Passenger transportation structure (PTS) features a huge effect on the proficiency of the territorial comprehensive traffic framework. Therefore, one of the important means to improve its efficiency is to rationalize and optimize the passenger transportation structure. From a static point of view, this paper puts forward user optimum thought to meet the demand of regional passenger optimal thought and constructed an optimization model of the passenger transportation structure on the basis of land and energy consumption. Through analysis of the passenger transportation systems of Harbin, Daqing, and Yichun in China, a model was designed by simulation and the proportion of the traveler transportation organization were determined. The method of fuzzy comprehensive was used to assess the traveler transportation arrangement, which is based on optimization model and real-world data. The effectiveness of the optimization model was demonstrated by analysis of the evaluation results. The displayed method and estimation results can help transportation organizers and policy-makers in deciding future traveler transportation foundation speculation needs.

Understanding the characteristics of regional passenger travel mode selection can provide a theoretical basis for the traffic management to formulate relevant policies. In this paper, the characteristics of passenger travel mode selection are analyzed, and the micro and macro factors affecting the choice of travel modes are determined. Based on travel cost, time, safety, comfort, convenience, and other factors, the generalized cost function of passenger travel mode selection is constructed, and the function parameters are calibrated. The research results can provide theoretical support for the formulation of relevant policies.

The rapid development of economy puts the requirements for a integrated transportation system with perfect functions and reasonable structures.Reasonable forecasting and planning of regional comprehensive passenger transportation structure benefits for avoiding repetitive construction of traffic facilities and then reducing the waste of resources.Based on the theory of Markov,the paper forecasts the structure of the regional integrated passenger transportation and proposes the structure development model based on the Markova chain.The integrated transportation data in Heilongjiang province of China are used to illustrate the future passenger structure prediction.Results show that the position of water transportation in Heilongjiang province is gradually being replaced by other transportation modes.One part of the railway passenger volume is transferring to highway.Except water transportation,other four passenger transportation modes have no big changes on share ratio,but the share of civil aviation decreased.The reliability of the predicted results is finally verified based on Markov Chain.The prediction results can provide decision-making advice for managers to some extent.

To study the reserve capacity of city road network under ice and snow condition, the upper programming model was build on the basis of travelers' demands on level of service, which was incarnated on capacity of links, and travel time reliability, while user equilibrium (UE) was set up in the lower programming model. Then, sensitivity analysis was applied to solve the bi-level programming model under ice and snow condition. At last, one simulation network example was given to demonstrate the practicality of the given model, and the result showed that the ice and snow condition and the travelers' demands on level of service had great impact on the road network reserve capacity. The methodology is useful and applicable to evaluate road network under ice and snow condition and lays the foundation for capacity reliability.

The investigation of the relationship between capital structure and corporate performance hasn't reached an agreement at present, and the related research on the real estate industry is any the less. So the paper takes the data of real estate industry from 2008 to 2010 as the sample, introduces the concept of influence degree, and establishes a multiple linear regression model based on the modified Cobb Douglas function to analyze the relationship between its capital structure and corporate performance. The conclusions are drawn: asset-liability ratio and ownership concentration positively correlate with corporate performance; liability with interest ratio and state ownership ratio demonstrate negative relationship with corporate performance; the influence degree of asset-liability ratio is the highest of all the factors. Finally, based on the conclusions drawn from our experiment, scientific suggestions are put forward to optimize the real estate companies' capital structure.

To develop an approach to evaluate the capacity reliability of road network based on ice and snowfall conditions,the capacity reliability was studied on the basis of travel time reliability and capacity of links.The concept of network capacity reliability was proposed.Through the introduction of free travel time and capacity correction functions for Bureau of Public Roads (BPR) model,an Ice and Snowfall Based-Bureau of Public Roads (ISB-BPR) function was proposed.Then the bi-level programming model of road network capacity reliability was developed.The travel time reliability and link capacity as restrictions were proposed in the upper programming model.To follow the characteristics of route choice under ice and snowfall conditions,the elastic demand user equilibrium (EDUE) was set up in the lower programming model.An assessment methodology integrating sensitivity analysis of EDUE and Monte Carlo simulation was proposed to evaluate the capacity reliability.A numerical case was also given to demonstrate the practicality of the given model.The results show that the ice and snowfall intensity,traffic supply and demand all have great influence on the capacity reliability.The methodology is useful and applicable.It may provide a basis for network planning,design and maintenance.