Change search
CiteExportLink to record
Permanent link

Direct link
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
Trafiksäkerheten med autonoma bilar: Faktorer som kan påverka trafikanters uppfattning kring säkerheten med autonoma bilar
University West, School of Business, Economics and IT, Divison of Informatics.
University West, School of Business, Economics and IT, Divison of Informatics.
2021 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Road safety with autonomous cars : Factors that can affect road users' safety perception with autonomous cars (English)
Abstract [sv]

Autonoma bilar är ett utav de mest efterlängtade teknologierna som hastigt utvecklas i världen idag. De autonoma bilarna har redan tillämpats på vägarna idag och kommer med stor sannolikhet att fortsätta tillämpas i framtiden med de fördelar som de tillför. Men trots alla fördelar så kan samhället fortfarande känna sig osäkert på ifall det faktiskt kan förlita sig på fullt autonoma bilar. Det gäller att människorna känner sig säkra både när de sitter i bilen och när de befinner sig i den omgivande trafiken. Studien undersöker ifall kön, ålder, tillit och vetskap har en påverkan i hur människor i det svenska samhället uppfattar säkerheten med autonoma bilar i trafiken. En kvantitativ forskningsmetod i form av ett webbaserat frågeformulär användes för att samla in data. Frågeformuläret besvarades av totalt 265 respondenter mellan åldrarna 18-50+ där 121 var män och 144 var kvinnor. Den data som samlades in analyserades sedan genom den statistiska plattformen SPSS Software. Studien rapporterade att inget samband kunde påvisas mellan kön och säkerhetsuppfattningen utav autonoma bilar och likaså för faktorn ålder. Däremot upptäcktes ett samband för både faktorerna tillit och vetskap.

Abstract [en]

Autonomous cars are one of the most anticipated technologies that are rapidly evolving in the world today. The autonomous cars have already been applied on the roads today and will most likely continue to be applied in the future with the benefits they bring. But despite all the benefits, the society can still feel insecure about whether it can actually rely on fully autonomous cars. It is important that people feel safe both when they are in the car and when they are in the surrounding traffic. The study examines whether gender, age, trust and awareness have an impact on how people in the Swedish society perceive the safety of autonomous cars in the traffic. A quantitative research method in the form of a web-based questionnaire was used to collect data. The questionnaire was answered by a total of 265 respondents between the ages of 18-50+ of which 121 were men and 144 were women. The data collected was then analyzed through the statistical platform SPSS Software. The study reported that no association could be indicated between gender and the safety perception of autonomous cars and also for the factor age. However, a correlation was discovered for both factors trust and awareness.

Place, publisher, year, edition, pages
2021. , p. 58
Keywords [en]
Safety perception, Autonomous cars, Automation levels, Gender, Age, Trust, Awareness, Road users
Keywords [sv]
Säkerhetsuppfattning, Autonoma bilar, Automationsnivåer, Kön, Ålder, Tillit, Vetskap, Trafikanter.
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hv:diva-16581Local ID: EXI500OAI: oai:DiVA.org:hv-16581DiVA, id: diva2:1578590
Subject / course
Informatics
Educational program
Informatik
Supervisors
Examiners
Available from: 2021-07-20 Created: 2021-07-06 Last updated: 2021-07-21Bibliographically approved

Open Access in DiVA

fulltext(1344 kB)315 downloads
File information
File name FULLTEXT01.pdfFile size 1344 kBChecksum SHA-512
669ccb4114973b684137361df75950477e25abc3445e0be0f5de0451327fa03c2a8771598fa9143762033e14ae74d9b17af2c6e1792bac89798e19b240071fcf
Type fulltextMimetype application/pdf

By organisation
Divison of Informatics
Information Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar
Total: 317 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 485 hits
CiteExportLink to record
Permanent link

Direct link
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