Research On The Location Of Comprehensive Transportation Hub Based On Hierarchy Model

Our country has entered a critical period of building a well-off society. The transportation industry should give out full advantage of comprehensive transportation system, to establishing and improving a safe, reliable, environmental protection, economic efficient comprehensive transport system. Comprehensive transportation hub is an important component of comprehensive transportation system and the key point of a variety of transportation modes interchange connection. Promoting the construction of comprehensive transportation hub is to the integration of a variety of modes of transportation, rational utilization of transportation resources and improving passenger service quality and transportation efficiency.The comprehensive transportation hub of scientific and reasonable developing is of great significance for promoting variety modes of transportation efficiency, optimization of the city connection structure and convenience of passengers travelling.Based on the theory of transportation planning and design, using the hierarchical structure for reference, the macro comprehensive transportation hub location problem is conducted using the theory and methods of optimization.(1) The basic attributes and classification method of the comprehensive transportation hub are analyzed. The comprehensive hub weight index system is established based on the AHP.(2) According to the hierarchy model, the nested hub location model is put forward. The model is for the cases of deterministic maximum and minimum hub capacity constraints existing. The hierarchical models are solved using ACSA.(3) Based on the deterministic comprehensive transportation hub location, the stochastic chance-constrained is introduced. And a hierarchical comprehensive transportation hub location model is built on stochastic environment.(4) The hierarchy preliminary scheme is determined with the combination of qualitative and quantitative methods. The hierarchical location model is solved using Guangdong Province hub weight index system. The model sensitivity analysis is processed to summary the influence of parameters for the model results.(5) The hybrid intelligent algorithm for hierarchical model with stochastic chance-constrained programming is designed. The performance shows its feasibility. The suggestions for improvement are put forward.