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Estimation of large-scale tour generation model taking travellers' daily tour pattern into account
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics.ORCID iD: 0000-0002-3738-9318
WSP.
KTH.
2019 (English)Report (Other academic)
Abstract [en]

Tour generation is conventionally modelled separately per tour purpose. Tours with different purposes are however not generated independently of each other in reality. For example, few travellers conduct more than three tours per day. In this paper, the conventional tour generation model is extended into estimation of a model that takes travellers’ daily tour pattern into account. Results show that access to car and drivers’ licence, having a job and presence of children in the household increase the probability of making many tours in one day. Furthermore, results show that accessibility is an important factor for generation of non-mandatory tours, that weekend and holiday season are important determinants of when tour purposes are generated, that high income increases the probability of conducting business tours as well as tour patterns that include expensive activities and that high income reduces the probability of conducting cheap activities such as visiting friends and family.

Place, publisher, year, edition, pages
Stockholm: VTI , 2019. , p. 26
Series
CTS Working Paper ; 2019:3
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:vti:diva-14364OAI: oai:DiVA.org:vti-14364DiVA, id: diva2:1371999
Available from: 2019-11-21 Created: 2019-11-21 Last updated: 2019-11-21Bibliographically approved

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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