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Vehicle Utilization Rates Optimization in the Transport Network Company (TNC) Model.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Vehicle Utilization Rates Optimization in the Transport Network Company (TNC) Model./
作者:	Treasure, Michael W.
面頁冊數:	1 online resource (177 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
Contained By:	Dissertation Abstracts International79-07B(E).
標題:	Engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355568370

Vehicle Utilization Rates Optimization in the Transport Network Company (TNC) Model.
Treasure, Michael W.

Vehicle Utilization Rates Optimization in the Transport Network Company (TNC) Model. - 1 online resource (177 pages)

Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.

Thesis (D.Engr.)--The George Washington University, 2018.

Includes bibliographical references

This praxis develops a new logistics optimized approach to improve utilization rates in the TNC model and provides an alternative to the predominant existing TNC model used by both Uber & Lyft, which has been found to be inefficient in providing modern transportation mobility services. Utilization rates are looked at in terms of driver/vehicle loaded miles, unloaded miles, trip time (with rider onboard) and unloaded time (wait time between trips).

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355568370Subjects--Topical Terms:

561152
Engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Vehicle Utilization Rates Optimization in the Transport Network Company (TNC) Model.
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245 1 0 $a Vehicle Utilization Rates Optimization in the Transport Network Company (TNC) Model.
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300 $a 1 online resource (177 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
500 $a Advisers: Alan K. Gideon; Gina Guillaume-Joseph.
502 $a Thesis (D.Engr.)--The George Washington University, 2018.
504 $a Includes bibliographical references
520 $a This praxis develops a new logistics optimized approach to improve utilization rates in the TNC model and provides an alternative to the predominant existing TNC model used by both Uber & Lyft, which has been found to be inefficient in providing modern transportation mobility services. Utilization rates are looked at in terms of driver/vehicle loaded miles, unloaded miles, trip time (with rider onboard) and unloaded time (wait time between trips).
520 $a Four primary arguments are made regarding utilization rates: a) Through validated results of the implemented new optimized TNC model, this new model is more efficient than the current TNC model predominantly employed by the two largest transportation mobility services companies (Uber & Lyft). b) The newly optimized TNC model, because of the efficiency gains it achieves, leads to higher hourly compensation rates for drivers, without underlying increases in per mile and/-or per minute rates to drivers. c) Through a survey carried out the following were revealed: i. Drivers, on average, would prefer to work for longer hours at higher compensation levels, than they are currently being paid. ii. Higher compensation paid to drivers above a certain threshold does not proportionately lead to a preference by drivers to drive longer hours. iii. Drivers prefer to drive longer hours as full-time drivers, dispelling the notion that drivers, on average, prefer to work part-time over a full-time arrangement. d) The efficiency gains realized from the new TNC model may be used as a template to re-factor the driver pool levels employed by existing TNCs, such as Uber and Lyft.
520 $a The praxis ends with a summary, making the case that a re-factoring from using a higher driver pool level to a lower more sustainable driver pool level will lead to reduced driver turnover rates among TNCs and provide a better return on investment operational footprint for a more profitable deployment of autonomous vehicles on TNCs networks.
520 $a The final chapter of this praxis ends with recommendation on future research that the author recommends as a follow-up to this work.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
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650 4 $a Transportation. $3 558117
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773 0 $t Dissertation Abstracts International $g 79-07B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10742945 $z click for full text (PQDT)