Study On The Reliable Location Design And Service Strategy Of The Service-oriented Comprehensive Passenger Transport Hub

The comprehensive passenger transport hub (CPTH) has been widely concerned by the government and the researcher with the rapid development of comprehensive transportation system. However, the CPTH has the Characteristics of one time high construction cost, long term and wide range of service, that’s why we must plan process of planning, construction, operation and decommissioning as a whole with the object of long term benefits, considering the "people-centric" service aim. Namely, we should propose the life cycle optimization management mechanism with the target of total system optimal.Whereas there are still some weaknesses in the theoretical research and engineering practice, e.g., we still rely on the static empirical estimation method to solve the problem of location design and service strategy. So, this paper aims to study the reliablity location design and service strategy of service-oriented CPTH.First of all, the overall and detailed review of the domestic and foreign CPTH’s planning, construction and operation process was made in respect of its history, present situation and future development. The weak aspects of the research are as follows:the optimization system lack of the oriented service angle in the whole life cycle, the location design lack of scientific basis, ignoring the possibility of failure, the unclear cognition of the game relationship between passengers and management. So, to solve these weaknesses can enhance the reliability of the new CPTH system, the existing terminal service level and provide theoretical and technical support for realizing the harmonious development of passengers and traffic.Then this paper proposes a modeling framework for reliable facility location design under imperfect information, i.e., when customers do not know the real-time information of facility disruption states. We consider a realistic "trial-and-error" strategy for a customer to visit facilities without knowing their states until arriving at this facility; i.e., a customer keeps trying a number of pre-assigned facilities until she acquires the service or is forced to give up trying. This problem is formulated into a compact integer program (IP). The research problem is to determine the best facility location that minimizes the total system cost, including initial facility investment and expected long-term operational cost from transportation and loss of service, when facilities are subject to probabilistic disruptions and customers use the trial-and-error strategy. After that, we develop a Lagrangian relaxation algorithm to solve it. A set of case studies are conducted to test the performance of the proposed algorithm, and illustrate the applicability of the proposed model. The results reveal a number of interesting insights into the system design, including the significance of multi-level customer-facility assignments and the existence of a robust system design against variation of the loss-of-service penalty. This location method can effectively improve the CPTH service level, which reflects the "people-oriented" service idea.At last, this paper establishes the service strategy of the CPTH in order to improve the operational efficiency effectively and reflect the comprehensive traffic service ideology of people-oriented. Taking distribution service network as research object, the Bi-level Programming model of service strategy is established by adopting Stackelberg game theory which is based on the normal stage of polymerization state of Hub features or otherwise. Genetic algorithms were used to solve this model, and the example demonstrated the effectiveness of the model and the algorithm. Service strategy optimization model can encourage managers to perspective taking, and make more scientific and reasonable managerial decision.The first model can raise awareness of incomplete information to expand the reliable location design model, while the other model considering the feedback of passengers can effectively increase stability and reliability of the service system when event occurs. All the work aim to serve the public interest in a better and more energetic way, namely, the studies can contribute to the well-being of the society against massive disruptive events and reflect the "people-centric" service aim.