Subspace clustering is a powerful technology for clustering high-dimensional data according to the underlying subspaces. Least Squares Regression (LSR) is a classical subspace clustering model because of its explicit solution and the good grouping effect that ensure the coefficient of close...

We propose a new approach to formulating the Scheduled Service Network Design Problem (SSNDP) that involves modeling with enumerated consolidations of shipments routed on the physical network. This is in contrast to the classical approach of capturing the synchronization of vehicles and...

Leveraging the unique context of New York City taxi rides, we estimate that passengers are 25 to 30 percentage points more likely to tip a suggested amount when presented an integer tip suggestion. Moreover, we find this behavioral response to integer suggestion varies by tip menu placement,...