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Resoundingly Human: Optimizing transportation scheduling for a win, win, win situation for all

Resoundingly Human: Optimizing transportation scheduling for a win, win, win situation for all

FromResoundingly Human


Resoundingly Human: Optimizing transportation scheduling for a win, win, win situation for all

FromResoundingly Human

ratings:
Length:
17 minutes
Released:
May 20, 2021
Format:
Podcast episode

Description

When the first rideshare companies launched more than a decade ago, it completely transformed our options for traveling from place to place. Gone were the days of hailing a cab from the side of the street, now your ride home, to work, or anywhere you need to go is just the click of a mobile app away. But does that mean that more traditional methods of transportation, like buses, trains and cabs, have become a thing of the past? How are they successfully coexisting in the same space, with popular rideshares like Uber and Lyft, and is there even a way for them to become mutually beneficial to each other? And ultimately, what role do consumers, their preferences and choices, play in all of this? To help uncover the answers to these questions, I am pleased to introduce Vikrant Vaze of Dartmouth College to share his insight on this topic. His study, “Transit Planning Optimization under Ride-hailing Competition and Traffic Congestion,” will be published in the INFORMS journal Transportation Science.
Released:
May 20, 2021
Format:
Podcast episode

Titles in the series (100)

Resoundingly Human, the podcast from INFORMS, is dedicated to bringing O.R. and analytics to life by highlighting the incredible contributions of the men and women who are using O.R. and analytics to save lives, save money, and solve problems.