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Record W627730921

Age-Based Analysis of Travel by Children in Calgary, Canada

2006· article· en· W627730921 on OpenAlexaboutno aff
John Douglas Hunt, Kevin Stefan

Bibliographic record

VenueTransportation Research Board 85th Annual MeetingTransportation Research Board · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsTRIPS architectureTravel behaviorGeographyTravel timeLeisure timeMode choicePsychologyDemographyAdvertisingTransport engineeringSociologyPhysical activityPublic transportBusinessMedicineEngineering
DOInot available

Abstract

fetched live from OpenAlex

This paper attempts to analyze the activity patterns and resulting travel behaviors of children aged 0-17 who live in Calgary, Alberta, Canada. This paper includes analysis of activity patterns and time use, trip purposes, mode choice, trip time of day and the correlation between the travel patterns of children and other household members. By looking at trends across all ages, it is seen that children behave in a more independent fashion as they age. Older children participate in more out-of-home activities, spend longer traveling, and take a wider variety of travel modes. Additionally, they are seen to make more trips by themselves rather than with other household members. The central role of school travel is illuminated and investigated in further detail, including the location of so-called ?homework? activities and the role of parental chauffeuring in the home-to-school trip. Weekend behaviors are also analyzed, including the importance of leisure travel on weekends, and the strong tendency for children to travel with the family.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.011
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.360
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2006
Admission routes1
Has abstractyes

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