Matches in SemOpenAlex for { <https://semopenalex.org/work/W622759723> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W622759723 abstract "As data collection costs escalate and travel behaviour models become more data hungry, it becomes increasingly important to exploit existing sources of data to the greatest extent possible. Data fusion as a means of combining disparate sources of data, collected from entirely unconnected surveys, is therefore an avenue worth exploring. In this paper, the authors explore the possibility of pooling data from the UK National Travel Survey (NTS) and the UK Time Use Survey (TUS) to model the impacts of household technology holdings on leisure activity participation. The authors test three different data pooling techniques: ad-hoc cluster sampling, Rubin’s multiple imputation, and a Bayesian conditional probability model. The Bayesian conditional probability model uses the TUS data to develop a posterior distribution of the technology holdings and then integrates the leisure type model estimated on the NTS data over this posterior distribution. The results reiterate the fact that this is the most behavioural of the three data pooling techniques, and also support our hypothesis that household technology holdings are correlated with out-of-home (OH) leisure activity patterns." @default.
- W622759723 created "2016-06-24" @default.
- W622759723 creator A5016984176 @default.
- W622759723 creator A5077430514 @default.
- W622759723 date "2013-01-01" @default.
- W622759723 modified "2023-09-23" @default.
- W622759723 title "Exploration of Data-Pooling Techniques: Modeling Activity Participation and Household Technology Holdings" @default.
- W622759723 hasPublicationYear "2013" @default.
- W622759723 type Work @default.
- W622759723 sameAs 622759723 @default.
- W622759723 citedByCount "0" @default.
- W622759723 crossrefType "journal-article" @default.
- W622759723 hasAuthorship W622759723A5016984176 @default.
- W622759723 hasAuthorship W622759723A5077430514 @default.
- W622759723 hasConcept C105795698 @default.
- W622759723 hasConcept C107673813 @default.
- W622759723 hasConcept C119857082 @default.
- W622759723 hasConcept C133462117 @default.
- W622759723 hasConcept C149782125 @default.
- W622759723 hasConcept C154945302 @default.
- W622759723 hasConcept C162324750 @default.
- W622759723 hasConcept C165696696 @default.
- W622759723 hasConcept C198477413 @default.
- W622759723 hasConcept C33923547 @default.
- W622759723 hasConcept C38652104 @default.
- W622759723 hasConcept C41008148 @default.
- W622759723 hasConcept C57830394 @default.
- W622759723 hasConcept C58041806 @default.
- W622759723 hasConcept C70437156 @default.
- W622759723 hasConcept C9357733 @default.
- W622759723 hasConceptScore W622759723C105795698 @default.
- W622759723 hasConceptScore W622759723C107673813 @default.
- W622759723 hasConceptScore W622759723C119857082 @default.
- W622759723 hasConceptScore W622759723C133462117 @default.
- W622759723 hasConceptScore W622759723C149782125 @default.
- W622759723 hasConceptScore W622759723C154945302 @default.
- W622759723 hasConceptScore W622759723C162324750 @default.
- W622759723 hasConceptScore W622759723C165696696 @default.
- W622759723 hasConceptScore W622759723C198477413 @default.
- W622759723 hasConceptScore W622759723C33923547 @default.
- W622759723 hasConceptScore W622759723C38652104 @default.
- W622759723 hasConceptScore W622759723C41008148 @default.
- W622759723 hasConceptScore W622759723C57830394 @default.
- W622759723 hasConceptScore W622759723C58041806 @default.
- W622759723 hasConceptScore W622759723C70437156 @default.
- W622759723 hasConceptScore W622759723C9357733 @default.
- W622759723 hasLocation W6227597231 @default.
- W622759723 hasOpenAccess W622759723 @default.
- W622759723 hasPrimaryLocation W6227597231 @default.
- W622759723 hasRelatedWork W1508553371 @default.
- W622759723 hasRelatedWork W1539445489 @default.
- W622759723 hasRelatedWork W1783833479 @default.
- W622759723 hasRelatedWork W1826125171 @default.
- W622759723 hasRelatedWork W1969051293 @default.
- W622759723 hasRelatedWork W2012023007 @default.
- W622759723 hasRelatedWork W2048649882 @default.
- W622759723 hasRelatedWork W2081076676 @default.
- W622759723 hasRelatedWork W2139198942 @default.
- W622759723 hasRelatedWork W2343582361 @default.
- W622759723 hasRelatedWork W2395254173 @default.
- W622759723 hasRelatedWork W2756910321 @default.
- W622759723 hasRelatedWork W2770457127 @default.
- W622759723 hasRelatedWork W3121349343 @default.
- W622759723 hasRelatedWork W3123836372 @default.
- W622759723 hasRelatedWork W3124071431 @default.
- W622759723 hasRelatedWork W3125305671 @default.
- W622759723 hasRelatedWork W3136520481 @default.
- W622759723 hasRelatedWork W602478611 @default.
- W622759723 hasRelatedWork W98677695 @default.
- W622759723 isParatext "false" @default.
- W622759723 isRetracted "false" @default.
- W622759723 magId "622759723" @default.
- W622759723 workType "article" @default.