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Technological developments and changes in relative prices lead to changes in the entire production structure. It is not easy to inversely derive the causes of changes from given changes of input-output coefficient matrix. RAS algorithm is a method to update and levelling typical input-out table. The paper attempts to expand this algorithm for the analysis model of changes in the industrial structure, and to decompose the input coefficient changes into column-specific, row-specific and cell-specific changes without setting industrial structure changes by demand-driven or supply-driven in advance. After that, quantitative analysis about changes in the industrial structure and the reasons of them in China is done in this paper. We find that while industrial structure in China is developing sophisticatedly, labor-intensive industries grow in a high rate, which reflects imbalanced regional development of Chinese economy, and the effect of internalization from industrial upgrading into regional industrial transfer. [ABSTRACT FROM AUTHOR]

As to the applied range and optimization of grey forecast model, according to the principle that grey GM(1,1) model's parameters are grey and adjustable, the connotation model and parameter packet formulas of GM(1,1, β) were put forward in this paper, and some properties of the model and model's optimization algorithm was analyzed. The results show that the objective valuing region of parameter a of GM(1,1, β) model is (-∞+ ∞), and the objective valuing region of parameter a of GM(1,1) model is (- 2,+2), the objective valuing region of parameter a is determined by the background value coefficient, and it has nothing with raw data sequence; GM(1,1, β) grey differential equation completely suits for the homogeneous exponential function series. Finally, the example of simulating and forecasting the per capita income of urban dwellers in China shows that the grey differential equation GM(1,1, β) is valid. [ABSTRACT FROM AUTHOR]

In view of the situations that the locations of high-speed rail terminals in some cities are far from the city centers, this paper put forward an approach to design feeder bus lines considering two aspects of demands. One is recent demand for transporting high-speed rail passengers between city centers and rail terminals; the other is long-term demand for directly connecting the bus system in city centers and the bus system in the emerging city unit around rail terminals. The optimization model for selecting the bus lines was built based on the two aspects of demands and then the related solution ant-colony algorithm was designed. The case of designing the feeder bus lines for anting rail terminals on Shanghai-Nanjing intercity railway was used to illustrate the model and the algorithm. The index showed the optimized feeder bus lines have the characters of quick and reliable service quality and good potential for the transition to express lines in the future. [ABSTRACT FROM AUTHOR]

Based on the origin-destination-based Frank-Wolfe algorithm proposed by Anthony Chen (2002) which means the shortest-path of all OD pairs with the same origin was searched in the algorithm at one time and the link flow was updated by using one-OD-at-a-time flow update strategy, the initialization, linear search and shortest path search of ODBFW algorithm was improved in this paper, and the improved ODBFW algorithm was proposed. The improved ODBFW algorithm was used for Sioux Falls network which was common used in international similar researches and the road network of Zhucheng City, Shandong Province, China to compare the feasibility, efficiency and stability of the standard FW algorithm, ODBFW algorithm and improved ODBFW algorithm. The results indicated that the improved ODBFW algorithm has more efficiency and stability than standard FW algorithm. The time used for the improved ODBFW algorithm to reach convergence is nearly 15% less than the time used for the original algorithm in small road network, and is nearly 5% less than that in large road network. [ABSTRACT FROM AUTHOR]