Update README.md
Browse filesdoc and update datasets
README.md
CHANGED
|
@@ -1,32 +1,36 @@
|
|
|
|
|
| 1 |
|
|
|
|
| 2 |
|
| 3 |
-
|
| 4 |
|
|
|
|
|
|
|
|
|
|
| 5 |
|
| 6 |
-
##
|
| 7 |
|
| 8 |
-
|
|
|
|
|
|
|
| 9 |
|
| 10 |
-
|
| 11 |
-
- Dataset with bus landings data: a
|
| 12 |
-
- Dataset with bus occupancy data: [loader_03-05_2024.csv](loader_03-05_2024.csv)
|
| 13 |
|
| 14 |
-
|
| 15 |
|
| 16 |
-
|
|
| 17 |
-
|
|
| 18 |
-
| 44783654 |
|
| 19 |
-
| 43768720
|
| 20 |
-
| 230565994
|
| 21 |
-
| 125960550 |
|
| 22 |
-
| 45833547 |
|
| 23 |
-
| 44784438
|
| 24 |
-
| 47568123
|
| 25 |
-
| 44072192
|
| 26 |
-
| 258781031 | Salvador Bus Station
|
| 27 |
-
| 44783914 | Lacerda Elevator tourist
|
| 28 |
|
| 29 |
-
|
| 30 |
-
---
|
| 31 |
-
license: cc-by-nd-4.0
|
| 32 |
---
|
|
|
|
|
|
|
|
|
| 1 |
+
# Public Transport Time Series
|
| 2 |
|
| 3 |
+
## Overview
|
| 4 |
|
| 5 |
+
This dataset provides time series data on estimated boardings, alightings, and bus occupancy across selected stops in the public transport network. The data is aggregated in 30-minute intervals and was generated through the integration and analysis of multiple transport data sources.
|
| 6 |
|
| 7 |
+
- **Boarding data** was extracted using data mining techniques from **Automatic Vehicle Location (AVL)**, **Automatic Fare Collection (AFC)**, and **General Transit Feed Specification (GTFS)** systems.
|
| 8 |
+
- **Alighting data** was estimated using the **trip chaining** method.
|
| 9 |
+
- **Bus occupancy** was calculated based on the ratio of boardings and alightings per vehicle.
|
| 10 |
|
| 11 |
+
### Available files:
|
| 12 |
|
| 13 |
+
- [boarding_03-05_2024.csv](boarding_03-05_2024.csv): Estimated boardings per stop
|
| 14 |
+
- [landing_03-05_2024.csv](landing_03-05_2024.csv): Estimated alightings per stop
|
| 15 |
+
- [loader_03-05_2024.csv](loader_03-05_2024.csv): Estimated bus occupancy
|
| 16 |
|
| 17 |
+
## Description of Selected Stops
|
|
|
|
|
|
|
| 18 |
|
| 19 |
+
From over 2,700 bus stops in the network, ten were selected based on diverse and representative passenger flow patterns. The table below summarizes the characteristics of each location:
|
| 20 |
|
| 21 |
+
| Stop ID | Location | Observations |
|
| 22 |
+
|-------------|--------------------------------------------------------------------------|------------------------------------------------------------------------------|
|
| 23 |
+
| 44783654 | In front of the Federal University of Bahia (UFBA) | High volume of students and university staff |
|
| 24 |
+
| 43768720 | Lapa Station | One of the city's main public transport terminals |
|
| 25 |
+
| 230565994 | Itapuã Lighthouse Beach | Passenger flow varies throughout the day; higher on weekends and holidays |
|
| 26 |
+
| 125960550 | Arena Fonte Nova surroundings | Demand influenced by sports and cultural events |
|
| 27 |
+
| 45833547 | Near Manoel Barradas Stadium | Sharp increases in demand during game days |
|
| 28 |
+
| 44784438 | Near the Ferry Boat terminal | Primarily serves intercity and cross-bay travelers |
|
| 29 |
+
| 47568123 | Near a major shopping mall | High commercial traffic throughout the day |
|
| 30 |
+
| 44072192 | Close to Castro Alves Theater | Passenger flow increases during performance and event hours |
|
| 31 |
+
| 258781031 | Salvador Bus Station | Central hub for urban and intercity bus routes |
|
| 32 |
+
| 44783914 | Lacerda Elevator tourist area | Located in a busy commercial and tourist district |
|
| 33 |
|
|
|
|
|
|
|
|
|
|
| 34 |
---
|
| 35 |
+
|
| 36 |
+
**License:** [CC BY-ND 4.0](https://creativecommons.org/licenses/by-nd/4.0/)
|