We present two formulations of a model for nding equilibrium passengers and operators ows in a partially regulated transit system where bus operators are free to choose the routes where they o er public transport services. The transit fares are assumed xed and known. The model o ers a detailed representation of the transit system network and of the transit users behavior. Congestion e ects are ...

According to popular perception, public transit spreads crime. This belief is often a major reason for opposing expansion of urban mass transit systems. However, the existing empirical literature finds little evidence in support of this theory. We address this question using a novel identification strategy based on temporary, maintenance-related closures of stations in the Washington, DC rail t...

In shared bike-and-ride transit systems, commuters use shared bicycles for last-mile transport between transit stations and home, and between transit stations and work locations. This requires pools of bicycles to be located near each transit stop where commuters can drop off and pick up shared bikes. We study the optimal sizing of such bicycle pools. While various problems related to vehicle p...

Public transit systems are ideal for studying the urban microbiome and interindividual community transfer. In this study, we used 16S amplicon and shotgun metagenomic sequencing to profile microbial communities on multiple transit surfaces across train lines and stations in the Boston metropolitan transit system. The greatest determinant of microbial community structure was the transit surface ...

We study the journey planning problem in public transit networks. Developing efficient preprocessing-based speedup techniques for this problem has been challenging: current approaches either require massive preprocessing effort or provide limited speedups. Leveraging recent advances in Hub Labeling, the fastest algorithm for road networks, we revisit the well-known time-expanded model for publi...

EasyTracker is an automated system that assists small public or private transit agencies in deploying bus tracking and arrival time prediction. This demo will showcase how data from GPS sensors embedded in smartphones can be automatically processed in order to accurately estimate routes, bus stop locations, schedules, and make annotated maps with real-time bus tracking and arrival time predicti...

We developed the analyzer of users’ behavior for a public transit navigation system in order to improve the usability of the system and find the required functions for it. The analyzer records users’ situations and behaviors, such as the page transitions, searched routes, and device type. With these data, the analyzer generates a graph that illustrates the usage trends and the result of the eva...

introduction: renal dynamic study is a well-established and popular test in routine practice of nuclear medicine. the test is non-invasive, rapid and unique in evaluation of the kidney function. in despite of its clinical values, the parameters derived from renogram are physiologically meaningless. that is due to the fact that renogram is not the true kidney function. from mathematical points o...

A decision support system (DSS) is developed for urban mass transit service planning, which is designed for several types of users, such as transit operators for service planning, a public agency for regulation of transit services, or transit passengers for route guidance. The DSS provides a flexible mechanism to deal with data. It may include various transit networks and one transit network ha...

The effectiveness of rapid rail transit system is analyzed using tools of complex network for the first time. We evaluated the effectiveness of the system in Beijing quantitatively from different perspectives, including descriptive statistics analysis, bridging property, centrality property, ability of connecting different part of the system and ability of disease spreading. The results showed ...