Urban rail transit (URT) systems play an evident role in shaping city spatial structures;
however, the principles and mechanisms behind this influence are not fully understood. This …

Spatiotemporal modeling and forecasting is an essential task for many real-world problems,
especially in the field of transportation and public health. The complex and dynamic patterns …

The polycentric city model has gained popularity in spatial planning policy, since it is
believed to overcome some of the problems often present in monocentric metropolises …

We classify the subway stations in the Seoul metropolitan area using smart card data. For
each station, the numbers of passengers result in a 36-dimensional data set. When the …

This study adopted smart card data collected from metro systems to identify city centers and
illustrate how city centers interacted with other regions. A case study of Xi'an, China, was …

Nowadays, more and more smart cities around the world are being built. As a part of the
smart city, intelligent public transportation plays a very important role. Improving the quality …

Suppose $ A $ and $ B $ are two stations within the mass rapid transit network of a city. Both
stations see approximately the same average daily number of passengers entering and …

Trajectory similarity search (TSS) is a common operation for spatiotemporal data analysis.
However, the existing TSS methods are mainly focused on GPS trajectories produced by …

Disclosure of CSR in Indonesia is still relatively low. Several companies in Indonesia
Empirically, this research examines various factors that motivate companies to disclose …

Urban centres are becoming overpopulated, with the car being the main mode of transport,
which has a direct negative impact on the environment. One of the ways to counteract this …