Public transit performance from smart-card data
Research into the evaluation of public bus transit performance using smart-card data.
Explore the published researchThe question
How can smart-card records be used to evaluate the performance of public bus services?
- Ph.D. thesis: Evaluation of the Public Bus Transit Performance Based on Smart Card Data.
- Related METU public-transport research and smart-card performance evaluation.
My work
- Conducted doctoral research in Traffic and Transportation Engineering at METU.
- Studied evaluation of public bus transit performance using smart-card data.
Research method
- Evaluate smart-card data quality and identify gaps.
- Estimate boarding-stop locations and match bus routes with smart-card records using GIS linear referencing.
- Use the processed records to examine departure reliability, passenger loading and travel time for nine selected bus lines in Konya.
What I delivered
A completed Ph.D. thesis at METU in May 2024. Related selected conference work is listed on the research page.
Responsibilities are described within the stated institutional or project-team context.
Open research evidence
The public thesis records the analytical method and service-quality assessment. Explore its reported grades below, then inspect the original table.
From passenger records
to service quality
Explore published results from my doctoral research: nine selected bus lines in Konya, using smart-card data from the first week of October 2018.
Compare the three day types in the published table.
How did boardings compare with capacity?
The study compares boarding validations with service capacity. These are the published passenger-per-capacity grades.
| Bus line | Ridership group | Grade |
|---|---|---|
| 650 | High | F |
| 10 | High | E |
| 450 | High | F |
| 600 | Moderate | C |
| 260 | Moderate | C |
| 300 | Moderate | C |
| 900 | Low | A |
| 940 | Low | A |
| 430 | Low | A |
A indicates the highest quality category; F the lowest.
Historical research sample. Table 5.8, thesis p.80 (PDF p.100), published 2024.
From data to an assessment
- CleanValidate transaction data.Thesis p.31
- MapCorrect GIS stops/routes.Thesis p.35
- AssignEstimate boarding stops/directions.Thesis p.31
- TimeEstimate arrivals via linear referencing.Thesis p.43
- EvaluateRate TCQSM service.Thesis p.31
The study sample and period are specific to this doctoral research. Grades reproduce the published table; no improvement percentage or current network condition is inferred.
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