The Optimization Method For Facilities And Equipment Layout In Urban Rail Transit Stations

With the advantages of large capacity, faster, safety, punctuality, environmental protect, economize and so on, urban rail transit is becoming the backbone of urban transport system. However, with the rapid growth of urban rail transit network scale and urban traffic demand, metro traffic is increasing dramatically, which makes passenger flow organization in stations more and more difficult. Improving or using the capacity of facilities or equipment in stations rationally is an important way to optimize the organization of passenger flow. Combined with passenger facilities and equipment choice, this thesis focuses on facilities and equipment at urban rail transit station to study the optimization of facilities and equipment layout at stations. In this study, an optimization method for facilities and equipment layout are proposed, which is based on the passenger facilities and equipment choice model presented above. A case study of a typical subway station is also implemented, and its validity and practicability are verified based on Anylogic.(1) For the purpose of understanding the problem deeply, related concepts and classification of facilities and equipment, passenger streamlines, facilities and equipment offering the same service are described. Then, this thesis summarized the classification of the common layout of facilities and equipment, facilities and equipment offering the same service. Furthermore, the main problem to be solved in this thesis is analyzed and described. At last, concepts and principles of the layout of facilities and equipment are introduced. And objects and strategies of the layout optimization for facilities and equipment are analyzed, too.(2) To study the preference of passenger’s facilities and equipment choice, factors which influence the choice of ticketing equipment, fare gates and the combination of stairs and escalators are analyzed and calibrated. Through screening influential factors of passenger facilities and equipment choice with mean impact value (MI V) algorithm, two artificial neural network models to describe passenger facilities and equipment choice are proposed based on BP algorithm and MIV-BP algorithm, respectively. Through analyzing and comparing the performance of two models, the artificial neural network model based on MIV-BP algorithm is selected to be the model of passenger facilities and equipment choice.(3) Aimed at guiding modeling, this thesis analyzes the hierarchical structure of the optimization method for facilities and equipment layout in station. Nodes and streamlines are adopted to describe facilities and equipment, passenger streamlines, and disturbances among streamlines. With the objectives of minimizing the average service time at station, minimizing the interference of passenger streamlines and maximizing the utilization of facilities and equipment, the optimization model for facilities and equipment layout considering passenger facilities and equipment choice is established. Through the analysis of characteristics of the optimization model, a method of combining genetic algorithm (GA) and data envelope analyze (DEA) is adopted to solve the model.(4) Based on the method proposed in this thesis, a case study of Wangfujing station is implemented to verify the validity of the proposed method. Then, the practicability of the optimized layout from the optimization model for facilities and equipment layout is verified based on Anylogic. The results shows that the method proposed in the thesis can improve the service level of stations and the utilization levels of facilities and equipment. Furthermore, it could be a theory evidence of passenger flow organizations of stations.