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Assessing the potential for improving public transport in rural areas by using driverless vehicles
Kungliga tekniska högskolan.
2019 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Driverless vehicles might fundamentally change the transport system in multiple ways. Reducing driver costs in mobility services could create opportunities for new mobility concepts. Research on driverless vehicles have previously concentrated on urban areas, though driverless vehicles in rural areas could have greater positive effects. Hence, the aim of the study is to see how driverless vehicles can be used in rural areas to contribute to a more sustainable transport system. Three rural mobility concepts for driverless vehicles are developed and by applying these to different case locations, the feasibility of the concepts is discussed. Interviews with local actors in Sweden were conducted to learn about general and local challenges with specific case locations. What rural mobility concept for driverless vehicles to use depends on access to public transport, distance to main roads and spatial density of travel demand. A modelling approach of a first and last mile feeder service is used to evaluate the feasibility of this mobility concept further. Model results show that driverless shuttles can feed travel demands of 100-150 passengers daily and still perform alternative tasks. Even though rural areas have general challenges, local issues also need consideration to optimize the benefits of the services. Public transport authorities are experts on local challenges and could take more responsibility in questions regarding driverless vehicles. For instance, flexibility, accessibility and equality could be improved by merging routes and shorten travel times for entire bus routes. Furthermore, other societal functions can be developed by reinvesting capital in other areas. 

Place, publisher, year, edition, pages
2019. , p. 70
Series
UPTEC STS, ISSN 1650-8319 ; 19003
Keywords [en]
public transport, driverless vehicles, first mile last mile, rural areas
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:uu:diva-394107OAI: oai:DiVA.org:uu-394107DiVA, id: diva2:1357089
External cooperation
Integrated Transport Research Lab - KTH
Educational program
Systems in Technology and Society Programme
Supervisors
Examiners
Available from: 2019-10-03 Created: 2019-10-02 Last updated: 2019-10-03Bibliographically approved

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Transport Systems and Logistics

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf