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The interruption event will seriously affect the normal operation of urban rail transit lines,causing a large number of passengers to be stranded in the station and even making the train stranded in the interval between stations. This study aims to reduce the impact of interrupt events and improve service levels.

To address this issue, this paper considers the constraints of train operation safety, capacity and dynamic passenger flow demand. It proposes a method for adjusting small loops during interruption events and constructs a train operation adjustment model with the objective of minimizing the total passenger waiting time. This model enables the rapid development of train operation plans in interruption scenarios, coordinating train scheduling and line resources to minimize passenger travel time and mitigate the impact of interruptions. Regarding the proposed train operation adjustment model, an improved genetic algorithm (GA) is designed to solve it.

The model and algorithm are applied to a case study of interruption events on Beijing Subway Line 5. The results indicate that after solving the constructed model, the train departure intervals can be maintained between 1.5 min and 3 min. This ensures both the safety of train operations on the line and a good match with passengers’ travel demands, effectively reducing the total passenger waiting time and improving the service level of the urban rail transit system during interruptions. Compared to the GA algorithm, the algorithm proposed in this paper demonstrates faster convergence speed and better computational results.

This study explicitly outlines the adjustment method of using short-turn operation during operational interruptions, with train departure times and station stop times as decision variables. It takes into full consideration safety constraints on train operations, train capacity constraints and dynamic passenger demand. It has constructed a train schedule optimization model with the goal of minimizing the total waiting time for all passengers in the system.

There is no comparative research into the Chinese (PSB) police and the Indian police generally and none on police corruption in particular. This paper aims to show what police corruption and malpractices look like in China and India and offer up some suggestions as to why wide spread malpractices persists.

Horses’ mouth qualitative research is supported by primary public and police survey data.

There are many similarities in corruption “tricks of the trade” in both the countries, as well as in the reasons for its persistence. However, petty police corruption is more pervasive and less subtle in India. But both the forces suffer from politicization of policing, criminalization of politics, culture of tolerance towards substantive justice over procedural justice and master/servant attitude towards the public. In China, the police have administrative powers beyond criminal legislation, and Indian corruption is underscored by the culture of “Jugaad”.

This is largely a qualitative research, so the usual arguments regarding limitations on its generalization applies. However, the insights in this article may provide some understanding of this under-researched topic and may stimulate further research in this field. It may also offer pointers to potential solutions for practitioners and policymakers.

By providing data on what corruption looks like and why it persists, policymakers can use the findings of this study to develop measures to address them. In so doing they would create a police service in India and China that is less prone to corruption and misconduct, thereby increasing public trust in these institutions.

Peace and security is a prerequisite condition for economic and social modernization through the rule of law. Reform of the police is a critical success factor in this process. Therefore, by reforming the police, India and China stand a better chance of eradicating poverty and reducing inequality.

There is little in the way of research into the Chinese Police and none into Chinese police corruption. There is also no comparative study of the Chinese and Indian police generally and none on police corruption in particular.