Recently there has been a surge of interest in operations research (OR) and the machine
learning (ML) community in combining prediction algorithms and optimization techniques to …

Over the past two decades, there has been explosive growth in the application of robust
optimization in operations management (robust OM), fueled by both significant advances in …

We examine the effect of the introduction of ridehailing in US cities on fatal traffic accidents.
The arrival of ridehailing is associated with an approximately 3% increase in the number of …

A bike-sharing system is a shared mobility mechanism that provides an alternative
transportation mode for short trips with almost no added travel speed loss. However, this …

Conventional optimization algorithms that prescribe order packing instructions (which items
to pack in which sequence in which box) focus on box volume utilization yet tend to overlook …

We are entering an era of great expectations towards our cities. The vision of “smart city” has
been pursued worldwide to transform urban habitats into superior efficiency, quality, and …

The process of opinion expression and exchange is a critical component of democratic
societies. As people interact with large language models (LLMs) in the opinion shaping …

The rebalancing of idle vehicles is critical to mitigating the supply–demand imbalance in on-
demand ride services. Motivated by a ride service platform, this paper investigates a short …

Restaurant delivery platforms collect customer orders via the Internet, transmit them to
restaurants, and deliver the orders to customers. They provide value to restaurants by …

With the rise of e-commerce and increasing customer requirements, logistics service
providers face a new complexity in their daily planning, mainly due to efficiently handling …