The article has a Yaroslavl region transport infrastructure study and evaluation. The authors regarded such transport infrastructure aspects, as the presence and composition of messages between the Yaroslavl region and neighboring regions, studied the availability, quality of roads of federal, regional and local importance, including road considered by category, traffic, etc parameters. The freight and passenger traffic on the railway and road transport volumes are presented as a comparison. The article has also the analysis of the cash rolling stock vehicles. As one of the transport security aspects is studied the road accidents and connected with it death dynamics. For Road Trips highways fitness evaluation had been taken an 11 Yaroslavl region companies pool on a range of issues, including the presence and transport infrastructure level and roadside service on the main tourist routes. In addition, were presented the federal highway M8 Holmogory from Moscow to Yaroslavl (of one or two ways directions) some audit service results. The article contents the research results, based on them, were concluded the main findings about the potentials and restrictions on the motor-car tourism as a most perspective one for the Central Federal District region. In general, the authors concluded the inadequate transport system developing in the Yaroslavl region. It is, of cause, the limiting factor. But, cause the transport system special program existing, the region authority is interesting in this tourism type developing.
The article proposes a method for predicting the daily energy consumption level for every day of a whole year, taking into account the season-al factor, based on only twelve actual power consumption data by the months of the year. Then a mathematical model is developed for moni-toring and controlling the level of electricity consumption on a daily basis, taking into account the seasonal factor. The model is consistent with a common model for the length of daylight (in hours). In addition, on the basis of this model, a method of monitoring and diagnostics of electricity consumption is presented, which will allow users to monitor the level of power consumption and be timely notified of any deviations from the theoretical level. Finally, this method gives rise to the operational principle for a proposed device, a smart energy meter, for detecting suspicious deviations from the theoretical level. The device will help timely detect over-consumption (or under-consumption) of electricity in order to take preventive measures. The proposed method consists of the following steps: (1) choice of a function to model the level of electricity consumption (theoretical calculated level), (2) choice of a tubular control neighborhood of the graph of the model function, (3) choice of a criterion on when the smart energy meter should notify the user of an unexpected deviation from the theoretical level in the case of exit from the tubular control neighborhood.
The article presents a statistical approach to the service management. This approach is based on the use of the exponential probability distribution in service models and is demonstrated on the examples of multifunctional service centers. The authors offer a method for setting the maximum limit for the waiting time in a queue to be served, which is interpreted in statistical terms as the failsafe (by level) quantile of waiting time. Given the average waiting time, a formula for specifying the maximum limit for the waiting time considering an allowable percentage of customers, who will have to wait longer than the maximum waiting time, is given. The formula reads as follows: the maximum limit for the waiting time is equal to the average waiting time multiplied by the modulus of natural logarithms of the failure level F, where F is equal to the anticipated share of customers who will have to wait longer than the time set by the manager as the maximum waiting time or, in other words, F⋅⋅ 100% is the percentage of failures. For advertising the efficiency, the manager is interested in setting the minimum allowable maximum waiting time; this time corresponds to a maximum allowable failure level F. Software for computing the maximum limit for the waiting time is offered. As a byproduct, an interesting result is obtained: In any queue, 37% of customers wait longer than the average waiting time to be served while 39% of customers wait shorter than half of the average waiting time. In summary, the main time-related quality indicator of service is the average waiting time in a queue. This indicator is equal to the ratio of two characteristics: the maximum limit for the waiting time / the absolute value of the natural logarithm of the share of failures in the total number of customers, that is, the proportion of customers who will have to wait longer than the time declared as the maximum waiting time.
Problems of the development of automobile tourism in Russia and foreign countries are the subject of numerous publications. A search in the RISC for «car tourism" provides 3318 publications of various nature where one way or another the phrase used automobile tourism. However, narrowing the search parameters significantly reduces search result number. As a result, at the request of "tourist automotive cluster" was not found any publication. Does this mean that the formation, development, formalization, and other issues related to the automotive cluster are not given enough attention? We must say - no! It should be noted that many writers talk about using the cluster approach to the development of automobile tourism, and tourism in general. Many works are devoted to automobile tourism infrastructure and the requirements for it. A number of works associated with the development of caravanning as a substantial part of the automobile tourism, since this direction is perceived by many authors as trailering and is its main focus. In our view, the identification of caravanning with automobile tourism significantly narrows its scope, which, in turn, allows to create capable and efficient automotive cluster. In this paper, the author has made an attempt to define the essence of the concept of "tourist automotive cluster" describing the main approaches to its formation, separation factors influencing the choice of the type of geographic frame of tourist automobile cluster, which can be formed within a certain destination.
The article examines the problems of modeling development of caravanning in the region. The objective of the problem is the disclosure of key inconsistencies between the use of program-target method of management and the actual development of caravanning. The authors based on the consideration of the essence of the process of modeling propose the modeling approach for the development of caravanning in the region and auto-tourism clusters formed within. This approach is based on the use of economic modeling techniques through the formation of a set of criteria and indicators characterizing the resulting indicators and the processes of interaction of elements of trailering. They propose the system of modeled parameters of regional trailering to be formed on the basis of a strategic tool becoming more and more popular today — a balanced scorecard (BSC). The authors proposed a corresponding matrix containing three blocks of parameters ofBSC and groups corresponding to each cell of the matrix of indicators, criteria and parameters. The paper notes that this matrix can be adapted to the modeling of auto-tourism cluster. In addition, the article considers the problem of the need for government intervention and feasibility of it in the development of caravanning clusters and cluster policy effectiveness. Article Submissions are based on scientific-theoretical and practical studies of trailering and related problems of modeling these processes. Problems of quality programming trailering study are based on failure models and the limited options that you can lay in each specific model. This situation necessitates the development of several models describing the same object from different angles. Since the processes of programming and simulation are closely linked, the problem, set in the article, is particularly relevant.
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