By leveraging machine-learning algorithms and using nontraditional digital data derived primarily from borrowers’ mobile devices, digital lenders have vastly expanded access to credit in developing economies for millions of individuals without a prior credit history. At the same time,...

We use high-frequency data from location-based mobile phone records to measure domestic air travel patterns of the Chinese population during the Covid-19 pandemic. The travel and tourism industry is a key driver of China's domestic economy and data from this industry helps serve as an objective...

We use high-frequency data from location-based mobile phone records to measure domestic air travel patterns of the Chinese population during the Covid-19 pandemic. The travel and tourism industry is a key driver of China's domestic economy and data from this industry helps serve as an objective...

The line-planning problem seeks to determine the set of fixed routes (or lines) a transit operator should run, along with associated operation frequencies. We propose an optimization algorithm for the transit-line-planning problem based on bi-level programming that exploits the problem's...