Latest revision as of 11:38, 16 February 2021

Abstract

We present a spatial scoping indicator of the potential impacts of an all-inclusive taxi service as part of a plausible but hypothetical Mobility as a Service (MaaS) package in Manchester UK. Our indicator identifies the number of people in each area who have some potential for mode shift from walking, cycling, public transport or car commuting to an all-inclusive taxi service within a MaaS package. We find the method quick and straightforward. In our case study, potential to shift from walk to an all-inclusive taxi service within a MaaS package is almost double the potential shift away from car, which represents a risk of increased car use.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.32866/001c.11524 under the license https://creativecommons.org/licenses/by-nc

• http://eprints.whiterose.ac.uk/154540/1/PhilipsWalmsleyAnableScopingMaaS_AuthorAccepted.docx

• https://transportfindings.org/article/11524.pdf

• http://transportfindings.scholasticahq.com/article/11524-a-scoping-indicator-identifying-potential-impacts-of-all-inclusive-maas-taxis-on-other-modes-in-manchester.pdf,

https://doaj.org/toc/2652-0397 under the license cc-by-nc

• https://findingspress.org/article/11524-a-scoping-indicator-identifying-potential-impacts-of-all-inclusive-maas-taxis-on-other-modes-in-manchester,

https://transportfindings.org/article/11524-a-scoping-indicator-identifying-potential-impacts-of-all-inclusive-maas-taxis-on-other-modes-in-manchester,

https://transportfindings.org/article/11524.pdf,

http://eprints.whiterose.ac.uk/154540,

https://www.scilit.net/article/39e01b1746562541ade8299b9b27b89f,

https://academic.microsoft.com/#/detail/2998860790