Matches in SemOpenAlex for { <https://semopenalex.org/work/W2032687307> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W2032687307 endingPage "415" @default.
- W2032687307 startingPage "410" @default.
- W2032687307 abstract "Due to the lack of availability of micro-data of population characteristics, the synthesis of individual and household attributes is a necessary step for developing a disaggregate, dynamic travel demand forecasting model. Agent-based micro-simulation models attempt to forecast travel behaviour of individuals and households by simulating the behaviour of the singular actors in the system. The framework for generating synthesis population presented in this paper is a fundamental contribution to the development of an Integrated Transport, Land Use and Environment Modelling System in Nova Scotia, Canada. In this paper, a population is synthesized for individuals and households in Atlantic Canada using the Fitness Based Synthesis (FBS) approach. A synthetic algorithm is designed that allows both individual and household attribute levels to synthesize simultaneously. Unequal probabilities based on the sampling weight are used in the household selection step of the algorithm. In this way, the performance and accuracy of the synthetic population produced has been improved. The synthetic algorithm is tested for two functions: first, using the one level (household) control tables; and second, using two levels (individual and household) control tables. The data used in this study is collected from the 2006 Canadian Census and the 2006 Public Use Micro-data File (PUMF). The algorithm is implemented using a high-level matrix programming language for numerical computation in MATLAB. The results show that the synthetic population with both individual and household level attributes has the best fitness value." @default.
- W2032687307 created "2016-06-24" @default.
- W2032687307 creator A5029502782 @default.
- W2032687307 creator A5085231622 @default.
- W2032687307 date "2014-01-01" @default.
- W2032687307 modified "2023-09-27" @default.
- W2032687307 title "Synthesizing Population for Microsimulation-based Integrated Transport Models Using Atlantic Canada Micro-data" @default.
- W2032687307 cites W1537025923 @default.
- W2032687307 cites W1981806743 @default.
- W2032687307 cites W2015201073 @default.
- W2032687307 cites W2033320751 @default.
- W2032687307 cites W2058309190 @default.
- W2032687307 cites W2062925734 @default.
- W2032687307 cites W2077860232 @default.
- W2032687307 cites W2096591139 @default.
- W2032687307 cites W2152180600 @default.
- W2032687307 doi "https://doi.org/10.1016/j.procs.2014.08.061" @default.
- W2032687307 hasPublicationYear "2014" @default.
- W2032687307 type Work @default.
- W2032687307 sameAs 2032687307 @default.
- W2032687307 citedByCount "8" @default.
- W2032687307 countsByYear W20326873072016 @default.
- W2032687307 countsByYear W20326873072019 @default.
- W2032687307 countsByYear W20326873072020 @default.
- W2032687307 countsByYear W20326873072021 @default.
- W2032687307 countsByYear W20326873072022 @default.
- W2032687307 countsByYear W20326873072023 @default.
- W2032687307 crossrefType "journal-article" @default.
- W2032687307 hasAuthorship W2032687307A5029502782 @default.
- W2032687307 hasAuthorship W2032687307A5085231622 @default.
- W2032687307 hasBestOaLocation W20326873071 @default.
- W2032687307 hasConcept C127413603 @default.
- W2032687307 hasConcept C144024400 @default.
- W2032687307 hasConcept C149923435 @default.
- W2032687307 hasConcept C22212356 @default.
- W2032687307 hasConcept C2780015235 @default.
- W2032687307 hasConcept C2908647359 @default.
- W2032687307 hasConcept C33923547 @default.
- W2032687307 hasConcept C41008148 @default.
- W2032687307 hasConcept C42475967 @default.
- W2032687307 hasConceptScore W2032687307C127413603 @default.
- W2032687307 hasConceptScore W2032687307C144024400 @default.
- W2032687307 hasConceptScore W2032687307C149923435 @default.
- W2032687307 hasConceptScore W2032687307C22212356 @default.
- W2032687307 hasConceptScore W2032687307C2780015235 @default.
- W2032687307 hasConceptScore W2032687307C2908647359 @default.
- W2032687307 hasConceptScore W2032687307C33923547 @default.
- W2032687307 hasConceptScore W2032687307C41008148 @default.
- W2032687307 hasConceptScore W2032687307C42475967 @default.
- W2032687307 hasLocation W20326873071 @default.
- W2032687307 hasOpenAccess W2032687307 @default.
- W2032687307 hasPrimaryLocation W20326873071 @default.
- W2032687307 hasRelatedWork W1564108952 @default.
- W2032687307 hasRelatedWork W2498770258 @default.
- W2032687307 hasRelatedWork W2519399817 @default.
- W2032687307 hasRelatedWork W3022352304 @default.
- W2032687307 hasRelatedWork W3124394193 @default.
- W2032687307 hasRelatedWork W3125163098 @default.
- W2032687307 hasRelatedWork W4297610224 @default.
- W2032687307 hasRelatedWork W4313306327 @default.
- W2032687307 hasRelatedWork W573200309 @default.
- W2032687307 hasRelatedWork W9568104 @default.
- W2032687307 hasVolume "37" @default.
- W2032687307 isParatext "false" @default.
- W2032687307 isRetracted "false" @default.
- W2032687307 magId "2032687307" @default.
- W2032687307 workType "article" @default.