Bus rapid transit – a review
Bibliographic record
Abstract
Bus Rapid Transit (BRT) has been demonstrated to provide efficient and effective public transport that can even increase transit ridership and attractiveness within defined urban corridors in both developing and developed countries. The merit of the BRT system lies in its ability to provide a high quality public transit service with limited infrastructure and at a relatively low capital and operating cost. In this paper an attempt is made to review BRT characteristics in some detail. An overview of the elements of BRT systems: the running ways, vehicles, stations, as well as operational control, fare collection and passenger information systems is presented. This paper also discusses how these elements allows BRT services to achieve the speed, capacity, reliability, accessibility and operational safety characteristics that distinguishes such systems from regular express bus services. Each built BRT system is unique and depends on how these basic elements are designed and integrated. Environmental, social and economic impacts, users’ perception and modal shift towards BRT have also been critically reviewed. With the presence of local land use and transport policies that support high-density and mixed developments, BRT has been found to attract potential developments around stations and along its corridor, increasing land values and promoting sustainable development. As reported in the literature, the infrastructure costs vary greatly depending on the costs of land acquisition, station design, degree of separation from traffic, technological features and material, labor costs. Thus, BRT capital costs cannot be generalized and must be transferred carefully based on the changes of the input costs that vary from one place to another. The barriers to BRT that block the achievement of significant success in customer satisfaction and ridership gains are mentioned with specific case studies. The review of BRT indicates that in some cases it has similar performance to higher order public transit; however, it still has its unique characteristics that set it apart.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".