Dalarna University's logo and link to the university's website

du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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
Establishing a Standardised National Data System for Evaluating Road Maintenance Emissions in Sweden
Dalarna University, School of Information and Engineering, Microdata Analysis.
Dalarna University, School of Information and Engineering, Microdata Analysis.
2024 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

A trustworthy and consistent data system is crucial for monitoring and reducing carbon emissions from road maintenance operations. Developing a national data reporting system requires technical support and a systemic plan involving multiple stakeholders to implement the standard. In Sweden, Trafikverket, the Swedish transport agency, recently initiated a project that proposed a solution based on the BEAst standard and outlined the current data collection methods for road maintenance. The BEAst standard is an agreed industry-driven information standard that promotes machine-readable information communication, effectively reduces costs, and increases efficiency by streamlining communication within the industry. This is to address the critical need for a trustworthy data system to monitor and reduce carbon emissions from road maintenance operations. Although the datasystem has high potential to identify the sources of carbon emissions and create mitigation measures by precisely gathering fuel use data throughout operations and maintenance activities. There are many challenges in integrating data from diverse sources into a consistent system revealed several obstacles, including differences in CO2 emissions reported by different systems, human factors affecting data quality,and limited access to cloud services. To address these challenges, this study proposes a new data reporting mechanism which requires a detailed specification of reporting parameters covering content, format, resolution, and reporting frequency using BEAst standards.

Place, publisher, year, edition, pages
2024.
Keywords [en]
Road maintenance, Emissions, Data system, BEAst standard, Data visualization, Data analysis, Simulation, Data standards, Sustainable transportation
National Category
Information Systems
Identifiers
URN: urn:nbn:se:du-48525OAI: oai:DiVA.org:du-48525DiVA, id: diva2:1858027
Subject / course
Microdata Analysis
Available from: 2024-05-15 Created: 2024-05-15

Open Access in DiVA

fulltext(968 kB)120 downloads
File information
File name FULLTEXT01.pdfFile size 968 kBChecksum SHA-512
e1523acd78fbba273c132d1166654a5c6e5748afef56edc8b3fe51dfc99e0ff4521f0ab1f4e071b5beb9cf027d1f1ac097d3d6d3d882274f0d32915f4d7e9c51
Type fulltextMimetype application/pdf

By organisation
Microdata Analysis
Information Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 120 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: 317 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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