Influence of Travel Behavior, Personal Preferences, and Lifestyle on Perceived Convenience to Amenities among Calgary Residents
Bibliographic record
Abstract
The presence of essential amenities, such as grocery stores, parks, and employment, within convenient distances impacts individuals’ travel behavior and quality of life. Whereas what is perceived as a convenient distance varies among individuals, the goal of this research is to better understand perceived convenience in the context of differing lifestyles, sociodemographic characteristics, and personal preferences. Using an online travel behavior survey with a sample of 711 residents from Calgary, Canada, we segmented individuals into eight distinct groups based on travel behavior and personal characteristics. We then examined their perceived convenience to reach various amenities among each group, and the actual distances to these amenities. Our results reveal eight distinct typologies that differ according to mode choice, lifestyle, neighborhood characteristics, and trip satisfaction. We observe that distance negatively affects reported convenience to work, grocery stores, and parks, but reported convenience is also closely related to modes available as well as to transport and home location options that meet individuals’ preferences. Typologies in which individuals are able to select their preferred transport options or home location typically report a higher convenience of access to various destinations, and this is especially true for typologies with high cycling, walking, and public transport mode shares. This study demonstrates the importance of providing individuals with a variety of affordable options in relation to transport mode and home locations, which can be of interest to researchers and planners concerned with improving convenience of access to local amenities by sustainable modes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".