Using GIS to Examine Transportation Connectivity in Saskatchewan
Bibliographic record
Abstract
Transportation services (transit, bus, shuttles) in rural areas are critical for connecting to larger urban centers where social and health services are predominantly located. The province of Saskatchewan, Canada, is largely rural, and residents cite a lack of knowledge of what transportation services are currently available. Through conducting an environmental scan, we collected information on types of transport (public and private), modes of transportation, hours of operation, cost, booking, route information, geographic boundary, passenger capacity. This study used GIS to illustrate the transportation connectivity in Saskatchewan, including connectivity between all cities. The results showed that there are significant challenges in connecting rural areas with medium and large urban centers. Many communities do not have any transportation options, and those that do, are costly and restrictive in terms of routes and schedules. The geographical maps show the gaps in transportation connectivity. This information is important for policymakers and industry to show where connectivity can be improved. Keywords: transportation, rural, GIS, geography _______________________________________ Utilisation du SIG pour examiner la connectivite des transports en Saskatchewan Les services de transport (transports en commun, bus, navettes) dans les zones rurales sont essentiels pour se connecter aux grands centres urbains ou les services sociaux et de sante sont principalement situes. La province de la Saskatchewan, au Canada, est en grande partie rurale, et les residents citent un manque de connaissances sur les services de transport actuellement disponibles. En effectuant une analyse de l'environnement, nous avons collecte des informations sur les types de transport (public et prive), les modes de transport, les heures d'ouverture, le cout, la reservation, les informations sur l'itineraire, les limites geographiques, la capacite des passagers. Cette etude a utilise le SIG pour illustrer la connectivite des transports en Saskatchewan, y compris la connectivite entre toutes les villes. Les resultats ont montre qu'il existe des defis importants pour relier les zones rurales aux centres urbains moyens et grands. De nombreuses collectivites n'ont pas d'options de transport, et celles qui en ont, sont couteuses et restrictives en termes d'itineraires et d'horaires. Les cartes geographiques montrent les lacunes de la connectivite des transports. Ces informations sont importantes pour les decideurs et l'industrie pour montrer ou la connectivite peut etre amelioree. Mots-cles: transport, rural, SIG, geographie
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".