Rail transit network is a convenient and reliable transportation mode in urban areas. With every surge in transportation demand, the network undergoes operational changes like restructuring and making of multiline tracks. Urban rail transit network is a complex network and needs proper emergency services and controlling mechanisms. Unexpected mishaps in rail transit will cause more hazard and panic than the other transportation systems. Therefore, a reliable emergency service station is required to ensure the safety and security of passengers. In the proposed method, the basic statistical properties of complex network topology are considered to construct a P-center site selection model for urban rail transit emergency service stations. The P-center site selection model is solved by genetic algorithm. Validity and reasonableness of the model are demonstrated by implementing it in the Hangzhou emergency service stations for rail transportation. The results show that the P-center site selection model based on statistical properties of complex network topologies can better solve the urban rail transit emergency service station site selection problems. The model minimizes the number of emergency service stations while satisfying the optimal objective function and reduces the construction cost of emergency service stations. The approach has a significant effect on improving system reliability and reducing the risk of emergencies.
In recent years, to alleviate and resolve the traffic problems in China, the government introduced a series of policies to subsidize public transportation. Accordingly, to effectively implement these financial subsidies, the formulation of a scientific model of urban public transport subsidy calculation, strict control of the total amount of financial subsidies, and clear identification of subsidy targets are necessary. In this study, a linear dual model is developed based on the principle of resource allocation and the economic meaning of shadow prices. The public transportation system of a city in China is considered an example, and both public transport operators and public interest stakeholders are considered. The subsidy calculation for service quality improvement is established for public transportation operations and vehicle transformation. Based on the validation using the above example, the calculation result is found to approximate the actual value, indicating the feasibility of the proposed model. Finally, this article presents suggestions pertaining to subsidy mechanism, operating environment, and service quality as a reference for urban public transport subsidies.
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