ASSESSESMENT OF GLOBAL SYSTEM FOR MOBILE COMMUNICATION (GSM) ON TRAVEL DEMAND AND ECONOMIC DEVELOPMENT IN IBADAN METROPOLIS, OYO STATE, NIGERIA
Bibliographic record
Abstract
The post-mobile era presents us with countless challenges in every facet of our lives. For instance, in order to make a purchase, we must travel to the market, but thanks to mobile commerce, mobile phones enable us to conduct business from the comfort of our homes. Today's traffic system needs to improve in efficiency to handle the demand for travel that is only going to increase as well as the need to lessen its impact on the environment. The purpose of this study is to investigate how GSM has affected the city of Ibadan's travel demand. Stratified random sample and purposive sampling strategies were employed in the study to deliver 125 well-structured questionnaires to the chosen road users from the chosen vehicle park within the city of Ibadan. The results indicate that the majority of respondents, or 53.6% of the sample, make trips with a purpose. Trip purpose is significant in the study area and contributes to an increase in traffic flow. Due to the many businesses that each study participant operates, it was found that minibuses and taxis were the most readily available modes of transportation for mobility along the study's chosen routes. Additionally, the study's findings indicate that the usage of GSM can occasionally have a substantial impact on the influence of travel demand. The findings demonstrated that, at a significance level of 0.05, each of the three selected indices (cost of travel, purpose of journey, and traffic reduction) had a statistically significant difference between the group means, with R equal to 0.74. The study's findings revealed that, the purpose of a journey plays a significant role in the study area and increases traffic flow using the available transportation options. The cost of services, the cost of the journey, and other factors were taken into account to determine the demand for travel. Similarly, there is a favorable correlation between human conduct and cell phones. In order to ensure efficient and long-lasting communication, it was suggested that the government create a policy requiring all mobile phone service providers to meet certain standards.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".