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Consumer behavior at fitness clubs has always been a focus of research in the area of leisure and sports, but few attention has been given to behavior changes over time. Since their first appearance in China in 1990s, health and fitness clubs have been playing important roles in urban residentspsila sports and recreation. The behaviors of the exercisers have undergone great changes. A good understanding...
This paper aims to compare three models in terms of development policies, development potentials and operational mechanism by evaluating, identifying and choosing the best one to meet the needs of tourism development and management in the nonoptimal tourism districts (NTDs). The methods of Participatory Rural Tourism Appraisal and Analytic Hierarchy Process are employed to collect the necessary data...
Construction Enterprises need to implement ERP projects to constantly improve their competitiveness in the future. However, as having been proved to be an enormously invested and systematically risky project, ERP usually makes construction enterprises fall into "two-difficult" choices. Therefore, a scientific risk evaluation is urgently needed to increase the success rate of ERP project...
In risk evaluation of agent management projects, the critical factors which influence rationality of the result are how to estimate risk evaluation index weight and the measurement of risk index. For the risk evaluation index weight account, this thesis proposes risk index weight calculation method which combines AHP method and clustering methodology. This method reduces the anthropic factors of expert...
Under a market environments, there are a lot of uncertainties, such as fluctuation of power prices, shortage of fuel supply and rising of fuel prices, which make generators encounter serious profits loss risk. For stabilizing profits, it is necessary for generators to establish an efficient and optimal risk management technique mix. By adopting the real option, this paper establishes a real option...
This paper optimizes the wavelet neural networks with genetic algorithms which has the optimization of the overall search capabilities, and establishes the model of wavelet neural networks based on genetic algorithms. It overcomes the shortcomings of BP neural network for their own, and it can get higher accuracy and faster convergence. The examples also show that the model can improve forecast accuracy...
In power market, accurate electricity price forecasting can help all market participants make optimal bidding or purchasing decisions and maximize their revenue. In recent years, much attention has been focused on the short-term electricity price forecasting. Based on the theory of ARMA-GARCH model, the paper divides the constant day series into working day series and holiday series. Then the models...
Transmission and distribution networkpsilas natural monopoly characteristic decides it must receive regulation. Based on the analysis of price-cap regulation model, combining with the situation and status of power network in China, this paper put forward a reformative price regulation model, which takes network expansion and service quality into account at the same time. To carry out the transition...
According to the low sample and multifactor impact for long-medium term power load forecasting, the grey relational grade was used in screening factors, the combined model in BP neural network and SVM was established, and the multivariate variables and history load variables were used to roll prediction. The combined predictive values are obviously better than single method. Empirical study showed...
The city is playing an important role in the social economic development. The research on influencing factors, formation mechanisms and problems in the development of cities, especially the relationship between urban electric power and economy growth, is significant to make urban development strategy and complete the urban electric power planning. In this paper, based on the maximum entropy method,...
In this paper, the city input-output efficiency analysis which includes electric power input has been done based on the extension models of DEA to Chinapsilas typical cities. At first, it established index system of comprehensive evaluation of city efficiency, and did input-output-effectiveness evaluation which include electric power input for China's 23 cities in 2006 and sorted by the urban development...
With the logistics outsourcing more widely used, a growing number of third-party logistics (TPL) were introduced to the VMI (Vendor-managed Inventory) implementation strategy, in this mode, how to effectively integrate the logistics and information flow in the supply chain has become an important research topic. Due to the complexity and a certain randomness of this mode, this paper uses the generalized...
In safety-critical systems, components must be highly reliable. Once a component's reliability is lower than the criterion, it will be replaced and transferred to be used in another system which does not need such high reliability. The safety virtual age criterion not only relates with the cost of repair actions, but also with the repair degrees and the systempsilas wearing degrees. In this paper,...
For an engineering project with running income, the result of time-cost trade-off problems (TCTP) concerning construction duration is only partly optimal. More cash flow happens during the running period, and the final goal of clients is to obtain the maximal profit across the lifecycle of engineering projects. In some situations, the cost of compressing construction duration even exceeds the increase...
Analysis of regional power demand cycle is the foundation of researching the national power demand cycle. Firstly the growth rate data of power demand in China from 1994 to 2005 is dealt with the H-P filter, and the periodicity factors of the nation and provinces power demand are obtained. Secondly the periodicity factors of the provinces power demand are treated with cluster analysis, and the problem...
This paper aims at providing a realistic method to measure liquidity risk of China's stock market and data base for China's stock market liquidity risk management. The construction of research model is based on VaR method and the analysis method is adopted to calculate the VaR. The total sample is 121 shares, which are selected according to industry and region. Empirical research results show that...
The paper examines the long-run relationship between per capita income growth, energy consumption, and pollutant emissions in China during the period 1953-2004. We find that energy consumption, pollutant emissions and income are cointegrated in the long run. To supplement the findings of cointegrating analysis, we assess the causal relationships using Granger causality test and find strong evidence...
The paper proposes short-term power load forecasting model based on fuzzy RBF neural network, it has overcome the BP algorithm's disadvantage of slow convergence rate and it fall into partially the smallest insufficiency easily. RBF network model in the use of the latest neighborhood clustering algorithm, and the network structure and the parameters are double-adjusted and the training speed and forecast...
Loan risk pricing system of the bank is the core of interest rate marketization. Realizing independent pricing of loan interest rate will be an inevitable tendency. At present, commercial banks of China have widely developed credit rating system for customers. And it is a question which must be solved urgently that how to carry on risk pricing of loan interest rate and determine market competition...
Internet is expected to be especially beneficial to the banking industry. As more and more financial institutions are finding ways to utilize Internet technologies to launch online banking services, an important issue is to understand what factors will impact the decisions of customers in adopting such services. Based on the UTAUT model, the D&M IS success model, and the concept of trust, this...
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