determination of correspondence between simulated transport route and actual travel time. Simulation model was already used in a test project, where it was integrated into “EVAC Transit” transport traceability system, and it has proven it’s operability and efficiency.

Analytical Model for Optimal Departure Time Choice with Perception Errors for Planners

An extension of a recent framework for analyzing scheduling disutility with perception errors is derived. In such framework, the traveler has [Formula: see text] scheduling preferences. Although the actual travel time of travelers is influenced by departure time, travelers make a route-choice decision on the basis of their perceived travel time. Thus, we mainly investigate the effects of perception errors on the optimal departure time. The optimal departure time and expected disutility are obtained on the basis of the proposed scheduling disutility model with perception errors. The inverse function curve of a standardized normal distribution is introduced to geometrically analyze the positive correlation between perception errors and optimal departure time. Our empirical example further illustrates that departure time as an endogenous variable affects the expectation and variance of perceived travel time and implies that perception errors are related to departure time. The linear relationship between the mean and variance of perceived travel time and the departure time is analyzed through an empirical illustration. The expected optimal disutility and departure time are derived, provided that the mean and variance of perception errors and departure time satisfy linear dependence. Finally, the results of the analysis of scheduling services with standardized normal distributions agree with the theoretical results and linear assumption in this study.

Organizational and infrastructural solutions in creating competitive advantage of sustainable urban transport – Gdańsk case study

The paper presents conclusions of the survey conducted in Gdańsk in October 2017. The study aimed to compare travel times between the largest residential districts in Gdańsk and the area of the business-academic center. The research was aimed at showing time losses on the commuting trips and their organizational and infrastructural causes, which lead to the extension of the actual travel time. Based on the identified time losses and their causes, recommendations regarding further organizational and investment work were presented to improve the competitiveness of public urban transport and bicycles in relation to the cars.

Analysis of railway connections and public transport on selected Szczecin routes

The purpose of the conducted research was to assess railway connections and public transport in the context of the choice of means of transport. The research consisted in examining the actual travel time of regional passenger trains and public transport vehicles and determining the number of passengers in public transport vehicles under conditions of actual operation. The conducted research may be one of the factors confirming the possibility of using the existing infrastructure and the railway connection network in Szczecin.

Haemodialysis services in the northeastern region of Iran

Chronic kidney disease is growing and the current estimated global prevalence exceeds 13%. As the use of haemodialysis machines for patients with end stage renal disease increases survival considerably, it is critical to plan correctly for the allocation of these machines. This study aimed to develop a geographical information systems (GIS)-based approach to predict the need for this service in the northeastern region of Iran taking into account where patients live and where haemodialysis is the most needed and identifying areas with poor access to haemodialysis centres. Patients were interviewed to obtain self-reported actual travel time and the inverse distance-weighting algorithm was used to determine access in each area. The prediction is based on the domestic growth rate for haemodialysis services and the estimated active hours of machine use for the next five years. We estimate that six new haemodialysis machines are required in northeastern Iran at the present time with 50 machines required over the next five years. Ashkhane City was identified to have the least access to haemodialysis centres in the study area. Our GIS-based model can be used to investigate not only the need for new haemodialysis machines but also to examine geographic disparities in the allocation of haemodialysis centres and to identify areas most in need of this service. It is important that policymakers consider both spatial and non-spatial dimensions of access to enable better allocation of haemodialysis services ensuring they are targeted to reach those in need.