Spatial or Temporal Pooling Solves Wild Goose Chase

Posted: 5 Oct 2020

See all articles by Ming Hu

Ming Hu

University of Toronto - Rotman School of Management

Date Written: August 18, 2020

Abstract

The so-called "wild goose chase" phenomenon arising in the sharing system of vehicles such as cars, bicycles, and scooters, is referred to the long pickup time wasted on the road. Queuing theory is adopted to capture the spatial movements of vehicles in a centralized vehicle-sharing system. Then it is shown that both temporal and spatial pooling can resolve the "wild goose chase" problem to a large extent.

Suggested Citation

Hu, Ming, Spatial or Temporal Pooling Solves Wild Goose Chase (August 18, 2020). Available at SSRN: https://ssrn.com/abstract=3676065

Ming Hu (Contact Author)

University of Toronto - Rotman School of Management ( email )

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Toronto, ON M5S 3E6
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416-946-5207 (Phone)

HOME PAGE: http://ming.hu

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