147
Views
0
CrossRef citations to date
0
Altmetric
Research Article

How much efficiency improvement can a spatiotemporal window generate for shared mobility? A case study in New York City

&
Pages 757-772 | Received 30 Jun 2021, Accepted 12 Dec 2021, Published online: 24 Feb 2022
 

Abstract

The popularity of shared mobility services has increased in recent years. A complete door-to-door mode is typically deployed. However, the efficiency of the underlying resource utilization is limited in this mode. The space window, a recently developed concept, has the potential to optimize the underlying resource utilization. In this article, the impacts of this concept on the performance of shared mobility in major urban centres, e.g. New York City (NYC), is investigated. To this end, a dynamic routing framework with a spatiotemporal window in L1-norm and a dispatching mechanism are introduced. The operation data demonstrates a 15% reduction of the total distance travelled and the number of vehicles needed if passengers walk a few blocks. These results indicate that a spatiotemporal window holds the promise of a more environmentally friendly, energy efficient and intelligently shared mobility platform with alleviated congestion.

Disclosure statement

No potential conflict of interest was reported by the authors.

Data availability statement

The data that support the findings of this study are openly available from the website of The New York City Taxi and Limousine Commission (TLC) at https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page.

Notes

1 The data were collected from the website https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page.

2 A view of the main streets of Manhattan can be seen in the website https://www.openstreetmap.org/#map=8/40.534/-73.878.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,161.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.