Bilevel optimization is a field of mathematical programming in which some variables are
constrained to be the solution of another optimization problem. As a consequence, bilevel …

Tactical and operational decisions must nowadays be made in production and distribution
systems to allocate the best possible locations for the establishment of service centers …

The importance of curbside management is quickly growing in a modernized urban setting.
Dynamic allocation of curb space to different usages and dynamic pricing for those usages …

During the COVID-19 pandemic, the collapse of the public transit ridership led to significant
budget deficits due to dramatic decreases in fare revenues. Additionally, public transit …

This paper studies how to integrate rider mode preferences into the design of on-demand
multimodal transit systems (ODMTSs). It is motivated by a common worry in transit agencies …

The transportation science research community has contributed to numerous practical and
intellectual innovations and improvements over the last decades. Technological …

Urban transport networks, yet essential, are frequently impacted by recurrent disruptions
such as public transport failures, adverse weather or strikes. Flexible transit systems can be …

This paper reconsiders the On-Demand Multimodal Transit Systems (ODMTS) Design with
Adoptions problem (ODMTS-DA) to capture the latent demand in on-demand multimodal …

This paper reports on the results of the six-month pilot MARTA Reach, which aimed to
demonstrate the potential value of On-Demand Multimodal Transit Systems (ODMTS) in the …

Capturing latent demand has a pivotal role in designing public transit services: omitting
these riders can lead to poor quality of service and/or additional costs. This paper explores …